Division of Regions in Indonesia That Can Achieve Food Security for Corn

Abstract

Clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, agriculture, and economics. Clustering method will be focused on clustering every province in Indonesia that is able to achieve food security of corn. In most developing countries, lack of resources, production and consumption are the main factors influencing food security in each province. Corn is an important agricultural commodity after rice because it can be used as a substitute for rice. Almost in some regions, corn still relies on staple food. This study aims to investigate the status of food security by classifying several provinces that can meet the needs of corn so that it will achieve food security. Data were obtained from 32 provinces, which included information on production and area of planting. From the results of clustering there are three categories of clustering. Silhouette Width is 0,73 that a good structure to the clusters.