PENGELOMPOKKAN DAERAH BERDASARKAN KETERSEDIAAN MASJID MUHAMMADIYAH DENGAN ALGORITME K-MEANS
DOI:
https://doi.org/10.24853/jurtek.13.1.75-80Keywords:
clustering, mosque, muhammadiyah, k-meansAbstract
The importance of the mosque's role in daily life as it is known is for worship facilities. However, the availability of mosques in an area is not yet fully distributed, even there are still areas that do not yet have a mosque. The financial surplus in the Muhammadiyah organization has not been put to good use. One solution is to map and group an area based on the number of mosques in the area. The grouping of regions in this study uses the K-Means algorithm. Characteristics for the process of grouping regions are the name of the district, the name of the sub-district and the number of mosques in a sub-district or branch. The study area in this research is West Java Province. Determination of K or number of clusters in this study is 3. The number of clusters is determined based on 3 categories, namely small, medium and large. There are 4 regions that are categorized with a large number of mosques, 21 regions with moderate numbers and 78 for regions that are classified as few. Evaluation of the results of the grouping showed good results with an SSE value of 90.05%.Downloads
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