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All Journal Journal of Software Engineering and Information System (SEIS)
Auralia Rilda, Azzahra
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Journal : Journal of Software Engineering and Information System (SEIS)

 1 
ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PERILAKU CUSTOMER Mukhtar, Harun; Dwi Pramaditya, Ilham; Saputra Weisdiyanto, Wahyu; Hardian_Putra, Saddam; Trimuawasih, Diana; Auralia Rilda, Azzahra
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.7615

Abstract

In the rapidly evolving digital era, understanding customer purchasing behavior is crucial for marketing strategies and business development. This study uses the K-means clustering algorithm to analyze and segment customer purchasing behavior. This algorithm effectively partitions data into groups based on similar characteristics. The aim of this study is to identify purchasing behavior patterns using attributes such as purchase frequency, expenditure amount, and product types. By segmenting customers into homogeneous groups, companies can design more effective marketing strategies and better personalization. The results show that the K-means clustering method successfully segments customers based on similar behavior patterns, which can be used for market segmentation and strategy development. The application of this algorithm in purchasing behavior analysis is expected to provide deep insights and support better business decision-making, offering a competitive advantage for companies.
Co-Authors Dwi Pramaditya, Ilham Hardian_Putra, Saddam Harun Mukhtar Saputra Weisdiyanto, Wahyu Trimuawasih, Diana