Webinar IAPA - Reimagining Public Administration Education in the Digital Era
FULL TRANSCRIPT
kebajikan.
Ee Bapak, Ibu sekalian, selamat datang
di ee dalam webinar nasional IAPA
bertajuk Reimaging Public Administration
Education in Digital Era atau merumuskan
kembali masa depan pendidikan
administrasi publik di era digital.
Jadi perkenalkan saya dr. Nyiah Hutari
Dewi. Selain bertugas sebagai moderator
pada hari ini, saya juga merupakan ee
wakil ketua umum bidang kerjasama
Nasional dan DUDIKA IAPA serta direktur
Program Pasca Sarjana Universitas
Ngurahrai.
So, good morning ladies and gentlemen.
Welcome to the IA
webinar reimagining public
administration education in the digital
era. Allow me to introduce myself. I'm
Dr. Nyomandriahutari Dewi. In addition
to moderating today sessions, I serve as
the vice president for national
cooperation and industry academic
partnerships at IAPA. and also the
director of the postgraduate program.
So admit the rapid dynamics of
technology we have gathered with expert
and practitioners to
how
public administration education
transform. Today we will gain profound
insights from our three distinguished
speakers who are joining us. Today,
sebelum kita memulai sesi diskusi utama
dengan para narasumber, marilah kita
dengarkan sambutan hangat sekaligus
pembukaan resmi acara ini.
Ee untuk itu
kami mengundang Ketua Umum Indonesian
Association for Public Administration
eh IAPA, Prof. eh Kirul Muruk untuk
memberikan kata sambutan. Before we
proceed to our main discussion with the
speakers, let us begin with a warm
welcome and the official opening of this
event. For that, we would like to invite
the president of the Indonesian sport
public administration,
Yapa. Dr. Kir Muruk eh to deliver the
welcome speech. Prof. Muluk the screen
is thank you.
Terima kasih, Bu Dia. Asalamualaikum
warahmatullahi wabarakatuh. Selamat
Waalaikumsalam.
Selamat pagi dan salam sejahtera untuk
kita semua. Good morning distinguished
speakers Prof. Alfred Ho, Prof.
Andiwijaya, Dr. Rino Ardian and my
college Bu Diah Putari Dewi as a
moderator and for all participant from
across Indonesia and beyond.
Pertama kita panjatkan puji syukur ke
hadirat Allah Subhanahu wa taala Tuhan
yang maha esa karena hari ini kita untuk
pertama kalinya dalam kepengurusan IAPA
saat ini ee melaksanakan webinar ya
mungkin yang kedua karena bulan lalu
juga sudah ada ya tapi ee hari ini
tentang webinar series
ee Ibu Bapak sekalian I will combine
opening remarks both in Indonesian and
English ya we are living now in an era
marked by rapid digital transformations
artificial intelligence big data
analytic platform governance
and algorithm driven decision making
that are saping the way govern
governments operate and interact with
with citizens
digitalization is no longer merely an
administrative tool it has become a new
architecture of governance.
Satu hal yang saat ini tidak bisa kita
hindari bahwa ee disrupsi digital sudah
kita alami saat ini. Ada kecerdasan
artificial, ada big data, ada platform
governance, ada perubahan
pola interaksi antara negara dengan
warga negara. Digitalisasi saat ini
bukan lagi sekedar alat bantu
administrasi.
Ia digitalisasi sekarang telah menjadi
arsitektur baru dalam governance.
The reality resist a fundamental
questions.
Is our public administration education
system still adequately prepared for
this transformation?
A our curricula our curriculum still
rooted in the 20th century bureaucratic
models while governance practices have
already moved into the digital
ecosystems of the 21st century.
We need reimagining education does not
simply mean updating costly only. It
requires us to rethink our paradigms,
our competencies, and even our
professional identity.
Saat ini pertanyaannya, Ibu sekalian
adalah apakah pendidikan administrasi
publik kita sudah cukup responsif
terhadap perubahan governance digital
governance tersebut? Apakah kurikulum
kita masih berbasis pada
model birokrasi abad ke-20? Sementara
praktik pemerintah sudah bergerak
menjadi ekosistem digital abad ke-21.
Di sini kita perlu membayangkan kembali,
reimagining, membayangkan kembali kita
tidak sekedar akan memperbarui silabus
RPS, kurikulum kita, tapi kita sedang
menata paradigma kita.
At least we have three major challenges
that facing public administration
education globally I think including
Indonesia.
First is epistemic challenges, tantangan
epistemic.
Dan yang kedua adalah tantangan
pedagogic, pedagogical challenges.
And the third one is normative and
ethical challenges.
Secara global pendidikan administrasi
publik memang akan menghadapi tiga hal
tersebut. Epistemik, pedagogik, dan
norma dan etika dalam menghadapi digital
governance.
Ibu Bapak sekalian, distinguished
participans,
eh in Indonesian context this challenges
are even more complex. We face
disparities in digital infrastructure,
variation in institutional capacity
across regions and diverse sociocultural
realities.
Therefore, reimagering public
administration education Indonesia must
address three strategic agendas.
Situasi di Indonesia tantangannya
menjadi lebih kompleks karena kita
menghadapi disparitas infrastruktur
digital.
Ada yang sudah maju, ada yang sangat
tertinggal. Ada banyak variasi dalam
kapasitas kelembagaan
dan ada realitas perbedaan sosiokultural
di masyarakat kita. Oleh karena itu,
pendidikan publik saat ini saya kira
kita sedang menghadapi ee tiga agenda
strategis, ya. Satu, membangun
kompetensi digital aparatur.
ini ee SDM penting bagi kita termasuk
literasi data, desain kebijakan digital,
evidence based policy. Yang kedua,
agendanya adalah menguatkan kepemimpinan
publik yang adaptif
yang mampu bekerja dalam situasi
ketidakpastian dan kompleksitas. Dan
yang ketiga adalah meneguhkan kembali
nilai publicness.
Publicness ini penting. Banyak isu yang
sedang kita hadapi. Bahwa teknologi
hanya adalah sekedar instrumen.
Teknologi adalah instrumen. Teknologi
bukan tujuan. Tujuan kita tetap publik.
Tujuan kita tetap kesejahteraan dan
keadilan sosial.
Technology
as a mere instrument but our proposes
actually the public itself. public
interest
and including promotes inclusive
development.
Ibuak sekalian sebagai organisasi
profesi dan akademik IAPA tetap memiliki
tanggung jawab moral dan intelektual
untuk memimpin diskursus ini. Kita tidak
boleh sekedar menjadi pengamat
perubahan. Kita harus menjadi arsitek
perubahan.
melalui forum ini saya berharap nanti
dan ini bukan yang pertama Ibu Bapak
sekalian jadi akan ada seri-seri
berikutnya saya berharap nanti kita
lahir dari IAPA gagasan konkret gagasan
konkret tentang pembaharuan kurikulum
termasuk model kolaborasi antara kampus
dan pemerintah serta roadmap penguatan
pendidikan vokasi pendidikan akademik
dan profesi administrasi publik di era
digital. Ibu Bapak sekalian, di
Indonesia administrasi publik masih
memiliki dua jenis pendidikan,
pendidikan akademik dan pendidikan
vokasi. Kita berusaha juga membangun
pendidikan profesi administrasi publik.
Still, we have to we have two kind of
higher education eh platform in
Indonesia, vocational and academic. But
we need in the future we have
professions eh education in public
administrations.
Webinar ini sekali lagi hari ini bukan
akhir. Mudah-mudahan ini awal dari
percakapan kita yang lebih besar. Kita
akan mendorong konsolidasi nasional
untuk merumuskan standar kompetensi dan
arah pengembangan pendidikan
administrasi publik Indonesia yang
adaptif terhadap transformasi digital.
Ee pada akhirnya saya menyampaikan
apresiasi dan terima kasih kepada
seluruh narasumber.
Eh,
my sincer gratitude to our distinguished
speakers for sharing their insight.
Prof. Eh, Alfred Ho, Prof. Andi
Ftawijaya, Pak Rino and of course Bu
Diah ya.
Dan saya kira ini menjadi tantangan kita
ke depan, masukan kita ke depan.
Mudah-mudahan kita bisa membangun
disiplin ilmu kita dan profesi kita
lebih maju lagi. Saya kira demikian IAPA
ini secara resmi ee kita mulai, kita
buka, kita mulai. Mudah-mudahan membawa
manfaat bagi administrasi publik di
Indonesia. Terima kasih. Asalamualaikum
warahmatullahi wabarakatuh.
warahmatullahi wabarakatuh. Terima kasih
kepada Ketua
Umum IASA sambutan yang sangat
inspiratif. Dan Bapak Ibu sekalian yang
ada di Zoom meeting pada hari ini.
Sebagaimana telah disampaikan pendidikan
administrasi publik memang harus
bertransformasi.
Nah, untuk membedah strategi tersebut
kita telah menghadirkan tiga pakar luar
biasa. Jadi izinkan saya memperkenalkan
mereka satu persatu. Eh, thank you to
the president of Yapa for the truly
inspiring remarks. Ladies and gentlemen,
as previously mention, public
administration education must transform.
To this strategies we have invited three
exordinary experts please allow me to
introd
the
Prof. Alfred T
M PhD. So Prof. Alfred is IAPA
International
Honorary Members and the dean of the
College of Liberal Arts and Social
Science class city University eh of Hong
Kong. So I read some of eh
eh Prof. Alfred eh articles and it's
quite eh impressive.
So I would like to you know to read your
short bio first so everybody will know
who you are. So eh Alfred Tatho. Prof.
Alfred itu adalah chair profesor bidang
kebijakan publik dan tata kelola serta
Dekan College of Liberal Art dan Social
Science di City University of Hong Kong.
Jadi beliau merupakan FILO eh overseas
dari National Academy of Public
Administration and Vice President eh
untuk Asia di International Research
Society for Public Management. Fokus
penelitian beliau adalah meliputi
manajemen kinerja pemerintah,
e-goverment, partisipasi warga, dan
kolaborasi lintas sektor. Beliau juga
berkolaborasi dengan berbagai organisasi
internasional seperti United Nations
Stade and Development and ASEAN
Development Bank. dan eh beliau meraih
gelar sarjana dari Chinese University of
Hong Kong serta gelar MPA dan PhD dari
Indiana University Bloomington, USA dan
telah mengajar lebih dari 20 tahun di
Amerika Serikat sebelum kembali ke
Hongkong pada tahun 2020.
So I saw in one in your in the article
in the news that Prof. Alfred is eh
given you know the US experience
provided
eh Prof. had many opportunities to
develop his professional and academic eh
career
and eh you know I interest to your some
of your foods that I took from the news
that you initiated that because you felt
that you may be to distance from
students so you have been gone for so
long and there are probably multiple
generation or other gaps between you and
young
leaders department across
together in the summer you examine the
purpose of competence based educations
and discuss how you would redesign your
department programs with extraculitural
activities be to better equip students
for the 20th century and over Richard
University. So this is quite impressive
and this is you know it's a long eh bio
of eh Profo. So we cannot read this now.
So you guys can look googling him. There
are a lot of article about him. So tanpa
menunda waktu lama lagi mari kita
memulai sesi pemaparan. Jadi
masing-masing narasumber akan diberikan
waktu 20 menit. So without eh without
further ado, let us begin the
presentation sessions. Speaker will have
20 minutes. So to our first speaker,
Prof. Ho, the screen is yours. Thank
you.
Thank you so much for your generous
introduction and thank you for
uh telling uh your audience a little bit
about my background. I I am not quite
sure actually I live up to all those uh
wonderful words. So I will try my best
um to share some of the lessons I've
learned. Um I am sharing this screen.
Could you see it? Okay. The full screen
of my PowerPoint. Yep. Okay.
Okay.
Yep. Okay. Good. So, um I think I have
30 minutes to go through my slides. Is
that right?
Yep.
Okay.
Yep. And everyone could hear me. Okay.
Yes.
Yep. So um I'm going to uh talk a little
bit about um uh government in the
digital era for uh president will look
uh point about the reality that we are
in the digital era government has to use
a lot of digital tools and then we will
talk a little bit about the big data
world uh which is already happening and
then also a lot something about the data
applications uh in different public
management and also some of the lessons
We have learned from the US experience
also uh from the Asian or Chinese
government experience and then some of
the implications finally on the proper
administration education and I would uh
love to share with you what we are doing
at City University of Hong Kong and then
have some concluding thoughts. By the
way um since all of you are in the
public administration world so um I
could tell you that uh we are very
honored to have the opportunity to work
with the internation association of
public administration. Uh some of your
leadership have been here and some of
also your members have been here to
participate in a uh hotline service
management conference last year in
November. So they have already kind of
seen what we are doing in e-government
and also uh digital government service
delivery in the region including some of
the represent from Kazastan and so we
are really looking to this our
university or our public administration
uh department called public and
international affairs department uh
which I am part of is actually highly
ranked. Um uh according to the QS
ranking we are ranked 37 in the world in
the Shanghai ranking we are actually
ranked number seven in the world because
of our research and so that actually
means we actually have surpassed Chingha
Pikingu and Oxfor and Cambridge on
public administration so uh we have a
lot of international faculty members uh
we have about 45 faculty members in
public administration department and so
it's almost like a school so we have a
lot of experts uh in this area and I
have to say that I am now not the
cutting edge. Um uh some of my
colleagues are much better than I am. So
I'm actually summarizing some of the
research um that some of them have done
and I have done. Hopefully all of you
will have a chance to come here to Hong
Kong and and meet my colleagues and we
will also send our colleagues to come to
Indonesia and meet with you and so that
we could really have some international
exchange. Right? So I will um go through
this very quickly. Um I think all of you
already know this and so I will actually
go through this quickly. First of all um
we indeed we are using a lot of data
analytics to improve service delivery.
