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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of International Conference Proceedings
Alexander, Vincent
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Enhancing E-Commerce Customer Segmentation with Fuzzy C-Means Soft Clustering Probabilities Putra, Muhamad Iqbal Januadi; Alexander, Vincent; Chusyairi, Ahmad; Abdurrahman, Raka Admiral; Pratama, Alexander Daniel
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10652

Abstract

Customer segmentation is of paramount importance in the e-commerce industry, enabling businesses to improve marketing strategies and customer engagement. This study compares the performance of two clustering algorithms, K-Means and Fuzzy C-Means (FCM), using Walmart’s public e-commerce dataset of 550,068 transactions. After preprocessing and normalization, the elbow method was applied to determine the optimal number of clusters, yielding seven clusters for K-Means and eight for FCM. Experimental evaluation based on the silhouette score shows that FCM achieved 0.48, outperforming K-Means which scored 0.36, indicating that FCM generated clusters with stronger cohesion and separation. However, this improvement comes at a computational cost. K-Means consistently required less than 0.02 seconds per run, while FCM averaged 0.3 seconds and peaked at 1.38 seconds when the number of clusters increased, making it approximately 20–30 times slower. Cluster distribution analysis further revealed that K-Means produced an uneven segmentation dominated by a single large cluster, whereas FCM generated a more balanced distribution across its clusters. This demonstrates the advantage of FCM in capturing overlapping and multidimensional customer behaviors through partial memberships, in contrast to the rigid and oversimplify assignments of K-Means. These findings highlight the benefit of adopting FCM for e-commerce segmentation, as it provides more interpretable and actionable insights for personalized marketing. At the same time, the trade-off between clustering quality and computation time suggests that future research should explore optimization techniques such as parallelization, approximate fuzzy clustering, or hybrid models that combine the efficiency of hard clustering with the interpretability of soft clustering.
Contemporary Perspectives on Financial Governance and Performance in Indonesia’s Diverse Institutions Pratama, Aditya Rizky; Priskila, Aliya; Simanjuntak, Andi Immanuel; Tan, Andreas; Hartanto, Andrew; Clarissa, Anastasia; Aprillia, Ayu Triana Andra; Andika, David; Priambodo, Dedy; Christabel, Felicia; Sari, Fransiska Widya; Yuwono, Giovanni P.; Yunita, Ivana; Suryanto, Kenny; William, Kenny; Widjaja, Kresensia Claudia; Prayoga, Krisna Yuda; Sin, Liem Gai; Purnomo, Purnomo; Wahyuni, Reni; Andika, Rony; Samsi, Samsi; Angeline, Sheren; Nathania, Sherlyne; Karolus, Silvester; Darma, Teddy Surya; Lestari, Vania; Alexander, Vincent; Melani, Vina; Sugiharto, Victor; Jonathan, William; Satria, Yohanes
Journal of International Conference Proceedings Vol 9, No 1 (2026): SPECIAL ISSUE BOOK CHAPTER 2026
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v9i1.4528

Abstract

Contemporary Perspectives on Financial Governance and Performance in Indonesia’s Diverse Institutions provides a timely and insightful exploration of the evolving financial landscape within Indonesia’s multifaceted institutional framework. The chapters presented in this book reflect not only academic rigor but also a strong relevance to practical challenges faced by organizations today.This compilation brings together research-driven perspectives and empirical insights that are vital for understanding how governance mechanisms influence financial performance across various sectors. By bridging theoretical foundations with real-world applications, this book offers valuable knowledge for scholars, practitioners, and decision-makers alike.As an expert in the field, I find this work a significant contribution to the discourse on financial governance in emerging economies and a commendable effort in fostering collaboration across disciplines and institutions.
Co-Authors Abdurrahman, Raka Admiral Andika, David Andika, Rony Andrew Hartanto Angeline, Sheren Aprillia, Ayu Triana Andra Christabel, Felicia Chusyairi, Ahmad Clarissa, Anastasia Darma, Teddy Surya Dedy Priambodo Karolus, Silvester Lestari, Vania Melani, Vina Nathania, Sherlyne Pratama, Aditya Rizky Pratama, Alexander Daniel Prayoga, Krisna Yuda Priskila, Aliya Purnomo Purnomo Putra, Muhamad Iqbal Januadi Samsi Samsi Sari, Fransiska Widya Satria, Yohanes Simanjuntak, Andi Immanuel Sin, Liem Gai Sugiharto, Victor Suryanto, Kenny Tan, Andreas Wahyuni, Reni Widjaja, Kresensia Claudia William Jonathan, William William, Kenny Yunita, Ivana Yuwono, Giovanni P.