Program’s Organizational Structure

The above diagram depicting BIS organizational structure of the program. Kindly contact our faculties at the given email address for questions and academic consultation.


Name Description Subjects
Samuel Mahatmaputra

Samuel Mahatmaputra
Samuel Mahatmaputra (


Completed a master degree in Information Technology from the University of Adelaide, Australia and having 17 years experience in the area of Information Technology Education, he has the passion to see higher education students reach their maximum potential in Information System domain. Awarded Best Teaching Award in 2015, his most recent research activities are in mobile information system, structure health monitoring system and computer vision on Automated License Plate Recognition and Vehicles Counters.


Recent Article 2022:

  1. Vessel Monitoring Systems Based on Aerial Images in Sea Environment
  2. Mobile Augmented Reality to Enhance Customer Experience while Purchasing Furniture
  3. Automated Mobile Trip Plan using Simulated Annealing in Microservices Architecture
  4. Implementation of Computer Vision in Detecting Human Poses
  5. Vehicle Recognition Systems Using Speed-Up Robust Features and Non-Maxima Suppression
  6. Vehicle Identification Systems using Virtual Line Sensors and Speed Up Robust Features
  7. Ornament Problem Suppression in Indonesian License Plate Recognition Systems
  8. Fast Performance ALPR Systems Using Interconnected Image Segmentation
  9. Journal:

Virtual Lines Sensors for Moving Object and Vehicle Counters.

Programming, Advance Business Application Development, Intelligence System



Michael Siek
Michael Siek (


Michael Siek, B.Sc., B.Com., M.Sc., Ph.D. Completed his PhD from TU Delft, the Netherlands with 15+ years of multi-disciplinary working experiences of teaching and conducting research at Universities as well as executing and managing various projects for commercial companies.
Computer programming (MQL4/5, Delphi, C/C++, C#, Java, Javascript, Python, Matlab, Maple, R, SAS, Mathematica, Octave, Fortran, VB, PHP, Ruby, Perl, HTML, CSS, XML, SOAP, REST, JSON) Modelling tools (Weka, SPSS, RapidMiner, KNIME, KXEN, Tableau, Hadoop, Hive, Spark, Pig, PRTools, NeuroSolution, Afuz, Globe, Cart, MARS)
ERP software (Oracle e-Businesss Suite, SAP, Microsoft Axapta, Compiere) Databases (Oracle, SQL Server, MySQL, PostgreSQL, Firebird)Recent Articles 2022:

  1. Process Mining with Applications to Automotive Industry
  2. Impact Analysis of Fintech on Banking Industry
  3. Modular learning models in forecasting natural phenomena
  4. Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning
  5. Chaotic model with data assimilation using NARX network


Algorithm and Programming, Data mining, Machine Learning, Technopreneurship, Database, Numerical Computation, Big Data, Market Research, IT Software Development, Pattern Recognition, Cloud computing, Internet of Things, Mobile Apps Development, Enterprise Resources Planning, Management Information System, Business Process Reengineering.

Rein Suadamara (

Dr.-Ing. (Doktor Ingenieur)
University of Duisburg-Essen, Germany
(Institute of Computer Engineering, Faculty of Engineering)
PhD Scholarship : DAAD Germany
Title of Dissertation : Integrating Culture in Designing Groupware Applications as Contribution to Intercultural Collaboration Technology.Recent Articles (2022):

  1. Cultural influence on user preference on groupware application for intercultural collaboration
  2. Cross-Cultural Design of a Groupware Application for Global Virtual Team
  3. CULTURE INFLUENCE ON HUMAN COMPUTER INTERACTION – Cultural Factors Toward User’s Preference on Groupware Application Design
  4. Cultural aspects in groupware application as an intercultural collaboration technology
  5. Integrating culture in designing groupware applications as contribution to intercultural collaboration technology



Contemporary MIS and Algorithm, Technology Consulting, User Experience, e-Commerce IOT and Mobile Systems.