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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Sinkron : Jurnal dan Penelitian Teknik Informatika Data Science: Journal of Computing and Applied Informatics Journal of Information Systems and Informatics JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer dan Informatika (JSON)
Mohammad Andri Budiman
Jurusan Ilmu Komputer Fakultas Ilmu Komputer Dan Teknologi Informasi, USU
Computer Science & IT Control & Systems Engineering

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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Segmentasi Nasabah Bank Pada Data Campuran Menggunakan K-Means Clustering W, Joceline Schellenberg; Budiman, Mohammad Andri; Amalia, Amalia
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 3 (2025): Maret 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i3.8532

Abstract

In order to increase the extension of the use of Local Government Banks’s services, customer segmentation is crucial for banks to develop marketing strategies tailored to specific customer groups. While the RFM model is commonly used, enhancing service usage expansion requires data on customer transaction preferences, which are typically categorical in nature. Therefore, this study segments bank customers based on their transaction history, utilizing not only numerical data but also categorical data representing transaction preferences using K-Means Clustering. The clustering model effectively groups customers into four clusters with distinct characteristics
Co-Authors Amalia Amalia Amer Sharif, Amer Budi Satria Muchlis, Budi Satria Dhea Fithaloka Dian Rachmawati Dian Rachmawati Efendi, Syahril Erna Budhiarti Nababan Ginting, Cindy Laurent Handrizal Hidayati, Indri Karina Lolo Manik Muhammad Safri Lubis Muhammad Yogi Saputra Muhammad Zarlis Muhammad Zarlis, Muhammad Nur Hayati Santoso, Zikri Akmal Sarumaha, Demonius Sawaluddin Nasution Sitopu, Widya Astuti W, Joceline Schellenberg Zega, Imanuel