Pengelompokan Produksi Daging Sapi Menurut Provinsi di Indonesia Tahun 2017-2022 dengan Menggunakan Metode K-Means
Keywords:
Beef, Production, Clustering, K-MeansAbstract
Demand for beef is a commodity that will continue to increase. In addition to nutritious milk and protein-rich meat, cows are very beneficial to humans. The consumption trend of Indonesians which continues to increase every year also shows this. However, adequate beef production, both in terms of quality and quantity, has not been sufficient to meet the increasing demand for beef. As a result, beef production has not been evenly distributed in all Indonesian provinces. This study aims to apply the K-Means Cluster method to group provinces and determine the characteristics of the clusters formed based on the level of beef production in Indonesia in 2017-2022. With this research, it can be input to the government and the people of Indonesia so that they can handle policies for regions that are included in the low cluster as an increase in the equity of beef production. This study clustered 3 groups. The results obtained were 10 provinces included in the low cluster, 21 provinces included in the medium cluster and 3 provinces included in the high cluster.
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