ALDI ARDIAN, NPM 2109500148 (2025) ANALISIS DAMPAK IMPLEMENTASI SISTEM INFORMASI MANAJEMEN PADA EFISIENSI PROSES BISNIS KEDAI KOPI "SAHOETA KOPI" WONOSARI MENGGUNAKAN METODE K MEANS. Tugas_Akhir(Artikel) Journal of Computer Science and Information Systems (JCoInS), 6 (3). pp. 346-358. ISSN 2747-2221(e-ISSN)
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Abstract
This study aims to perform clustering analysis on consumer data coffee shop “Sahoeta coffee” by using the method of K-Means clustering in RapidMiner Studio. The Data used include attributes of Consumer age, number of purchases per day, income per day, and capital per day. The clustering process divides the data into five different clusters, each with different characteristics in terms of purchases and revenue. The clustering results showed that Cluster 0 contained consumers with older age and more frequent shopping, while Cluster 1 contained younger consumers with lower purchases. Clusters 2, 3, and 4 show a pattern of consumers with higher incomes and capital, indicating that they have greater purchasing power. Visualization of clustering results provides a clear picture of consumer segments that can be used to design more specific marketing strategies. Keywords : K-Means Clustering, Consumer Segmentation, Data Analysis
Item Type: | Article |
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Uncontrolled Keywords: | K-Means Clustering, Consumer Segmentation, Data Analysis |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources |
Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
Depositing User: | Unnamed user with email repository@ulb.ac.id |
Date Deposited: | 09 Oct 2025 04:36 |
Last Modified: | 09 Oct 2025 04:36 |
URI: | http://repository.ulb.ac.id/id/eprint/1778 |
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