Master of Informatics

S2 Informatika / Magister Informatika – Universitas Pelita Harapan

Industri Teknologi Informasi sudah menjadi bagian yang tidak terpisahkan dalam masyarakat modern dan yang memainkan peranan sangat penting dalam membentuk masa depan. S2 Informatika UPH menawarkan kurikulum yang komprehensif dengan 36 sks.

Pilihan pelaksanaan studi Magister Informatika UPH dibagi menjadi 2 track:
1. Coursework, mahasiswa mengikuti perkuliahan secara reguler terjadwal.
2. Riset, mahasiswa melaksanakan penelitian paling sedikit 80% dengan bimbingan dosen pengampu dan 20% melakukan perkuliahan secara terstruktur.

Berikut adalah bidang peminatan Magister Teknik Informatika yang dapat kamu pilih di program studi kami:
Medical Informatics
Artificial Intelligence
Cloud Computing and Blockchain Technology
Data Science

Fakultas Ilmu Komputer UPH

Master of Informatics.

Information Technology industry has become an integral part of modern society and plays a crucial part in shaping the future. Master of Informatics UPH program offers a comprehensive curriculum, which requires 36 credits.

We offer two (2) tracks of study:
1. Coursework, you will have a scheduled basis course.
2. Research, you will experience at least 80% of research activity guided by subject lecturers and 20% on a scheduled course.

Here are specializations that you can choose in our study program:
Medical Informatics
Artificial Intelligence
Cloud Computing and Blockchain Technology
Data Science

faculty information

Graduate Profile.

A graduate who is:

  • Skills and knowledge of Information Technology (IT) to develop a career as CIO and envision start-up programs’ development.
  • Skills and knowledge to scientifically develop Information Technology that can be applied in society as research products.

What Will I Study.

This program delivers game changer subject in Information Technology, such as:

  • High Performance Computing in Cloud Computing
  • Analysis and Modeling of Hospital Information System
  • Artificial Intelligence
  • How to develop Computational Intelligence Blockchain Technology and its application
  • How to model and analyze in analytics way
  • Method of Machine Learning
  • Deep Learning Technology
  • How to implement smart health system and application
  • Enhancing Cloud Computing via automation

For further information, see curriculum section.

What Will I Become.

The graduate of this program may have their career on several position as follows:

  • CIO
  • CTO
  • Pemimpin perusahaan rintisan (Start-up)
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Lecturer
  • Researcher
  • State Civil Apparatus in Informatics
  • Health Informatics Specialist
  • Clinical Informatics Analyst
  • Health Informatics Consultant
  • EHR Implementation Manager
  • Health Information Technology Project Manager
  • Chief Medical Information Officer
  • Blockchain developer
  • Blockchain Solution Architect
  • Blockchain project manager
  • Blockchain UX designer
  • Blockchain quality engineer
  • AI Engineer
  • AI Analyst

Study Plan.

1st Semester
Courses Credits
Research Methodology 2
Machine Learning 4
Computational Intelligence 3
Cloud Computing & Virtualization 3
2nd Semester
Courses Credits
Thesis Proposal 2
Optional Subject (3 Courses) 10
3rd Semester
Courses Credits
Optional Subject (1 Course) 4
Scientific Publication 2
Master Thesis 6
Compulsory Courses
Courses Credits
Hospital Administration and Information System 3
Applied Medical Technology Services 4
Smart Medical Devices 4
Advanced Biosignal Modeling & Simulation 3
Elective Courses
Courses Credits
Machine Learning 4
Digital Image Processing 4
Compulsory Courses
Courses Credits
Computational Intelligence 3
Neural Network 4
Genetic Algorithm 4
Digital Image Processing 3
Elective Courses
Courses Credits
Machine Learning 4
Neural Computation 4
Compulsory Courses
Courses Credits
Blockchain and Distributed Ledger 4
High Performance Computing 4
Cloud Computing Automation 3
Security System 3
Elective Courses
Courses Credits
Applied Distributed System 4
Machine Learning 4
Compulsory Courses
Courses Credits
Data Management 4
Machine Learning 4
Optimization Methods 3
Data Science for Internet of Things 3
Elective Courses
Courses Credits
Deep Learning 4
Visual Analytics 4
Study Fee
First Payment Rp8.600.000
Total Study Fee Rp65.200.000

*) The price covers all tuition fee during normal study period according to valid curriculum

download study fee

Our Facilities.

LECTURERS.

Dr.Eng. Pujianto Yugopuspito,
M.Sc

Dean of School of Information Science and Technology
Dr.Eng., Ir. Pujianto Yugopuspito, M.Sc. is the Dean of School of Information Science and Technology. He teaches Blockchain and Distributed Ledger; HPC technology; Distributed System Applications; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include advanced software engineering, high performance computing, and distributed computing. He earned his title of Insinyur (Ir.) Teknik Mesin (Machine Analytics) from Universitas Gadjah Mada, Master of Science (MSc.) in Software Techniques for Computer Aided Engineering from Cranfield University in the United Kingdom, and Doctor of Engineering (Dr.Eng.) in Computer Science and Communication Engineering from Kyushu University in Japan. He is also a Certified Reviewer for National Research, and a Certified Educator.

Awards:
  • Best paper awards in 1st International Conference and Workshop on Telecommunication, Computing, Electrical, Electronics and Control
    2018
Journal Publications:
  • Towards adaptive sensor-cloud for Internet of Things Telkomnika (Telecommunication Computing Electronics and Control) vol: 16, issue : 6, 2018-12-01, Journal Q3
  • Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data. Telkomnika (Telecommunication Computing Electronics and Control), vol: 18, issue : 3, 2020-01-01, Journal Q3
  • Inter session communication in a reactive web application for the IoT system, ACM International Conference Proceeding Series, Conference Proceeding Q4
see other publications (click here)

I Made Murwantara,
S.Si., M.Kom., Ph.D.

