Open AccessA selection system for the position ideal of football players based on the AHP and TOPSIS methods
Author(s) -
Devie Rosa Anamisa,
Yeni Kustiyahningsih,
Muhammad Yusuf,
Eka Mala Sari Rochman,
Sigit Susanto Putro,
Moh Syakur,
A S Bakti
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1125/1/012044
Subject(s) - topsis , analytic hierarchy process , football , ideal solution , selection (genetic algorithm) , consistency (knowledge bases) , computer science , ideal (ethics) , operations research , position (finance) , artificial intelligence , mathematics , economics , philosophy , physics , epistemology , political science , law , thermodynamics , finance
Football is a fun, attractive, entertaining sport and provides satisfaction for the audience. However, Madura United, Indonesia, still not in good condition as the selection of the right players requires a long time. Several studies have overcome many of these problems using decision support systems. however, it has not reached good results. Therefore, this research develops a system using the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The contribution of this research is to create a new framework by integrating AHP and TOPSIS methods with controlling iteration of consistency ratios, and automatic assessment of coaches for the right players’ selection in each position with to make comparison matrices in each criterion. So, a selection system can be supported to make a correct decision in selecting the right players for the team. The test results obtained the accuracy reached an average of 83.9% out of the four trials of the forwards, midfielders, defenders, and goalkeepers. In summary, the test results show the effectiveness of AHP and TOPSIS methods in supporting the decision to select the right football players.