PENERAPAN ALGORITMA GENETIKA UNTUK PROYEKSI POIN PEMAIN PADA FANTASY PREMIER LEAGUE; IMPLEMENTATION OF GENETIC ALGORITHM FOR PLAYER POINTS PROJECTIONS IN FANTASY PREMIER LEAGUE
Prakosa, Himawan Adi, Faizah
2015 | Skripsi | FMIPA UGMFantasy Premier League (FPL) is an official game organized by The Football Association, the England football associations, as promotion of the Premier League. FPL is played by selecting the 15 football players who play in the Premier League on a weekly basis with certain rules, to maximize the points according to their contribution to the actual game in the Premier League. In this game, the manager of FPL tested their ability of analysis in determining the players who are expected to reach the high points in every game. Genetic algorithm is one method of soft computing are often used in making projections. In this research, the genetic algorithm is used to project the FPL player points, and then compared the accuracy with methods that already exist. Fitness function used is the mean squared error of multiple linear regression modeling. There are three factors that are modeled as linear regression: the level of difficulty of the game, the average points of FPL player in the last 30 days, and the average rating of FPL player in the last 30 days. The FPL projection points with the implementation of a genetic algorithm, when compared with the results of the FPL projection points of Fix Points Projections, Rate My Team, and Player Point Forecast tools, is third with MSE = 12,25957.
Kata Kunci : Fantasy Premier League; Genetic Algorithm; Linear Regression; Projection Points
