Selection of talented archery athletes using weighted product method

Abstract

Many talented archers come from Indonesia. They all want to participate in ASIAN-GAMES, SEA-GAMES, or the Olympics. Sometimes, the coach needs to choose the most talented athlete who will take part in the competition. Each athlete has several different advantages and its uniqueness. Based on the reason for the coach’s difficulties, we built a decision support system that can help coaches choose talented archer athletes. It is based on information technology. The method that has the simplest complexity and the fastest computing time is the Weighted Product Method. The parameters/criteria used in the selection of talented archery athletes include mentality, flexibility, endurance, equipment, and technique. The Decision Support Systems are made with the Delphi Programming Language while storing databases using MySQL. We tested the Decision Support System that was built using the Black Box method. Based on the results of the BlackBox test, the Decision Support System for talented Archery Athletes Selection using Weighted Product (WP) Method has a success percentage of 100%.