Food Availability Model for Technology Adoption, Farmer Support, and Geographic Variability in North Sumatra

Abstract

This study aimed to assess the influence of geographic variation, farmer organization support, and technology adoption on food availability. Conducted in Percut District, Deli Serdang Regency, North Sumatra, from January to July 2023, the research employed partial least squares structural equation modeling (PLS-SEM) for data analysis. The findings reveal that food availability is significantly and positively influenced by institutional support, reflected in the number of farmer groups, the intensity and competency of extension services, and the availability of extension workers. Geographic variation, determined by factors such as harvested area, climate, pests, and natural disasters, also significantly enhances food availability. However, the adoption of agricultural technologies and irrigation systems has a limited effect on the food supply, which is further supported by food production, imports, reserves, and aid.