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Syahputra, Ronaldo
STMIK Indonesia Padang
Computer Science & IT

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Analisa Tingkat Prestasi Atlet Karate Sumatera Barat Menggunakan Algoritma Data Mining Syahputra, Ronaldo; Safitri, Wifra
Indonesian Journal of Computer Science Vol. 7 No. 2 (2018): Oktober 2018
Publisher : STMIK Indonesia Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.941 KB) | DOI: 10.33022/ijcs.v7i2.93

Abstract

The Karate sport is a kind of sport that is quite popular today. All regions in Indonesia are racing to improve the performance of their karate athletes. Various developments were carried out to be able to improve karate sports achievements. This research will later be used as a benchmark for developing and realizing good sports performance, especially in the karate by using the concept of data mining. To apply the concept of Data Mining, one way that can be done is to implement the C4.5 algorithm. C4.5 algorithm or also called decision tree algorithm, is a very strong and well-known classification and prediction method. The application of the concept of data mining with C4.5 algorithm is done by analyzing what factors support the achievement of karate sports. After that, the C4.5 algorithm is calculated to find out what is the most decisive factor in the development of karate sports achievements. This aims to maximize the role of these achievement supporting factors. The results of this study are expected to provide great benefits for the development and improvement of the achievements of karate athletes in West Sumatra.
Co-Authors Safitri, Wifra