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All Journal Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK)
Liza Sania Khulatus Syafaah
Faculty of Computer Science, Universitas Pamulang
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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E-Commerce Activity Clustering Based on Online Shopping and Income per Capita in Indonesian Cities Tri Prasetyo; Pandu Wiliantoro; Aldi Feridanto; Iqbal Julyansyah; Liza Sania Khulatus Syafaah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 2 (2026): JAFOTIK - August
Publisher : Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i2.144

Abstract

The rapid growth of digital technology and internet penetration has contributed to the expansion of e-commerce activity across cities and regencies in Indonesia. However, the intensity of online shopping does not necessarily correspond directly to regional income per capita. This study aims to examine the relationship between online shopping activity and income per capita and to classify Indonesian cities and regencies based on these characteristics using the K-Means Clustering algorithm. This research employs a quantitative approach with a descriptive-exploratory design. Secondary data were collected from statistical and e-commerce sources and processed through data cleaning, transformation, and normalization. The K-Means Clustering algorithm was subsequently applied to group regions according to their levels of online shopping activity and income per capita. The Elbow Method was used to determine the optimal number of clusters. The results identified three clusters with distinct levels of e-commerce activity. Cluster 0 represented regions with the highest level of activity, followed by Cluster 1 and Cluster 2. Several regions demonstrated relatively high levels of e-commerce activity, including Papua, Central Java, West Java, Riau, and DKI Jakarta. These findings provide a regional overview of e-commerce activity and income characteristics that can support digital business strategies and contribute to the development of more inclusive and equitable digital economic policies.
Co-Authors Aldi Feridanto Iqbal Julyansyah Pandu Wiliantoro Tri Prasetyo