Skripsi
#14862
SKRIPSI/JUR.TI PS.TEKNIK INFORMATIKA MULTIMEDIA/016 MOH P 2021 ISBN:17.665.058

Subjects: Penelitian

    PENENTUAN PEMAIN TERBAIK LIGA INGGRIS DALAM GAME PRO EVOLUTION SOCCER (PES) 2021 TIAP – TIAP POSISI --

    Mohamad Yogi Fermansyah / / /
    Samarinda Samarinda 2021
    viii; 175 h; ilus; 23 cm Bahasa:IND

    ABSTRACT
    Soccer is enjoyed by many individuals all over the world, from young to
    elderly, men and women, and persons with physical limitations. There are
    tournaments and football leagues all around the world, but England's league is the
    finest because of the number of top players. There are many soccer-themed games
    in the game world, including Pro Evolution Soccer (PES), FIFA, Football
    Manager, and more. When players are playing and it's difficult to figure out who
    the best player for each position is to enhance their squad, there's a way to identify
    the best player for each position based on the highest overall rating. Using a set of
    criteria that correspond to the player's current position. The approach utilized is
    K-Means Clustering, which is used to extract appropriate criteria from the player's
    position, average the findings of the criterion cluster, and produce the player's
    overall rating. He is the best player in each position since he has the highest total
    player rating.
    Keywords: Football, Game, Database, Clustering and K – Means Clustering