Open AccessAnalisa Tingkat Prestasi Atlet Karate Sumatera Barat Menggunakan Algoritma Data Mining
Author(s) -
Ronaldo Syahputra,
Wifra Safitri
Publication year - 2018
Publication title -
indonesian journal of computer science/indonesian journal of computer science
Language(s) - English
Resource type - Journals
eISSN - 2549-7286
pISSN - 2302-4364
DOI - 10.33022/ijcs.v7i2.93
Subject(s) - athletes , benchmark (surveying) , decision tree , computer science , data mining , artificial intelligence , machine learning , geography , medicine , physical therapy , geodesy
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.