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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Danie Abdillah Iskandar
Universitas Kristen Satya Wacana
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Analisis Perubahan Segmentasi Konsumen secara Longitudinal Menggunakan Time-Based Clustering pada Data Produk NVIDIA: Studi Kasus Data Shopee Danie Abdillah Iskandar; Alz Danny Wowor
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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.v7i3.1990

Abstract

This study analyzes longitudinal changes in consumer segmentation on Nvidia product data using time-based clustering method. With the increasing demand for Nvidia products in the global market, particularly for gaming GPUs and AI applications, understanding changes in consumer behavior over time becomes crucial for marketing strategy. The research utilizes Nvidia consumer transaction data spanning 5 years (2021-2025) with RFM-T (Recency, Frequency, Monetary, Time) approach enriched with Interpurchase Time (IPT). The clustering method employed is K-Means algorithm with validation using silhouette score, Davis-Bouldin index, and Calinski-Harabasz index. The research results indicate the formation of 4 main consumer segments experiencing dynamic changes: (1) Loyal AI Enthusiasts, (2) Gaming Power Users, (3) Potential Upgraders, and (4) Churn Risk Customers. This longitudinal segmentation reveals a pattern of shift from gaming-centric to AI-centric preferences alongside AI technology development. This study contributes to the development of more targeted CRM strategies and retention strategies for technology hardware companies.
Co-Authors Alz Danny Wowor