We're using all kinds of technologies
enhance the uh governance and also
service delivery. Governance is broadly
defined including the relationship
between citizens and the government. a
lot of citizen participation now is done
through digital means also uh in in a
large extent we are now also looking to
the infrastructure to develop uh the
digital government because we need to
have a software system with a hardware
system now I'm sure Indonesian um uh
governments local or national are all
look in the AI and with AI another
infrastructure issue is about energy
where you get going to get your energy
to run all this big data model and AI
models. Right? So infrastructure also
has become very important but
infrastructure also has to go with not
only the hardware infrastructure,
physical infrastructure but also the
social infrastructure and the
technological and also the human
capacity and so uh a government in the
digital also need to think about talents
and abilities of the government sector
and so uh very quickly uh behind all the
digital uh tools uh about data uh we
have a lot of data but let me first of
all define what big data means because
it is very controversial. Now of course
big data some for some people it really
means a lot of data the volume is very
important but also it talk a little bit
about the complexity of data meaning
that we now getting all kinds of data
not only in terms of text form but also
we be getting video form uh files etc
and so it's a very complex file uh
complex format structure and also
unstructured data and how we harness the
uh the the information together is very
important also we are talking about
the volatility volatility means actually
key question now we are struggling in
government uh is how long you will keep
your and save your data buuse we have
the uh legal responsibility
accountability government sometimes have
to show some record to be accountable to
the legislature and to citizens right so
do you store your data in six months 2
years 5 years 10 years right storing
data actually become a very big
questions but then sometimes we have big
data every minute every second is
happening sometimes the data after 5
minutes is waste is no use but do you
still need to store the data so big data
have this kind of uh volatility issues
also we have variability issues in
meaning that sometimes the data actually
could fluctuate a lot there's nothing
nothing but the in social media if
there's a explosion of some social
events or some controversy sudden you
get a
social media data then you need to deal
with it right so emergency response etc
so this kind of variability of data
really trigger what analytical tools you
need to think about so since you are
talking about public administration
education so sometimes the traditional
methods that we are learning uh
regression etc actually don't deal with
the big data methods anymore so we need
new new new learn and use some new data
tools to do it and Also another issue is
about veracity
veracity means that in big data world we
have to assume that there were errors we
have to assume that there will be biases
so in the perfect world all all data are
clean and etc in the big data world you
have no time sometimes to clean all the
data etc so if there are if there errors
what do you do with that and so there
are some kind of issues about that uh in
the big data world and also there are
possibilities of personalization uh in
public admission education Since we are
all talking about this uh I just had a
meeting yesterday uh with my colleagues
uh talking about AI and implication of
AI for education for university
education for primary school and
secondary school education there are now
possibilities with AI that we could
personalize what you learn so I'm sure
IAPA in the future may do it uh local
office shows in budgeting they have a
whole sequence of uh uh training
whatever modules right some of the local
official may go through that faster.
Some of them have certain question about
accounting or about auditing or about um
uh budgeting participation etc. There
are different modules and so in theory
based on the interest or based on the
competition needs you could personalize
all these through the AI tools and
platform and so uh there are great
possibility of personalizing by tracking
what people look at or what people
interest in tracking through the text.
Um and so we could actually personalize
some of the service delivery and so
that's another issue about public
service public administration education
now we really tailor our public service
vary to the individual citizen needs and
so that's a great possibility and it
will change our education model also of
course there will be vulnerability uh
because there will be attack there will
be cyb security concern etc and so uh
some of this have been talked about in
my long time ago talk about the IBM
report and so indeed We have a lot of
tools now. Um, and so I think many of
you have used some of these tools. I
just want to also say that despite uh
while you're seeing all this and we of
you use these tools, I actually also
have to go back to one issue. I don't
know whether that's true in Indonesia
but in Hong Kong also in China we still
need to think about some part of the
population will not use digital tools.
They have to see a person. they have to
see a a customer service person. So in
government here in Hong Kong as well as
in even in Chinese cities they still
have the customer service center. In
fact we just had a project with Hong
Kong police talking about how to
actually improve the service center in
different districts because there will
be some citizen who still go to that
district and so of course inside the
district office they could have digital
tools and kios etc but they will still
need a physical space. So I think we
have to think about digital tools are
everywhere you use it a lot but then how
you combine the digital tools with in
person tools are very important and also
tailor these tools for different
different demographic groups and so uh
another issue there and of course we are
in the internet uh of things in the IoT
world and there are so many gadgets so
many things that are capturing uh our
data now um so in the government uh data
reach I want to show you uh this uh
slide first of all for some of you who
are older or who are more mature I would
say I should not use the word old now
all of all of us are young in heart but
for some of us who work in the
government for longer time I don't know
what you recognize these pictures first
of box and boxes of paper right those
are public record now could you digitize
them scan for all the into turn into
text of PDF and images right there's one
big task how you keep all the records
and archive them but also some of them
the data are in actual
tape files in some of the government
agents, they may still have this old
data in old tape files. What do you do
with all this old old data? Right? Of
course, we have internet information, we
have social media content, we have
communication data. I'm sure in your
police force you have a lot of digital
tools uh now and so in the Hong Kong
also in many cities I know there are all
kinds of cameras in front and in behind
and all the communication tools. All the
policemen now have camera and they are
all kinds of uh digital tools to capture
on the roads now sensors on the road to
capture transportation data and
transportation uh congestion issues CCTV
uh mobile phones uh smart meter etc so
all these will give us a lot of data and
so basically data analytics tools are
there and so for public admission
education now we in the data rich world
how we should harness all this data to
do planning
to do customer service to do citizen
communication to do resource allocation
budgeting to do logistic management
personnel management procurement
performance evaluation in in
governmental in the departmental
collaboration um all these will actually
impact how we change and we think public
administration education so i don't know
uh in your curriculum now uh I'm sure
you have strategic planning I'm sure you
have customer service I'm sure you have
personnel management Right? All these
are traditional causes but since you're
talk about public administration
education in the digital era to watch
then when you talk about all these
topics do you have your professors have
your colleagues think about how digital
tools are included into all these topics
right give you one example personnel
management so we are talking about that
in our office here since I'm now uh the
dean of a college we have seven
departments here about 200 uh some
faculty members
about um 8000 students etc. And so we
are talking about personnel management
as as a university as college right um
now uh of course we have a lot of
paperwork so first of all uh we could uh
digitize all the paperwork and now we
have a platform to approve this approve
that etc right but in theory now in
theory uh suppose we actually could uh
use uh digital tools to track a a a
staff career development and see what
companies they are looking at whether
they are performing good in certain
areas etc and then do some staff
development etc and also theoretically
now we could use AI to do some of the
work so in personal management suddenly
we have uh some issues about to extent
we could actually eliminate some of the
human management of uh paperwork and use
AI to replace the human then some of
stuff should uh to should do some other
work and also In America I know for sure
that in theory they could actually have
a office screen and they could actually
look at what you are doing every minute
and so you could indeed track whether
that staff is actually doing work uh
effectively or they are actually just
open up the computer and then walk away
right so to ex you're using these tools
and should you use some of these tools
very interesting uh proposition there
and so um so again uh I just want to a
case study um and I think uh professor
Oscar professor Muk have seen this uh
when they were in Hong Kong. In China
now a lot of uh cities have what they
call one two three f system. So what
that means is we talk about customer
service right. So in Hong Kong or in
many cities they used to actually say
okay if you have a problem about seer
system you call one number if something
about garbage problem you call the
garbage department you something about
traffic you call the traffic
transportation department right
different numbers different email
different website for different people
in China now they have what they call
one two f used to be just a phone number
so you call one two th 4 f by phone and
they will answer any questions any
problems no departmental differentiation
then they will handle it behind the
scene one stop shopping right now they
have evolved into they have phone they
have airforce in person customer service
desk in a building or in some district
offices they also have a a web portal
that means they have a online website
they now have a mobile phone app and so
everything now is captured through all
this means and so they will track all
this where they have problems what time
they have issues and they have this
dashboard behind the scene in the 12345
uh uh digital center and track where
those issues are minute by minute and
also in different areas of the city so
that they know how to handle these
issues. They have now involved in such a
way that they are now talking about how
to do predictive analytics. meaning that
they know for sure in certain time
period at certain time in certain season
in certain areas these issues may pop up
so now they actually will prevent these
things of happening by intervene early
to try to solve this problem so that
citizen don't need to complain they are
doing predictive analytics to really
address the citizen concern and they now
have gone into some other issues and
this is where since you talk about
public administration education in a
traditional public administration we are
government focus right we are training
local officials to look at what we do in
the departments in government uh
boundary within government boundary but
now in China also in some other cities
in the US also they are now building
what you call interdepartmental
intersectoral collaboration meaning that
even though things are not happening
within the government is happening in
society happening in businesses they
will harness all the data and solve the
problems together So now in one two th 4
f system it's not just government
service they have now working they are
now working with business and investment
companies etc to look at how they to
address business problems so that they
could make the city more business
friendly when a business want to apply
for licenses or certain services or etc
they now are using one two th 4 f system
to address the pinpoints they are also
working with NGO non-profit
organizations societal and neighbored
organizations
to look at some of the issues they are
also scanning through social media to
look at what citizen talk about so these
are the social media like you know we ch
you know know all this platform now they
are not opered by the government agency
but they actually scan through the
social media to look at what c talk
about and then they will actually adjust
those issues proactively don't wait for
c to call the hotline so now they're
even doing that so i'm what I'm telling
is that means the government
administration education Now is going
beyond what you are dealing with in your
government office. They're looking to
society. Now we are looking to what they
call societal governance issues. It's
society wide governance. public
administration is now broaden into this
social governance issues and so it's
very interesting and and so again if you
look at uh some of the within government
world I have done this report some time
ago I think it's still valid is how you
harness different data and you need to
you do need to think about um as organ
again we talk about all kinds of data
mobile data in uh administrate data
survey data you have survey data still
maybe uh uh sensor data etc but I think
it's very important also to look into
how you harness all the data together
and also how you think about the policy
and laws and ethical boundaries. We'll
come back to that a little bit. Um so
and then you after you have done some uh
some of this and then you actually think
about how to use explorated data how you
actually do a data visualization have
some internal decision making to talk
about the data insight and then change
the decision making and then actually go
back and improve your service and then
you evaluate the results outputs and
outcomes and then you actually feedback
and look at the impact on society and on
businesses and then you go back and
collect more data right so you see this
complete information complete cycle of
information and I would say if you look
at this graph this diagram when you
think about what it means about public
administration education in the digital
era this tells you what we're doing I'll
give you an example since uh uh
professorari you asked about you
mentioned I want to improve the
competency uh several years ago when I
was a department head and now I'm the
dean so uh I don't look at the
departmental level uh work directly
anymore however when I was department I
forced or I beged my colleagues to say
um now you look at my diagram I did
research and so I look at my own
students in public administration these
are undergraduate and also master
assistance and said look data analytics
are very important so I asked a question
are they learning data analytics are
they learning Python
now was before p AI come up and now
people say you don't need to learn
programming anymore because of AI but I
think learning some basic Python is
still very important because then you
could at some AI troops right so at that
time I look at my public administration
students undergraduate student I say
have are they learning Python of course
these are you know social science and
humanity students right so say oh we
don't learn Python I said no no no so at
that time I I force and I beg my
colleague say let's change the
curriculum now in my public
administration department now we
actually change the curriculum we have
two choices of languages they have to do
have to pick uh
what call choice meaning that first you
have to learn a computer language
meaning python or they have to pick it
or if you say oh no I really hate
statistics I really don't want to learn
out or Python that's okay then we
basically required to learn a foreign
language now unfortunately we haven't
asked them to uh offer Indonesian yet
but we have we are offering French and
Italian etc so with that I think in the
publicion era I think we look so we are
actually asking our students to look
into all this um and so um and so we are
actually practicing things because we
actually expect our students to be more
data litera data literate and so they
have to have some data uh programming
background so we are forcing them to do
this and so uh I'm skip some of this um
uh um and so I would just like to say
that in the propion world uh this is
happening uh there are a lot of data
center etc now Um by the way facial
recognition is also another new tools
that a lot of us are using now in all
the cities 10 15 years ago people
complain about it about privacy concern
etc.
Now it's everywhere and now if you come
to Hong Kong airport
you don't even need to use your passport
anything facial recognition you pass the
gate right you go to a office building
facial rec you go through now in my
university I actually don't even need to
have ID card we have a gate to come in
the university campus and there's facial
recognition and they look at my face and
then they let me come into the office so
we are using all these tools now now
that means there are also data behind
right facial recogn all digital data. So
of course there's a drone uh is also uh
being used now. We are using a lot of
surveillance also collecting data from
the air. I just want to tell you that
this is nothing new. When I was in the
US uh 10 years ago they were actually
talking about using drone fly up there
to look at the border and so look at
drug trafficking. So in Mexico etc using
US technology to make basic monitor how
the drug uh uh they they go to one spot
do some harms and kill some people etc.
And then they run away right so if they
have a drone sitting in the air for 2
hours looking down the street looking
down in the city they could always
monitor that city uh 24 hours. Right?
And so so drone technology has been used
for surveillance etc like this very a
lot of
case study etc etc about
drone usage now and they are now using
it more and more in Hong Kong now we are
now using drones to actually look at a
forest fire risk and also put out fire
so because there are some forest uh
issues there and so we are now using
drones to do that and so um um of course
uh not coming down to that uh very
quickly I administrative data,
nonvermental data, survey data, social
media, etc. We are all putting all this
together. I think this is actually
something that is actually maybe
relevant to you. This study was done uh
more than 10 years ago in the US. I did
this study. However, I actually have to
say that this issue is still there.
