IMPLEMENTASI K-MEANS DALAM MENENTUKAN TINGKAT KEPUASAN PELANGGAN PADA BENGKEL RIZAL RANTAUPRAPAT

KHIARUL AKTTYAR RAMBEY, NPM 2109100041 (2025) IMPLEMENTASI K-MEANS DALAM MENENTUKAN TINGKAT KEPUASAN PELANGGAN PADA BENGKEL RIZAL RANTAUPRAPAT. Tugas_Akhir(Artikel) Journal of Computer Science and Information Systems (JCoInS), 6 (3). pp. 274-284. ISSN 2747-2221 (e-ISSN)

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Abstract

The growing automotive industry demands workshops to improve the quality of service for customer satisfaction. However, manual measurement of satisfaction is often inefficient and subjective. This study proposes the application of machine learning algorithms K-Means Clustering to analyze customer satisfaction data in Rizal workshop. This method is used to Group customers into several clusters based on similar satisfaction characteristics. The results of this grouping are expected to provide more objective and in-depth insights to identify patterns of satisfaction, thus enabling the workshop to formulate a more effective and targeted service quality improvement strategy. Keywords : Customer Satisfaction, K-Means Clustering, Automotive Repair Shops, Data Clustering

Item Type:	Article
Uncontrolled Keywords:	Customer Satisfaction, K-Means Clustering, Automotive Repair Shops, Data Clustering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	23 Dec 2025 09:14
Last Modified:	23 Dec 2025 09:14
URI:	http://repository.ulb.ac.id/id/eprint/2048

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