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All Journal Jurnal Riset Rumpun Ilmu Tanaman Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Dwi Putriana N Kinding
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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The Impact of Per Capita GRDP, Inflation, Unemployment, and Food Prices on Food Security in Banyumas Regency During The Covid-19 Pandemic M. Aris Pujiyanto; Muhamad Solekan; Dwi Putriana N Kinding
Jurnal AGRISEP JURNAL AGRISEP VOL 24 NO 01 2025 (MARCH)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jagrisep.24.01.79-102

Abstract

This study aims to determine the influence of economic factors on food security in Banyumas Regency during the COVID-19 pandemic. The pandemic has intensified vulnerabilities in Banyumas, where economic challenges, such as declining GRDP per capita, rising unemployment, and fluctuating food prices, have heightened the risk of food insecurity. As a region reliant on agriculture and local markets, Banyumas struggles to maintain food accessibility and affordability amid disrupted supply chains and reduced income levels. The research uses a descriptive analytical approach, utilizing secondary data from official reports, economic surveys, and government databases. Economic variables such as GRDP per capita, inflation, unemployment rate, and food prices are examined using a multiple linear regression model to assess their influence on food security. The analysis revealed that GRDP per capita (p = .037), unemployment rate (p = .007), and the pandemic (p = .003) significantly affect food security, while inflation approaches significance (p = .065). Interestingly, the price of staple foods, like medium rice, shows no statistically significant effect (p = .875), suggesting stabilizing measures, such as subsidies or price controls, may mitigate price volatility. With an adjusted R-squared value of 0.922, the model demonstrates strong explanatory power. The findings highlight that GRDP per capita and unemployment rates critically influence food security in the region. The study recommends that the government prioritize improving food accessibility and availability by enhancing local food production, expanding distribution channels, and bolstering food security networks.
Digitalisasi dan Komunikasi Pertanian terhadap Pertumbuhan UMKM di Kecamatan Cipari Kabupaten Cilacap Ernes Septina Azizi; Anggi Fitria Cahyaningsih; Faishal Permana; M. Aris Pujiyanto; Dwi Putriana N Kinding; Muhamad Solekan
Jurnal Riset Rumpun Ilmu Tanaman Vol. 5 No. 1 (2026): April: JURRIT: Jurnal Riset Rumpun Ilmu Tanaman
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrit.v5i1.9328

Abstract

The growth of agribusiness enterprises in Indonesia, particularly regarding digital technology access, barriers to technology adoption, operational efficiency, and business sustainability. The research employed a quantitative approach using a survey method through questionnaires distributed to agribusiness actors. Data were analyzed using descriptive quantitative analysis and ordinal logistic regression. The results indicate that digitalization positively influences the development of agribusiness enterprises in Indonesia. The use of digital technologies such as social media, agricultural marketplaces, digital farming applications, and the Internet of Things (IoT) has improved business communication effectiveness, expanded marketing access, accelerated market information access, and enhanced operational efficiency. The variable of digital technology access and utilization obtained an average score of 36.36, categorized as high, while the impact of digital utilization on business growth obtained an average score of 35.90, indicating positive benefits for most respondents. However, barriers such as limited internet infrastructure, low digital literacy, limited capital, and lack of technological assistance remain major challenges, with an average score of 31.20. The ordinal logistic regression analysis showed a probability value of 0.0135, indicating that the research model is statistically significant.
Co-Authors Anggi Fitria Cahyaningsih Ernes Septina Azizi Faishal Permana M. Aris Pujiyanto Muhamad Solekan