Application of K-Means Clustering and OR-Tools to Optimize Rice Distribution: A Case Study of Perum Bulog Indonesia
Abstract
Food security is a key priority for the Indonesian government, essential for maintaining economic and political stability. To meet the nation's nutritional needs, the government must ensure stable, affordable food availability across the country. Rice, Indonesia's primary staple, is consumed at an average of 139 kilograms per capita annually, with a dependency rate of 97%. To address food security challenges, the government has tasked Perum BULOG, a State-Owned Enterprise, with managing the Food Supply and Price Stabilization Program (SPHP) for rice. This paper proposes a method to optimize the distribution to Perum BULOG's retailers, known as Rumah Pangan Kita (RPK), using the Heterogeneous Capacitated Vehicle Routing Problem (HCVRP). The study employs the K-Means algorithm for clustering RPK addresses and Guided Local Search via OR-Tools to determine optimal transportation types. The results indicate a 21% reduction in delivery costs, significantly enhancing the efficiency of the SPHP rice distribution process, thereby supporting food security in Indonesia.
Keywords
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DOI: https://doi.org/10.15408/aism.v7i2.40618
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