Penerapan Metode GA-TOPSIS untuk Sistem Seleksi Karakter Game dengan Pembobotan Dinamis Berbasis Sensor Suhu


  • Aji Bagas Prakasa * Mail Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
  • Fresy Nugroho Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang, Indonesia http://orcid.org/0000-0001-9448-316X
  • Muhammad Faisal Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang, Indonesia https://orcid.org/0000-0003-4884-7254
  • Tri Mukti Lestari Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang, Indonesia https://orcid.org/0009-0005-9416-7905
  • Alfina Nurrahma N Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
  • Adnan Muhammad Taufiqulhakim Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
    • (*) Corresponding Author
DOI: https://doi.org/10.47065/tin.v6i1.7646
Keywords: GA-TOPSIS; Game; DSS; MCDM; Multimedia

Abstract

This study aims to develop a decision support system for optimal character selection by implementing a hybrid Genetic Algorithm and TOPSIS (GA-TOPSIS) method that considers temporal variations in criterion weighting. The approach combines the optimization capability of Genetic Algorithms for automatic weight determination with the multi-criteria decision-making technique of TOPSIS. The research results demonstrate that GA optimization produces significant variations in weighting according to time scenarios: morning conditions dominated by Movement (82%), daytime emphasizing Height (52%) and Health (38%), and nighttime dominated by Defense (85%).Evaluation using TOPSIS yields different alternative rankings for each scenario. In morning conditions, alternative A4 achieves the highest  score (0.83) due to its superiority in Movement criteria. The daytime scenario ranks A2 as optimal ( =0.90) because of its performance in Height and Health, while at night, A3 excels ( =0.89) with the best Defense. Result consistency is shown by A1 consistently ranking lowest due to minimal criterion values. This research makes important contributions to the development of adaptive decision support systems, particularly those requiring dynamic weight adjustments based on environmental changes. The potential integration with IoT technology for real-time weight updates adds value to the method's application.

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Author Biographies

Fresy Nugroho, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang

Fresy Nugroho         is a Lecturer in Informatical and Mechanical Engineering Department at the Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia.

He received his B.Eng., in Department of Electrical Engineering of Universitas Brawijaya, Malang, Indonesia, in 1997. And received M.Tech. and Ph.D. degrees in Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia in 2010 and 2022, respectively. He has been an Assistant Professor in Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia. His research interests include the fields of serious game, internet of thing, machines learning, control systems, control numerical machine and intelligence systems. He can be contacted at email: fresy@ti.uin-malang.ac.id

 

Muhammad Faisal, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang

Muhammad Faisal      Received a Bachelor's degree from the Department of Technic Computer, Faculty of Technic, in 2001 at UMSIDA Sidoarjo. He received a Master's degree in 2004 and a Doctor's degree in 2013 at the Department of Electrical Engineering of Institut Teknologi Sepuluh Nopember Surabaya, He was a lecturer in Informatics Engineering at Universitas Islam Negeri Maulana Malik Ibrahim, Malang. Her research interest includes artificial intelligence, machine learning, data science, multimedia and game technology . He can be contacted at email: mfaisal@ti.uin-malang.ac.id

Tri Mukti Lestari, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang

Tri Mukti Lestari    is a Lecturer in Informatical Engineering Department at the Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia. She received her B.Eng., in Department of Informatic Engineering of Universitas Widyagama, Malang, Indonesia, in 2015. And received M.Tech. degrees in Department of Informatics, Universitas Islam Indonesia Yogyakarta in 2019. Her research interests include the fields of dashboard visualization, business intelligence, surveillance. She can be contacted at email: trimuktilestari@ti.uin-malang.ac.id

 

Alfina Nurrahma N, Universitas Islam Negeri Maulana Malik Ibrahim, Malang

Alfina Nurrahma’N  She received her S.Kom., in Department of Informatic Engineering of Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia, in 2024. And now she is studying for her M.Kom. degrees in Department of Informatic Engineering, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia, since 2024. Her research interests include the fields of game, internet of thing, machines learning, control systems and intelligence systems. She can be contacted at email: alfinanurrahman15@gmail.com

Adnan Muhammad Taufiqulhakim, Universitas Islam Negeri Maulana Malik Ibrahim, Malang

Adnan Muhammad Taufiqulhakim  Active Student in Department of Informatics Engineering at UIN Maulana Malik Ibrahim, Malang, Indonesia. He received his Undergraduate degree in Department of Informatics Engineering from UIN Maulana Malik Ibrahim, Malang, Indonesia, in 2021. He is currently an active student at the Department of Informatics Engineering. His areas of interest include Video Editing, Camera Operating, and Motion Graphics. He can be contacted at email: adnanmuhammad0260@gmail.com

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Article History
Published: 2025-06-29
Abstract View: 566 times
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Vol 6 No 1 (2025): June 2025
Pages: 34-44
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Copyright (c) 2025 Aji Bagas Prakasa, Fresy Nugroho, Muhammad Faisal, Tri Mukti Lestari, Alfina Nurrahma N, Adnan Muhammad Taufiqulhakim

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