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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Electro Luceat Insect (Informatics and Security) : Jurnal Teknik Informatika bit-Tech Cendekia : Jurnal Pengabdian Masyarakat JTIK (Jurnal Teknik Informatika Kaputama) Jurnal of Applied Multimedia and Networking Prosiding Conference on Research and Community Services JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer JISCOMP (Journal of Information System and Computer)
Utomo, Yudo Bismo
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Insect (Informatics and Security) : Jurnal Teknik Informatika

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Sistem Pendukung Keputusan Seleksi Pemain Futsal dengan Menggunakan Metode Naive Bayes Anam, Moh. Syaiful; Utomo, Yudo Bismo; Kurniadi, Harso
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 1 (2025): Maret 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i1.4240

Abstract

Futsal is a sport that has a high level of competition, both at national and international levels. The success of a futsal team depends on the quality of the players selected, so player selection is an important aspect in building a competitive team. Player selection is usually based on the coach's experience, which can be subjective and less systematically measurable. Therefore, a more objective and accurate method is needed in the futsal player selection process. This study develops a Decision Support System (DSS) that aims to select futsal players using the naïve bayes method. This method is used because of its ability to perform probabilistic-based classification, which can help in assessing player eligibility based on several criteria. The parameters analyzed include technical skills, speed, endurance, passing accuracy, and other physical aspects. The results obtained from the calculation using the system with the naïve bayes method reached 90% with details of 9 appropriate results and 1 inappropriate result.
Co-Authors Achmad Arif Alfin Aeri Rachmad Alfin, Ach Arif Anam, Moh. Syaiful Ardiansyah, Muhammad Riko Arianto, Bagus Arif, Achmad Arifin, Muhammad Miftakhul Diana Ambarwati Efi Rokana Evasari, Aprilia Dian Halimahtus Mukminna, Halimahtus Hidayatulloh, Moh. Yusuf Iska Yanuartanti Kurniadi, Harso Kurniasari, Iin Lestari, Amalia Ita Mahendra, Brian Abimayu Ni’amillah, Ahmad Nonok Supartini Nurkholis, Afif Pradipta, Dody Rahayu, Putri Nur Riska Nurtantyo Sarbini Rizky Arief Shobirin Setiono, Nur Syahad Syaiful Anam Taufikurrohman, Aula Ilyas yanti, dama