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All Journal Sistemasi: Jurnal Sistem Informasi Computer Based Information System Journal Jurnal Pendidikan Ekonomi (JURKAMI) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Building of Informatics, Technology and Science Indonesian Journal of Business Intelligence (IJUBI) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Fokus: Publikasi Ilmiah untuk Mahasiswa, Staf Pengajar dan Alumni Universitas Kapuas Sintang Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Pendidikan Sains dan Komputer Jurnal Puan Indonesia Jurnal Pengabdian Ibnu Sina Computer & Science Industrial Engineering Journal
Darmansah, Darmansah
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Journal : Computer

 1 
EKSPLORASI DATA PENJUALAN DI PT ABP UNTUK MENGUNGKAP FAKTA-FAKTA SEGMENTASI KONSUMEN PROPERTI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Stefanus; Darmansah, Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11099

Abstract

Housing sales data in property companies are commonly utilized only for administrative purposes, limiting their potential to generate strategic insights into consumer behavior and purchasing patterns. PT Adi Bintan Permata possesses a substantial volume of housing sales transaction data, yet this data has not been systematically analyzed to support data-driven marketing decisions. This study aims to identify consumer segmentation in the property sector at PT Adi Bintan Permata by applying the K-Means clustering algorithm. A quantitative descriptive research approach was employed using housing sales data from January 2022 to June 2025. The variables analyzed include housing selling price, housing unit type, and payment method. Data processing followed the Knowledge Discovery in Databases (KDD) framework, while the optimal number of clusters was determined using the Elbow Method and Silhouette Coefficient. The clustering process was conducted using RapidMiner and Google Colaboratory. The results reveal three distinct consumer clusters with different purchasing characteristics. These findings indicate that K-Means clustering is effective for property consumer segmentation and provides meaningful insights to support more targeted and effective marketing strategies.
EKPLORASI DATA PENJUALAN DI OTOXPERT MENGGUNAKAN ALGORITMA APRIORI Jeky, Jeky; Darmansah, Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11210

Abstract

This study aims to explore sales transaction data of spare parts at OTOXPERT Batam usingthe Apriori algorithm to identify association patterns among products. The main problemaddressed is that transaction data, although available in large quantities, has not beenoptimally utilized to uncover relationships between spare parts, so the potential use of thesepatterns to support cross-selling activities and stock management has not been fullyrealized. The data used in this study were sales transactions from January 1 to March 31,2025. The research method includes data preprocessing, transformation of transaction datainto basket form, descriptive analysis, and the application of the Apriori algorithm usingsupport, confidence, and lift parameters. The results show that the Apriori algorithm is ableto discover frequent itemsets and association rules that describe the tendency of spareparts to be purchased together. These patterns provide meaningful information aboutcustomer purchasing behavior and can be used as supporting information in decisionmaking related to sales strategies and inventory management. Therefore, this studydemonstrates that the Apriori algorithm is effective in transforming transaction data intovaluable information for business analysis at OTOXPERT Batam.
Co-Authors Alvendo Wahyu Aranski Amrizal Amrizal Amrizal Arnomo , Sasa Ani Cenderato Cenderato Dasril Aldo Elisa, Erlin Gusla Nengsih, Yeyi Handoko, Koko Harman, Rika Irene Svinarky Iswandi Iswandi Jeky, Jeky M Yoka Fathoni mervin, les lie Novri Adhiatma Novri Adhiatma, Novri Putra, Riko Andrian Samosir, Khairunnisa Sandhy Fernandez Saragih, Saut Pintubipar Sarah Astiti S.Kom., M.MT Simanjuntak, Pastima Stefanus Tomy Nanda Putra Willi Novrian, Willi Novrian