Okay. I I don't know about Indonesian
local government. A lot of the
digitalization issues is about first off
we have outdated IT system. So there's a
lot of concern about that. Also there's
insufficient training. Okay. I don't
know whether that you face the same
issue also that we don't have enough
high quality programmers officials and
though they are lot of concern about
data quality. Yes, we have lot data but
the in paper form or some of the data
have errors and not clean out data
issues right and also there's not enough
support from the department and so these
are all some of the concerns and I'm
sure uh uh this is very common in many
governments local governments even
national government agencies and so what
I would say is that the implications
quickly let me just wrap up is we need
to think about uh of course we need to
embrace we need to have more engagement
with practitioners especially companies
and see how we go with companies
together and uh professor Oscar I know
you have a company doing this already so
you are now the cutting edge we need to
learn from your example but also we need
to think about procurement and counting
health a lot of the service now could
not be done within government that means
a lot of this have to be done through
procurement service so government
actually means a lot is about contract
procurement so that that means so that
means in the public administration
education
Do you have a lot of at least have one
class on procurement when we did our
study a lot of public administration
curriculum actually have no class on
procurement
so that's there's a limit there not not
much not many people talk about
procurement and and and conturing out
and so um be think about data management
uh and uh I do want to say uh a little
bit about so this uh we already talk
about competency and governance issue. I
just want to uh I will skip all this. Um
I'm sure you know there are all kind of
ways to visualize the data. I'll skip
all this but I think this is actually a
maybe a final point I want to uh make
given the time.
I think the major data governance issues
uh could be summarized in this table.
Okay. This a two by two matrix. Number
one is what can be done given the
technology and your capacity. Okay. Now
I actually emphasize not only technology
but also giving you staffing and
resource capacity right what can be done
because there are all kinds of AI tools.
There are all kinds of e-government
tools right but what are your limits
right and you need to know your limit
and what your budget etc. And then you
look at uh what cannot be done yet given
your limit right so you need to think
about these two but then you look at the
left hand side what should be done is a
is a um is ethical also policy and legal
issue what should be done given a
community's social legal political and
cultural context and then what should
not be done I would say this is a key
issue summarizing data governance issue
facing different local government or
different different countries
In some government, in some culture, in
some governance system, you could do a
lot of things with data but if you go to
another country, go to another legal
context even though they have data you
cannot use that because of the legal
constraint for example in Hong Kong now
we have a lot of privacy constraint and
so even within between departments some
of the department data are not shared in
Hong Kong now because of some legal
boundaries so that they cannot share the
data yet and so we cannot do what
Beijing or Shanghai are doing because of
our existing legal limits. Now we're
trying to break down some of the sidles
now passing through new legislation etc.
But this table really showcase some of
the governance issues and I think uh for
Indonesia I think uh it will be good for
you all to talk about your current
situation and also think about what you
want to do in the future but there are
also cultural context and so uh do you
have all these issues and also there are
some deeper issues about data governance
who should own the data now with AI this
data ownership issue become bigger when
you upload everything to chat GBT and G
uh Gemini You basically surrender all
your data to uh Open AI and also to uh
Google.
Are you willing to do that? So in Hong
Kong government now a lot of times the
agencies themselves keep all the data
and they just load the programming the
AI tools into the agency without
surrender data up. So there are a lot of
data governance issues also the roles of
private industry and propnership also to
what extent you should regulate or
should let the government uh uh the
market to do it and uh who should pay is
a very important issues. I think uh for
public administration education to wrap
up if you think about some of the
digital eras the financing and budgeting
issues are very important how you should
finance the digital infrastructure
become a very important topic I have
prepared a lot more slides but I think
um um uh some of the value questions
also there are all of issues about
digital participation and there are all
kinds of ways uh that we could leverage
that but because of time I I probably
should stop here and I will
be happy to come back and look at some
of these issues also there some risk
analysis of risk issues and so maybe
I'll just stop here. Thank you so much.
Thank you, Professor H. I know that time
is very limited right
but you know Bapak Ibu bisa undang Prof.
Ho ya kalau untuk further apa eh
discussion atau kuliah umum nanti eh ke
depannya. So, what a outstanding
presentation. So, eh apa yang bisa kita
apa eh kita dapatkan tadi pada
presentasi eh Prof adalah ada beberapa
key
transformation itu adalah pergeseran
dari birokrasi kaku ke digital era
governance yang lebih responsif dan
kolaboratif. Dan ada juga eh big data
ekosistem bagaimana kita memanfaatkan 5V
volume, velocity, variety, verity and
value. Bukan sekedar sebagai tumpukan
data, melainkan alat pengambilan
keputusan berbasis bukti atau evident
base. Nah, ada juga eh Prof. Ho
menyebutkan smart application. Jadi,
bagaimana penggunaan analitik data untuk
layanan publik yang proaktif dan
prediktif mulai dari manajemen darurat
hingga deteksi ee untuk korupsi. Dan ada
key
learn yang dipelajari adalah teknologi
hanyalah alat keberhasilan utama
bergantung pada restruksi
ee
restrukturisasi
organisasi dan keamanan data. Nah,
bagaimana future education kita menurut
Prof. adalah pendidikan administrasi
publik harus mencetak pemimpin yang data
save atau m-kata jadi dengan fokus kuat
pada integrasi teknologi dan etika ya
semua sudah mengalami di sini bagaimana
kita ee harus ee ee melag
terutama dalam pengelolaan di dalam
perguruan tinggi. Jadi bagaimana untuk
eh saving waktu dan eh saving data dan
lain sebagainya. Oke, thank you very
much for your presentation.
Hold eh moment. Jadi, tahan
pertanyaannya ya, Bapak, Ibu. Karena
kita akan ada sesi eh Q&A di terakhir ee
pada saat ee pembicara terakhir nanti
Prof. ee Prof.
Jadi kita eh sekarang akan let's move to
our next perspective to deep our
understanding of how this strategies are
implemented. Eh we will welcome Prof.
Dr. Drs. Andi Wijaya, MDA, PhD. Beliau
adalah Prof. Andi PEPA is the advisory
boards of IAPA and also the dean of
faculty administration science
Universitas Brawijaya Malang for period
of eh 2021 until 25.
Eh Profepta
also
eh one of my em lecture before. Senang
bertemu kembali Prof. Eh dan juga
eh saya akan bacakan
dari Prof. eh Andi FTA. Jadi eh Prof.
Andi Feptawijaya is professor at
Universitas Brawijaya who previously
served as the dean of the faculty of
administrative science for the 2021
until 25. He is a faculty member in the
department of public administration and
teaches in the masters and doctoral
program in administrative science. So he
completed his undergrade studies at
Universitas Brawijaya, earn his masters
degree from Australian National
University and obtain his PhD from
Flinders University and special
specialisting in public management. In
addition to teaching, Professor Andi is
actively engaged in research, community
service and
publications and is widely recognized
for his academic oration on a public
policy model based on collaborative
governance plus multielix.
Jadi demikian adalah video dari eh Prof.
Andi eh jadi untuk mempersingkat waktu
eh the screen is thank you.
Oke, thank you Ibu Dia Hutari as
moderator. Eh, please let me to share my
screen.
Iya.
Eh, anybody can see Bu moderator? Bu
Dia, can you see my screen?
Yes. Yes, Prof. Clearly.
Oke. Oke. Thank you. Eh, I will please
let me start my presentation. Eh, thank
you very much eh kepada Prof. Eh, Mulu,
Prof. Koirul Mulu as the head of eh
Ayapa and also thejen eh Mas Oscar PhD.
I would like to thanks to the IAPA to
invite me as a eh pemateri ya to give eh
to present about eh my title I pick up
as architecting the digital state
framework for reimagining public
administration education. And I first of
all I would like to say hello to the all
people who are already join in this in
this eh seminar or conference ya. And eh
to those eh kehendak eh
fasting ya eh saya mendoakan supaya ee
fastingnya barokah dan bisa berjalan
dengan lancar. eh dan juga untuk eh
seluruh member of I would like to thanks
and say hello to all of them and then
also my student I invite here to join
with this program including
undergraduate student and postgraduate
student in Malang also in Jakarta and
also some international student eh who
join with us today. I invite some
doctoral student eh who eh come from eh
some country ya the I eh now as a
promotor of their dissertation and I
invite them to have experience in this
very good event and I also to thanks to
the others eh
eh pemateri eh ke speakers ya Prof.
Alfred Ho and also eh Prof. eh
satu lagi Pak anu ya dari
Mbak Rino.
Pak Rino ya Pak Rino ya. Baik
dari UNS.
Dari UNS baru aja kemarin kita visit to
UNS. Nah ini fotonya waktu dewan pakar
ya. And I would like to thanks to EI ya
AI artificial intelligency because I
create many picture
eh using AI ya to give a presentation
today ya. This is just eh the picture is
imagination ya because eh meeting of our
dewan pakar expert eh council in Ipa eh
dihadiri oleh Donald Trump dan Putin.
Nah ini creation of eh AI ya eh yang
mana kita bisa mengcreate dalam
education kita, dalam presentation kita
atau dalam materi-materi kita dengan
menggunakan AI. So I would like to
thanks to AI also who as a machine ya to
help me to create eh many eh pictures
ya. Eh oke I would like to start my
agenda. We have six point here.
Empirical condition and problem, core
digital competencies, literature review
and theoretical framework.
The three pillars of reimagine public
administration education and policy
recommendation digital ready public
administration education and core
strategic pillars. Let me jump in the
first point ya about eh the current
situation. This is eh the problem
statement
eh eh we have the disconnect ya between
traditional Liberian bureaucratic
training and the demand of digital era
governance atau DEG and eh as we know
that eh Weberan birocracy as the old
public administration era still eh
dominate ya in term of eh conceptual in
and conceptually conceptually and
practically in running eh eh Indonesian
public management we are now try to move
to the new public management and
governance eh but eh the percentage eh
of the success is really depend on the
what happen in the field I guess that
practically we still up eh apa tuh buon
50% ya we still in the in thean
birocracy even though we try to move ya
to the npm andn governance but we still
have the condition like that so the
significancy of this why eh technical
literacy is no longer an elective but a
requirement for a democratic
accountability so i saw how the trump in
the picture ya eh get Heik ya ketika
menghadapi transformation from Weberian
birocracy in USA to digital era of
governance ya. So not only Indonesia who
have
in transforming to the digital era and
then after that eh we look to the data
ya comparison table ya population versus
internet user early 2026 ya and eh in
the world ya eh we have eh 5.2 20 eh 5
eh million million eh miliard ya
billiard ya pers ya kalau Indonesia itu
miliard ya 8,25 miliar internet usernya
in the world sudah mencapai 73.2%.
Nah in compare ya the user internet
still in Europe ya 91.5%
of European eh inhabitant itu sudah
menggunakan internet gitu ya. In eh
Amerika is the second ya, America in
total ya. Ini termasuk Amerika Latin dan
lain-lain. This is 85.2%.
Indonesia it's quite amazing ya. From eh
285
eh million people 80.5%
eh use internet. So
quite big number ya in term of Indonesia
as a state ya. So eh as the key point ya
Europe and America have the highest
penetration meaning most of their
population is already online. Ya.
Indonesia performance Indonesia is stand
out by having a higher penetration. Ya,
Rate tadi eh 80.5%
compared to overall Asian average Asian
average only 91.7%
so the digital divide Africa reminds the
region with the most significant offline
population representing
opportunity for future infrastructure
growth. Ya. So Afrika still left behind
eh to compare to the other regions and
eh UN golf development index ya XG this
is the indicators ya to show eh how far
eh the commit to the internet eh
development ya. So eh we can compare
this is the top three global seat ASEAN
in Indonesia. So global seat the top
three is Denmark, Estonia and Singapore.
The countries are the gold standard ya
they have achiev near to totalization of
public services. Singapura hold a dual
title as about the top three global seat
and the first rank in ASEAN serving as a
regional benchmark. So if you want to do
benchmarking ya I think eh better we see
ketika kita ingin mengadakan benchmark
ya. Tiga negara ini sebagai top seat
saat ini di bidang ini yaitu Denmark,
Estonia dan tetangga kita Singapura ya.
Indonesia milestone ya. Indonesia made a
significant jump ya lompatan yang
signifikan. kita lempat jump of certain
rank ya 13 ranking eh from dari 77
ranking in 2022 ke 64 rank in 2024. Nah,
Indonesia eh masuk dalam high club ya
for the first time Indonesia score cross
the 0.75
ya moving from the high category into
the very high category. Nah, in Asian
dynamic Indonesia is no firmly position
in the top four of ASEAN out performing
the Philippine and Vietnam. Eh, the gap
but the gap between Indonesia in
Malaysia and Thailand is narrowing but
eh Singapore already far away eh on the
top of usia and Indonesia score 0.7991
7991.6382
ya.
