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All Journal Tarjih: Agribusiness Development Journal
Ahfandi Ahmad
Master's Program in Applied Agribusiness Innovation Management, Politeknik Negeri Lampung, Indonesia
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Environmental Science Social Sciences

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Transformation of Agricultural Extension Communication in the Artificial Intelligence Era: A Systematic Literature Review Rachmat; Eka; Rafiq; Jumiati; Arifin Fattah; Ahfandi Ahmad
Tarjih : Agribusiness Development Journal Vol. 6 No. 01 (2026): VOLUME 06, NOMOR 01, JUNI 2026
Publisher : Program Studi Agribisnis Universitas Muhammadiyah Sinjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47030/tadj.v6i01.1148

Abstract

The digital transformation of agriculture has reshaped how extension information is produced, delivered, and used by farmers. This study synthesizes research on agricultural extension communication in the artificial intelligence (AI) era, identifies major communication changes, and examines the benefits, challenges, and social implications of AI-based advisory services. A systematic literature review was conducted using the PRISMA 2020 framework. Articles published from 2019 to 2025 were searched in Scopus, ScienceDirect, SpringerLink, Taylor & Francis, and Google Scholar. After identification, duplicate removal, screening, eligibility assessment, and quality appraisal, 15 studies that directly met the inclusion criteria were analyzed through content analysis and thematic synthesis. The findings show that AI shifts extension communication from a conventional, linear, and top-down model toward a data-driven, interactive, personalized, and participatory advisory system. Machine learning, decision support systems, predictive analytics, agricultural chatbots, virtual assistants, and smart farming platforms improve information delivery, advisory personalization, and farmer decision-making. However, implementation is constrained by rural digital divides, limited technological literacy, data quality and bias, algorithmic opacity, inadequate infrastructure, and the risk of weakening farmer-extension worker relationships. The study proposes a Human-Centered AI Extension Communication Model that positions AI as an augmenting tool for participatory extension rather than as a substitute for the social, cultural, and facilitative roles of agricultural extension workers.
Rice Farming Productivity Amid Seasonal Changes: A Case Study of Kaloling Village, Sinjai Megawati; Fadilah Nurdin; Ahfandi Ahmad; Nilmalasari; Risma Niswati Tarman
Tarjih : Agribusiness Development Journal Vol. 6 No. 01 (2026): VOLUME 06, NOMOR 01, JUNI 2026
Publisher : Program Studi Agribisnis Universitas Muhammadiyah Sinjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47030/tadj.v6i01.1162

Abstract

Seasonal variability has become a major constraint for rice farming in rainfed and simple-irrigated areas. This study aimed to analyze the effect of seasonal changes on rice farming productivity in Kaloling Village, East Sinjai District, Sinjai Regency. Seasonal change was measured using three indicators: planting time shift, water availability condition, and increasing pest attack, while productivity was measured through land, labor, capital, technology adoption, and planting intensity indicators. The study employed a quantitative descriptive-associative approach. The population consisted of 411 members of 12 farmer groups, and 41 respondents were selected using proportionate sampling. Data were collected through observation, questionnaires, interviews, and documentation, and analyzed using multiple linear regression. The results showed that planting time shift had a negative and significant effect on rice farming productivity (t = -7.723; p < 0.001), water availability condition had a positive and significant effect and became the dominant factor (t = 8.086; p < 0.001), and increasing pest attack had a negative and significant effect (t = -2.203; p = 0.034). Simultaneously, the three variables significantly affected rice farming productivity (F = 23.444; p < 0.001), with an R-square value of 0.655. These findings indicate that adaptive strategies should prioritize water management, synchronized planting calendars, and integrated pest control to sustain rice productivity under seasonal uncertainty.
The Effect of Agricultural Extension on The Level of Knowledge Among Rice Farmers In Kaloling Village, East Sinjai Subdistrict, Sinjai Regency Ahfandi Ahmad; Megawati; Fadilah Nurdin; Nurhalyza; Risma Niswati Tarman
Tarjih : Agribusiness Development Journal Vol. 6 No. 01 (2026): VOLUME 06, NOMOR 01, JUNI 2026
Publisher : Program Studi Agribisnis Universitas Muhammadiyah Sinjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47030/tadj.v6i01.1167

Abstract

This study aims to analyze the effects of extension intensity, extension materials, extension methods, and extension workers’ competencies on the knowledge levels of rice farmers. The study employed a quantitative approach using descriptive and associative (causal) research methods. Data were collected through a questionnaire distributed to 41 farmers selected using proportionate sampling, and then analyzed using multiple linear regression with the aid of SPSS version 26. The results of the study indicate that, individually, extension content (Sig. = 0.002) and extension methods (Sig. = 0.000) have a positive and significant effect on farmers’ knowledge levels, whereas extension intensity (Sig. = 0.109) and extension workers’ competence (Sig. = 0.266) do not have a significant effect. Simultaneously, all four variables had a significant effect on farmers’ knowledge levels, with an F-calculated value of 142.947 and a significance level of 0.000. The coefficient of determination (R²) value of 0.941 indicates that 94.1% of the variation in farmers’ knowledge levels can be explained by the research model, while 5.9% is influenced by other factors outside the model. The results of this study indicate that the quality of materials and the application of appropriate extension methods are key factors in improving rice farmers’ knowledge; therefore, these aspects require attention in the implementation of agricultural extension programs.
Co-Authors Arifin Fattah Eka Fadilah Nurdin Jumiati Megawati Nilmalasari Nurhalyza Rachmat Rafiq Risma Niswati Tarman