Klasterisasi Data Hasil Produksi Pertanian dan Peternakan Provinsi Nusa Tenggara Timur Menggunakan Metode K-Means
Klasterisasi, Produksi pertanian dan Peternakan
Abstract
The purpose of this study was to build a system for grouping and mapping districts / cities based on agricultural and livestock production in East Nusa Tenggara Province. The results of agricultural and livestock production in East Nusa Tenggara province have increased from year to year. However, currently there is no system to group districts / cities in East Nusa Tenggara province that have agricultural and livestock production. With the creation of this system, the agriculture and animal husbandry office can find out the level of production based on agricultural and livestock products. From this problem, a system was created in grouping and mapping the results of agricultural and livestock production in East Nusa Tenggara Province. The grouping method used in this study is the K-Means Clustering method.The data used in this study were agricultural and livestock production data totaling 396 data. Production data including rice production, corn production, cassava production, cattle production, pig production, and native chicken production are sourced from the website of the Central Bureau of Statistics of East Nusa Tenggara Province. Based on the results of system testing, it shows that the K-Means method applied to the clustering system of agricultural and livestock production can group the level of agricultural and livestock production in East Nusa Tenggara Province.
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