SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION

Ayasda Rahardian, E. T. Tosida, E. Kurnia, H. Mahdin
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Abstract

The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.
基于空间聚类的加油站位置确定
Cibeber街道上没有加油站,但为了方便居民出行,交通工具的使用率很高,这与之不平衡。本研究的目的是利用K-Means聚类和空间建模对数据进行聚类,为Cibeber地区建设加油站提供一个潜在的位置。根据使用RStudio进行的研究过程,可能建设加油站的村庄包括四个村庄,即Cikotok, Cibeber, nigasari和Wanasari。空间建模结果显示,齐伯尔区共有862个潜在区位点,在潜力村范围内,即4个村,共有233个潜在区位点。然后对加权产品进行优化处理,得到最佳选址结果,得到3个潜在选址,分别是位于Wanasari村的Tegalumbu村、位于Cikotok村的Nagrak村和位于Cibeber村的Cinangga村。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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