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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Elang: Journal Of Interdisciplinary Research
Mukhlis Amien
STIKI, Malang
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Visit Recommendation Model: Recursive K-Means Clustering Analysis of Retail Sales Data Kristanto, Bagus Kristomoyo; Putri Listio, Syntia Widyayuningtias; Amien, Mukhlis; Baskoro, Panji Iman
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.8138

Abstract

In the context of retail distribution, this study employs recursive K-means clustering on retail sales data to optimize clusters of nearest-distance stores for salesperson route recommendations. This approach addresses the stochastic salesperson problem by generating effective routes, enhancing cost reduction, and improving service efficiency. The recursive K-means algorithm dynamically adjusts to continuous changes in store numbers, locations, and transaction data. Consequently, this research successfully developed a model that automatically re-clusters the data with each change, providing continuously updated and effective store recommendations.
Co-Authors Bagus Kristomoyo Kristanto Baskoro, Panji Iman Daniel Rudiaman Sijabat Dedy Ari Purnomo Meivi Kartikasari Putri Listio, Syntia Widyayuningtias Yekti Asmoro Kanthi