Designing an Agricultural Digitalization Policy Model to Enhance Agricultural Performance in Indonesia: A Case Study of Sambas Regency, West Kalimantan

Abstract

This study aims to design an agricultural digitalization policy model to improve agricultural performance in Indonesia, focusing on Sambas Regency, West Kalimantan. Utilizing the Fuzzy Analytical Hierarchy Process (FAHP), the research analyzes key factors, actors, objectives, and strategies influencing agricultural digitalization. The findings reveal that farmers' characteristics and perceptions, along with the role of facilitators, regulations, and digital infrastructure, are crucial factors. The Ministry of Agriculture emerges as the most influential actor while increasing agricultural productivity and farmers' income are identified as primary objectives. The development of integrated agricultural digitalization from upstream to downstream is prioritized as the key strategy, supported by government-provided big data, optimized extension worker roles, and the creation of digital markets for agricultural services and products. This research provides valuable insights for policymakers in formulating effective strategies to drive digital transformation in Indonesia's agricultural sector, emphasizing the need for a holistic, multi-stakeholder approach to realize the benefits of agricultural digitalization for farmers, businesses, and society at large.