Head of Master of Informatics
I Made Murwantara, S.SI., M.KOM., PH.D. is the Head of Master of Informatics Study Program. He teaches Data Management; Machine Learning; Optimization Method; Data Science for IoT; Visual Analytics; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include software product line engineering for and in cloud computing, internet of things, data science, and search-based software engineering. He earned his Bachelor’s Degree in Mathematics sub Computer Science from Universitas Padjajaran, Master in Computer Science from Universitas Indonesia, and PhD in Computer Science from University of Birmingham in the UK. He is also a Certified Educator.

Awards:
  • Best Paper Award Telkomnika 2018
Journal Publications:
  • Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data Murwantara, I.M., Yugopuspito, P., Hermawan, R. Telkomnika (Telecommunication Computing Electronics and Control), 2020, 18(3), pp. 1331-1342
  • Towards Adaptive Sensor-Cloud for Internet of Things, I Made Murwantara, Hendra Tjahyadi, Pujianto Yugopuspito, Arnold Aribowo, Irene A Lazarusli Telkomnika, 2018, 16(6)
see other publications (click here)

Dr. David Habsara Hareva,
S.Si., MHS

Head of Medical Informatics Laboratory
DR. David Habsara Hareva, S.SI., MHS is the Head of Medical Informatics Laboratory. He teaches Information System and Hospital Administration; Health Service Applied Technology; Medical Device Smart System; Digital Image Processing; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include medical informatics. He earned his Bachelor’s Degree in Mathematics (Computer Science) from Universitas Padjajaran, Master of Healthsciences (Biomedical Engineering and Information) and Doctor of Healthsciences (Biomedical Engineering and Information) from Graduate School of Okayama University. He is also a Certified Educator.

see publications (click here)

Dr. Benny Hardjono,
BEE(Hons), M.Eng.

Lecturer
DR. Benny Hardjono, BEE(HONS), M.ENG. is a lecturer of Informatics System Study Program. He teaches Deep Learning Technology; Distributed System Applications; System Security; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include intelligent transport system, human computer interactions, highway-traffic modeling, artificial intelligence, and robotics. He earned his Bachelor’s Degree in Electronics Engineering and Master’s Degree in Communications Engineering from RMIT University, and Doctoral Degree in Computer Science from Universitas Indonesia. He is also a Senior Member of IEEE and ACM, a Certified Educator, and has IBM dB2 Certificates.

see publications (click here)

Hendra Tjahyadi,
S.T., M.T., Ph.D.

Lecturer
Hendra Tjahyadi, S.T., M.T., Ph.D. is a Lecturer of Master of Informatics Study Program. He teaches Advanced Biosignal Simulation and Modeling; Optimization Method; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include adaptive and robust control, intelligent control system, and signal processing. He earned his Bachelor’s Degree in Electrical Engineering from Universitas Kristen Maranatha, Master’s Degree in Instrumentation and Control from Institut Teknologi Bandung, and Ph.D. in Control Engineering from School of Engineering, Flinders University. He is also a Certified Educator and Lead Auditor.

Awards:
  • AUSAID (Ph.D program)
  • Endeavour (Post Doctoral)
  • United Board (University Leadership)
Journal Publications:
  • Multi-mode vibration control of a flexible cantilever beam using adaptive resonant control, H Tjahyadi, F He, K Sammut, Smart materials and structures 15 (2), 270
  • M4ARC: multi-model–multi-mode adaptive resonant control for dynamically loaded flexible beam structures H Tjahyadi, F He, K Sammut Smart materials and structures 17 (4), 045006
  • Android Based Automated Scoring of Multiple-Choice Test H Tjahyadi, YG Budijono, S Lukas, D Krisnadi International Journal of Machine Learning and Computing 7 (5)
see other publications (click here)

Dr. Ir. Samuel Lukas,
M.Tech.

Lecturer
Dr. Ir. Samuel Lukas, M.Tech. is a Lecturer of Master of Informatics Study Program. He teaches Computational Intelligence; Artificial Neural Networks; Genetic Algorithm; Neural Computing; Digital Image Processing; Machine Learning; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include artificial intelligence, education technology, and machine learning. He earned his Bachelor’s Degree in Electrical Engineering from Universitas Trisakti, Master of Technology from University of Tasmania, and Doctorate’s Degree in Science Education from Curtin University. He is also a Certified Educator.

Awards:
  • READI Research Project 2018-2019
Journal Publications:
  • Android Based Automated Scoring of Multiple-Choice Test H Tjahyadi, YG Budijono, S Lukas, D Krisnadi International Journal of Machine Learning and Computing 7 (5)
see other publications (click here)

Dr. Sutrisno,
S.E., M.Kom.

Lecturer
Dr. Sutrisno, S.E., M.Kom. is a lecturer of Master of Informatics Study Program. He teaches Data Management; Optimization Method; HPC technology; Machine Learning; Proposal Writing; Scientific Publications; Thesis courses. His areas of interest include computational imaging (photography), immersive technology, machine learning, and data science. He earned his Bachelor’s Degree in Management, Master’s Degree in Computer Science, and Doctorate’s Degree in Computer Science from Universitas Indonesia. He is also a Certified Educator.

Awards:
  • The Most Innovative Student Talk, pada Pacific Rim Applications and Grid Middleware Assembly (PRAGMA 29)
    7-9 Oktober 2015
Journal Publications:
  • Inter session communication in a reactive web application for the IoT system, ACM International Conference Proceeding Series, Conference Proceeding Q4
see other publications (click here)

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