Prediction Competition Result of Indonesian Football Club with C.45 Algorithm

Abstract

Indonesia is a country that is very fond of soccer
sport, according to Gojek-Traveloka League data there are an
average of 13,423 spectators watching every game. With a sizeable
audience and a fairly regular schedule of matches by clubs and
leagues in Indonesia. It makes predictions interesting because it
will provide an overview and direction of support for the
competing club. In some studies relating to predictions and
decisions recommending the use of excessive C4.5 methods or
algorithms, such as the C4.5 algorithm can produce decision trees
that are easy to interpret, have an acceptable level of accuracy,
efficient in dealing with discrete type attributes and can handle
attribute of discrete and numeric type. So based on the
explanation, this research will discuss about the prediction of
Indonesian football club match using C4.5 method based on game
history that has been done before. The purpose of this research is
to know how far C4.5 method can be applied in predicting soccer
match. The results of this study indicate that the C4.5 algorithm
can be implemented in predictions of the results of the game
proved with a fairly good accuracy of 63.04%.