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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Mado, Priscianus Mikael Kia
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Implementasi Algoritma Clustering K-Means untuk Segmentasi Pelanggan di E-Commerce Mado, Priscianus Mikael Kia; Hendry, Hendry
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1563

Abstract

In the increasingly advanced digital era, competition in the e-commerce world requires companies to understand customer behavior in depth in order to maintain loyalty and increase sales. This study aims to segment e-commerce customers by applying the K-means clustering algorithm using RFM (Recency, Frequency, Monetary) analysis. Customer transaction data is processed through pre-processing stages such as data cleaning and normalization, then the K-means algorithm is applied to group customers into homogeneous segments based on their purchasing behavior characteristics. Optimal grouping is obtained using the Silhouette Score evaluation metric, resulting in three main customer segments. The results of this segmentation can help companies design more effective and focused marketing strategies according to the needs of each customer segment.
Co-Authors Hendry