ANALYSIS OF CENTRAL LOCATION MANAGEMENT OF GRAIN PROCESSING LOCATIONS USING K-MEAN CLUSTERING WITH PYTHON LANGUAGE
Journal Title: Engineering and Technology Journal - Year 2022, Vol 7, Issue 09
Abstract
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.
Authors and Affiliations
Moehammad Nasri, AW
Keywords
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- EP ID EP709705
- DOI 10.47191/etj/v7i9.04
- Views 122
- Downloads 0
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