C4.5 Algorithm in Pencak Silat Athlete Competition Category Classification
DOI:
https://doi.org/10.29407/noe.v8i02.25715Keywords:
C4.5 Algorithm, classification, decision tree, Match CategoryAbstract
This study aims to classify martial arts athletes from the Perguruan Silat Nasional Perisai Putih in Kediri District using the C4.5 algorithm and the Decision Tree method. The data used in this study include the athletes' physical, technical, and mental conditions, which will serve as variables for classifying them into match categories. The research process involves the stages of data collection, processing, applying the C4.5 algorithm, and evaluating the classification model. The results showed that the C4.5 algorithm could interpret important classification factors. The resulting classification model is 64% accurate, showing that the C4.5 algorithm effectively predicts martial arts athlete match categories. The study classified four athletes in the sparring category, one athlete in single art, two double art athletes, and two team art athletes in 2024. These results are expected to help coaches determine match categories and inform decisions about which athletes to select for the pencak silat competition.
References
Asri, Y. (2023). ALGORITMA C4.5 : KLASIFIKASI TITIK DAN JENIS GANGGUAN PADA JARINGAN DISTRIBUSI PENYULANG. Uwais Inspirasi Indonesia.
Ferri Hendryanto, S.Pd., M.Pd, Siska, S.Si., M. P., & Dr. Ardo Yulpiko Putra, M. K. (2025). PENCAK SILAT DASAR: Seni Bela Diri (A. Fathul Qohar & A. Fathur Rohman (eds.)). PT. Penerbit Qriset Indonesia.
Hafizan, H., & Putri, A. N. (2020). Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen), 1(2), 68–72. https://doi.org/10.30645/kesatria.v1i2.23
Indah Puspitorini, I. D. S. (2021). Penerapan Data Mining Untuk Klasifikasi Prediksi Produk Jenis Makanan Kucing Yang Sesuai Kebutuhan Dengan Algoritma Decision Tree. AKRAB JUARA, 6(17), 399–405.
Maulidah, M., Windu Gata, Rizki Aulianita, & Cucu Ika Agustyaningrum. (2020). Algoritma Klasifikasi Decision Tree Untuk Rekomendasi Buku Berdasarkan Kategori Buku. E-Bisnis : Jurnal Ilmiah Ekonomi Dan Bisnis, 13(2), 89–96. https://doi.org/10.51903/e-bisnis.v13i2.251
Pangestu, D. S., Nilogiri, A., & Arifianto, D. (2021). Klasifikasi Kategori Pertandingan Atlet Silat Perisai Diri Menggunakan Metode Gaussian Naïve Bayes Berbasis WEB. JASIE “Jurnal Aplikasi Sistem Informasi Dan Elektronika,” 3(1), 1–13.
Pipit Muliyah, Dyah Aminatun, Sukma Septian Nasution, Tommy Hastomo, Setiana Sri Wahyuni Sitepu, T. (2020). PENERAPAN DATA MINING UNTUK KLASIFIKASI PREDIKSI PRODUK JENIS MAKANAN KUCING YANG SESUAI KEBUTUHAN DENGAN ALGORITMA DECISION TREE. In Journal GEEJ (Vol. 7, Issue 2).
Pratiwi, B. P., Handayani, A. S., & Sarjana, S. (2021). Pengukuran Kinerja Sistem Kualitas Udara Dengan Teknologi Wsn Menggunakan Confusion Matrix. Jurnal Informatika Upgris, 6(2), 66–75. https://doi.org/10.26877/jiu.v6i2.6552
Qisthiano, M. R., Prayesy, P. A., & Ruswita, I. (2023). Penerapan Algoritma Decision Tree dalam Klasifikasi Data Prediksi Kelulusan Mahasiswa. G-Tech: Jurnal Teknologi Terapan, 7(1), 21–28. https://doi.org/10.33379/gtech.v7i1.1850
Seta Permana, Woro Isti Rahayu, R. N. S. F. (2020). Implementasi Algoritma C4.5 Dalam Penentuan Penerima Bonus Tahunan Pegawai. Kreatif.
Sudiana, I. K., & Sepyanawati, N. L. P. (2017). Keterampilan Dasar Pencak Silat. Raja Grafindo Persada.
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