PERMANA, YUSTINUS DELVIN (2022) THE ANALYSIS OF BASKETBALL ATHLETES’ POSITIONS BASED ON BODY HEIGHT USING THE DBSCAN ALGORITHM. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
Basketball is one of the most popular sports in the world. Basketball requires a proportional height and the right position to play more optimally. Therefore, a study entitled analysis of basketball athletes' position based on height was made using the DBSCAN algorithm. In this study, the DBSCAN algorithm was used to find out which players' heights were optimal in terms of points, rebounds, assists and then grouped players' positions based on their height and tasks. In determining the DBSCAN parameters, namely epsilon and minimum points, this research will use the elbow method, and then the silhouette score and then The data to be retrieved is from Kaggle's Website. 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.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 22 Mar 2022 04:53 |
| Last Modified: | 22 Mar 2022 04:53 |
| URI: | http://repository.unika.ac.id/id/eprint/28247 |
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