Car selection in games using multi-objective optimization by ratio analysis based on player achievement

Nafiansyah Putra, Caesar and Nugroho, Fresy and Imamudin, Mochamad and Pebrianti, Dwi and Abdelhamid Hammad, Jehad and Lestari, Tri Mukti and Maharani, Dian and Nurrahman, Alfina (2026) Car selection in games using multi-objective optimization by ratio analysis based on player achievement. Computer Science and Information Technologies, 7 (1). pp. 30-45. ISSN 2722-323X E-ISSN 2722-3221

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Abstract

The selection menu in some racing games usually uses a random system for vehicle selection. However, this random feature generally randomizes the selection of the index without considering factors that support the player's abilities. Therefore, this study aims to develop a racing game that can suggest vehicles that have been adjusted to the player's performance. Vehicle recommendations are made using the multi-objective optimization on the basis of ratio analysis (MOORA) method as its method. The MOORA calculation ranks vehicles based on criteria such as mileage, fuel efficiency, speed, agility, and others collected in previous games. The results of this study show the effectiveness of using the MOORA method in recommending vehicles that match the player's skills, thereby improving the overall player experience. In addition, the usability test produced a system usability scale (SUS) score of 82.4, so it is included in the very good category

Item Type:	Article (Journal)
Uncontrolled Keywords:	MOORA, Nielsen’s attribute of usability, Player skills, Racing game, Vehicle selection
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr Dwi Pebrianti
Date Deposited:	19 May 2026 11:54
Last Modified:	19 May 2026 11:54
Queue Number:	2026-05-Q3446
URI:	http://irep.iium.edu.my/id/eprint/129058

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