Cut-off point and multiple regression linear analysis for decision support of food security in the era of pandemic

Abstract

Covid-19 has devastated all sectors of life. Many people's economic activities have stalled, services have been hampered, and the agricultural sector has suffered a heavy blow. According to the World Food Organization (FAO), the potential for a food crisis during a pandemic will threaten the world, including Indonesia. Responding to the potential food crisis, the state government is asked to be vigilant in controlling the availability of this food. As the 10 poorest cities in Indonesia, Bengkulu must be more alert in resolving the food insecurity problem that threatens its people. In this study, the priority of food vulnerability in the province of Bengkulu was mapped to assist the government in dealing with food insecurity. This system was built on a web basis using the cut-off point method and multiple linear regression analysis to sharpen the results and analysis per area. This system has successfully mapped priorities 1-6 for each regency in Bengkulu with system success rate of 4.075 on the Lickert scale. © 2022 American Institute of Physics Inc.. All rights reserved.