Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies
Customer churn, or the loss of banking clients, represents a major challenge in the banking industry due to its potential to cause significant financial losses. This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in...
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| Main Authors: | , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Islamic University of Indragiri
2025-07-01
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| Series: | Sistemasi: Jurnal Sistem Informasi |
| Subjects: | |
| Online Access: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5341 |
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