Jurnal Informatika Universitas Pamulang
Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG

Analisis Visual dan Karakteristik Klub Sepakbola Liga Inggris Berdasarkan Pola Permainan Menggunakan K-Means Clustering

Rachmat Bintang Yudhianto (IPB University)
Fajar Athallah Yusuf (IPB University)
Anwar Fitrianto (IPB University)
L.M. Risman Dwi Jumansyah (IPB University)



Article Info

Publish Date
30 Sep 2024

Abstract

This research aimed to analyze and cluster football teams in the English Premier League (EPL) for the 2023/2024 season based on their playing characteristics using K-Means clustering. Understanding the playing styles is essential for optimizing strategies and enhancing team performance. Preprocessing steps included data cleaning, feature engineering, and visualization of key features such as goals, shots, and attacking attempts. Four clusters were identified using the Elbow method, representing teams with varying levels of attacking and defensive capabilities. Evaluation of the clustering results was conducted using Davies-Bouldin (score: 0.47), Calinski-Harabasz (score: 275.89), and Silhouette (score: 0.53) metrics, indicating moderate clustering quality. The findings suggest that EPL teams tend to be attack-oriented, while defensive strength varies across clusters. Limitations in the dataset, such as the number of observations and features, impacted the analysis, and future studies may benefit from incorporating additional features and advanced dimensionality reduction techniques.

Copyrights © 2024






Journal Info

Abbrev

informatika

Publisher

Subject

Computer Science & IT

Description

Jurnal Informatika Universitas Pamulang is a periodical scientific journal that contains research results in the field of computer science from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments research ...