摘要：The need for people to consume rice continues to increase which causes the price of rice in the marketto rise and fall in the Yogyakarta Special Region while the government still lacks attention to rice productionin each year. This research focuses on making regional groupings in Yogyakarta Special Region based on thelevel of rice productivity. Data mining process is done by clustering using k-means to classify sub-districtsbased on production data and land area. Evaluation of the results of clusters uses elbow method andcomparison of cluster results with other programs. Regional grouping based on the level of rice productivityproduces 3 optimal clusters which are divided into low productivity, medium productivity and highproductivity. With the results of this study, it is expected to help the Yogyakarta agricultural service in an effortto increase rice productivity more evenly in each region.
