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

Putra, Caesar Nafiansyah, Nugroho, Fresy ORCID: https://orcid.org/0000-0001-9448-316X, Imamudin, Mochamad ORCID: https://orcid.org/0009-0006-7522-3710, Pebrianti, Dwi, Hammad, Jehad Abdelhamid, Lestari, Tri Mukti ORCID: https://orcid.org/0009-0005-9416-7905, Maharani, Dian ORCID: https://orcid.org/0000-0002-5991-9068 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. pp. 30-45. ISSN 2722-323X

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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:	Journal Article
Keywords:	MOORA; Nielsen’s attribute of usability; Player skills; Racing game; Vehicle selection
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080309 Software Engineering
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Mochamad Imamudin
Date Deposited:	15 Jul 2026 22:53

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