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All Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Bisman (Bisnis dan Manajemen): The Journal of Business and Management Jurnal Abdimas Ekonomi dan Bisnis Journal of Community Development and Disaster Management Journal of Practical Computer Science (JPCS) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) AMMA : Jurnal Pengabdian Masyarakat Submit : Jurnal Ilmiah Teknologi Informasi dan Sains Teknologi : Jurnal Ilmiah Sistem Informasi ABDIMAS NUSANTARA
Ardiantoro, Luki
Unknown Affiliation
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Social Sciences

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Journal : Journal of Practical Computer Science (JPCS)

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Analisis Pemanfatan Pemodelan Data Mining untuk Pola Permainan Timnas Sepakbola Ardiantoro, Luki; Ristono, Joko
Journal of Practical Computer Science Vol. 4 No. 2 (2024): November 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v4i2.6074

Abstract

Football is a sport that has a very complex variety of tactics, strategies and formations. In this study, the researcher observed and studied the game patterns, tactics and game strategies applied by the Indonesian men's national football team. The methods used are the FP-Tree algorithm and FP-Growth Data Mining to learn the tactical patterns used in the match. Data is collected from a variety of secondary sources, the internet, and match recordings. The purpose of the research is to model the national team's game activities to be simulated with a data mining algorithm, so that competitive game level standards are obtained from national teams that are able to compete at the Asian level. This can be the standard for the quality of performance and coaches of the national team in the next era. The result obtained is that the data mining algorithm can be used to analyze the game pattern of a football team
Co-Authors Achmad Rijanto Akbar, Ronny Makhfuddin Asmorowati, Erna T. Chawari, Kiki Rizky Charim EP, Adrian Fajar Firdiyanto, Ferdy Fitra Ria Silvida Gumilar, Eko Hadi Poernomo, Agoes Hartono Hartono I Kurniawan, Fajar Kurniawan, Fajar Indra M. Adik Rudiyanto Mimin Fatchiyatur Rohmah Muhammad Zainul Abidin, Muhammad Zainul Muslimin, Moh MUSLIMIN, MOH. Nisa Ayunda Nufan Balafif, Nufan Pratama, Yudha Putra, Andika Cahyono Rahayuningsih, Suesthi Ria S, Fitra Rijanto, Ahmad ristono, joko Rokhmad Eko Cahyono Sarasanti, Diah sari, Meila Shafi’i , Imam Sugianto Sugianto Sugianto Verlandes, Yuliasnita Yanuarini Nur Sukmaningtyas Yesy Diah Rosita Zahara, Soffa Zainal Muttaqin Zanuarisma, Aulia