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 2020:

  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



Jithin Sundaresan, Ph.D.

A research-oriented academic with education from top Institutes in India, experienced in teaching, conducting laboratory sessions, and designing experiments.
Has received multiple awards and has research experience as a Postdoctoral Fellow and Research Associate at IIT Bombay, with expertise in manufacturing technology & published manuscripts in reputable journals.
Selected articles:
  • S. Jithin, and S. S. Joshi, Surface Topography Generation and Simulation in Electrical Discharge Texturing: A Review, Journal of Materials Processing Technology, vol. 298, 117297, 2021.
  • S. Jithin, U. V. Bhandarkar, and S. S. Joshi, Three-dimensional Topography Analysis of Electrical Discharge Textured SS 304 Surfaces, Journal of Manufacturing Processes, vol. 60, pp. 384-399, 2020.
  • S. Jithin, U. V. Bhandarkar, and S. S. Joshi, Characterization of Surface Topographies Generated using Circular- and Cylindrical- Face EDT, Surface Topography: Metrology and Properties, vol. 8, no.4, 045018, 2020.
  • S. Jithin, A. Raut, U. V. Bhandarkar, and S. S. Joshi, Finite Element Model for Topography Prediction of Electrical Discharge Textured Surfaces Considering Multi-Discharge Phenomenon, International Journal of Mechanical Sciences, vol. 177, 105604, 2020.
  • S. Jithin, U. V. Bhandarkar, and S. S. Joshi, Multi-Spark Model for Predicting Surface Roughness of Electrical Discharge Textured Surfaces, International Journal of Advanced Manufacturing Technology, vol. 106, pp. 3741-3758, 2020.
  • S. Jithin, U. V. Bhandarkar, and S. S. Joshi, Analytical Simulation of Random Textures Generated in Electrical Discharge Texturing,Transactions of ASME Journal of Manufacturing Science and Engineering, vol. 139, no.11, p. 111002 (1-12), 2017.
  • S. Jithin, S. S. Shetye, J. J. Rodrigues, K. S. Mhetre, S. A. Mastud, and S. S. Joshi, Analysis of Electrical Discharge Texturing using Different Electrode Materials, Advances in Materials and Processing Technologies, vol. 4, no. 3, pp. 466-479, 2018
  • S. Jithin, A. Raut, U. V. Bhandarkar, and S. S. Joshi, FE Modeling for Single Spark in EDM Considering Plasma Flushing Efficiency, Procedia Manufacturing, vol. 26, pp. 617-628, 2018
Management Information Systems for Leaders

Wearable Technology (IoT)


Win Ce
Win Ce


He is an expert in business process management, supply chain, and enterprise resource planning (ERP) specialized in SAP Product and is certified for HRM module. He is currently holding managerial position as the Operational Director for BINUS International JWC Campus in Senayan, Jakarta. His passion in education has been proved by his contribution in the higher education teaching and research for 17 years.

Recent Articles 2020:

  1. Text Classification Services Using Naïve Bayes for Bahasa Indonesia
  2. Fraud Detection Decision Support System for Indonesian Financial Institution
  3. PCB defect detection USING OPENCV with image subtraction method
  4. System Requirement in View of Users and Process for Content Management and Academic Support System for Computer Laboratory
  5. Knowledge Management using Gamification in Consulting Firms
  6. Inventory Placement Mapping using Bluetooth Low Energy Beacon Technology for Warehouses
  7. Evaluation of knowledge management implementation at P2LD (deep sea research center)
ERP (Enterprise Resource Planning) – SAP.Business Process Management
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 2020:

  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.

Nathalia Devina

She graduated from several degrees in Australia: Master of Practising Accounting from RMIT, Australia
Graduated with first class honours Master of Business System (Research) from Monash University, VICTORIA, Australia
Graduated with second class honours Bachelor of Information System, The University of Melbourne, VICTORIA, Australia; She also joined Citibank as a Relationship Manager Corporate Bank.
Recent Research Grant:ISIF – AsiaLatest articles 2020:

  1. IT Professionals Awareness: Green IT International Comparison Study
  2. A Preliminary Study of Merchants’ Intention to Adopt Online Payment Gateway in Indonesia
  3. Transformation of XML Schema to Object Relational Database
  4. 3D Product Viewer for E-Commerce Applications
  5. A Review of Factors Influencing User Satisfaction in Indonesia’s Online Newspaper




IS System Analysis and Design, Human Computer Interaction,

Arfika Nurhudatiana
Arfika Nurhudatiana

Arfika Nurhudatiana is a PhD from the School of Computer Engineering, Nanyang Technological University, Singapore with SembCorp Scholarship in 2010. Her PhD thesis entitled “Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) for Forensic Identification”. She worked with IBM Singapore for almost three years as a SAP consultant for a national healthcare IT system provider in Singapore where she was awarded with the Best of IBM Bravo award for her excellent contribution to the project. So far, she has published in one journal and three conferences, all of which as the first author, and filed one patent. The journal paper was published in the IEEE Transactions on Information Forensics and Security, a reputable journal in her area, and was selected as a journal presentation at the IEEE International Workshop on Information Forensics and Security (WIFS) 2013 in Guangzhou, China. She received financial supports from NTU to attend and present her research in international conferences in US, Canada, and China. She has two more first authored journal papers to be submitted in the near future. In addition to the papers and patents, she received the Google Anita Borg Memorial Scholarship Asia in 2012 for demonstrating outstanding academic achievement, leadership, and community involvement. Every year, only 15 female students in Asia are awarded with the scholarship. In the same year, she also won 1st place (dermatology category) at the Cureus Fall 2012 International Poster Competition for her collaboration study with Los Angeles Biomedical Institute at Harbor-UCLA Medical Center entitled “Skin Marks as Novel Biometrics for Forensic Analysis”. She is now working as a researcher in Nanyang Technological University while waiting for graduation (expected June 2014). Her major research interests include pattern recognition, image processing, and computer vision.

Recent Articles 2020:

  1. On Criminal Identification in Color Skin Images Using Skin Marks (RPPVSM) and Fusion With Inferred Vein Patterns
  2. Relatively Permanent Pigmented or Vascular Skin Marks for Identification: A Pilot Reliability Study
  3. Decision tree modeling for predicting research productivity of university faculty members
  4. Should I Use Laptop or Smartphone? a Usability Study on an Online Learning Application
  5. A Computer-Aided Diagnosis System for Vitiligo Assessment: A Segmentation Algorithm
Research method and statistic,  pattern recognition, image processing, and computer vision.

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 (2020):

  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.
Nasir Advani Graduate from Monash University Australia, he has 11 years experience as the Country System Z Leader at IBM Indonesia. Business Process Analysis, IT Service Management
Dony Yuliardi Graduated from University of Warwick he is passionate towards creating and Nurturing partnership with strategic partners, defining future strategy, conduct R&D for high-end strategic platform/applications and judge through Proof of Concept, defining market and go-to-market strategy, developing business & financial analysis to new business

Specialties: Value-Added Services, Product Development, Cellular Strategy, Strategic Partnership, Marketing, System or Service Design, Business analysis, Financial Analysis, mobile payments, GSM technology, e-money Indonesia regulation

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