APPLICATION OF MULTI-CRITERIA PROMETHEE METHOD TO ASSIST CHARACTER SELECTION IN THE ENDLESS RUNNER GAME

Alfina Nurrahma; Fresy Nugroho; I.G.P. Asto  Buditjahjanto; Dwi  Pebrianti; Jehad A.H. Hammad; Moch  Fachri; Tri Mukti  Lestari; Dian  Maharani; Aji Bagas  Prakasa

doi:10.52436/1.jutif.2024.5.4.2183

Alfina Nurrahma Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
Fresy Nugroho Electrical Engineering, Faculty of Engineering, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
I.G.P. Asto Buditjahjanto State University of Surabaya, Surabaya, Indonesia
Dwi Pebrianti Department of Mechanical Aerospace Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Jehad A.H. Hammad Department of Computer Information System, Al Quds Open University, Abu Dis Palestine
Moch Fachri Faculty of Engineering, Universitas Krisnadwipayana, Jakarta, Indonesia
Tri Mukti Lestari Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia
Dian Maharani Mathematics, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia
Aji Bagas Prakasa Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia

DOI: https://doi.org/10.52436/1.jutif.2024.5.4.2183

Keywords: Game, Multicriteria, PROMETHEE

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.

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