Nah, eh key performance indicators ya
some related to the to the this eh rel
to the e performance ya human capital
index and telecommunication
infrastructure
in electronic participation globally we
ranking certified globally and human
capital index also eh reminds a
challenge ya this masih tantangan untuk
Indonesia to compare to Europe eh
teknologi already exist but digital
literacy among general public and civil
se is still catching up. So kita eh
literasi digital eh di antara eh publik
secara umum dan ASN kita itu masih coba
untuk mengejar ya ketertinggalan dalam
ee digital literasi ini eh PR dalam atau
home homework ya untuk human capital
kita atau sumber daya manusia kita
terutama yang di ASN juga. Kemudian
telecommunication infrastructure
Indonesia score is rushing du to karena
kita mengaplikasikan sekarang sudah
menginstal ya the palaping or 5G
expansion eh meskipun ya walaupun still
lag ya masih lag behind ya masih di
tertinggal dari highly defense fiber
network of Europe and East Asia gitu
kan. Nah, eh problem of public
administration education in in digital
era. Jadi melihat situasi data dan fakta
yang sudah saya sampaikan tadi. Apa
problem eh public administration
education eh in digital era. Nah,
digitalization bring highly complex
challeng to public administration
education. The core issue is no longer
just how to use a computer but how to
sive a rigid bureaucratic mindset into a
adaptive one. So we move to rigid
bureaucratic mindset to an adaptive one.
So the first one about legging eh
legging curriculum ya kurikulum yang
terbelakang legging. Many public
administration study program still focus
on classical theories yaan the emphasis
hierarchy and formal procedure problem
curricula often lead incorporating
strategic material such as data analytic
artificial intelligency in public policy
and cyber security
nah ini ilustrasi karikatur ini juga
saya coba menggunakan artifill intellig
ya saya juga langsung mengaplikasikan
Dan ini sekarang ee alhamdulillah ee ada
sedikit apa ya kompetensi improvement
untuk saya dan beberapa teman yang ee
involve di sini ee sehingga kompetensi
kita memang harus terus ditingkatkan
untuk hal-hal yang seperti ini. So,
impact graduate understand ya how to run
a birocracy but struggle ya when
managing a dynamic digital ecosystem.
Jadi tidak hanya perlu hanya bagaimana
merunning sebuah birokrasi, tetapi yang
paling penting adalah kita me-manage a
dynamic digital ecosystem ya, ekonomik
ekosistem digital yang dynamic gitu loh.
Nah, ini bagaimana e capacity ini yang
perlu kita tingkatkan ke mahasiswa kita.
Eh, the second adalah eh problem digital
literacy gap. I'll illustr illustrated
in the previous discussion. Ya,
technologi often arrive faster than the
human capacity humanity. Jadi selalu
teknologi itu datangnya lebih cepat dari
kapasitas ee sumber daya manusia
sehingga kita harus kacap terus menguber
atau atau harus terus berusaha ya
menguasai teknologi itu. Nah, problem
education frequently focus on producing
operator. Jadi pendidikan itu
seringkiali fokusnya pada memproduksi
operator technical skill. Whereas eh the
actual need is for digital architecture
atau the digital architect where the
strategic ability to design integrated
public service systems. Ya, jadi civil
for example in civil se atau di ASN isu
ya aparatur civil negara kita many
senior officials still really on manual
analog methods yaven when digital system
are available creating a double
inefficiency ya processing boot manually
and digitally nah ini juga inefisiency
karena secara manual kita juga harus
menyediakannya secara digital kita
memprovidingnya karena bahkan ASN yang
di dalam pemerintahan kita juga masih ee
alergi dengan ee digital literasi karena
masih mereka tergantung pada manual
analog gitu ya. Nah, ini yang ketiga ya.
Problem yang ketiga adalah
interoperability
issues and silo mentality gitu ya. Nah,
in nah ini alhamdulillah ini ee apa
memberikan
ilustrasi gambar seperti ini di mana
kementerian itu ee bekerja
sendiri-sendiri sifatnya silo. Ee tapi
memang saya memberikan prom prom ya
kepada AI. Nah, ini teman-teman juga
harus ahli dalam prom ya kalau
menggunakan AI tergantung promnya gambar
yang ditampilkan oleh AI. Nah, problem
education of jadi in public
administration also everyd department
tend to create its own independent
application. Nah, bukan hanya di
kementerian, di masing-masing fakultas
di universitas seringkiali masing-masing
eh faculty of departement itu create its
own independent application. Nah, di
kementerian juga refleksinya seperti itu
ya. Education often fail to emphasize
the importance of interoperability.
nya
menjadi terpisah silo bisa dijalankan
hanya untuk kepentingan unit itu sendiri
where cen must
of different account for different
services. Jadi dengan banyaknya servis
layanan yang diberikan mereka harus ee
masuk kepada different account yang
berbeda-beda yang disediakan oleh
masing-masing kementerian atau
masing-masing unit ya. Whereas they
ideally only need one digital identity,
single sign on. Nah, ini kita sedang eh
menuju ke sana, kita sudah sudahed
meng-create di beberapa hal eh apa sigle
sign on ya ee walaupun dengan beberapa
kendala.
Kemudian for digital ethic and data
privacy digitalization involve the
massive collection of citizen data
problem education often overlook the
aspect of data ethic and privacy
protection
impact the increases eh the risk of data
lag eh or
algo eh algorithmic eh bias which can
discriminate against certain social
group during the distribution of social
aid or other eh public eh services. Nah,
five eh cultural resistancy to to change
ya. Eh public administration is
historically designed to be stable and
slow to ensure eh digitalization demands
agility.
Eh, jadi eh historically public
administration itu didesain yang stable
atau slow untuk to ensure caution ya,
kehati-hatian dalam arti konteks bahwa
kita memerlukan agility tuntutan dalam
era digitalisasi. Nah, desain pendidikan
kita masih mengarah kepada hal yang
stable ya. public administration
education has not fully success in
teaching agile agile governance impact
birocrat feel threaten by the
transparency
broke by digitalization because their
power previously derived from
information exclusivity is now open to
the public. Jadi eh bisa jadi birokrat
itu eh protect terhadap dirinya sendiri
dan tidak support the digitalization ya
karena eh information exclusivity yang
mereka ingin keep ya ingin eh jaga. Nah,
jadi conclusion the greatest problem
lies eh on not in the availability of
tools but in human capital. Ya, tidak
hanya saja kepada ketersediaan alat atau
aplikasi ya, tetapi juga pada kapital,
human capitalnya ya. Nah, bagaimana eh
SDM kita? Public administration
education must transform from simply
teaching state governance into becoming
an innovative innovation laboratory that
prioritize efficiency data security and
easy of access for all levels of
society. And then the next eh point
adalah the core the core digital
competency that modern public
administration student sold master.
The first is the important one is data
literasiy and analytic ya. Administrator
no longer just manage people. They
manage information. Evident based
policy. Nah, ini juga sangat diperlukan
ya. the ability to use a big data to
identify trends, predict social needs,
and evaluate policy outcome. And the
third basic statistic and visualization
proviency in tool like tablue, Power BI
or even advance Excel to turn compact
data into understandable narrative for
for the public and stakeholders and eh
laboratorium in my class ya including eh
S1, S2, S3. kami juga menerapkan ee
penggunaan AI ini dalam bantuan
menggunakan case study base ya untuk
masing-masing eh subjek yang ada di yang
kebetulan yang saya asuh gitu ya.
Kemudian digital strategy and agile
governance. Digitalization is not about
eh
digitizing a paper atau
digitzation ya but redesigning the
process ya. digital transformation.
So understanding how manage project in
interactive cycle rather than the slow
traditional waterfall bureaucratic
method. So kita perlu me-manage project
in iterative cycle dan ini juga bisa
menjadi case base daripada student kita.
Kemudian intro. Nah intro. Nah, ini juga
saya membawa eh master class, we have
master class double degree linkage
dengan Jepang yang dulu saya inisiasi
mulai 200627
ya. Ini Mas Oscar, Our Sekjen ini dulu
adalah ee apa istilahnya sekretaris saya
ya untuk merunning ini dan sampai
sekarang ee join degree kelas ini masih
eksis ya dan kita menggunakan ee
beberapa project sampai sekarang. Nah,
ini juga saya menginvite ya student
double degree to Japan. Nanti mereka
akan berangkat ke Jepang 1 tahun dan
juga ada yang ke Australia kelas double
degree Australia dan saya juga invite
mereka untuk join di sini. And all of
them adalah ASN yang eh apa e yang
cemerlang ya karena bisa tembus dalam
kelas ini yang scholarship from the
government.
and then interoperability awareness ya
understanding how to design system that
talk each other across different
government against affect data silus ya
any any com sorry
and third ya human center design ya eh
this is modern public service is
measured by user experience
service design learning how to map a
cizen journal journey Ya. How a citizen
apply for a birth certificate and
simplifying it reduce a friction. So
inclusivity no exclusivity ya ensuring
digital platform are accessible to
eldery people with disability and in
remote area with low bandwid.
for digital ethic and cyber eh security
ya as a cadian of citizen data and
administrative primary in protection
two thing in digital ethic that
important ya data privacy and also cyber
hig ya data privacy is knowledge of the
legal and ethical framework for handling
personal information
cyber higin understanding the basic of
network security and the risk of social
engineering to prevent data bridge in
government offices. And then the fifth
ya AI literacy and algo rhthmic
accountability
eh AI oversight ya understanding how AI
can be used eh for like traffic
management or social ad distribution
while being aware algorithmic bias
preventing the AI from being unfair to
certain group. Nah, ini kita juga harus
cek eh
algorithmic bias yang mungkin terjadi ya
sehingga AI itu kemungkinan juga menjadi
unfair to certain group. Nah, ini kita
juga harus eh harus eh evaluate and
monitor ya bagaimana AI bekerja. Walau
bagaimanapun AI adalah mesin gitu ya.
seperti saya mengcreate beberapa picture
ini beberapa kali kadang tidak sesuai
dengan prom yang saya inginkan sehingga
kita harus merubah prom lagi gitu ya
karena memang ini adalah mesin gitu.
Nah, from engineering the ability to use
generative AI tool to draft report
summariz regulation or research policy
alternative efficient and literature
review and theoretical framework related
to this I think I just mention it ya
transitioning from new public management
efficiency or market based to digital
era governance reintegration and
holistic
digitization
digitization ya, references dan LAVI at
all. Kemudian sociotechnical lens ini
juga eh theoretical framework yang
usually use kalau kita menulis tentang
hal ini. Understanding that technology
in govern government is embeded in
social and political power structure.
Ya. Kemudian competency gap analying
current scholarship on why public sector
field at IT procurement and digital
transformation.
Nah, kita jump to the next point ya.
Three pillars of reimagine public
administration education. The first one,
the first pillar is data stewardship and
algorithmic
ethic. The second pillar is agile
methodology and public design. And the
third pillar is network leadership. Ya.
So, the first pilar ya kita moving using
tools to governing tools ya. Jadi kalau
sebelumnya itu hanya menggunakan alat,
sekarang kita harus governing alat,
mengelola alat itu untuk eh PA education
kita. Focus on data privacy, bias in AI
and ethical automation.
Kemudian the second adalah agile
methodology teaching human center design
for public services shifting from rigid
5 years plan to iterative prototyping.
Nah, ini yang kedua metodologinya agile
ya yang kita improve. Kemudian the third
adalah network network leadership ya
managing platform government and coction
with citizens. Nah, itu saya
ilustrasikan di dalam gedung putih ya.
Saya mengimajinasikan saya sedang
mengajarkan network leadership di depan
Donald Trump, Putin, dan beberapa
pemimpin dunia ya, jin eh shipping dari
Cina dan lain-lain. Nah, ini ya guyonan
aja ya. Jangan dibuat serius ya karena
ini apa? creativity ya dari penulis ya
untuk membuat prom yang seperti ini
untuk apa supaya enggak apa enggak bosan
presentasinya.
Nah, policy recommendation digital ready
for administration education first
radical curriculum redesign from
bureaucratic to agile ya mandatory AI
and data sence integrated data analytic
for public for policy and AI in a
government as a core subject. Nah, kita
harus membawa ini menjadi core subject
daripada public administration specially
data analytic for policy. Nah, karena
saya mengajar juga public policy
analisis baik S2 di kedokteran untuk
para calon ee kepala rumah sakit gitu ya
dan juga di S2 kita gitu ya. Nah, ini
kita coba menggunakan data analytic for
policy untuk dan AI in education ya,
egile governance ya. shift teaching
model from traditional hierarchy
birocracy to agile methodology. Nah, ini
juga yang perlu di-improve. Kemudian
yang kedua, interdisciplinary synergy
dismantling academic silo. Yang kemung
nanti kalau misalkan di education di ee
pendidikan dia sudah silo, apalagi nanti
kalau dia sudah bekerja. Kemungkinan
juga akan silo ini budaya silo ini akan
dibawa ketika dia pindah ke kementerian
misalkan. So we need cross faculty
integration establish degree program
between faculty for example public
administration and computer science to
create digital technocrat ya governance
innovation lab kita juga punya
governance lab yang Prof mulu sebagai
head-nya dan mengembangkan eh yang
terutama adalah yang penting simulation
center where student work on
interdepartemental data sharing project
preparing them to brie
Prevalent inan ministries ya. Nah,
kemudian ketiga, priority prioritizing
eh digital ethic and data sovereignity.
Legal and ethical literacy ini penting
ya. Explicitly teach the implication of
personal data protection law ya.
Graduate must be the guardians of
citizen privacy not just user of
technology and algorithmic
accountability in corrupted model on
identifying and mitigating bias in
automated system to ensure digital
public service remain fair and
inclusive. Karena kalau tidak digital
public service itu bisa juga eksklusif
atau unfair kalau desainnya tidak kita
pelototi gitu ya. Makanya algorithmic eh
accountability-nya juga harus kita lihat
gitu ya. Nah, faculty upscaling and eh
faculty upskilling and practitioner
integration
digital residency for academic ya
implement mandatory training. Jadi
program memang training ini diperlukan
to improve a senior faculty member to
keep pace in the 2026 digital landscape.
