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INDONESIA
Agricultural Power Journal
Published by CV. HEI Publishing Indonesia
ISSN : -     EISSN : 30628563     DOI : http://dx.doi.org/10.70076/apj
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Agricultural Power Journal (APJ), encourages submission of manuscripts dealing with all aspects to optimizing the quality and quantity of both plant, including agricultural economics and management, agricultural engineering and mechanization, agronomy and crop science, biotechnology, ecology and ecophysiology, food science and technology, genetic diversity and breeding, molecular biology, land resources, land use and remote sensing, microbiology, virology and bacteriology, organic agriculture, physiology and nutrition, phytoremediation, plant nutrition, plant pathology and pest management, post-harvest technology, soil sciences, soilless culture, tissue culture technology, and water management.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 45 Documents
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Land Distribution Inequality and Farmer Poverty Vulnerability: Analyzing Land Gini Ratio and Poverty Severity Index Using the 2023 Agricultural Census Situmorang, Marningot
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.v3i1.145

Abstract

Land inequality remains a structural constraint on rural poverty reduction in Indonesia. This study examines the relationship between land distribution inequality and farmer poverty vulnerability using provincial data derived from the 2023 Agricultural Census (ST2023). Land inequality is measured using the Land Gini Ratio, while poverty vulnerability is assessed through the Poverty Severity Index. The analysis applies linear regression to evaluate the statistical association between variables. The results indicate a strong positive relationship (R² = 0.54, p = 0.002), suggesting that provinces with higher land inequality tend to exhibit deeper poverty severity among agricultural households. These findings highlight that land disparity is strongly associated with rural poverty vulnerability within the observed model. The study underscores the importance of equitable land distribution policies as part of inclusive rural development strategies.
Deconstructing National Food Security: A Spatial Analysis of Paddy Field Conversion and Rice Production Volatility Based on Area Frame Sampling (AFS) Data Suciati, Luh Putu; Kunu , Pieter J.
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.v3i1.150

Abstract

This study analyzes the structural vulnerability of national food security by examining the spatial impact of paddy field conversion on rice production volatility. Production instability is influenced by several key factors, including land-use change, climate-related harvest failures, and the degradation of primary irrigation infrastructure. Using the Area Frame Sampling (AFS) approach from 2020 to 2024, this research integrates remote sensing data with field observations to measure the loss of productive agricultural land. The results reveal a 4.22% decline in the national harvest area. In Java, the conversion of technically irrigated paddy fields leads to an estimated loss of 11.4 tons of Milled Dried Grain (MDG) per hectare annually, reflecting a significant reduction in production capacity due to the disappearance of multi-cropping systems. Spatial regression analysis shows a strong relationship (R² = 0.78) between infrastructure expansion and rice supply instability. This finding indicates that irreversible land-use change, rather than yield fluctuation, is the primary driver of production volatility. The results suggest that national food security is approaching a critical threshold. Therefore, the study recommends implementing a moratorium on paddy field conversion, strengthening field-level spatial monitoring, integrating food security policies, and providing fiscal incentives to protect remaining agricultural land.
Climate Change Spillover Effects on Agricultural Economics: Correlating Rainfall Anomalies (ENSO) and Farmer's Terms of Trade in Indonesia Sabrina, Leni; Nurhapsa , Nurhapsa; Jumiati , Elly
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.v3i1.152

Abstract

This study investigates the profound socioeconomic implications of precipitation variability on agricultural stability, specifically focusing on how ENSO-induced rainfall anomalies trigger economic spillover effects within the Indonesian agrarian sector. Addressing the critical intersection of climatology and macroeconomics, the research aims to quantify the correlation between meteorological shocks and the Farmer's Terms of Trade (FTT). Utilizing official secondary datasets from the Bureau of Meteorology, Climatology, and Geophysics (BMKG) and Statistics Indonesia (BPS) for the period 2021–2024, the study employs a quantitative approach integrating Pearson correlation analysis and the Vector Error Correction Model (VECM). The results demonstrate a significant positive correlation (r = .658 ; p = .003) between rainfall stability and farmer welfare, revealing a severe "price-squeeze" effect during the 2023 El Niño where escalating production costs outpaced commodity gate prices. Furthermore, the findings highlight that technical irrigation infrastructure acts as a vital moderator, significantly dampening economic volatility in resilient provinces like South Sulawesi compared to rain-fed regions. We conclude that climate-driven economic erosion necessitates a transition toward proactive policy frameworks, such as Weather Index-Based Insurance (WIBI), to safeguard rural purchasing power. This research advances scientific knowledge by empirically decoupling the physical impacts of climate change from its structural economic consequences in tropical agriculture.
The Agricultural Digital Divide: Impact of Internet Penetration on Mechanization Adoption and Labor Productivity in Rural Areas Fatmawaty, A. St.; Amruddin, Amruddin; Asie, Erina Riak
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.
Spatial Modeling of Agricultural Carbon Footprints: Assessing Greenhouse Gas Emissions Based on Livestock Population and National NPK Fertilizer Consumption Saida; Pieter J. Kunu; Andi Apriany Fatmawaty
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.v3i1.154

Abstract

This study addresses the critical challenge of balancing national food security with climate mitigation by developing a spatial model of Indonesia's agricultural carbon footprint. Amid global Net Zero Emissions efforts, it identifies geographical "hotspots" of non- CO2 greenhouse gases using secondary data from the Ministry of Agriculture and PT Pupuk Indonesia (2020–2024). Applying the Intergovernmental Panel on Climate Change IPCC Tier 1 methodology, this study estimates methane (CH4) emissions from livestock enteric fermentation and nitrous oxide (N2O) emissions from NPK fertilizer consumption. GIS-based spatial analysis reveals significant clustering patterns, with East Java contributing 26.54% of national livestock methane emissions based on 2023 livestock population data. While methane dominates in total emission volume, N2O emissions from NPK fertilizer application demonstrate higher atmospheric persistence and global warming potential. Statistical analysis indicates that fertilizer management explains 78% of the variance in soil emissions (np2 = .78), confirming that nutrient input is a primary determinant of soil-based carbon flux variability. These findings are supported by spatial autocorrelation results and provincial emission estimates, which identify major emission clusters along Java Island and South Sulawesi agricultural corridors, highlighting the need for region-specific mitigation strategies.

Page 5 of 5 | Total Record : 45

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