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All Journal Jurnal Infomedia TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF)
Prakasa, Aji Bagas
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Penerapan Metode GA-TOPSIS untuk Sistem Seleksi Karakter Game dengan Pembobotan Dinamis Berbasis Waktu Prakasa, Aji Bagas; Nugroho, Fresy; Faisal, Muhammad; Lestari, Tri Mukti; ’N, Alfina Nurrahma; Taufiqulhakim, Adnan Muhammad
Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan Vol 10, No 1 (2025): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v10i1.6869

Abstract

Penelitian ini bertujuan mengembangkan sistem pendukung keputusan untuk seleksi karakter optimal dengan menerapkan metode hybrid Algoritma Genetika dan TOPSIS (GA-TOPSIS) yang mempertimbangkan variasi temporal dalam kriteria pembobotan. Pendekatan ini mengintegrasikan kemampuan optimasi Algoritma Genetika dalam menentukan bobot kriteria secara otomatis dengan teknik pengambilan keputusan multi-kriteria TOPSIS. Hasil penelitian menunjukkan bahwa optimasi GA menghasilkan variasi pembobotan yang signifikan sesuai skenario waktu: pada kondisi Pagi dengan dominasi kriteria Gerakan (82%), Siang dengan penekanan pada Tinggi Badan (52%) dan Nyawa (38%), serta Malam yang didominasi Pertahanan (85%).Evaluasi menggunakan TOPSIS menghasilkan peringkat alternatif yang berbeda untuk setiap skenario. Pada kondisi Pagi, alternatif A4 mencapai skor CCi tertinggi (0.83) karena keunggulan dalam kriteria Gerakan. Skenario Siang menempatkan A2 sebagai optimal (CCi=0.90) berkat performa pada Tinggi Badan dan Nyawa, sedangkan di Malam, A3 unggul (CCi=0.89) dengan Pertahanan terbaik. Konsistensi hasil ditunjukkan oleh A1 yang selalu berada di peringkat terbawah karena nilai kriteria yang minimal. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem pendukung keputusan adaptif, khususnya yang memerlukan penyesuaian bobot dinamis berdasarkan perubahan kondisi lingkungan. Potensi integrasi dengan teknologi IoT untuk pembaruan bobot secara real-time menjadi nilai tambah penerapan metode ini.
Penerapan Metode GA-TOPSIS untuk Sistem Seleksi Karakter Game dengan Pembobotan Dinamis Berbasis Sensor Suhu Prakasa, Aji Bagas; Nugroho, Fresy; Faisal, Muhammad; Lestari, Tri Mukti; N, Alfina Nurrahma; Taufiqulhakim, Adnan Muhammad
TIN: Terapan Informatika Nusantara Vol 6 No 1 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i1.7646

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.
APPLICATION OF MULTI-CRITERIA PROMETHEE METHOD TO ASSIST CHARACTER SELECTION IN THE ENDLESS RUNNER GAME Nurrahma, Alfina; Nugroho, Fresy; Buditjahjanto, I.G.P. Asto; Pebrianti, Dwi; Hammad, Jehad A.H.; Fachri, Moch; Lestari, Tri Mukti; Maharani, Dian; Prakasa, Aji Bagas
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2183

Abstract

The endless runner game is one of the most popular game genres, but selecting the optimal character for different map challenges poses a significant problem for players. In this context, this research was conducted to help select characters in the endless runner game using the PROMETHEE method. This selection is recommended based on the weight and difficulty of each map which varies, including the rice field map, road map and alley map. The implementation of calculating character recommendations uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method with the highest score as the best ranking. Rank suitability can be determined by comparing the PROMETHEE method with the TOPSIS method on 15 characters alternatives with 6 criteria. As a result, the PROMETHEE method has significant value, but some still have the same best ranking as the TOPSIS method. Furthermore, usability testing was carried out on 57 respondents using the System Usability Scale (SUS) with an overall score from the evaluation of 78,8. The final score obtained based on the acceptance scale was included in the category suitable for use.
Co-Authors Dian Maharani, Dian Fachri, Moch Fresy Nugroho Hammad, Jehad A.H. I Gusti Putu Asto Buditjahjanto Lestari, Tri Mukti Muhammad Faisal N, Alfina Nurrahma Nurrahma, Alfina Pebrianti, Dwi Taufiqulhakim, Adnan Muhammad ’N, Alfina Nurrahma