PENERAPAN K-MEANS ALGORITHM UNTUK MENGIDENTIFIKASI SUPPLIER BAHAN BAKU PADA KOMODITAS AGRIKULTUR DI KABUPATEN PAMEKASAN

Agricultural commodities, especially in Pamekasan Regency, some of their production results are not constant and experience negative growth due to several inhibiting factors such as natural conditions and the enthusiasm of the human resources involved in them. On the other hand, the growth of products made from raw materials from this commodity is increasing, so it is necessary to carry out mapping using the clustering method using the K-Means Algorithm, in order to determine the level of superior potential in each region or so that suppliers of raw materials for this commodity can be identified. The results showed that the level of potential in agricultural commodities, namely agriculture, plantations and fisheries in each sub-district was divided into 3 clusters namely High Potential, Medium Potential and Low Potential. The data involved in the agricultural and plantation sectors are 13 sub-districts, while in the fisheries sector there are 6 sub-districts because not all sub-districts are in coastal areas. Through this research, it is hoped that industry players can determine the right supplier according to the need for the availability of existing raw materials.