THE ANALYSIS OF BASKETBALL ATHLETES’ POSITIONS BASED ON BODY HEIGHT USING THE DBSCAN ALGORITHM

Basketball is one of the most popular sports in the world. In basketball, a proportional height is very important to play optimally. Therefore, the analysis of basketball athletes' positions based on height was made using the DBSCAN algorithm. The DBSCAN parameters in the form of epsilon and minimum points in this study were determined using the elbow method and silhouette which turned out to be unsatisfactory results from the elbow method due to data problems. Comparing the silhouette score with epsilon is an alternative to the elbow method that has been tried and the result is an epsilon of 2.54 while the other parameter, namely the minimum points used is 4 because in processing the data in this study, it is divided into 3 times, each of which has a data dimension of 2. The final result can be obtained well if not using the theory elbow method even though the performance is reduced but the results can be read well.

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Publication Details

Journal
Proxies Jurnal Informatika
Published
2024-08-29
DOI
https://doi.org/10.24167/proxies.v5i2.12450
Primary Topic
Sports and Physical Education Research
Type
article
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article

THE ANALYSIS OF BASKETBALL ATHLETES’ POSITIONS BASED ON BODY HEIGHT USING THE DBSCAN ALGORITHM

Yustinus Delvin Permana, Rosita Herawati
Proxies Jurnal Informatika
Sports and Physical Education Research
article

THE ANALYSIS OF BASKETBALL ATHLETES’ POSITIONS BASED ON BODY HEIGHT USING THE DBSCAN ALGORITHM

Yustinus Delvin Permana, Rosita Herawati
article en

Abstract

Basketball is one of the most popular sports in the world. In basketball, a proportional height is very important to play optimally. Therefore, the analysis of basketball athletes' positions based on height was made using the DBSCAN algorithm. The DBSCAN parameters in the form of epsilon and minimum points in this study were determined using the elbow method and silhouette which turned out to be unsatisfactory results from the elbow method due to data problems. Comparing the silhouette score with epsilon is an alternative to the elbow method that has been tried and the result is an epsilon of 2.54 while the other parameter, namely the minimum points used is 4 because in processing the data in this study, it is divided into 3 times, each of which has a data dimension of 2. The final result can be obtained well if not using the theory elbow method even though the performance is reduced but the results can be read well.

Proxies Jurnal InformatikaVol. 5(2)
Soegijapranata Catholic University (ID)
Openalex Percentile: Top 74%
Sports and Physical Education Research
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