Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis
Muthiah Syakirotin
Padjadjaran University
Agriculture, Biological Sciences & Forestry

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Geographically Weighted Regression (GWR) Model of Bandung Regency Food Security during the Covid-19 Pandemic Muthiah Syakirotin; Tuti karyani; Trisna Insan Noor
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 7 No 1 (2023): MARCH
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v7i1.2633

Abstract

The Covid-19 pandemic has had an impact on changes in people's economic activities, leading to an increase in the poverty rate. This has an impact on people's ability to obtain safe and sufficient food. The food security status of the city/district does not always guarantee that each individual is food secure because each region has different characteristics. The diversity of each village has the effect of variance in food security results. This study aims to model the influence of the Covid-19 Pandemic and food security indicators in Bandung Regency using Geographically Weighted Regression (GWR). This research was conducted in Bandung Regency in 280 villages. The design used in this research is descriptive quantitative. The data source used was secondary data on food security in Bandung Regency. The results showed that the influence of the percentage of the population infected with Covid-19 on food security was greatest in the southern area of Bandung Regency, and the value of the Local R2 coefficient of the influence of indicators in the calculation of the food security composite was highest in Nagreg District.
Co-Authors Trisna Insan Noor Tuti Karyani