PEMANFAATAN ALGORITMA K-MEANS CLUSTERING PADA SISTEM RENTAL MOBIL PADA PT. STATION ARMADA INDONESIA
| dc.contributor.author | Maesaroh, Sri Wulandari | |
| dc.date.accessioned | 2025-05-07 | |
| dc.date.available | 2025-05-07 | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://hostjournals.com/bulletincsr/article/view/494 | |
| dc.description.abstract | PT. Station Armada Indonesia is a company engaged in car rental services. With so many types of car choices on offer, it is not uncommon for many customers to feel confused about choosing which type of car suits their needs. This kind of problem is often experienced by customers who are confused by the many choices of car types available. In this research, the k-means algorithm is used to group cars based on several attributes. The k-means algorithm can be used to group car type data to help provide recommendations for selecting a car type. Key word: Data Mining, Clustering, K-Means, Car Rental, Rapidminer | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universitas Harapan Medan | en_US |
| dc.subject | ALGORITMA K-MEANS | en_US |
| dc.title | PEMANFAATAN ALGORITMA K-MEANS CLUSTERING PADA SISTEM RENTAL MOBIL PADA PT. STATION ARMADA INDONESIA | en_US |
| dc.type | Skripsi | en_US |
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