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All Journal Agricultural Power Journal
A. St. Fatmawaty
Universitas Muslim Indonesia
Agriculture, Biological Sciences & Forestry

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Journal : Agricultural Power Journal

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Flood Hazard Zonation and Agricultural Vulnerability Assessment Using GIS in Indonesia A. St. Fatmawaty
Agriculture Journal Vol 2 No 4 (2025): November, 2025
Publisher : CV. HEI PUBLISHING INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70076/apj.v2i4.124

Abstract

Riau Province, a low-lying region dominated by peatlands and high rainfall, is highly susceptible to severe flooding, posing significant risks to its key agricultural sectors (oil palm and rice). This study seeks to delineate flood risk and agricultural susceptibility by amalgamating Geographic Information Systems (GIS) with Multi-Criteria Analysis (MCA). Flood hazard zonation was generated using weighted physical parameters—Digital Elevation Model (DEM), rainfall, soil type, land cover, and river proximity—processed through the Analytical Hierarchy Process (AHP). Agricultural vulnerability was assessed using exposure, sensitivity, and adaptive capacity indicators derived from 2020–2025 secondary data. The results reveal that 18.5% of Riau Province falls under high-hazard zones, predominantly in Indragiri Hilir and Indragiri Hulu. Rice and oil palm in Indragiri Hilir were found to be the most vulnerable commodities, with an estimated annual economic loss of 350 billion Rupiah [11]. The resulting spatial maps provide essential guidance for the Riau Provincial Government in designing targeted mitigation measures, risk-based spatial planning, and improved agricultural adaptation strategies.
Digital Transformation and Value Chain Efficiency in Agricultural Marketing A. St. Fatmawaty; Silvans Tande Bura
Agriculture Journal Vol 2 No 4 (2025): November, 2025
Publisher : CV. HEI PUBLISHING INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70076/apj.v2i4.125

Abstract

This study empirically analyzed the impact of Digital Transformation (DT) on Agricultural Marketing Value Chain Efficiency (VCE) across 12 developing economies from 2019 to 2023, utilizing a Fixed Effects (FE) panel data model. The research specifically quantified the contribution of Digital Access (ACCESS), ICT Infrastructure (INFRA), and Digital Policy (POLICY) on Marketing Margin (MM), Post-Harvest Loss (PHL), and Farmers’ Terms of Trade (FTT). The FE results indicate that ACCESS and INFRA robustly and significantly reduce MM and PHL while positively impacting FTT. Notably, INFRA showed the largest effect: a 1 unit increase in INFRA (mobile-broadband subscriptions per 100 inhabitants) correlates with a 0.398 percentage point drop in MM, confirming that network quality is paramount for supply chain streamlining and reducing information asymmetry. Conversely, the POLICY variable was largely insignificant. Supplementary analysis attributes this weakness to policy frameworks overemphasizing upstream (production) technology and neglecting critical downstream (marketing and logistics) inefficiencies. The study concludes that while market-driven DT investment is a proven driver of VCE, the full potential of government intervention requires a strategic reorientation toward addressing downstream value chain challenges.
The Agricultural Digital Divide: Impact of Internet Penetration on Mechanization Adoption and Labor Productivity in Rural Areas A. St. Fatmawaty; Amruddin Amruddin; Erina Riak Asie
Agriculture Journal Vol 3 No 1 (2026): February, 2026
Publisher : CV. HEI PUBLISHING INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70076/apj.v3i1.146

Abstract

The agricultural sector faces a structural divide between traditional practices and data-driven digitalization. This research investigates the influence of rural internet penetration on the adoption of modern agricultural machinery and its impact on labor productivity in Indonesia. Utilizing a quantitative framework, the study synthesizes official secondary data from national labor, digital development, and agricultural databases covering 38 provinces. Results demonstrate a significant positive correlation, where high-connectivity regions exhibit a 63.46% higher productivity index compared to digitally isolated areas. Path analysis reveals that internet penetration serves as a critical enabler, where gains in labor efficiency are predominantly mediated by the adoption of physical mechanization. However, low digital literacy in Eastern Indonesia remains a structural constraint. The study concludes that while rural internet penetration plays an important role in accelerating mechanization adoption, its effectiveness in improving agricultural productivity is highly dependent on digital literacy and the integration of digital infrastructure with mechanization practices.
Co-Authors Amruddin Amruddin Erina Riak Asie Silvans Tande Bura