Clustering of Futsal Interest Level Among Students K-Means Method

Faris Bagaswara, Muchlis Abd Muthalib, Rini Meiyanti

Abstract


Futsal is a small field sport with a time of 20 minutes per round. Malikussaleh University is one of the universities that initiated Futsal as a health sport for its students. To determine students' interest in Futsal, clustering was carried out using the K-Means method on 100 students of the Faculty of Engineering involved in this study. This research proposal uses five variables: time variables, field facilities, motivation, environment, and plans. This study aims to help students at Malikussaleh University of Engineering find out what level of interest students have in Futsal. Grouping is based on data mining to determine the pattern of each sequence. Data mining includes tracking patterns, classification, association, outlier detection, clustering, regression, and forecasting. This study also led to an innovative grouping system using the Python programming language and MySQL as a database. The K-Means Clustering algorithm used in this grouping system states that out of 100 Malikussaleh University students, 20 people are students who have a professional player futsal interest level (C1), 28 students have a regular player futsal interest level (C2), five students have a Beginner player futsal interest level (C3), 47 students have an amateur player futsal interest level (C4). The study results showed that 20% were professional, 28% were regular, 5% were beginner, and 47% were amateur players. These results indicate that the interest in Futsal for Malikussaleh University students is still minimal, so encouragement is needed for students to participate in futsal activities.


Keywords


Clustering, Futsal interest, Students, K-Means Method

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Nandang Iriadi, Lutfi Setioningtias, Priatno Priatno., “Implementasi Data Mining Pada Klasifikasi Ketidakhadiran Pegawai Menggunakan Metode C4. 5”, Comput. Sci., vol. 1, nr. 25, pp. 53–61, 2021.

S. Seimahuira, “Berdasarkan Online Reviews Tripadvisor Menggunakan”, vol. 12, nr. 1, pp. 53–58, 2021.

James C Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. 1981.

James C Bezdek, Robert Ehrlich, William Full., “FCM: The fuzzy c-means clustering algorithm”, Comput. Geosci., vol. 10, nr. 2–3, pp. 191–203, 1084, [Online]. Beschikbaar op: https://doi.org/10.1016/0098-3004(84)90020-7

A Muh. Ismail, “Analisis Minat pada Kegiatan Ekstrakurikuler Futsal SNA Negeri 8 Maros”, in Skripsi, Makasar, 2020, p. 18. [Online]. Beschikbaar op: http://eprints.unm.ac.id/id/eprint/18133

Atang Supriatna, William Dharmawan, Christina Juliane., “Algoritma K-Means Clustering Pada Pengelompokan Minat Bakat Siswa SMK PGRI 2 Karawang”, J. Tek. Inform. Dan Sist. Inf., vol. 10, nr. 1, pp. 38–50, 2023.

Mardiansa, Herlina Latifa Sari, Prahasti., “Penerapan Data Mining Untuk Mengetahui Minat Siswa Pada Pelajaran IPA Mengunakan Metode K-Means Clustering”, Multi Disiplin Dehasen (MUDE), vol. 2, nr. 4, pp. 693–702, 2023.

Maria Dolores Reina Paz and Juan Carlos Rodriguez Vargas, "Main theoretical consumer behavioral models. A review from 1935 to 2021", Heliyon, vol. 9, nr. 3, p. 51, 2023, [Online]. Beschikbaar op: https://doi.org/10.1016/j.heliyon.2023.e13895

Ryan Salviany Grova, Mohammad Zaky. Ahmad Hamidi., “KORELASI ANTARA KEPERCAYAAN DIRI DAN PERFORMA PUNCAK PADA ATLET FUTSAL PROFESIONAL”, Jurnla Olahraga dan Kesehat. Indones., vol. 4, nr. 2, pp. 148–158, 2024, [Online]. Beschikbaar op: https://jurnal.stokbinaguna.ac.id/index.php/JOK

A. K. Wahyudi, N. Azizah, en H. Saputro, “Data Mining Klasifikasi Kepribadian Siswa Smp Negeri 5 Jepara Menggunakan Metode Decision Tree Algoritma C4.5”, J. Inf. Syst. Comput., vol. 2, nr. 2, pp. 8–13, 2022.

P. M. S. Tarigan, J. T. Hardinata, H. Qurniawan, M. Safii, en R. Winanjaya, “Implementasi Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Persediaan Barang”, J. Janitra Inform. dan Sist. Inf., vol. 2, nr. 1, pp. 9–19, 2022, doi: 10.25008/janitra.v2i1.142.

Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Guido Caldarelli, Paolo Cintia, Stefano Cresci, Angelo Facchini, Fosca Giannotti, Aristides Gionis, Riccardo Guidotti, Michael Mathioudakis, Cristina Ioana Muntean, Luca Pappalardo, Dino Pedreschi, Ev, “Big Data and the transformation of the city”, Int. J. Data Sci. Anal., vol. 11, pp. 311–340, 2021.