Ya. and then clinical professor from
teach from tax sector recruit chief
technology officer and digital
transformation expert from the private
sector to serve as visiting lecturers
bridging the gap between theory and
industry realities. Nah, ini juga
kesempatan visiting profesor kalau bisa
kita ee ahli ee di bidang ee IT ya untuk
mungkin ke ee civitas akademi kita kita
untuk bisa diupskilling ya. Kemudian
project based learning and digital
ecosystem immersion GAFtech prototype ya
replace traditional tesis ya ataupun
dissertation with project based cupstone
where student develop digital solution
for real world issue such as blockchains
based land administration or AI driven
su social assistant distribution and
strategic internship. Jadi kita eh tesis
atau disertasi diarahkan juga kepada
kepada yang sifatnya digitalization and
strategic internship. Kita bermitra
dengan unicorn and digital first
government agency like Jabar Jabawa
Barat ya digital services or GFTCH
education to immer student in high
performance digital work cultures
and K take away ya the go the the goal
is to move by an electronic government
towards smart governance next generation
of civil servant view technology as a
fundamental strategicet rather than only
an optional tool So eh the summary ya eh
we know eh rapid acceleration of global
digital and we still have a gap ya and
eh we need a road map transition
Indonesia public administra education
from a procedural paper based focus to
an agile data driven and ethical
framework. So the final ya core
strategic pillar I recommend three thing
ya criculum modernization theile shift
ya the foundation of public
administration education must move
classical management action integrate
data analytic ai governance and cyber
security as nonnegotiable competency
goal to produce graduate who can lead
smart governance initiative rather than
managing a government tool
Second, interdisciplinary integration.
Digital governance is a
multidisciplinary challenge that cannot
be solved with a single faculty. Action
launch a joint degree program and
governance innovation laboratorium in
collaboration with information
technology department. goal to break
down the institutional silos by training
future birocrat to work across technical
and administrative boundaries and the
third ya ethical stewardship and data
privacy as digital service scale the
risk of the risk to citizen privacy
increases action formalize the study of
digital ethic and the personal data
protection law goal to ensure digital
transformation does not come at the cost
of public trust or human right bridge a
theory practice gap ya the ledging
nature of current education steam from
like exposure to modern work culture so
action implement project based learning
where student build functional gftech
prototype and in internship with high
growth firms and modern government
digital agency goal to foster a mindset
public administration education is not a
technical upgrade it is a culturally
necessity by adapting this
recommendation Indonesia can cultivate
new generation of digital fluent civil
servant capable of delivering high
quality transparent and agile public
services particularly in critical
national audit exting
m program doctoral program in public
administration curriculum and second
pilot the governance label in the top
tire national university and third
establish a certification standard for
digital policy professional nah in my
case I already develop eh individual
certification
eh to my student ya yang dapat pas
terutama theoretical understanding about
eh eh material yang saya ajar ya. Nah,
itu saya sudah menyusun ya eh
sertifikasi tapi ini yang di-publish
individually gitu ya. Dan semua
mahasiswa saya biasanya saya tes itu
kalau mau ee sukses ya dalam ee subjek
yang dia tempuh. Nah, ini dari saya.
Terima kasih. Thank you eh for all dan
saya return back to the moderator ya.
Terima kasih. Wasalamualaikum
warahmatullahi wabarakatuh.
Waalaikumsalam warahmatullahi
wabarakatuh. Terima kasih banyak Prof.
AndiA. Luar biasa ya. Thank you very
much Prof. Andta for that insight
presentation.
I'm particularly struck by your picture
AI picture where the advisory board of
IA
was that with
President Trump and Putin
that was wonderful idea.
Oke
luar biasa
luar biasa
dikunjungi Trump sama Donald Trump acara
Yapa.
Iapa memang hebat ya, Prof ya.
Ah, jadi ee kita juga harus hati-hati
terhadap apa foto-foto kita yang beredar
di luar juga karena AI ada dua mata
pisau. Bisa untuk ee positif ataupun
negatif. Jadi, core message atau pesan
utama yang kita dapat tadi adalah
pendidikan
adminasi
publik harus menjadi jembatan antara
publik dan teknologi. Jadi, masa depan
administrasi publik adalah tentang
bagaimana membangun negara sebagai
platform, government as a platform.
Baik, terima kasih banyak Prof. V sekali
lagi dan sekarang kita akan ee tiba di
sesi berikutnya di final speaker speaker
ketiga. Now we have our final speaker to
complete this academic journey. Before I
hand over the screen, allow me to read a
brief
biography of our distinguished guest,
Bapak Rino Ardian Nugroho, Estos MTI,
PhD. ini ahli masternya TI. Bapak, Ibu
semuanya, adik-adik mahasiswa. Jadi, Pak
Rino adalah rekan kita di IAPA juga baru
saja menyelenggarakan ee apa event di
UNS di Solo. Senang bertemu kembali Pak
Rino online. Jadi ee saya akan bacakan
ee
video singkat dari Pak Rino ya. Jadi eh
Bapak Rino Adrian Ardian Nugroho SOS MTI
PhD is a lecture in the public
administration study program at the
faculty of social and political science
Universitas 11 Maret UNS Indonesia Solo.
He
he holds a bachelor degree in public
administration and then a master of
information technology or MTI and a PhD
in electronic government. His expertise
lies at the intersection of public
administration and information systems
particularly in electronic government
and innovation adoption in the public
sector. In addition to his academic and
research activities reflected in various
scholarly publications and research
contributions, he currently served as FI
dein for student Affairs and alumni at
Visip UNS and as coordinator for of the
innovation and government research
group. Jadi juga adalah chairperson of
the IAPA regional board atau DPD for
Central Java. Jadi eh untuk
mempersingkat waktu, the screen is
yours, Pak. Silakan
ya. Terima kasih, Bu Diah. Eh, saya coba
share screen dulu ya.
Eh, apakah bisa dilihat?
Yes, sampun, Pak. Ya.
Em, pertama-tama asalamualaikum
warahmatullahi wabarakatuh. Selamat pagi
Bapak Ibu semua yang terhormat Pak
Muluk, Mas Oscar, Prof. Andta, dan Prof.
H yang pada hari ini sudah bersama-sama
menyampaikan materi dan saya jadi
bingung Prof. In mau menyampaikan apa
lagi karena semua sudah ya.
So in this occasion I will complete all
of the discussion that has been by
previous speakers
as well as Prof and I would like to add
some of the dimension
towards the the newest
to reimagining the curriculum for the
public administration educations toward
towards the digital era especially I
would like to emphasize on the what what
research have been conduct so far. So
currently I'm still doing on
understanding about the AI attitude in
terms of the public policy making. So
that might be something that I would
like to emphasize to eh I would like to
give an insight on how actually the
curriculum will need to be adjusted for
for
the AI era. So let me begin with the big
pictures. So public administration is
not experience is not experiencing the
incremental changes. It's undergoing a
structural transformation across four
waves. So there are four waves that we
would like to I would like to discuss in
my sessions. So the first one about the
digital transformation the second one
about the collaborative governance the
third about the government as a platform
as has been mentioned by professor
AndiFTA and lastly about the AI era. So
they are the fourth the four wave of the
public administration digital era that
we need to eh cop with and how does it
relates with what the traditional
bureaucracy that we have been taught so
far in the class that something that I
would like to explain in the in the last
section of my presentation.
So this is the one if we would like to
understand about in my way of thinking
we have come to the four way for digital
governance. So, so the first one will be
the digital transformation.
Usually the digital transformation talk
about
how to transform from the manual process
to the digital process. And the second
one is about the collaborative
governance.
The second wave is about the
collaborative governance.
So in the second wave in the
collaborative governance here government
is not only the central of all of the
processes using the intervention
technology but eh we also invite all of
the stakeholders to be collaborate in
some extent and the third one is
government as a platform so it
strengthen again in this area.
government platform mostly discuss about
how we put the government in the center
of all of the process during
some activities in activities that is
related to the public needs and the last
one if
the wave four is about the AI augmented
state. So this is the fourth wave of
state evolution in terms of the digital
era in my opinion. So in here digital
government sometimes is of misunderstood
as digitization but not. Jadi digital eh
digital government itu tidak tentang
hanya tentang digitalisasi tapi juga
tidak hanya tentang tchnikal tapi juga
tentang bagaimana meredesain organisasi
meredesain administrative. So not only
about the technical conversion but also
about the administrative redesign.
So the data driven decision making the
citizen centric service architecture
transparency
it's not only about the technology
let say about the big data professor
already told us about how the big data
will transform the public policy and so
and so for it's not only about the data
itself it's not about the infrastructure
of the data but then how the data is
restored and so on and so forth if we
talk about the SPBE or the pemerintah
digital government on the Indonesian
version of rankings of electronic
government
they always talk about the data but
before becoming the data there's a
process call the business process that
should be with some procedures.
So that's why eh if we talk about the
the eh the data it's not only the data
but also the process beside it the
social infrastructure
before the technical infrastructure.
Eh however
the current curriculum still prioritize
the organizational charts and legal
compliance structures of our digital
system. So not deeply understand about
how does the data should be stored let's
say and how the data should be used for
the public policy and so and so forth.
So that's why the gap between the
administrative reality and
administrative education is wiing so
far.
Now if we would like to emphasize here
so our education system mostly still use
the wave one logic that is the digital
transformation whereas the government
now already entering the wave. So kalau
kalau kita bertanya tentang beberapa
pemerintah daerah apa yang mereka
inginkan? Sebagian besar ingin smart
city dan bagian smart city apa yang
mereka inginkan? Biasanya mereka ingin
bicara AI. Padahal di kelas masih
diajarkan tentang digital transformasi
belum sampai ke AI-nya. Jadi dalam sisi
kurikulum masih ada lag di sana, masih
ada jarak yang cukup jauh gitu. So they
are still lacking on differentiating
between what the education system teach
and what the government needs
to be if we would like to look further
about the wave let's say about the
digital governance first usually they
talk about some characteristic the
characteristic can be about the data
driven
and about the citizen centric about the
transparency and about the optimized
process usually it talks about how the
decision by real time data how the data
was collected and then presented in in a
timely manner so that it fulfill all of
the five all of the five fees that has
been professor who mentioned before. how
the data is collected how data is stored
and how data is retrieved in in a timely
manner that it really needs by the
government to to be communicate with the
public.
Secondly about citizen centric that's
about the how services design around
people so how the services are design to
with what people needs and so for and
transparent meaning that government
tries to be transparent and then can be
seen by anyone and so for
eh last one is about optimized how the
government
structure to be streamline the process
to be narrow and then it usually it
become faster than before.
So that's why in this era government has
tried to become networks. So the state
is not a longer prior meet and it needs
a network orchestration behind it.
And the
main criteria of this wave is about
shifting from the paper based hierarchy
into the integrated digital ecosystem.
Students must understand system not just
rules. Why eh if we would like to
emphasize our students understanding
about the digital governance with one of
the eh
digital needs in public administrations
is trying to push the student to
understand the systems not just rules
how the system works and so on so
wave two talks about the collaborative
governance so this eh in this era the
states become become in a govern
government net governance networks
eh in this a wave the public value is
increasingly coproduce so not only by
the government but also the private
actors the civil society and the digital
communities government has government
governance has become network the state
is no longer a pyramid it is a node of
an ecosystem and then this requires new
competencies network or cross sector
negotiation stakeholder alignment and
government
under complexity
and here what can we learn from this
second wave is about that how we we
should put government as a governance as
a networks not only government itself
so the traditional public administration
here has trains about capabilities on
network orchestration how can di
eh discuss each other bagaimana kita
menjalin orkestrasi jaringan, bagaimana
kita melakukan cross sektor negosiasi,
bagaimana kita menyatukan stakeholder
gitu. Jadi ini menjadi salah satu PR
juga di era e digital ini bahwa
kolaboratif eh collaborative governance
atau kurikulum tentang eh public
administration harus didorong mengarah
ke bagaimana
coproduksi itu dilakukan antara public
dan private civil society dan digital
communities.
Wve the is about government as a
platform. As has been mentioned by Prof.
And previously, eh government now works
as a platform not only as a server but
as a platform. So meaning by by meaning
as a platform all of the stakeholders
can access the government.
So government only provide datas only
provide processes but not all of the
services. Some of the services can be
born to civil society or can be given to
the eh the private sectors but the data
should be kept by government.
So in this wave government as a platform
requires students to understand about
the how the infrastructure what are the
infrastructure need eh how
can here government act as the
infrastructure provider let's say about
sikd misalnya sistem kependudukan
digital itu adalah contoh government a
platform jadi pemerintah menyediakan
database-nya dan itu diakses semua orang
baik swasta, pemerintah dan sebagainya
untuk kemudian ee bisa menggunakan data
yang sama. Nah, dengan cara itu maka apa
yang disebut dengan keformment platform
sudah tercapai. Ee beberapa contoh lain
juga ada yang dilakukan di Indonesia,
tapi itu adalah contoh yang paling
mudah. Kemudian eh AP EPI regulator. Di
situ pemerintah berfungsi sebagai
meregulasi EPA apa saja yang bisa
dihubungkan dan apa saja yang bisa
diambil. Ee as well as become the data
orkestrator data menjadi satu. Itu yang
dilakukan Indonesia sekarang dengan
melakukan satu data Indonesia gitu ya.
Ee semua data dimasukkan ke satu data
Indonesia. Ee dan ekosistem enabler
bagaimana terhubung satu sama lain dari
atas ke bawah. yang dilakukan pemerintah
dengan ee SPBE atau sistem pemerintahan
berbasis elektronik yang didesain untuk
seimbang. Dan terakhir adalah
transgenter. Di sini pemerintah
berfungsi untuk meyakinkan misalnya
apakah korteks ini memang aman loh gitu.
