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
Programs
Master of Informatics.
Programs
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
Graduates
Graduate Profile.
Graduates
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.
Study
What Will I Study.
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.
Career
What Will I Become.
Career
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
Study Plan.
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 |
|
Facilities
Our Facilities.
Facilities
PENGAJAR
PENGAJAR.
PENGAJAR
Dr.Eng. Pujianto Yugopuspito,
M.Sc
Dekan Fakultas Ilmu Komputer
Dr.Eng. Pujianto Yugopuspito,
M.Sc
Dekan Fakultas Ilmu Komputer
Dr.Eng., Ir. Pujianto Yugopuspito, M.Sc. merupakan Dekan Fakultas Ilmu Komputer. Dia mengajar mata kuliah Blockchain dan Distributed Ledger; Teknologi HPC; Aplikasi Sistem Terdistribusi; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi rekayasa perangkat lunak lanjutan, komputasi kinerja tinggi, dan komputasi terdistribusi. Ia memperoleh gelar Insinyut (Ir.) Teknik Mesin (Machine Analytics) dari Universitas Gadjah Mada, gelar Master of Science (MSc.) in Software Techniques for Computer Aided Engineering dari Cranfield University di Inggris, dan gelar Doctor of Engineering (Dr.Eng.) in Computer Science and Communication Engineering dari Kyushu University di Jepang. Ia juga seorang Reviewer Penelitian Nasional Tersertifikasi, dan Pendidik Tersertifikasi.Pencapaian:
- Best paper awards in 1st International Conference and Workshop on Telecommunication, Computing, Electrical, Electronics and Control
2018
- 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
I Made Murwantara,
S.Si., M.Kom., Ph.D.
Ketua Program Studi Magister Informatika
I Made Murwantara,
S.Si., M.Kom., Ph.D.
Ketua Program Studi Magister Informatika
I Made Murwantara, S.SI., M.KOM., PH.D. merupakan Ketua Program Studi Magister Informatika. Dia mengajar mata kuliah Manajemen Data; Machine Learning; Metode Optimisasi; Data Sains untuk IoT; Visual Analitik; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi rekayasa produk perangkat lunak untuk dan dalam komputasi cloud, data science, dan perangkat lunak berbasis pencarian. Ia memperoleh gelar Sarjana Matematika sub Ilmu Komputer dari Universitas Padjajaran, gelar Magister ilmu Komputer dari Universitas Indonesia, dan gelar PhD in Computer Science dari University of Birmingham di Inggris.Pencapaian:
- Best Paper Award Telkomnika 2018
- 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)
Dr. David Habsara Hareva,
S.Si., MHS
Kepala Laboratorium Medical Informatics
Dr. David Habsara Hareva,
S.Si., MHS
Kepala Laboratorium Medical Informatics
DR. David Habsara Hareva, S.SI., MHS merupakan Kepala Laboratorium Medical Informatics. Dia mengajar mata kuliah Sistem Informasi dan Administrasi Rumah Sakit; Teknologi Terapan Layanan Kesehatan; Sistem Pintar Perangkat Medis; Pengolahan Citra Digital; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi informatika medis. Ia memperoleh gelar Sarjana Matematika (Ilmu Komputer) dari Universitas Padjajaran, gelar Master of Healthsciences (Biomedical Engineering and Information) dan gelar Doctor of Healthsciences (Biomedical Engineering and Information) dari Graduate School of Okayama University. Ia juga seorang Pendidik Tersertifikasi.lihat publikasi (klik di sini)
Dr. Benny Hardjono,
BEE(Hons), M.Eng.
Pengajar
Dr. Benny Hardjono,
BEE(Hons), M.Eng.
Pengajar
DR. Benny Hardjono, BEE(HONS), M.ENG. merupakan dosen Program Studi Teknik Informatika. Dia mengajar mata kuliah Teknologi Deep Learning; Aplikasi Sistem Terdistribusi; Keamanan Sistem; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi system transportasi cerdas, interaksi manusia dengan computer, pemodelan lalu lintas jalan raya, kepintaran artifisial, dan robotik. Ia memperoleh gelar S1 Electronics Engineering dan S2 Communications Engineering dari RMIT University, dan gelar S2 Computer Science dari Universitas Indonesia. Ia juga seorang Anggota Senior dari IEEE dan ACM, Pendidik Tersertifikasi, dan memiliki Sertifikat IBM dB2.lihat publikasi (klik di sini)
Hendra Tjahyadi,
S.T., M.T., Ph.D.
Pengajar
Hendra Tjahyadi,
S.T., M.T., Ph.D.
Pengajar
Hendra Tjahyadi, S.T., M.T., Ph.D. merupakan Dosen Program Studi Magister Teknik Informatika. Dia mengajar mata kuliah Simulasi dan Pemodelan Biosignal Lanjut; Metode Optimisasi; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi pengendalian adaptif dan kuat, sistem pengendalian pintar, dan pemrosesan sinyal. Ia memperoleh gelar S1 Teknik Elektro dari Universitas Kristen Maranatha, gelar S2 Instrumentasi dan Kontrol dari Institut Teknologi Bandung, dan gelar S3 Ph.D. Control Engineering dari School of Engineering, Flinders University.Pencapaian:
- AUSAID (Ph.D program)
- Endeavour (Post Doctoral)
- United Board (University Leadership)
- 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)
Dr. Ir. Samuel Lukas,
M.Tech.
Pengajar
Dr. Ir. Samuel Lukas,
M.Tech.
Pengajar
Dr. Ir. Samuel Lukas, M.Tech. merupakan Dosen Program Studi Magister Teknik Informatika. Dia mengajar mata kuliah Kecerdasan Komputasional; Jaringan Syaraf Tiruan; Algoritma Genetik; Komputasi Neural; Pengolahan Citra Digital; Machine Learning; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi kecerdasan artificial, teknologi edukasi, dan pembelajaran mesin. Ia memperoleh gelar Sarjana Elektro dari Universitas Trisakti, gelar Master of Technology dari University of Tasmania, dan gelar Doktoral Science Education dari Curtin University. Ia juga seorang Pendidik Bersertifikasi.Pencapaian:
- READI Research Project 2018-2019
- 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)
Dr. Sutrisno,
S.E., M.Kom.
Pengajar
Dr. Sutrisno,
S.E., M.Kom.
Pengajar
Dr. Sutrisno, S.E., M.Kom. merupakan dosen Program Studi Magister Teknik Informatika. Dia mengajar mata kuliah Manajemen Data; Metode Optimisasi; Teknologi HPC; Machine Learning; Penulisan Proposal; Publikasi Ilmiah; Tesis. Bidang minatnya meliputi pencitraan computer (fotografi), teknologi imersif, pembelajaran mesin, dan ilmu data. Ia memperoleh gelar Sarjana Ekonomi (Manajemen), Magister Ilmu Komputer, dan Doktor Ilmu Komputer dari Universitas Indonesia. Ia juga merupakan seorang Pendidik Tersertifikasi.Pencapaian:
- The Most Innovative Student Talk, pada Pacific Rim Applications and Grid Middleware Assembly (PRAGMA 29)
7-9 Oktober 2015
- Inter session communication in a reactive web application for the IoT system, ACM International Conference Proceeding Series, Conference Proceeding Q4
AKTIVITAS
Acara Terkait.
AKTIVITAS
HARIAN
Berita Terkait.
HARIAN