Jaap Beltman, Marcos R Machado, Joerg R Ostrerrieder., “Predicting retail customers’ distress in the finance industry: An early warning system approach”, J. Retail. Consum. Serv., vol. 82, pp. 1–17, 2025, [Online]. Beschikbaar op: https://doi.org/10.1016/j.jretconser.2024.104101

Jose Alejandro Cano, Abraham Allec Londono-Pineda, Emiro Antonio Campo, Sergio August Fernandez., “Sustainable business models of e-marketplaces: An analysis from the consumer perspective”, J. Open Innov. Technol. Mark. Complex., vol. 9, nr. 3, pp. 1–18, 2023, [Online]. Beschikbaar op: https://doi.org/10.1016/j.joitmc.2023.100121

Kamal Malik, Harsh Sadawarti, Gursharanjeet Singh Kalra., “Comparative Analysis of Outlier Detection Techniques”, Int. J. Comput. Appl., vol. 97, nr. 8, pp. 12–21, 2014, [Online]. Beschikbaar op: http://dx.doi.org/10.5120/17026-7318

R. Kurniawan en R. Dewi, “Penerapan Algoritma K-Means Clustering Dalam Persentase Merokok Pada Penduduk Umur Di Atas 15 Tahun Menurut Provinsi”, J. Sist. Komput. Dan Inform. Hal, vol. 2, nr. 2, pp. 178–186, 2021, doi: 10.30865/json.v2i2.2770.

Caroline X. Gao, Dominic Dwyer, Ye Zhu, Catherine L. Smith, Lan Du, Kate M. Filia, Johanna Bayer, Jana M. Menssink, Teresa Wang, Christoph Bergmeir, Stephen Wood, Sue M. Cotton., “An overview of clustering methods with guidelines for application in mental health research”, Psychiatry Res., vol. 327, pp. 1–28, 2023, [Online]. Beschikbaar op: https://doi.org/10.1016/j.psychres.2023.115265

Siegfried M Rump, “Verified bounds for the determinant of real or complex point or interval matrices”, J. Comput. Appl. Math., vol. 372, pp. 1–10, 2020, [Online]. Beschikbaar op: https://doi.org/10.1016/j.cam.2019.112610

Paula Kivimaa, Wouter Boon, Sampsa Hyysalo, Laurens Klerkx., “Towards a typology of intermediaries in sustainability transitions: A systematic review and a research agenda”, Res. Policy, vol. 48, nr. 4, pp. 1062–1075, 2019, [Online]. Beschikbaar op: https://doi.org/10.1016/j.respol.2018.10.006

Angeli Dwiyanti Nur’azizah and Zaehol Fatah, “Implementasi Algoritma K-Means Clustering Untuk Perokok Usia Di Atas 15 Tahun”, Hudang J. Multidsiplin Ilmu, vol. 2, nr. 10, pp. 133–139, 2024.

L. Fimawahib en E. Rouza, “Penerapan K-Means Clustering pada Penentuan Jenis Pembelajaran di Universitas Pasir Pengaraian”, INOVTEK Polbeng - Seri Inform., vol. 6, nr. 2, p. 234, 2021, doi: 10.35314/isi.v6i2.2096.

G. S. Nugraha en H. Hairani, “Aplikasi Pemetaan Kualitas Pendidikan di Indonesia Menggunakan Metode K-Means”, J. MATRIK, vol. 17, nr. 2, pp. 13–23, 2018, doi: 10.30812/matrik.v17i2.84.

Amri Muliawan Nur,Muhammad Saiful, Hariman Bahtiar, Muhammad Taufik Hidayat., “Penerapan Algoritma K-Means Clustering Dalam Mengelompokkan Smartphone Yang Rekomendasi Berdasarkan Spesifikasi”, infotek J. Inform. dan Teknol., vol. 7, nr. 2, pp. 478–488, 2024.

D. A. Nasution, H. H. Khotimah, en N. Chamidah, “Perbandingan Normalisasi Data untuk Klasifikasi Wine Menggunakan Algoritma K-NN”, Comput. Eng. Sci. Syst. J., vol. 4, nr. 1, p. 78, 2019, doi: 10.24114/cess.v4i1.11458.

J. A. S. Siregar en K. Handoko, “pengembangan sistem presensi karyawan dengan teknologi GPS berbasis web”, J. Comasie, vol. 6, nr. 2, p. 3, 2021.

A. A. Rizal e.a., “Peningkatan Efektifitas Programming Dengan Pelatihan Python for Data Science Bagi Komunitas Programming Pondok Pesantren”, J. Pengabdi. Masy., vol. 1, nr. 1, pp. 13–19, 2021.

Deni Arsandi, Novita br Ginting, Dewi Primasari., “Web-Based Lecturer Performance Selection Information System Using Weighted Product (WP) Method”, J. Mantik, vol. 5, nr. 2, pp. 615–619, 2021, [Online]. Beschikbaar op: http://www.iocscience.org/ejournal/index.php/mantik/index

B Budiman, “Perbandingan Algoritma dan Penerapannya”, Nuansa Inform., vol. 15, nr. 2, pp. 37–52, 2021.

H. W. Pramana, “Rancang Bangun Aplikasi Fitness Berbasis Android (Studi Kasus : Popeye Gym Suwaan)”, E-journal Tek. Inform., vol. 1, nr. 2, pp. 1–10, 2020.

Rizky Dwi Kurniawan, Yudie Irawan, Arif Setiawan, Noor Latifah., “Perancangan Sistem Informasi Pelayanan Pada Laboratorium Klinik Prima Medika Kudus Berbasis Web Menggunakan UML (Unified Modeling Language)”, J. Sist. Inform. dan Teknol., vol. Edisi Khus, pp. 27–34, 2024.

Mohamad Sugeng Pangestu dan Maulida Ayu Fitriani, “Perbandingan Perhitungan Jarak Euclidean Distance, Manhattan Distance, dan Cosine Similarity dalam Pengelompokan Data Bibit Padi Menggunakan Algoritma K-Means”, Sainteks, vol. 19, nr. 2, pp. 141–155, 2022.




DOI: https://doi.org/10.52088/ijesty.v5i3.879

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International Journal of Engineering, Science and Information Technology (IJESTY) eISSN 2775-2674