Division of Regions in Indonesia That Can Achieve Food Security for Corn
- DOI
- 10.2991/absr.k.210304.023How to use a DOI?
- Keywords
- Clustering, hierarchical algorithm, food security, R software
- 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.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Romli Ardie AU - Mukhtar AU - Cecep Anwar Hadi Firdos Santosa AU - Sholih AU - Nana Hendracipta PY - 2021 DA - 2021/03/04 TI - Division of Regions in Indonesia That Can Achieve Food Security for Corn BT - Joint proceedings of the 2nd and the 3rd International Conference on Food Security Innovation (ICFSI 2018-2019) PB - Atlantis Press SP - 132 EP - 138 SN - 2468-5747 UR - https://doi.org/10.2991/absr.k.210304.023 DO - 10.2991/absr.k.210304.023 ID - Ardie2021 ER -