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Nadhilah Syafitri
Universitas Muhammadiyah Sumatera Utara
Computer Science & IT Library & Information Science

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Analisis Potensi Customer Churn Menggunakan Algoritma Decision Tree (C4.5) Pada Indibiz Telkom Regional I Nadhilah Syafitri; Rizaldy Khair
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.357

Abstract

This study analyzes the potential for customer churn among Indibiz Telkom Regional I business customers by implementing the Decision Tree C4.5 algorithm. The primary issue addressed is the high risk of losing business customers, which impacts revenue stability. This research develops an automated classification system utilizing customer behavior attributes such as payment status, total tickets, and total complaints. The research methodology includes data collection, preprocessing, calculating entropy and information gain, and constructing a decision tree. The results reveal that the "total ticket" attribute has the highest gain ratio, indicating that the frequency of service disruptions is the most dominant factor in triggering churn. Testing of the developed web-based system demonstrated an accuracy rate of 68% in classifying customers into churn and non-churn categories. The implementation of the C4.5 algorithm proves effective in mapping customer behavior patterns and serves as a decision support instrument for management to determine more targeted customer retention strategies.
Co-Authors Rizaldy Khair