Jadi mengingatkan pada ee semua pihak
bahwa ee korteks itu aman misalnya itu
adalah bentuk dari upaya pemerintah
sebagai platform untuk meyakinkan. So
that's why the wave 3 can be can be
concluded as government as a platform
where here government needs to be the
infrastructure provider regulator and
until the tas quarantor
here the education must therefore move
beyond teaching administrative
management it must teach governance
architecture design so in eh in a sense
that the curriculum for the public
administration should be a with this
kind of platform how the platform and
how students can move from the
traditional thinking of administrative
management into how think about platform
and what technical issues will follow
those platform and the last one if we
for the last wave of the digital a
public administration is the AI
augmented state.
So now we enter the AI era artificial
intelligence is no longer experimental
in government context.
It can do the policy drafting. It can do
the regulatory simulation. It can do the
predict the governance and also do the
citizen interaction through some of the
let's say eh automatic answering. Let's
say if you have a WhatsApp and then kita
pengin nanya dananya ke Telkomsel
otomatis itu AI sebetulnya. untuk
citizen interaction and also detection
so AI able to do to do such and such and
such eh me myself I'm trying to do the
policy drafting using the AI and it can
happens even they can do the regulatory
analysis using the AI as well it can
happens as well. So this transform the
state into an algorithmically augmented
system. So the government
not only about the data not only about
the documents by having the AI now
government should switch into the
algorithm how to switch into algorithm
so that's why here the state becomes an
algorithmic argument proton s so
education must integrate AI governance
capacity
eh are we educating public
administration can supervis Get and
govern AI systems or are we educating
administrator for a preaucracy?
So so far we still thinking about
preaucracy not the bureaucracy after AI.
This would be very different.
Misalnya kualitas pelayanan yang tadinya
dijawab secara manual sekarang sudah
menggunakan bot, sudah menggunakan
chatbot gitu. Jadi pelayanan bisa 24/7
gitu ya. 24 jam 7 hari tidak perlu lagi
ada jam tutup gitu.
Nah, ee kemudian itu yang perlu
dipikirkan bagaimana di era AI augmented
ini, di era AI ini kemudian kita
mengembangkan pendidikan yang ee
menempatkan AI sebagai tools, bukan
sebagai ee apa namanya? Bukan sebagai
rajanya. Jadi, AI di sini harus sebagai
tools untuk
eh from engineering. So, this is there
is about AI. Sometimes AI will have
something good and mostly bad but we
don't really understand that is bad. So
eh the key points on managing AI as our
tools is about how we prompt the AI.
Jadi bagaimana kita melakukan prompt
engineering dalam AI itu.
This is where prom engineering becomes
strategically important. Jadi even
sekarang ada mesin untuk
meng-engineering prom gitu ada juga.
Jadi ada eh supaya kita masuk ke AI
dengan perintah yang benar itu ada pro
mesine gitu loh sebelum masuk ke AI.
Jadi engineering is not merch scripting.
It's structured proy framing. It is
algorithm steering. It is cognitive
governance and a prom determines what
the AI analyze, how it interprets data,
what scenal it generates and so and so
forth.
The problem with AI adalah eh terkadang
ini hasil eh analisis sebelumnya bahwa
sometimes AI is a lazy machine. Jadi
kadang AI itu malas sehingga
dia ingin membuat kita berpikir seperti
apa yang dia pikirkan. Maka kalau
misalnya kita pakai generative AI, kita
pakai eh prompting, maka dia akan kasih
opsi 1 2 3 karena dia ingin membuat kita
mengikuti apa maunya dia.
Nah, oleh karena itu kita perlu
berhati-hati tentang hal itu dan perlu
berpikir critical thinking kita tetap
harus ada supaya eh prom engineering
yang kita kembangkan itu menjadi hal
baru menjadi ee tidak tergantung dari
kemampuan AI-nya. kitalah yang harus
mengendalikan AI, bukan AI yang
mengendalikan kita. So, that's eh the
prom engineering will be the key the key
changer for the future policy analysis.
So how we can we can put all of the
condition into the prom and how we put
all of the emotional
eh emotional condition of the people
where we do the policy analysis into
prom is something that would be the game
changer for the future.
So in a sense of that that's why we we
need to put the engineering skills into
the education into the curriculum of the
public administration. So in the future
eh our graduates can comply with all of
the necessary requirement all the needs
by the market
about the use of AI in doing the policy
analysis and all of the works related to
the government.
So now that's why here prompting becomes
the administrative literacy. How about
the do the policy framing? How to do the
algorithm steering? How to mitigating
the bias and also the accountability
interface that becoming
important in the future of public
administration curriculum.
And that's why I propose the five
pilots for the next generation public
administration education starting from
the digital governance literacy and then
the platform architectural design and
ecosystem orchestration here for the
platform. So how can we orchestrate all
the stakeholders with government using
the technology and also number four is
about AI governance and ethics. So not
only about how to do the prompting, how
to do the technical development of the
big data analysis but also how we can we
maintain the ethical eh concern about
the policy that has been generated by
the AI because sometimes AI will be very
mean and very cruel in terms of giving
eh very cruel and dry in terms of giving
the policy
formulation.
and also the engineering for policy. So
this five pillar competency model is
important in my opinion is important for
the next public administration
curriculum.
By having the digital governance
literacy
students can understand
what actually digital governance that is
not only digitalization but also talking
about the improving the processes inside
the government and second how the
platform architecture design so student
understand
how actually relating putting government
as the center all of the communication
between the stakeholders
and how students can orchestrate
between the stakeholders between the
ecosystem
and also learning about AI also
important so that's why they they need
to understand about the governance
ethics and using it and also how to do
the prom engineering so that the public
policy analysis can be done in a in fast
and as well as the good quality
eh without them probably eh the
administrative education remains
structurally outdated
so this is the curriculum design
blueprint
so that's why the curriculum conceptual
reform must translate into curriculum
reform at the foundational level here in
the foundational level eh need to
understand about the digital era
governance and then the platform state
theory about the government eh
government platform and the algorithmic
government philosophi not the
algorithmic technical algorithmic one
but only the philosophy one so this will
be the foundation of understanding the
eh public administration in the govern
and the digital governance era and then
we talk about the core talk about the
government as a platform and then talk
about the data in governance and talk
about the AI in public administration so
this three is the core eh in the middle
of the pyramid and the last one if we
talk about the master's degree eh upward
we talk about the prom engineering and
we talk about the algorithmic
accountability and we talk about the AI
policy simulation studio. It might be eh
curriculum redesign blueprint for the
AI era here learning becomes
experimental not theoretical so we put
emphasize more on the labs eh rather
than in classical class.
So that's why in in the next
slide I would like to propose the from
lecture hall to governance lab. So the
old model will be and the
pedagogi should be transformed from the
old model to the new model where the
static lectures policy essays and
historical case analysis should be
transformed to the AI simulated policy
labs governance and box and prom audit
workshops also live data dashboard so
that by having said that eh
students would understand clearly and eh
more reason about the implementation of
eh digital governance. So that's why
education must mirror the AI driven
state. So starting from now of course
it's not like flipping the coins but it
needs times to do so that all of the
requirements that there with the public
the digital era can be achieved by the
public administration.
That's why
if we still talking about the
traditional public administration mode
of teaching so why this is something
that we need to understand more the
traditional birocracy actually is not
really comply with the AI era gitu. Jadi
ee birokrasi tradisional enggak terlalu
cocok dengan EA era ini karena ada
beberapa hal. Yang pertama rigid
hierarchy and then slow decision cycles,
fragmented data systems. Tadi seperti
sampaikan Prof. Andi ada silo gitu ya,
banyak silo. Dan kemudian institutal
resistance toomation eh regulatory
reform alone can cannot solve this all
of this. Eh so education becomes the
foundational reform mechanism. Jadi ini
memang kondisi ee birokrasi sekarang
gitu yang masih hierarkinya ketat,
lambat dalam memutuskan sampai dengan
data yang terpisah-pisah dalam sao. Nah,
kalau ini diubah dengan pendidikan yang
tadi ada lima pengetahuan dasar tadi itu
akan mengubah cara berpikir birokrat ke
depan sehingga birokrasi ke depan akan
lebih kompuhan teknologi. Jadi akan
lebih kompl smart city dan segala
macamnya sehingga itu lebih eh sesuai
dengan apa yang diinginkan oleh eh pasar
yang ke depan sangat driven by AI. Eh
lastly so educating educating the
platform in the in the AI state. So we
need to do the digital the digital
transformation will change our system.
Jadi adanya perangkat-perangkat digital
itu mengubah sistem birokrasi secara
umumnya. Dan kemudian
the platform government digital asset
platform to mengubah structure changing
the structure. So where before
government is everything, now government
is the the central of of all of the
things. So not everything but the
central of all of the things. Kemudian
AI change cara berpikir kita. Jadi yang
tadinya kita mengandalkan pola berpikir
sendiri, sekarang kita bisa dibantu.
Bisa lebih cepat tapi terkadang juga
menghasilkan hasil yang tidak tepat.
So AI change the way we thinking not
only it can
sometimes it can it can make our
decision faster but sometimes the
decision is not as good as if we decide
ourself.
Education must change leadership. So by
having the education correctly in terms
of upcoming the digital era especially
in the AI era we can change we have to
change how the leaders in the future
face the reality of bureaucracy.
So the future of bureaucracy depends on
how we educate today. Thank you. I think
that's for my session. digital
transformation change system platform
government change structure artificial
intelligence change cognition now we as
educators we must change leadership so
the future ofy depends on our education
today thank you bu to
thank you pakin terima kasih banyak
bapakino atas paparan
komprehensif ya masternya
jadi thank you for very
and
particularly
regarding theal
of leadership and regional collaboration
digital transformation
so to the Q&A session and there are a
lot of questions already in the chat box
I'm so sorry because our time is very
very limited so I will read the question
in the chat box eh because they were you
know writing this since eh
you know sometimes ago. So I would like
to read
eh first of all give me second.
So first question
is
eh from
Risma Niswati Universitas Negeri
Makassar. So this is from Makassar.
Eh so the question is considering the
nation that notion that raw data is an
oximoron which implies that data are
never truly neutral or context free. How
can public administration education in
the digital era integrated ethical
reasoning into data governance? Special
specifically how can we ensure that
future government policy makers not only
develop technical data literacy but also
normative sensitivity in using data for
public policy? Eh, first question I will
address to eh Prof. Ho please eh all the
speakers make it short because we have
very a lot of questions so that
everybody can ask eh so the I will give
the question to FR Ho first please from
prof ho answer the question
so very quickly um thank you so much for
the question I think you point out a
very important person a lot of people
think data is objective and which is not
true. If you look at some of the social
media data especially they are very
biased and so I think first of all in
the public administration program we
should first of all let
war want the students to to be aware of
that that's number one basic requirement
and so I think we should we should do
that and then also tell them that there
are different perspective and different
ways to frame the data and also
different ways to collect the data that
will lead to different results so they
have that understanding I think that is
very important and then what I would do
And what we have done also in different
program is to introduce case studies.
Through case studies so talk about it
and see the biases and then think about
what it would do differently. Um I think
uh that is one way or one approach we
are doing. Thank you.
It's short quick and sh. So next eh Prof
Andi Fepta please ya. Baik eh Bu Dia.
Jadi saya langsung aja untuk data ini
memang mitos netralitas data ini
juga menjadi perbincangan ya di
administrasi publik. Jadi ee kita perlu
melihat ya dalam konteks data ini eh
in term of representation
who count in this data ya. Siapa yang
kita hitung dalam data dan siapa yang
tidak. one of my eh doctoral student eh
eh talking about eh eh UMKM ya, usaha
mikro ya.
Bahkan sebenarnya mikro itu katanya bisa
didown ee didegradasi lagi menjadi lebih
kecil lagi. Karena ada juga ee pedagang
yang bermain di ee dana sekitar R juta R
juta dan itu masuk mikro. Nah, padahal
mikro itu 2 miliar ke bawah. Nah, ini
sebenarnya dia kita harus lihat
bagaimana mengklasifikasikannya. siapa
yang dihitung dalam data tersebut. ee
bagaimana mengklasikannya
apa terjadi bias algoritme. Nah, jadi
data itu juga ee apa kita perlu perlu
lihat lagi lebih teliti ya karena eh
data sometimes eh also tidak tidak
netral juga gitu loh. Nah, oleh karena
itu kita harus melihat ee apakah data
ini muncul dari adanya ee komit apa
istilahnya agreement eh tentang data
yang dikumpulkan. Jadi publik harus tahu
ya ini accountability of data present by
government the data who we choose
involved in data and what classification
and then also eh apakah ini eh sudah
menjawab eh public eh will and public
need eh related to the data that we use
ya karena kalau tidak nanti AI dan
lain-lain hanya membaca apa adanya
terhadap data yang disajikan itu. belum
tentu itu menjawab konteks real yang
ada. Nah, kita juga harus hati-hati
dalam melihat eh data tersebut ya.
Terima kasih. I think we return back to
the moderator, Budia. Thank you.
Terima kasih, Prof. Fandi Fepta. Semoga
bisa menjawab curiosity dari Mbak Risma
ya. Berikutnya eh Pak Rino please Pak
Rino
ya. Thank you
so pertanyaan ini menarik ya. So that's
why um
in the presentation I I I show you
before eh the the person the people is
still the central of everything. So
let's say AI is only tools as well as
the big data is only tools. So
everything comes the skills of the human
beings.
How can we understand whether the data
is free value or not?
