Implementasi Data Mining dalam Menentukan Jarak Pengiriman yang Minimum pada Produk Minyak Goreng Menggunakan Metode K-Means Clustering dan Simulated Annealing di CV. Bima Laras Khatulistiwa

Jordyan Akmal Cahyono, Sumiati Sumiati

Abstract


This study aims to determine the number of customer clusters and the optimal total delivery distance in the distribution of cooking oil products at CV. Bima Laras Khatulistiwa using the concept of data mining with the K-Means Clustering and Simulated Annealing methods. The results of this study concluded that the number of customer clusters consists of 3 (three) clusters, namely cluster 0 with 58 data, cluster 1 with 10 data, and cluster 2 with 59 data and the total distance traveled in the distribution of Minyak Kita products is 278.57 km, with details of the distance traveled for cluster 0 of 132.74 km, cluster 1 of 28.3 km, and cluster 2 of 117.53 km.


Keywords


Cooking Oil, Data Mining, K-Means Clustering, Simulated Annealing

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DOI: http://dx.doi.org/10.33087/ekonomis.v9i2.1924

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Ekonomis: Journal of Economics and Business Published by Lembaga Penelitian dan Pengabdian kepada Masyarakat
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