The Impact of Inpari Nutri Zinc Rice on Farmer Welfare and Food Security in Stunting-Prone Bantul, Indonesia
Farhanah Khairunnisa
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
DOI: https://doi.org/10.36956/rwae.v6i2.1644
Received: 1 January 2025 | Revised: 5 February 2025 | Accepted: 11 February 2025 | Published Online: 9 April 2025
Copyright © 2025 Farhanah Khairunnisa, Lestari Rahayu, Zuhud Rozaki, Cahyo Wisnu Rubiyanto. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Indonesia has a new variety of rice, namely Inpari Nutri Zinc rice. Bantul Regency is one of the areas for developing this rice, one of which is in Imogiri District. Inpari Nutri Zinc rice is a functional food to overcome the high stunting rate in Imogiri District. In 2023, Imogiri District had the highest number of stunted toddlers in Bantul Regency, reaching 434 toddlers. In addition, Imogiri District experienced crop failures which caused farmers’ welfare issues such as food insufficiency and poverty. The research problems aim to: (1) identify the income and expenditure of Inpari Nutri Zinc rice farming households, (2) analyze the welfare of these households, (3) analyze food security, and (4) analyze the factors that influence food security. This study used a census technique, and 125 respondents were selected. The data were analyzed quantitatively, including GSR (Good Service Ratio) to analyze the welfare of farmer households, HFIAS (Household Food Insecurity Access Scale) with 9 questions related to the availability, quality, and quantity of food. Nutritional Adequacy Rate was used to determine food quantity and Expected Food Pattern to determine food quality, as used in national nutrition recommendations and by the Indonesian Food Security Agency. Binary logit analysis was used to identify factors affecting food security, analyzed using SPSS. The results showed that 56.80% of farmers were food secure. Most (53.60%) of farmers were categorized as less prosperous, with poor food quantity and quality. Expenditure, education, and gender were identified as factors affecting food security among farmer households.
Keywords: Food Security; Inpari Nutri Zinc Rice; Stunting; Welfare
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