Imam Mukhlis, Aji Prasetya Wibawa, Agung Winarno, Özlem Sökmen Gürçam
Agriculture had suffered from the COVID-19 pandemic and one of the impacted area was Indonesia’s food production. Indonesia reported its first COVID-19 case in March 2020 and restricted commercial and non-economic activity. This study mapped Indonesia’s food security clusters after COVID-19. Pricing and consumer reaction to food availability indicate food security for the state and individual. A survey collected food security and agriculture statistics for Kediri, Tulungagung, Nganjuk, and Trenggalek. K-Means kernel tweaks are used as well as Radial Basis Function (RBF), polynomial, sigmoid, and gaussian kernel. Cluster analysis uses pricing, availability, and customer reaction scenarios for 20 commodities. Each scenario had three clusters, cluster_0, cluster_1, and cluster_3. These findings show that K-Means with kernel gives more consistent values than K-Means. © 2024 selection and editorial matter, Aji Prasetya Wibawa.
Universitas Negeri Malang, Malang, Indonesia; Iğdir University, Iğdir, Turkey
