This document discusses applications of artificial intelligence in the power plant industry. It begins with an introduction to Industry 4.0 and the need for more optimal and efficient operations. It then defines artificial intelligence and discusses some common AI applications such as machine vision, speech understanding, and robotics. Specific AI applications for the power plant industry are presented, including predictive maintenance and automation. The document outlines three research projects between PT Indonesia Power and Universitas Trisakti on applying AI for inventory management, troubleshooting using machine learning, and developing a knowledge repository for power plant instruments. It closes by emphasizing the importance of collaboration between industry and academia to enhance competence.

1. ARTIFICIAL INTELLIGENCE APPLICATIONS
IN POWER PLANT INDUSTRY
Dr. Ahmad Zuhdi, M.Kom
Jurusan Teknik Informatika
Fakultas Teknologi Industri –
Universitas Trisakti
OnlineSharing Session in Department of Research, Innovation and Engineering PT Indonesia Power,
Tuesday, May 12th 2020

2. OUTLINE
1. Introduction
2. Industry 4.0
3. What is AI?
4. Some AI Applications in Power
Plant Industry
5. Our Projects
6. Closing Remarks

3. 1. INTRODUCTION
 Industry di Era Milenium 21
menuntut operasional
yang semakin optimal,
melalui peningkatan
kinerja yang lebih
produktif, efisien, dan
transparan
 Proses-proses dalam
Sistem semakin terpadu
dan ditingkatkan
intelijensianya, untuk
memaksimalkan
valuenya

4. KEY FINDINGS
SURVEY (PWC,
2014)

5. 2. INDUSTRY 4.0

6. I-4.0 SUCCESS
STORIES

7. SMART
INDUSTRY
https://smartfactory.de/
en/demonstrator-2020/

9. 3. WHAT IS AI?
John McCarthy, the father of AI: it is
“The science and engineering of
making intelligent machines,
especially intelligent computer
programs”.
AI is a way of making a computer, a
computer-controlled robot, or a
software think intelligently, in the
similar manner the intelligent
humans think.

10. WHAT IS AI?
AI is accomplished by studying how human brain thinks
and how humans learn, decide, and work while trying
to solve a problem, and then using the outcomes of
this study as a basis of developing intelligent software
and systems
From a business perspective AI is a set of very powerful
tools, and methodologies for using those tools to solve
business problems.

11. SOME APPLICATIONS OF AI (1/3)
AI has applications in all fields of human study, such as
finance and economics, environmental engineering,
chemistry, computer science, and so on.
Some of the applications of AI are listed below:
Perception
■ Machine vision
■ Speech understanding
■ Touch ( tactile or haptic) sensation

12. SOME APPLICATIONS OF AI (2/3)
Robotics
Natural Language Processing
■ Natural Language Understanding
■ Speech Understanding
■ Language Generation
■ Machine Translation
Planning

13. SOME APPLICATIONS OF AI (2/3)
Robotics
Natural Language Processing
■ Natural Language Understanding
■ Speech Understanding
■ Language Generation
■ Machine Translation
Planning

14. SOME APPLICATIONS OF AI (3/3)
Expert Systems
Machine Learning
Theorem Proving
Symbolic Mathematics
Game Playing

15. 4. SOME APPLICATIONS OF AI IN POWER PLANT
https://slideplayer.com/slide/6160713/

16. https://www.youtube.com/watch?v=Iq0vYCPA6z4

17. 5. OUR PROJECTS
Regarding with MoU document No. 047/KS.00.08/USAKTI/R/XII/2019
and 073.MOU/061/IP/2019 PT Indonesia Power (IP) and Universitas
Trisakti (Usakti) will conduct mutual benefit Cooperation on 3
projects:
 Research on Application of AI for Efficient Inventory System in
Primary Energy Supply Chain Management
 Research on Troubleshooting Engineering Problem using Machine
Learning Algorithms
 Development of Knowledge Repository for Control Instruments in
Generator Engine

18. 6. CLOSING REMARKS
IP and Usakti have been organized some collaborative
program, such as Workshop Industry 4.0 Technology,
Lecturer and Students Excursion, Join Research
Assessment, etc
Hopefully this useful activities could be improved in the
near future, to enhance competence
This sharing session is very precious the both to improve
link and match of academic sector with industry and
business as the real sector

19. REFERENCES
1. https://www.slideshare.net/vinnovase/industry-40-the-
german-vision-for-advanced-manufacturing
2. Artificial Intelligence in Manufacturing
https://smartfactory.de/wp-content/uploads/2019/03/
SF_BR_HM2019_Artificial_intelligence-_EN.pdf
3. SmartFactory KL Pioneer of Industrie 4.0,
https://smartfactory.de/wp-content/uploads/2019/04/
SF_BR_04_2019_Wegbereiter_VonIndustrie_4.0_A5_WEB_EN.pdf

20. THANK YOU