Penerapan Metode K-Means Clustering pada Hasil Produksi Beras di Wilayah Sumatera Utara
DOI:
https://doi.org/10.59059/mutiara.v1i6.749Keywords:
K-Means Clustering, Rice Production, North Sumatra, Data Analysis, GroupAbstract
This research aims to apply the method K-Means Clustering on rice production results in the region North Sumatra. K-Means Clustering is a data analysis technique that is useful for grouping data into several groups based on similar characteristics. This research uses rice production data from several districts/cities in North Sumatra as samples. The K Means method is used to group these regions into several clusters based on rice production they. The research results show that the K Means Clustering method can be used for identification rice production patterns in the North Sumatra region. The hope is, research results can be a valuable contribution, provide recommendations, and support initiatives for the North Sumatra provincial government in improving rice production throughout the region, with the aim of ensuring a more stable food supply for the community.
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