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All Journal JURNAL ILMIAH MANAJEMEN & BISNIS Majalah Kulit, Karet, dan Plastik JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Malikussaleh Journal of Mathematics Learning (MJML) JPP Jurnal Kesehatan Poltekkes Palembang INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Journal Serambi Engineering (JSE)
Trisna Yuniarti
Politeknik APP Jakarta
Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Data Mining Modeling in Clustering Car Products Sales Data in the Automotive Industry in Indonesia Juli Astuti; Trisna Yuniarti
Jurnal Manajemen Industri dan Logistik Vol. 7 No. 2 (2023): 10 original research articles were authored/co-authored by 35 authors from 1 co
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v7i2.1258

Abstract

The research aims to build a model based on sales data for all automotive products in Indonesia using data mining with a k-means approach. This study uses automotive product sales data from January 2017 to September 2022. The lowest Davis-Bouldin index shows that three clusters (k=3) have the best performance. Based on the clustering results, 92% of the items are in cluster 0, 1% in cluster 1, and 7% in cluster 2. In addition, the clustering results show that cluster 1 is a car product with high sales volume. Cluster 2 is a car product with medium sales volume. Furthermore, cluster 0 is a car product with low sales volume. Business people or related parties can use data visualization and extraction from clustering results to learn the latest insights and information in determining business strategies, policies, and decisions to improve business competitiveness.
Co-Authors ., Listrianah Amrin Rapi Anisa Rahmawati Arum, Riska Mulia Bani , Fajar Ciputra Daeng Bani, Fajar Ciputra Daeng Bayunata, Athur Bianggo NauE, Dian Adhe Bianggo, Dian Adhe Dahliyah Hayati Elda Pelita Fajar Ciputra Daeng Bani Faujiyah, Fidhani Faujiyah, Firdhani Firdhani Faujiyah Hayati, Dahliyah Iga Dwi Wahyuni Ika Widiana Irfan Rusmar Juli Astuti Juli Astuti M Zaiyar M. Zaiyar Muhammad Alde Rizal Riska Mulia Arum Risma Sari Rizal, Muhammad Alde Rusmar, Irfan Sonlimar mangunsong Tengku Rachmi Hidayani Widiana , Ika Zaiyar, M