Prof. Dr. Mohammad Isa Irawan, MT

Prof. Dr. Mohammad Isa Irawan, MT

Ruang U.205 A – LAB Pembelajaran Mesin dan Big Data, Gedung U Lantai 2
Profil Scholar Scopus Sinta

Research Interest

  • machine learning
  • data mining
  • decision sciences
  • bioinformatics.


  • Doctor of Philosophy, Software Engineering & Interactive System Grroup, Department of Informatics, Venna University of Technology – Austria. Title of the thesis “A Framework for Multivariable Forecasting Using Artificial Neural Networks”. (September 1998).
  • Master of Engineering, Control System group, Department of Electrical Engineering, Faculty Graduate Studies, Institut Teknologi Bandung -Indonesia. Title of the thesis “Model Reference Adaptive System for Control Movement of Spacecraft Simulator”. (Maret 1994).
  • Bachelor Degree in Mathematics, University Airlangga – Indonesia. Title of the thesis “Inventory Control System Optimization Model for the Supply of raw materials for paper industry in PT Kertas Leces – Probolinggo “. (April 1988).

Professional membership


Publications (Recent Journals and Conferences)

  1. Reduction in ship fuel consumption and emission by sailing at slow speeds, Journal of Engineering Science and Technology, 2019, 14(6), pp. 3267–3281 |cited count :
  2. A simple genetic algorithm for optimizing multiple sequence alignment on the spread of the sars epidemi, Open Bioinformatics Journal vol. 12, 2019 | cited count : 0
  3. Integrating Data Selection and Extreme Learning Machine for Imbalanced Data , Procedia Computer Science vol. 59, 2015 | cited count : 12
  4. Intelligent irrigation water requirement system based on artificial neural networks and profit optimization, Journal of Theoretical and Applied Information Technology vol. 58, December 2013 | cited count : 6
  5. Neural network-based engine propeller matching (NN-EPM) for trimaran patrol ship, Applied Mechanics and Materials vol. 493, 2014 | cited count : 6
  6. Implementation of non dominated sorting genetic algorithm – Ii (NSGA-II) for multi-objective optimization, Journal of Theoretical and Applied Information Technology vol. 64, June 2014 | cited count : 6
  7. Construction of phylogenetic tree using neighbor joining algorithms to identify the host and the spread of H5N1 viral, Journal of Theoretical and Applied Information Technology vol. 71, 31 January 2015 | cited count : 6
  8. Integrating data selection and extreme learning machine to predict protein-ligand binding site, Journal of Contemporary Engineering Sciences vol. 9, 2016 | cited count : 1
  9. Reverse Transcription-PCR analysis of geranylgeranyl diphosphate synthase (JcGGPPS) in Jatropha curc, AIP Conference Proceedings vol. 1744, 14 June 2016 | cited count : 6
  10. Decomposing and solving capacitated vehicle routing problem (CVRP) using two-step genetic algorithm, Journal of Theoretical and Applied Information Technology vol. 87, 31 May 2016 | cited count : 4
  11. Extreme Learning Machine Method for Dengue Hemorrhagic Fever Outbreak Risk Level Prediction, 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018 vol. , 15 November 2018 | cited count : 3