OPTIMASI STRATEGI PEMILIHAN PEMAIN SEPAK BOLA PADA PRO EVOLUTION SOCCER 2017 MENGGUNAKAN ALGORITMA GENETIKA

KASFARIANTO, MOHAMAD ZIDANE and Abdiansah, Abdiansah and Primanita, Anggina (2025) OPTIMASI STRATEGI PEMILIHAN PEMAIN SEPAK BOLA PADA PRO EVOLUTION SOCCER 2017 MENGGUNAKAN ALGORITMA GENETIKA. Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to optimize the process of selecting football players in the PES 2017 game using genetic algorithms. The optimization is conducted to identify the best combination of players based on the average player ratings over a season, thereby maximizing team performance in the game. The methodology employed in this research is experimental, utilizing the application of genetic algorithms. Data collection was carried out through observation and documentation of average player ratings throughout a season in PES 2017. Data analysis involved using genetic algorithms to process player ratings, where the algorithm iterates to find the optimal player combination through selection, crossover, and mutation processes. The results of the study indicate that the use of genetic algorithms in optimizing football player selection in PES 2017 successfully generates an optimal team combination based on player rating data. This method proves to be more effective and efficient compared to conventional player selection, and it provides a more objective team composition recommendation based on actual player performance.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Optimasi, Strategi, Pemilihan Pemain, Sepak Bola, PES 2017, Algoritma Genetika
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mohamad Zidane Kasfarianto
Date Deposited:	16 Apr 2025 03:38
Last Modified:	16 Apr 2025 03:38
URI:	http://repository.unsri.ac.id/id/eprint/164096

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