FP Growth for Badminton Player Scouting Analysis
Luki Ardiantoro, Nani Sunarmi, Soffa Zahara
Universitas Islam Majapahit, Mojokerto
Abstract
FP-Growth algorithm is widely used to analyze pattern from huge amount of data with (frequent) repeated items. Objective of this research is to analyze playing pattern a badminton player, one of a popular sport in Indonesia. Data set is generated from technical stroke during the game. The model used in this study was Jonathan Christie a top Indonesian badminton player. The method of data collection is done by dividing the playing field in various areas of the game, because each stroke is suitable to be done in a particular area. Observations are made by using the software, to calculate and classify the types of stroke that carried out by athlete. Result of this research; tactical approach for Jonathan Christie during this match was described. The data obtained will be very useful for the coach to improve the athletes performance. Another advantage obtained is the analysis of athletes performance can be done with a quantitative approach, so that it can enrich the current methods. The conclusion, FP-Growth is able to describe the game pattern of a badminton athlete.
Keywords: FP-Growth, badminton, game pattern.
Topic: Computer Science and Engineering