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Contact Name
Wiwi Susanti
Contact Email
wiwi.susanti@umy.ac.id
Phone
+6285328737828
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widodo@umy.ac.id
Editorial Address
Secretariat AGRARIS: Journal of Agribusiness and Rural Development Research Ground Floor of F3 Building (Siti Walidah Building), Universitas Muhammadiyah Yogyakarta Jl. Brawijaya, Tamantirto, Kasihan, Bantul, Daerah Istimewa Yogyakarta, Indonesia 55183
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Daerah istimewa yogyakarta
INDONESIA
AGRARIS: Journal of Agribusiness and Rural Development Research
ISSN : 2407814X     EISSN : 25279238     DOI : https://doi.org/10.18196/
AGRARIS: Journal of Agibusiness and Rural Development Research is scientific periodical publication on agribusiness and rural development issue as a media for information dissemination of research result for lecturers, researchers and practitioners. The coverage includes but is not restricted to: Agricultural economics Agricultural Development dan Policy Agricultural Marketing Rural Development Entrepreneurship and Management of Agribusinesses Sustainable Agriculture Agricultural extension, Communication and Education Information Technology in Agribusiness Food Security
Articles 9 Documents
Search results for , issue "Vol. 11 No. 2: July-December 2025" : 9 Documents clear
Social Innovation Approach in Integrated Farming: Advancing Rural Well-Being in Karawang Regency, West Java, Indonesia Arifa, Sheila Hauna; Fahmi, Fikri Zul
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.461

Abstract

Integrated farming systems represent innovative solutions designed to improve farmers’ well-being by increasing income and improving livelihoods in rural communities. By integrating social innovation strategies, this approach helps to promote economic welfare and address challenges such as poverty and limited access to resources. This study delves into the impact of integrated farming, a form of social innovation, on the well-being of rural communities in the Global South. The study centers on Mas Ihsan Bersaudara Farm in Karawang, Indonesia, serving as a compelling case study. An in-depth exploration was conducted within the farm community by including all employees as participants, thereby facilitating comprehensive insights. While integrated farming exhibited characteristics associated with social innovation and enhanced productivity, this study’s findings revealed that its influence on well-being lacked statistical significance. Structural equation modeling (SEM) shed light on the intricate relationships between variables. The findings uncovered that production behavior and management exerted a more substantial impact on productivity than factors directly tied to social innovation. Specifically, productivity accounted for 13.5% of overall well-being, emphasizing that heightened productivity alone did not unilaterally elevate farmers’ well-being. This study has underscored the need for a holistic approach, one transcending mere productivity gains. Key elements included market accessibility, equitable pricing mechanisms, educational interventions, and robust social support systems. By addressing the multifaceted aspects of community life through a combination of direct field surveys that captured farmers’ firsthand perspectives and advanced statistical analysis using SEM, this study contributes to sustainable rural development.
Beef Price Volatility in Indonesia: Before, During, and After the COVID-19 Pandemic Atikah Fajriyah Mubarok; Komalawati; Setiadi, Agus
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.499

Abstract

Indonesia’s beef market has long exhibited structural volatility, which became more pronounced during major disruptions such as COVID-19. Analyzing these fluctuations across different periods is crucial for strengthening market resilience. This paper examines beef price volatility in Indonesia across three critical periods, before the pandemic (2017–2019), during the COVID-19 pandemic (March 2020 – June 2023), and after the pandemic (June 2023 onward), and identifies the key factors influencing it. Daily price data for beef, chicken meat, and eggs were obtained from the Indonesian Strategic Food Price Information Center (PIHPS) for 2017–2024 and analyzed using the GARCH (1,1) model and logarithmic regression with crisis dummy variables. The results show that beef price volatility increased significantly during the pandemic and remained high in the new normal period, confirming the long-term persistence of price shocks. Significant influencing factors include the COVID-19 pandemic, seasonal events (Ramadan and Eid al-Fitr), the price and volatility of chicken meat, and lagged beef imports from previous periods. The methodological contribution of this study lies in the use of daily data and a time-lag structure that captures short-term dynamics more accurately. These results underscore the need for structural reform, daily price monitoring systems, and adaptive market intervention to strengthen Indonesia’s food security and market resilience.
Strengthening Agricultural Regeneration: Determinants of Young Farmers’ Performance in Sub-Urban Villages Sudrajat, Jajat; Fitrianti, Wanti; Suyatno, Adi
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.503

