This document discusses using big data analytics for the Indonesian Parliament. It begins by covering big open data regulations and analytic technologies like descriptive, diagnostic, predictive, and prescriptive analytics. Current technologies discussed include regression, social network analysis, and deep learning. Potential use cases for Parliament are then presented, including analyzing co-sponsorship networks of bills, measuring public opinion on social media, and using mobile phone data to analyze wealth and poverty impact of policies. The document concludes by recommending starting small with a pilot problem/use case and scaling solutions over multiple years.

1. A Bird View of Big Data Analytic for Indonesian Parliament
widyawan@ugm.ac.id

2. • Dosen dept t. elektro dan tek. informasi ugm
• Direktur DSSDI ugm
• Komisaris pt gamatechno indonesia
• co-founder datains.id
• anggota Forum Masyarakat Statistik
• S1 teknik elektro ugm
• S2 erasmus univ netherland
• S3 electronic, cork institute of tech, ireland
• https://acadstaff.ugm.ac.id/widyawan

3. Agenda
• Big Open Data and regulation
• Analytic technology
• Big Data for Parliament: Use Cases

4. Background
• Promoting government and parliament transparency and
accountability
• Improving public participant and service
• Evidence-based decision making

5. Data
Information
Presentation
Knowledge

8. Big Data source
Data Source Availability Veracity
Sensor Closed Medium - High
Administrative Database Closed Medium - High
App Database Closed Medium - High
Social Media Open Low - Medium
Online news Open Medium
• Sensor: GPS, Cellular Network, CCTV, WiFi, IoT
• Admin/Transactional Database: Gov. Enterprise System, Marketplace, etc
• App Database: BPJS, Smart City app, etc
• Social Media: Twitter, Facebook, IG, etc
• Online news: detik.com, kompas.com, cnn.com, etc

9. Segregated in Data Silos

10. Why Data Silos
• Structural
• Government and organization increasingly divided into units and teams
• Often left to implement their own process and software
• Creates data separation
• Ex.: BPS, Dukcapil, MPD, etc.
• Social
• No incentives for sharing data
• People do not share data to assert control and power
• Technological
• Legacy system
• Vendor lock-in

11. Solution
• Stop silos mentality
• Data ‘omnibus law’ for clearer and encompassing regulation in data
transparency
• Encourage open data

12. Regulation
Regulasi tentang
transparansi data
● PP 80/2019 Perdagangan
Melalui Sistem Elektronik →
integrasi data e-commerce
● Perpres Satu Data 39/2019
untuk pemerintahan →
integrasi data pemerintahan
● Integrasi data operator
telekomunikasi belum diatur
2
Regulasi dasar
● UU 11/2008 ITE
● PP 71/2019
Penyelenggaraan Sistem
danTransaksi Elektronik
● Permen 20/2016
Perlindungan Data Pribadi
dalam Sistem Elektronik
1
Regulasi pemanfaatan
analytic
Pemanfaatan insight analytic untuk
policy making belum diatur
4
Tata Kelola dan Model Bisnis
Model bisnis pemanfaatan data dan
insight untuk kepentingan
pemerintah dan swasta belum
diatur
3

13. • Big Open Data and regulation
• Analytic technology
• Big Data for Parliament: Use Cases

14. current analytic technology
data decision action
descriptive
what happened?
diagnostic
why did it happen?
predictive
What will happen?
prescriptive
what should I do?
machine human human still doing
most of the process
Analyze
• Descriptive
• Predictive
• Prescriptive

15. descriptive analytics is still the most successful
http://meetings2.informs.org/analytics2013/execforum.html

16. Some well-known analytical method
• Regression
• Social Network Analysis
• Rule-Based
• Bayesian Probabilistic
• Neural Network
• Deep Learning

17. • Big Open Data and regulation
• Analytic technology
• Big Data for Parliament: Use Case

18. Ties of Bill Sponsors
https://f.briatte.org/
This graph shows Austrian Members of Parliament (MPs) during years
2013—. A link between two MPs indicates that they cosponsored at
least one bill together.

19. Co-occurrence network
• Node represent keyword
• Links are documents that
contain both keywords
• Can be reversed
• Node is a document
• Links are keyword that
contain in both document
• Can be used to describe
relation between bills or
any legislative
documents

20. GunRomli
RajaPurwa
pro-pentahana
pro-oposan
Statistik dari tweet
waktu: 1-6 Oktober 2018
pro-pentahana
keyword: #koalisiprabohong, #koalisiplastik
hit: 71.346 tweet
pro-oposan
Keyword: #bapakhoaxnasional
hit: 107.414 tweet
Measuring public
opinion

21. Keyword: Cipta Kerja
last 7 days https://app.semantic.id

22. https://www.nature.com/articles/d41586-020-01747-1
Mobile Phone
Mobility: Measuring
Wealth and Poverty

23. Mobile Phone Mobility: PSBB in Jakarta
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50000
100000
150000
200000
250000
300000
350000
400000
450000
0
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2020-03-10 2020-03-15 2020-03-20 2020-03-25 2020-03-30 2020-04-04
total_trans avg_dist Linear (total_trans)
16-22 March 2020 : schools are closed, and stay@home is campaigned

24. Food https://hargapangan.id/

25. How to Start Big Data for Parliament
• Make big data blueprint
• Many possibilities, priorities
• Multiyear, but a living document
• Start Small, Scale Fast
Problem/Case
study
Data Tools Analytic Story Telling

26. Take out
• To win the game we need the data
• Need encompassing regulation for data transparency and open data
• Some use case of big data
• How to start big data for parliament

27. Terimakasih untuk mendengarkan