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All Journal Koneksi Journal of Information Systems and Informatics Annals of Management and Organization Research PRIMA : Portal Riset dan Inovasi Pengabdian Masyarakat Journal of Sustainable Community Service International Journal of Application on Economics and Business Jurnal Pengabdian Masyarakat Sultan Indonesia
Fernando, Luis
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Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Veterinary

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Journal : Journal of Information Systems and Informatics

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Optimizing Motorcycle Sales: Enhancing Customer Segmentation with K-Means Clustering and Data Mining Techniques Fernando, Luis; Fianty, Melissa Indah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.799

Abstract

Information plays a crucial role in the sustainability of company operations. The development of information technology, especially in the industry 4.0 era, affects various fields including economics, social, and education. The company faces challenges in declining motorcycle sales due to intense competition and ineffective customer segmentation. To address these issues, this study proposes the use of the K-Means algorithm with Python tools for better customer segmentation. The study aims to identify diverse customer groups and tailor marketing strategies accordingly. By utilizing the Elbow method and Silhouette score, the analysis of customer data is simplified. This study also employs data mining techniques to uncover hidden patterns in motorcycle sales data, aiding companies in improving operational efficiency and decision-making.
Co-Authors Fianty, Melissa Indah Glacio, Rich Lina Lina Meiwinka, Meiwinka Rasyid , Ardiansyah Rasyid, Ardiansyah Surjandari, Dwi Asih Suzy Azeharie, Suzy