Abstract

Farmer regeneration in Indonesia is faced with severe challenges, and it is predicted that this may lead to a decrease in the national food production ability. Therefore, strategic effort is required to facilitate the regeneration process. In this study, we aimed to analyze the dynamics of farmer regeneration in sub-urban villages and the determinants of the farming performance of a young farmer. The research method employed a mixed approach between qualitative and quantitative perspectives. In the quantitative method, we purposively selected 51 young farmers as samples for interview. The qualitative approach was used to explain the dynamics of regeneration behavior, whereas the quantitative approach based on Spearman correlation was used to analyze a few critical variables, which exhibited a strong correlation with a young farmer farming performance. The research results revealed a dynamic behavior of a farmer child, determining their entry into or exit from agriculture, and that farming income was the main determinant of decision-making in entering the agriculture sector. The analysis further revealed that a young farmer farming performance correlated significantly with their agricultural entrepreneurship orientation, which covers the feeling of confidence, patience, and perseverance in farming. Further, their farming performance was also correlated significantly with access to external finance  and agricultural education in the family. These results provide valuable insights regarding the importance of the empowerment strategy, particularly at farmer household level, in encouraging effective farmer regeneration.
Consumer Behavior and Purchasing Decisions toward Native Chicken in Sakon Nakhon Province, Thailand Lertjunthuk, Laddawan; Srilapat, Chanoknan; Sriwaranun, Yaowarat; Rapankum, Narawut; Konkan, Thanada; Hanmontree, Rueangrit
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.522

Abstract

Chicken meat is an important food commodity, and growing consumer attention to food safety, nutrition, and product quality has increased interest in native chicken markets in Thailand. The study also provided information on the purchasing behavior of native chicken consumers. A multi-stage sampling method was employed to determine the 400 native chicken consumers. The primary data were collected using a structured questionnaire, and a binary logistic regression analysis was employed to identify the factors that affect consumers' decisions to purchase native chickens. The findings revealed that consumers preferred to buy whole-dressed native chicken 4 to 5 times a month, spending less than 272.46 USD. The binary logistic regression results showed that motivation, perception, price, and place significantly influenced consumers' decisions to purchase native chickens. Farmers and marketers should emphasize creating incentives and raising awareness among consumers about the quality, taste, and nutritional value of native chicken to encourage more purchases. These findings offer practical insights into native chicken consumer behavior and decision-making, with implications for expanding local and global native chicken markets.
Advancing Local Livestock: A Strategic Community-Based Development For Pasundan Cattle Breeding In West Java Tsani, Ashrul; Sulistyowati, Lies; Setiawan, Iwan; Darodjah, Raden Siti
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.687

Abstract

The native Pasundan cattle breed from West Java, Indonesia, delivers essential economic and ecological benefits to the local rural communities due to their exceptional adaptability and resilience. Unfortunately, the full potential of Pasundan cattle remains untapped owing to restricted access to breeding technology, insufficient institutional support, and minimal community participation. This study investigated the key drivers of community roles and community empowerment levels in Pasundan cattle breeding in West Java, Indonesia. Using Structural Equation Modeling–Partial Least Squares (SEM-PLS) on data collected from 191 farmers in Sukabumi and Ciamis, this research examined six variables: Pasundan cattle characteristics, farmer characteristics, breeding technology, supporting institutions, community dynamics, and community roles. The findings revealed that breeding technology, farmer characteristics, and community dynamics considerably influenced community roles, while Pasundan cattle characteristics, breeding technology, and community dynamics directly impacted community empowerment levels. Community roles significantly influenced community empowerment levels. Furthermore, community roles served as a solid mediating variable, linking key factors such as farmer characteristics and breeding technology to community empowerment levels. Despite the lack of direct relevance of supporting institutions, its alignment with grassroots efforts remained essential. This study stands apart from earlier research by combining socio-economic, institutional, and technological perspectives to establish a specialized framework designed for Pasundan cattle farming needs.
Understanding Poverty and Social Assistance Distribution: A Multidimensional Approach to Rural Poverty in Indonesia Hakim, Lukman; Kolopaking, Lala M.; Sjaf, Sofyan; Kinseng, Rilus A.
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.725

Abstract

Poverty is a crucial issue to address in sustainable development, particularly in rural areas. Despite the government’s attempts to intervene through social assistance programs for people experiencing poverty, poverty remains unabated. This study investigated rural poverty in Indonesia using three major analytical frameworks: the World Bank’s poverty line, the BPS-Statistics Indonesia poverty line, and Indonesia’s Law on Poverty Alleviation. Employing a quantitative approach with 289 respondents across three villages in West Java, the study integrated income-based and access-based indicators to construct six categories of poverty: (1) extreme poverty, (2) vulnerable to extreme poverty, (3) non-monetary poverty, (4) regional poverty, (5) vulnerable to regional poverty, and (6) non-poor. The findings revealed that 35.99% of social assistance distribution was misallocated, with 12.46% of poor people excluded and 23.53% of non-poor beneficiaries incorrectly included. By introducing a refined, empirically grounded classification system, this research enhanced multidimensional poverty measurement and advocated for systemic reforms in data collection to improve the accuracy and targeting of rural social assistance programs.
Enhancing Climate Change Resilience: Ethnicity and Gender-Sensitive in Climate-Smart Agriculture Options Implemented in Vietnam Anh, Nguyen Hung; Vinh, Bui Le
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.745

