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All Journal TEKNIK INFORMATIKA Jurnal Informatika Infotronik : Jurnal Teknologi Informasi dan Elektronika Innovation in Research of Informatics (INNOVATICS) Jurnal Abdimas Sang Buana Multifinance Jurnal Isu Teknologi JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Slamet Risnanto
Universitas Sangga Buana
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Determining Potential Players For The Indonesian Senior National Team In The 2026 World Cup Qualifications Using K-Means Risnanto, Slamet; Alfian, Fikri; Faiz, Moh Imam; Nizar, Moh.; Widarti, Dinny Wahyu
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 3 (2024): October
Publisher : Lumina Infinity Academy Foundation

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Abstract

Football is a very popular sport, and the Indonesian National Team is the pride of the Indonesian people. In an effort to improve team performance, especially in facing the 2026 World Cup qualifiers, optimal player selection is a major challenge. This study applies data mining technology to determine potential players who can strengthen the Indonesian Senior National Team. Player data is taken from the Transfermarkt site which includes attributes such as player market value, club, and league. The methods used include data collection, data cleaning and normalization, and analysis using the K-Means clustering algorithm. The analysis process successfully grouped players into four clusters based on their potential. Players in clusters 1 and 3 have high potential to fill the main lineup, while players in cluster 0 show long-term development prospects. Visualization and manual evaluation support the interpretation of the results for strategic decision making. This study shows that the use of data mining can improve efficiency and accuracy in player selection, providing a more objective data-based approach. However, this study has limitations, such as the lack of consideration of non-technical factors. With the addition of data from other sources and the use of additional algorithms, this method can be further developed to support the performance of the Indonesian National Team optimally in the future.
Co-Authors Admojo, Fadhila Tangguh Alfian, Fikri Anita Syafariah Asep Dion Nugraha Asmi, Hanatyani Nur Balango, Andrew Bambang Sugiarto Biller Pandjaitan Cecep Deni Mulyadi Darmawan, Muhammad Farhan Demsi Minar Didi Supardi Dinny Wahyu Widarti Djogo, Ony Djoko Pitoyo Dody Kusmana Faiz, Moh Imam Finny Redjeki Galih, Wening Gunawan Gunawan Gunawansyah Hendajany, Nenny Ivany Syarief Ketut Abimanyu Munastha Khalingga, Muhammad Ariq Komara, Erwan MAXSI ARY Mohd, Othman Bin Mualfah, Desti Muhammad Innuddin Nizar, Moh. Phitsa Mauliana, Phitsa Purwanto, Wisnu R. Didin Kusdian Riffa Haviani Laluma Rodiah Rodiah Roni Tabroni Sanusi, Nunung Solihin, Hanhan Hanafiah Suhanda Suhanda Suharjanta Wisnu Pitara Suharsono, Teguh Nurhadi Tata Zaenal Mutaqin Tia Sugiri Triyani Hayati Wildan Wiguna Windiawati, Ai Wulan Wisnu Wijaya Yushar Kadir