IMPLEMENTASI DATA MINING PENINGKATAN PRODUKSI BERAS MENGGUNAKAN METODE K-MEANS CLUSTERING

Increasingly high growth rates in the world, especially developing countries like Indonesia, have reduced area of agricultural land, thereby reducing food production. Rice is one staple ingredients which an important commodity, Indonesia because rice main consumption ingredient for people to obtain carbohydrate intake. This study discusses implementation data mining increasing production North Sumatra province using K-Means Clustering algorithm as a solution solving cases. The source this was obtained from BPS with 32 processed data. Data analysis used 2 (two) cluster levels, namely (C1) and low (C2). research results are that there 3 cities/regencies included 29 other It hoped can become input, suggestions efforts provincial government pay more attention each region so it meet basic needs community increase security optimally.