Prof. Dr. Mohammad Isa Irawan, MT

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Prof. Dr. Mohammad Isa Irawan, MT

Email mii@its.ac.id
Ruang U.205 A – LAB Pembelajaran Mesin dan Big Data, Gedung U Lantai 2
Professional membership IAENG, INDOMS
Profil Scholar Scopus Sinta

Research Interest

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

Education

  • Doctor of Philosophy, Software Engineering & Interactive System Group, Department of Informatics, Vienna University of Technology – Austria.
  • Master of Engineering, Control System group, Department of Electrical Engineering, Faculty Graduate Studies, Institut Teknologi BandungIndonesia.
  • Bachelor Degree in Mathematics, University Airlangga Indonesia.

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 Journal12, 2019 | cited count : 0
  3. Integrating Data Selection and Extreme Learning Machine for Imbalanced Data , Procedia Computer Science59, 2015 | cited count : 12
  4. Intelligent irrigation water requirement system based on artificial neural networks and profit optimization, Journal of Theoretical and Applied Information Technology58, December 2013 | cited count : 6
  5. Neural network-based engine propeller matching (NN-EPM) for trimaran patrol ship, Applied Mechanics and Materials493, 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 Technology64, 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 Technology71, 31 January 2015 | cited count : 6
  8. Integrating data selection and extreme learning machine to predict protein-ligand binding site, Journal of Contemporary Engineering Sciences9, 2016 | cited count : 1
  9. Reverse Transcription-PCR analysis of geranylgeranyl diphosphate synthase (JcGGPPS) in Jatropha curc, AIP Conference Proceedings1744, 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 Technology87, 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, 15 November 2018 | cited count : 3

 Research and Development Project

  1. IMPLEMENTATION OF SOCIAL MEDIA MINING FOR DECISION MAKING IN PRODUCT PLANNING BASED ON TOPIC MODELING AND SENTIMENT ANALYSIS, Department Research Fund, 2019
  2. Genetic Algorithm for Function Optimization with Multiple Variables, Department Research Fund, 2020.
  3. Identification of H9 Virus Spread in Indonesia Using Phylogenetic Trees and Prediction of Antivirus Candidates, Basic Research, 2020.
  4. New Algorithms for Traveling Salesman Problem, Beginner Research, 2019
  5. The Use of Artificial Intelligence Methods in Solving Molecular Docking Problems, Master’s Thesis Research, 2019
  6. EXTREME GRADIENT BOOSTING METHOD IN THE SEARCH OF PROTEIN THAT INFLUENCES INSULIN PRODUCTION BASED ON PROTEIN-PROTEIN INTERACTION, Master’s Thesis Research, 2020.