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UIN Syarif Hidayatullah Jakarta
Agriculture, Biological Sciences & Forestry

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THE IMPACT OF THE IR NUTRIZINC (Oryza sativa) CULTIVATION PROGRAM ON FARMER’S INCOME  AND EXCHANGE VALUE IN SERANG REGENCY, BANTEN PROVINCE Phonika Aryati; Ujang Maman; Akhmad Mahbubi; Lebba
AGRIBUSINESS JOURNAL Vol. 20 No. 1 (2026): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v20i1.50845

Abstract

Stunting has long been a major issue in Indonesia,  the government to implement a policy under the Ministry of Agriculture Regulation No. 39 of 2020, which mandates biofortification of rice varieties, including IR Nutrizinc rice, to improve food quality in Indonesia. This study aims to analyze the impact of the IR Nutrizinc rice cultivation program on farmers’ income and exchange value in Serang Regency, Banten Province, from October 2024 – December 2024. The feasibility analysis showed that IR Nutrizinc rice farming was profitable, as indicated by an R/C ratio greater than 1. The Policy Analysis Matrix (PAM) results showed that the NPCI value of IR Nutrizinc rice was 1.06 (>1), indicating government support through input policies within the IR Nutrizinc program. However, the NPCO value of 0.96 (<1) indicated that the output price received by farmers was still below the ideal economic price. The PCR and DRC values of less than 1 indicated that IR Nutrizinc rice farming was economically efficient and had both competitive and comparative advantages. Nevertheless, the EPC value of 0.95 and PC value of 0.85 showed that policy distortions still caused farmers’ profits to be suboptimal. This condition was also reflected in the SRP value of -0.14, indicating a disincentive effect where private profits were lower than social profits. Despite this, the IR Nutrizinc program still contributed positively to farmer welfare, as reflected by the increase in the farmer exchange rate from 1.03 in non-IR Nutrizinc farming to 1.30 in IR Nutrizinc farming in Serang Regency.
STRUCTURAL EQUATION MODELING OF COCOA EXPORT PERFORMANCE IN INDONESIA (2015–2024) Nurulita Islami Hasibuan; Elpawati; Lebba
AGRIBUSINESS JOURNAL Vol. 19 No. 2 (2025): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v19i2.49052

Abstract

Cocoa is a strategic commodity that contributes significantly to Indonesia’s agricultural export performance. However, its export performance has fluctuated due to global price dynamics, exchange rate volatility, and variations in export volume. This study analyzes Indonesia’s cocoa export performance from 2015 to 2024 using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The secondary data include export volume, export value, average export price, and the rupiah exchange rate against the U.S. dollar. The SEM-PLS results indicate that export volume has a strong and significant positive effect on export value (β = 0.64, p = 0.000), demonstrating that increases in export quantity play a major role in enhancing Indonesia’s cocoa export performance. Export price shows a positive but marginal effect (β = 0.28, p = 0.056), suggesting that price movements contribute to export value but are not statistically significant at the 5% level. Meanwhile, the exchange rate has a significant negative effect on export value (β = −0.47, p = 0.001), indicating that rupiah depreciation tends to suppress cocoa export performance. The model explains 74.2% of the variance in export value (R² = 0.742), reflecting strong predictive capability. These findings provide an empirical basis for formulating data-driven strategies to strengthen Indonesia’s cocoa export performance through improvements in production capacity, pricing strategies, and exchange rate stability.
Co-Authors Akhmad Mahbubi Elpawati Nurulita Islami Hasibuan Phonika Aryati Ujang Maman