Penerapan Metode K-Means Clustering Untuk Analisa Penjualan Komoditas Toko Tani Indonesia

Thisreportdescribesthegroupingofagriculturalcommodities.AgriculturalCommoditiesaretheresults of farming activities that can be traded, stored and exchanged. In carrying out testing ofthis algorithm, the data used is goods at Indonesian Farmer Center shop. thisapplication, clustering using K-means algorithm. From was processedwith samples taken farmer's shop center, three types groups wereproduced. Namely low sales data, medium high data. So with this datagrouping, farm find are selling well andwhichare not. Sothatthe in warehousedo notaccumulate.