Abstract

Agricultural livelihoods in Vietnam’s Northern Mountain Region are shaped by ethnic diversity, gendered labor dynamics, and growing exposure to climate change. This study seeks to examine social disparities, particularly those related to gender and ethnicity, in farmers’ adoption of Climate-Smart Agriculture Technologies and Practices (CSA T&Ps) to enhance climate change resilience in the Northern Mountain Region of Vietnam. Socioeconomic factors, the climate-related knowledge, perception, and attitude of local farmers influencing the adoption of CSA T&Ps were tested using dichotomous logistic regression. The results revealed significant ethnic disparities affecting access to climate-smart agriculture (CSA) training and resources in Vietnam’s Northern Mountain Region. While gender inequalities in CSA adoption were minimal, ethnic minority farmers encountered substantial barriers compared to majority groups, impacting their climate adaptation capacity. Key determinants of CSA adoption included participation in training, access to climate and agricultural extension services, and local perceptions of the impacts of climate change. These findings highlight the need for socially inclusive policies addressing ethnic and social disparities to enhance CSA scaling and build climate resilience in marginalized farming communities.
Adoption of Sandy Coastal Farming Technology in Indonesia: A Household Economics Analysis Fauzan, Muhammad; Syaukat, Yusman; Kusnadi, Nunung; Baga, Lukman Mohammad
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.814

Abstract

Sandy coastal farming has become a crucial livelihood strategy in Indonesia's marginal coastal areas, yet technology adoption remains uneven across farmer households. This study examines how the economic behavior of farmer households influences the intensity of sandy coastal farming technology adoption and analyzes how changes in internal and external factors impact adoption, production, labor allocation, income, and expenditure. Using primary cross-sectional data from 196 farmer households in Bantul Regency, Yogyakarta, the study applies an integrated household economic model estimated as a system of simultaneous equations using the Two-Stage Least Squares method. Technology adoption is represented through the allocation of cultivated land and the use of soil-improving inputs, allowing for the examination of adoption intensity within a unified household decision framework. The results show that adoption intensity is primarily driven by household income and family labor availability, with cultivated area acting as a key transmission channel linking income to input use and production outcomes. Higher returns from sandy coastal farming induce substitution toward hired labor rather than proportional increases in family labor. Simulation results indicate that output price incentives strengthen adoption through income and scale effects, while reductions in irrigated land weaken adoption by tightening household resource constraints. These findings underscore the significance of income stability and access to resources in maintaining high adoption intensity in marginal land systems.
Determinants of Income and Profitability in Smallholder Seaweed Farming and Their Implications for Rural Livelihoods in Indonesia Saville, Ramadhona; Nafysa, Enza; Hatanaka, Katsumori; Shimoguchi, Nina N.; Pratiwi, Chairani P.
AGRARIS: Journal of Agribusiness and Rural Development Research Vol. 11 No. 2: July-December 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v11i2.815

Abstract

The rural population in Indonesia, heavily reliant on agriculture and fishery, constitutes approximately 60% of the nation's population. Seaweed cultivation has emerged as a significant economic activity among coastal communities, particularly in Seriwe Village, West Nusa Tenggara Province. Despite its significance, studies detailing financial viability and profitability in rural-level seaweed farming remain scarce, limiting effective management and targeted policy interventions. This study assessed the profitability and business feasibility of seaweed cultivation and identified factors influencing the income of seaweed farmers in the village. Utilizing multiple regression analysis, we standardized variable data and evaluated factors such as gender, experience, age, education, cultivation area, seed price, selling price, labor, and capital investment. Data collection involved interviews with 50 seaweed farmers and five middlemen, focusing on sociodemographic profiles, variable and fixed costs, and revenue. The Revenue Cost Ratio of 1.84 confirms the economic viability of seaweed farming, demonstrating substantial profitability in Seriwe Village. The multiple regression analysis results, with an adjusted R-squared value of 0.985, indicated that the cultivation area, capital investment, and selling price significantly influence farmers' income (p < 0.001). Gender and age also played a significant role (p < 0.05). Practical strategies to increase seaweed farmers’ income include forming farmers' groups and cleaning the harvested seaweed. Understanding these factors is crucial for implementing effective interventions and policies to support seaweed farmers. This study highlights the importance of targeted support, such as training programs, to empower farmers and enhance the economic resilience of coastal communities.

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