current status of AI research in Indonesia, the need of data and spec

1. From Data to AI, from Laboratory to Industry
a lesson learned from an Indonesian University
widyawan@ugm.ac.id

2. • Director of IT of UGM, Yogyakarta
• Assistant professor in Information
Technology
• Member of Forum Masyarakat Statistik
Bapennas
• Co-founder of Datains, a Big Data Analytic
company

3. • UGM is situated in Yogyakarta, Java island
• a state owned university, established in 1949
• 20 schools, +250 study program
• offer vocational, undergrad and postgrad
• + 55.000 students, +2500 faculty member

4. “In God we trust, all others must bring data.”
W. Edwards Deming

5. Agenda
• Data and AI
• University Research in AI
• Use Case
• from Research to Startup

8. RI 4.0: AI + Big Data + IoT

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, MDP, Data Kesehatan
• Social
• No incentives for sharing data
• People do not share data to assert control and power
• Technological
• Legacy system
• Vendor lock-in

11. How
• Stop silos mentality
• Clear regulation in data transparency
• Encourage open data

12. https://data.go.id/

13. https://silastik.bps.go.id

14. Pustaka Data @UGM

15. https://www.kaggle.com/datasetsUCI Machine Learning

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

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

18. • Data and AI
• University Research in AI
• Use Case
• from Research to Startup

19. Publication in AI
• Keyword: artificial intelligence, machine learning, deep learning, neural
network
• 3557 paper out of 897,406 papers (1951-2020)
No Country No of Papers
1 USA 193613
2 China 188337
3 UK 57827
39 Thailand 3715
40 Norway 3621
41 Indonesia 3557
42 New Zeeland 3461
43 Pakistan 3398
44 South Africa 3215
No University No of Papers
1 UI 409
2 ITB 406
3 UGM 221

20. Publication in AI: Indonesia

21. Topics

22. Back propagation
Forecasting
Deep Learning
Artificial Intelligence
Neural NetworkBack propagation neural network
Feature extraction
Classification
SVM
Data Mining
Decision Making
DSS
Optimization
Topic Cooccurrence

23. Affiliation
Indonesia
Australia
Japan
Malaysia
ITB
Telkom University
UI
ITS
Undip
UGM
• Some foreign partners
• Cooperation among Indonesian universities still low

24. Funding
• Government has spend money
• Many international support
• Funding from commercial entity is limited or non-existent

25. • Data and AI
• University Research in AI
• Use Case
• from Research to Startup

26. Deep Learning with
Edge Computing
• Convolutional Neural Network
• CPU based – Open Vino
• Vehicle detection, counting
• Road-scene segmentation
Credit to:
Computer
Vision

27. Edge Computing: Road-Scene Segmentation
• NVIDIA Jetson TK1
• CNN
Credit to:

28. Segmentation and Classification of
Cervical Cells using Deep Learning
IEEE Access, Nia K., Khalid H., Lukito, Widyawan, Lutfan .L, Anton, S. Tedy M.

29. Multi Morbidity from BPJS DataNatural Language
Processing

30. Sentiment, Radicalism and Hoax Analysis
• Lexicon, Log
regression
• SVM, Random
Forest, Naive
Bayes
• LSTM
• CNN

31. • Data and AI
• University Research in AI
• Use Case
• from Research to Startup

32. Technology Readiness Level (TRL)
research at universities product sold by companies
TRL
Resources
innovation commercialization
AI Startup
investor
government
existing research
resources
industry

33. AI Startup

34. Take Out
• Encourage open data for better AI innovation
• Indonesia is still in the middle of the table of AI publication league
• To be innovative, Indonesian company need support AI research more
• AI use case: edge computing, computer vision, NLP
• AI startup should be encouraged and supported

35. Thanks for listening