Moehammad Nasri, AW
One of the interesting topics in operational management is the selection of processing center locations. The right location will determine the efficiency of results so that product prices will be competitive when entering the consumer market. Analysis of determining the center of the location can use several methods, from simply using a spreadsheet to using a programming language. In this paper, an analysis will be carried out to determine the location of the center for grain processing (RMU, Rice Milling Unit) in Malang Regency. The analysis was carried out using the K-Means Cluster method with the Python language. With the input of spatial data on the location and area of rice fields in 390 villages in Malang Regency and the central estimation point variables (K): 4, 5 and 6. The results of the analysis obtained 6 proposed cluster center locations that can be used for consideration in determining the location of agriculture-based businesses.
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title={eversvd,+4 (7)},
author={Moehammad Nasri and AW},
year={2026},
language={en}
}TY - JOUR TI - eversvd,+4 (7) AU - Moehammad Nasri AU - AW PY - 2026 LA - en ER -
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