That's up to us. So technically it
should be like tidak cukup hanya satu
orang. So it's not only one person that
can judging about the data. So it might
be more than one person so that it can
be put into the right decision.
Again data itu harus dilihat dari semua
orang. Jadi yang paling penting dari
proses ini adalah seperti disampaikan
Prof. Andi transparasinya. So the
important things about transparency
about the data itself. how the data is
how the data is collected what questions
that lead to the data and how the data
is storing
the data or not it should be transparent
so by having that kind of transparency
we can measure the quality of the data
jadi kita bisa mengukur kualitasnya dari
situ.
Kita enggak bisa pastikan bahwa data itu
akan sangat sulit data itu bisa value
free gitu. So very difficult data is
very very free but we can ensure some
processes so that all of the people that
access the data can understand the
process how the data is taken so that we
can understand and we can measure
whether it can be trusted or not. Again
human is the key, not the machine.
Machine is only tools.
Itu dia dari saya.
Baik.
Ee terima kasih Pak Rino. Jadi
sebetulnya
kita masih
perlu sensitif normatif ya, bagaimana
kemampu nikah di balik-balik angka-angka
statistik. Jadi luar biasa
ee tepuk tangan buat eh narasumber kita
semuanya. Big applause for the speakers.
So next question eh this is from special
one from Prof. Wahyudi Kumorotomo from
eh Universitas of Gajah Mada. So eh
specifically eh question for propho. So
first question is given the fact that
actual data collection takes time. For
example our national sensus in conducted
every 10 years how should we reconcile
with the use of AI in most developed
countries? such as Western Europe, eh
North America, East Asia. Decision
makers remain cautious about AI but
among many Indonesian decision makers,
they tend to use AI without a reserve
norit with a serious consequence that
the decisions may not really base on
actual and correct data. What was what
has been the experience in Hong Kong and
China?
Do you want me to read the second or you
can answer question? Let's talk about
this question. This is a very complex
question.
And so again because of time I will keep
it short um because I think we should
have a separate seminar in the future
about AI. Okay. Um now this question has
several layers of issues. Number one is
that uh you ask about the the data. So,
so you have some survey data that will
be conduct every 10 years only but we
just talk about big data minute by
minute type of data social media data
etc and then you talk about AI right so
they are all kinds of issues I would
like to say that first of all the
traditional form of collecting
information is still very important okay
but I also want to tell you that what is
happening now in more advanced social
sciences now in political science in
marketing business marketing now there
are now model developed through AI and
LLM large rankage model that um they
actually use a profile of people let's
say 1000 people in Hong Kong okay they
actually track them very carefully day
by day minute by minute what they do etc
or what what kind of web they browse etc
they basically build AI agent of these
people and then they actually use uh
these agents AI models to predict what
they would buy what they would see how
to perceive events. And so what I'm
saying is that there are now new
technologies, new methods that you don't
need to do survey anymore. You don't
need to waste 10 years. You could
actually after you build a model you
actually predict whether that person
favorate
or they actually want to do something.
So what I'm saying is um there are now
new technologies that saw some of the
uses to talk about uh and they have
tracking that and the the predictive
accuracy are 80%. Okay. And so that's
one answer to your question. Number two,
uh about your AI uh skepticism. Um uh
indeed it's true. I think a lot of um uh
excitement indeed in our uh university
now we are also embracing AI in in one
aspect we are not teaching our students
that we need to learn how to do
prompting and integrate AI into all our
social science and even humanities um to
use AI to make movies right to present
information in a different way etc.
However, uh we are also very cautious
about the limitation of AI uh
hallucination and also the biases about
the underlying data and so I think we
are looking to it very cautiously and
also especially in education we also
look in the areas that we should not use
AI and so um so I will say that the
topic so big that I will I will say um
um uh we have to have a separate seminar
on this or separate conference on this
event But I would like to go back to
conclude with this. We are embracing AI
but embracing AI in a smart way ya.
Oke, thank you Prof. Ho. Jadi tetap ya
Prof. Ho itu tidak menyarankan
menggunakan AI secara sepenuhnya. Jadi
kita tetap harus bisa ee memilah-milah.
Terima kasih Prof. Wahyu untuk
pertanyaannya. kita akan ee menuju
pertanyaan berikutnya masih di chatb ya,
Pak Dr eh sabar. Nah, eh good afternoon
distinguished speakers all me introduce
myself. So this is my student Clara from
Master eh Public Administration Ngurahi
University.
Eh she would like to ask in the context
of reimagining public administration
education in the digital era, what would
an ideal curriculum design look like to
ensure that digital transformation goes
beyond merely adopting learning
technologies and in state fundamentally
receive students mindsets from an
administrative bureaucratic orientation
to one that is data driven collaborative
and adap to the complexity of public
policy. For the first question, I would
like to address to Prof. Andi
oke, thank you eh Bu moderator, Bu Dia.
Jadi if you look this question ya,
especially about eh jadi eh
transformation gitu ya. This is related
to the mindset ya. Jadi kerangka nilai
dan yang paling penting adalah kita
berpikir eh what is the benefit of eh eh
transformation ini. Jadi ee ketika k
kita lihat ya ee pendidikan
administratif publik itu ee di sini ee
ada pergeseran ya yang paling penting
kita bisa merasakan manfaatnya ada
pergeseran kurikulum change of eh the
core curriculum from procedure to
problem solving. So, we need to more
concentrate the problem solving thing
because dengan problem solving kita akan
fokus pada complexity of public policy.
Nah, kita akan membutuhkan di era
digital ini literasi data analytic atau
data driven yang lintas ya. Jadi, not
only eh sekedar eh statistik dasar gitu
ya, tapi bagaimana ability kita to
interpret ya big data in the wawasan
kebijakan ya. Jadi dalam konteks ini
mahasiswa belajar ya bagaimana
memecahkan masalah dengan big data
tersebut gitu loh. Tidak hanya ee kita
dalam konteks mere atau melaporkan dan
juga kita perlu melihat dari sistem
thinking ya mengajarkan bahwa kebijakan
publik itu tidak berdiri sendiri ya.
Jadi masih masalah di satu sektor
transportation for example ini related
to the other sector like environment or
economy. So this is interdisciplinary
approach ya. And eh ideally curriculum
is related eh eh dealing with eh
literasi digital eh eh literasi digital
dan eh data etik. Nah, ini yang juga
merupakan penting untuk memastikan
mahasiswa bahwa risiko privacy dan bias
algoritm itu ee tetap harus
dipertimbangkan ya. Sehingga kita harus
juga hati-hati dengan data ini ataupun
hal yang disampilkan. oleh big data.
Apakah itu cukup menjawab gitu loh?
Karena ee ee apa tuh ee
sense-nya itu yang yang punya kita gitu
loh. Belum tentu yang disampaikan big
data itu make a sense itulah. Nah, itu
kita harus juga menggunakan insting atau
sense kita untuk melihat itu dan ee
desainnya ya berpusat pada ee SDM ya,
human ya, yang mana ee mengubah pola
pikir jadi bagaimana dari melayani
aturan menjadi melayani warga. Jadi ini
dalam konteks governance tadi. Tadi kan
kita sudah move to governance level. How
to mengelola information ini untuk
melayani warga gitu loh. Bukan hanya
untuk mengestablish sistem saja. Dan
kolaboratif lintas sektor ini juga
penting ya. Jadi ee pendidikan itu tidak
hanya istilahnya eh pedagogi eh the
living lab ya, tidak hanya diadakan
secara ee seperti Pak Rino tadi katakan
hanya di kelas gitu loh, pasif. Tapi
kita mengubah metode pola pikir
pengajaran itu berubah dari ceramah
pasif tapi menjadi praktik nyata. We
doing the work ya. seperti yang sekarang
mahasiswa saya itu juga punya cash based
ya atau project base yang harus
dipecahkan melalui ee bantuan AI dan
lain-lain. Nah, ini kita tidak hanya eh
manually memberikan ceramah gitu loh.
Kita eh try to bring the real word ya to
give energy and motivation to them eh
untuk menjadi materi kuliah itu menjadi
menarik gitu loh. Terima kasih. Saya
pikir itu ya.
Oke terima kasih. Oke, ya. Terima kasih
Prof. Andi. Kita lanjut ya ke pertanyaan
berikutnya. Semoga Galuh apa
curiosity-nya terjawab. Eh, jadi saya
akan address to Bapak Rino supaya semua
kebagian.
Jadi, karena yang pertanyaan berikutnya
adalah ditujukan kepada Prof. lagi. Jadi
ini dari Imana Sendrato eh student at
Universitas HKBP Nensen.
Jadi Imana menanyakan ada dua
pertanyaan. Sejauh mana pemantauan
proaktif terhadap media sosial oleh
pemerintah dapat memperkuat tata kelola
demokratis dan bagaimana institusi
publik dapat menyeimbangkan pengambilan
keputusan berbasis data dengan
perlindungan hak privasi warga ee negara
dan sejauh mana negara ee digital dapat
memperkuat akuntabilitas demokrasi dan
bagaimana kerangka kerja tata kelola
digital dapat memastikan perlindungan
privasi serta keamanan data warga
sekaligus mencegah pengawasan berlebihan
dan sentralisasi
kekuasaan. Silakan Pak Rino dijawab.
Baik, terima kasih Bu Dia. Saya mungkin
akan langsung dalam satu ini ya, satu
jawaban yang sama gitu. Karena eh the
tendency of this questions is similar.
So asking about how the democracy eh be
threaten by all of the engines.
So again eh
I cannot guarantee the answer. I'm sorry
because in a sense that all the data is
collected by the government and all of
our activities are collected by the
government or by anyone else. Even I
don't really understand
does our Zoom here be analyzed by Zoom
and analyzed by Google and analy by
another AI and then go to our profiling
or not.
So
how we can ensure the democracy of
course first and foremost we need to
back to the manual processes again if we
talk about the process for digital er it
is not stand alone processes so the
digital processes comes from the manual
processes so the manual processes should
be
eh
should be
carefully
taken
so that it not ruin the democracy
itself. Jadi the manual prosesnya harus
dijaga sehingga nanti tidak terjadi pada
digital proses itu. Karena begitu data
ini sudah terkumpul, anything can
happen. If the data has been collected,
anything can happen, including bridging
the democratic culture.
Jadi termasuk eh misalnya ya eh if we
talk about the let's say about the
controlling the social media
of the countries
cannot do that but some countries do
that including Indonesia some other
countries does not do that they say does
not do that but they actually do that.
Jadi beberapa negara memang menerapkan
sosial media itu untuk memfilter
termasuk Indonesia ya apa saja tren pada
pemerintah.
Ee beberapa negara mengaku tidak
memfilter tapi sebetulnya memfilter.
Hanya mereka menggunakan cara lain untuk
mengatasinya.
Jadi ee supaya tidak supaya dianggap
tidak mengancam demokrasi, mereka
memfilter tapi kemudian membuat buzer
untuk tidak mengancam demokrasi itu. So
this making the democratic spare in the
digital space still blury and some
point.
That's why I I said before if we talk
about the digital
how how we reserve the digital democracy
it backs to the how the manual systems
develop bagaimana sistem manualnya
dibangun bagaimana demokrasi dibangun
secara manual karena begitu kita masuk
ke digital
the data is there government can see
anything
if even we login government can see
anything so I think that's the point I
cannot guarantee if the data has been
handed over to government or handed over
someone else the democracy is still
there also as you mention before even
now the cortex problem he
right
everything almost everything
and everything or our data already in
there in the AI big data whatever we are
the control of everything thank you
pakin
oke we will move to the Next question.
So this is address to eh Prof. Eh Ho. So
this is from Pak Mas Winoto from
Brawijaya, our college also. Apa kabar?
Eh Mas Winoto? So we met in Bali and
Korea also. Eh so he
Oh ada
eh maaf Prof. Prof.
So, I'm focusing on research on digital
governance and government performance
management which is highly relevant to
the model presented by Albert in
engagement in our data reach world. The
model not only illustrates the diversity
of data sources but more importantly
shows how data is proceed eh shared
across unit analy visual and then
incorporated into the decision making
cycle ultimately generating
socioeconomic and impacts. In this
regards I would like to ask within the
framework of digital governance how can
prof host propose data driven engagement
model be operationalized to strengthen
government performance management system
so that data integration not only
produce dashboards and kpi but also
actually impacts strategic planning
budget allocation and accountability for
public outcomes in a miserable
manner please propri
so thank you so much for your question I
know that there are also some questions
maybe for me about later about Beijing
Shanghai the governance model just now
uh we also have some uh comments about
democracy. I may as well just put it all
together. Okay. And then adjust in one
good swap and so that you uh you think
about right now first of all I think
indeed uh all these digital tools are
tools right but there are a lot of data
governance issue and there are also a
lot of question about democratic
governance with the data digital tools.
Right. So uh let me actually uh share my
thinking. I'm not saying that this is
this is just a very preliminary
thinking. Number one, I think we need to
go back to our original uh understanding
of democracy. Okay. Now a lot of people
assume democracy for a long time. Uh
democracy equals
uh western style of parliamentary
electoral form of governance. Okay. Now,
I'm not going to comment on that because
you could look at the news and see
whether that is working well or not,
right? You could decide right but I
would like to go back actually to
another notion of democracy which
actually was advocated by the American
uh police and the also practitioner and
the president uh Lincoln said democracy
is government for the people, by the
people and of the people. So let's use
this as a criteria with digital tools.
Could the digital tools help us to make
the government serving the public better
government for the people. Okay, with
that since you have a question also
about performance and gunability right
if that is the one of the criteria of
democracy then we could actually have
some benchmark about output's
performance is that government with the
digital tools help with AI etc. Are they
doing more work, better work, more
efficient work, more cost effective work
and more transparency etc. More
accountable work for the people. That's
number one. Right? Then you also go back
to the second definition government buy
the people. Now again buy the people
could mean different ways of
participation in participant theories
there are hierarchies or layers of
participation. Right? So again if you
have all the apps, all the social media,
all this way for the people to voice
their opinion not just every four years
but you actually every 24 hours 7 days
you could voice your opinion share your
perspective all this so then you could
actually another way about government by
the people right so you could think
about that right digital tools could be
very helpful to fulfill that and of
course you have the government of the
people so we talk about digital gaps who
are included who excluded a more
inclusive smart city is government of
the people again you could look into
that and and think about whether
digitals are helping more right then
with all this I think we could kind of
rethink what it means uh uh when we talk
about democratic governance now behind
of course we also have another notion
about accountability and check and
balance this is where different system
may have different ways to make sure
checking I think early comments is also
very legit we also need to think about a
larger picture who owns the data and who
have the data government have some data
for sure right we talk about all this
know CCTV and but a lot of data actually
now not controlled by the government
it's actually controlled by some of the
large companies and to work then you
have any accability or transference
about that right and ha you even use the
data for public policy purposes so
that's another layer of democratic or
even global governance issues about data
sovereignty and security issues So we
could talk about that and see whether
there's any challenges or if there are
opportunities also for cross sectoral
even global collaboration about data
governance to enhance democracy. Yeah.
To some extent also protect security
right largely I lastly I would like to
add that um uh given all the all the
issues one thing I think is really
helpful is actually having more
transparency. If you say the government
is you know collecting all the data etc
could we actually make some of data
available now of course then you have
security and privacy concerns and there
are ways to do it. So could you make the
data anonymous? Could you actually know
screen the data? Could you actually
aggregate aggregate the data so that is
only in the district level neighbor
level so that it won't reflect any
individual data etc. So if you could
make the data more transparent uh by the
public sectors but maybe also to
something by some of the large companies
could they actually surrender some of
the data so that public agencies like
transportation department or public
health department could use some of the
data now collected by whatever big
companies in the world could we get that
data out to have a partnership with them
so that we can use the data to enhance
uh democratic governance also to enhance
even public policy effectiveness now we
are not doing yet and so I think those
are some issues we could we could think
about but I think more transparency I
think will help thank you
ok
thank you prof h I got a message from
Prof eh Wahyu so the second questions is
not answer yet can you explain about the
you know as you mention how we can rely
really reconcile
servic
we kind i address that
basic human rights right we talk about
for example protecting the the right for
people to voice the opinion etc right so
there's always a balance between uh
whether you could say anything without
any limit. I think the notion you could
say anything or put anything post
anything without limit that notion is
gone. Not even in the western call
democratic countries right I remember.
Okay. Okay. Prof. story to interrupt. So
this is actually about how you solve the
problems of privacy, the rights to
disconnect or essentially the issue of
eh panoptican society.
That's
the question he want to
so how do you disassociate with the
tools with the digital world right
is that kind of like okay now I am a
little bit um I'm a little bit
pessimistic on that. I think the notion
about privacy in the old traditional
work is gone. If you walk in the street,
even if you don't go out in the street
and lock yourself in the room, if you
use mobile phone, okay, uh you have no
privacy. In reality, you have no
privacy. All your data have been
collected through your phone in the
street there are all kinds of camera in
in the shopping mall not necessary by
the government in shopping malls going
to elevator whatever they are CCTV
everywhere and so uh and facial
recognition technologies are not used by
uh just government but actually used by
companies and so so if you argue that we
could totally detach yourself maybe you
live in an island without any
technologies but in reality in the 21st
century I think uh the old notion of
privacy I think is unrealistic however
what we want is actually have more clear
and effective legislation to protect the
data also have clear governance to make
sure who could own what data and how the
data should be used and also their
mechanism to make sure that if they
misuse the data they are mechanism to
punish them or to limit them more check
and balance more transparency about all
I think that is where we are going for.
So that's my my own understanding or my
own notion but I I could be wrong. I
could I I will be happy to look listen
different views on this.
Oke. Eh thank you Prof. Host. Semoga
bisa menjawab eh pertanyaan dari
curiosity dari Prof. Wahyu mengenai
masyarakat Penopticon. Jadi masyarakat
yang merasa selalu ee diawasi. Nah, itu
sekarang kita juga bisa apa kontrolnya.
Kalau sudah tidak mau diawasi kita
diflight mode kan saja. Jadi karena
semua sudah bisa terdetect, jadi kita
ngobrol kita ee jika kita sadari saat
kita ngobrol dengan teman-teman pada
saat HP ada di sebelah kita, tiba-tiba
di sosial media semua tampil apa yang
kita ee omongkan. Jadi itu juga salah
satu dari ee apa ya ee dari ee
Penopticon Societ eh tersebut. Baik
untuk ee selanjutnya saya akan berikan
kesempatan kepada ini Pak Dr. Andi
Alfatih ya karena dari tadi sudah angkat
tangan berkali-kali. Please ee Pak Andi.
Baik. Baik. Terima kasih eh Ibu Utari ya
eh atas kesempatannya di Itari. Alright.
E talking about reimaging public
administration education
it means we are going to develop or
advance the education of public
administration.
For this it is better to make public
administration as a profession.
It means after students of public
administration
have finished their study for sarjana or
undergraduate
or S1, they get degree like sarjana ilmu
politik or sarjana administrasi publik.
then they can take further study for one
or two years to
as the consultant for in public
administration so for this we make the
professional study level like sarjana
ekonomi you know after they have get the
degree they study one or two years to be
eh akuntan
or sarjana kedoktoran ya eh to be a
doctor they have to study again for two
years sarjana hukum to be notorist they
have to take further study as well and
then like that also for sarjana perawat
to be nurse. Nah so so sarjana
administrasi have to take further study
profession to be consulted. That's my
idea. Eh I propose to this forum. Thank
you.
Terima kasih, Pak Dr. Andi Alfatih.
Jadi, kita eh apa jika saya simpulkan eh
we need to do this profession. Jadi
profesi seperti insinyur, perawat atau
dokter untuk publik administrasi.
Right.
Jadi terima kasih banyak atas sarannya.
Semoga didengarkan oleh Prof. Eh, I hope
will respond to this.
Oke, mungkin eh Prof. mulu ya yang akan
respons
atau Prof. Andi Vepta silakan.
Baik. Eh baik Bu Dia terima kasih untuk
in this case ya ada e istilahnya pro dan
cons ya. Kalau kita membuat ee
pendidikan formal kita seperti dokter,
pengacara akuntan itu proya alasan
proya, pro argumennya itu eh standar
kompetensi menjadi jelas ya, clear ya.
Kompetensi standarnya clear.
Ee kode etiknya juga mengikat seperti
profesi kedokteran dan lain-lain gitu
ya. Hukum apa itu kan punya kode etik
yang sangat kuat gitu kan. Kemudian eh
otonomi eh dari intervensi politik ya.
Jadi profesionalisme memberikan kekuatan
ya support for birokrat to be autonomy
dari intervention politic political
intervention. Nah, namun juga argumen
yang tidak selalu baik untuk hal ini.
Jadi yang kontra ya terhadap ee posisi
yang seperti ini. Misalkan kalau kita
menjadikan seperti itu bisa jadi profesi
administrasi pabrik ee nanti bersifat
elitis gitu ya. Profesionalisme bisa
membuat birokrat merasa lebih tahu dari
warga. They eh they feel more eh know
thaning
citizen. Nah, ini bisa menjauhkan eh
pemerintah dari aspirasi rakyat kalau
terlalu fokus pada eh prosedur teknis.
Kemudian juga fleksibility gitu ya. Ini
juga kurang. Administrasi publik
membutuhkan berbagai latar belakang ya.
Jadi interdisipliner jika dibatasi hanya
memiliki gelar profesi tertentu ini
pemerintah akan kehilangan talenta
beragam. Misalkan profesi dokter itu kan
harus dari dokter S1-nya. profesi hukum
misalkan S1-nya hukum misalkan apa
misalkan insinyur apa. Nah, padahal
administrasi publik itu kan yang masuk
ee ee public policy itu bisa dari
kedokteran, dari apa ee insinyur dan
lain-lain gitu loh. Nah, ini akan
kekurangan fleksibilitas kalau kita
profesikan gitu loh. Nah, kemudian
kekakuan birokrasi juga standar
profesional yang terlalu ketat terkadang
menghambat inovasi dan kreativitas
karena dia terlalu e stik. ee pada ee
standar profesional. Nah, ini plus dan
minusnya ya mohon dilihat juga gitu loh
sehingga ketika kita itu menjadikan
profesi ada konsekuensinya juga. Terima
kasih eh return back to the eh
moderator. Thank you.
Baik, terima kasih
untuk semuanya juga maafkan karena
waktunya sudah ee habis. Jadi kita
sekarang akan sampai kepada eh penutup
acara. So ladies and we have finally
reach the conclusion of today's webinar.
So let me conclude from all of the eh
speakers and the questions and I'm very
sorry for the questions that but it's
already conclude by Prof. H for some
questions. So I would like to that the
digital transformation transformation
the digital transformation so this is
the s to digital era governance demands
proactive data driven leadership yet it
must prioritize the validation of raw
data over blind
reliance on AI to prevent flood decision
making. And then how about privacy vs
security digital tools like mass
surveillance must be balanced with the
protection of basic human rights and
privacy to avoid a panoptican society.
And then about the curriculum redesign
public administration education must
have beyond bureaucratic rules toward
mastering digital architecture and
performance management that directly
impacts budgeting and public outcomes.
And then the last one is about human
agency. AI lacks inherent context and
ethics. Therefore, the curriculum must
treat AI as a supporting tool while
maintaining critical thinking and moral
reasoning as the primary drivers of
public policy.
Eh, jadi teknologi itu bisa memberikan
kecepatan, namun nalar kritis manusialah
yang memberikan
Dewi acting as moderator and
representing the Ayapa executive board
and I would like to express my de
gratitude to our three distinguished
speakers, the board of experts and all
participants for vibrant engagement. May
the ideas generated today serve as a
blue for the better governance in the
future and I do apologize for any
shortcomings during the sessions. Thank
you for your presence and I look forward
to seeing you at our next Yapa event.
have a wonderful afternoon dan selamat
menjalankan ibadah puasa bagi
teman-teman kita semua hadirin yang ee
melakukan ibadah puasa. Jadi ee terima
kasih banyak juga Prof. ee Khairul Muluk
dan Prof. Oscar serta e seluruh ee staf
IAPA yang bertugas pada hari ini. Dan
ee pada sesi berikutnya kita akan
memberikan sertifikat kepada seluruh ee
speakers. Silakan ee Mbak Safira.
eh belum keluar. Oke, sudah. So, the
certificate of appreciation will given
to Prof. Alfred Tatko, MPD, MPA, PhD. As
a ke cannot speaker, thank you very much
for your presence today, Prof. Ho. I
hope we will meet again in the near
future maybe in Bali or Hong Kong. And
then the next
eh oke so the next is for Prof. Dr.
Randus MD Fepta Wijaya, MDA, PhD. Terima
kasih banyak Prof. sudah berkenan untuk
memberikan sharing dan insight pada hari
ini. Sepertinya mahasiswanya sudah
banyak join dan mereka apa sangat ee
senang sekali Prof. Andi bisa sharing
pada session ini. Sampai berjumpa lagi
di session berikutnya, Prof. Baik, yang
berikutnya silakan
eh kepada Bapak Rino Adrian Ardi
Nugroho, Sos, MTI, PhD. Terima kasih
banyak, Pak Rino. Semoga kita bertemu
lagi di Solo maupun di Bali.
Jangan lupa kalau ke Bali kabar-kabari
saya nggih, Pak Rino ya.
Salam buat Pak Dekan ya.
I
terima kasih banyak. Oke. Ee apakah ada
lagi Safira? Kalau gak kita ee apa? Foto
bersama
moderator Ibu.
Oke, itu untuk diri saya sendiri ya.
Terima kasih kepada diri saya sendiri
pada hari ini sudah ee semua sudah
berjalan dengan lancar. Terima kasih
juga kepada Tuhan yang Maha Esa bahwa
kita diberikan kesehatan dan bisa hadir
di acara Zoom Meeting pada hari ini.
Baik, kita sekarang seksi sesi terakhir
adalah foto bersama. Silakan eh untuk
buka kamera semuanya. Before we leave
the room, let us take a virtuual group
foto please on your cameras.
Baik, mohon izin Bapak Ibu semuanya.
Saya izin untuk memandu untuk sesi foto
bersama karena cukup banyak slide yang
ada jadi bisa langsung ee bersiap gitu
ya untuk senyum terbaiknya pada hari
ini. Baik untuk slide pertama saya
mulai. 1 2 3.
Baik untuk selanjutnya 1 2 3.
Slide selanjutnya 1 2 3.
Baik untuk karena slide yang selanjutnya
sudah tidak ada yang on kamera sudah
saya kembalikan ke Budia saja.
Baik terima kasih Mbak Safira. Mbak
Safira ini di belakang layar ya bekerja
luar biasa dan seluruh tim IAPA. Jadi
kita tutup sesian hari ini dengan ee
ucapan asalamualaikum warahmatullahi
wabarakatuh.
Om santi shanam
salam sejahtera, namo budaya dan salam
sehat untuk kita semua.
Sampai jumpa Bapak Ibu.
Thank you for all.
Thank you semuanya.
Terima kasih. Terima kasih
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