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All Journal Jurnal Pembangunan dan Alam Lestari AGRISE Habitat Agricore: Jurnal Agribisnis dan Sosial Ekonomi Pertanian Unpad E-Dimas: Jurnal Pengabdian kepada Masyarakat JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) JMM (Jurnal Masyarakat Mandiri) Cakrawala: Jurnal Litbang Kebijakan Agro Bali: Agricultural Journal JAPI: Jurnal Akses Pengabdian Indonesia
Rachman Hartono
Program Studi Agribisnis, Fakultas Pertanian, Universitas Brawijaya Malang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Health Professions Nursing Public Health Social Sciences Other

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Journal : Habitat

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Price Volatility of Horticulture Commodity During the Pandemic in East Java, Indonesia Hartono, Rachman; Rahman, Moh. Shadiqur; Retnoningsih, Dwi; Shaleh, Mohammad Ilyas
HABITAT Vol. 34 No. 3 (2023): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2023.034.3.25

Abstract

In the past two years, market information and the distribution of agricultural products have been affected by the COVID-19 pandemic, which has limited the distribution of information and the movement of agricultural products. As a result, the COVID-19 pandemic can lead to non-competitive behavior among intermediary traders, especially those operating in concentrated markets. This research aims to analyze the price volatility of horticulture commodity during the pandemic in East Java, Indonesia. The research data was collected through the official website of the Information System for Availability and Price Development of Basic Necessities in East Java (SISKAPERBAPO). The method used to analyze the impact of COVID-19 on horticultural agricultural product prices is ARCH (Autoregressive Conditional Heteroscedastic) and GARCH (Generalized Autoregressive Conditional Heteroscedasticity). The volatility results show that the prices of chili and shallots often fluctuate with high and unpredictable variations. However, the fluctuations in the prices of these two commodities are not due to a lack of supply or high demand, but rather due to the characteristics of these commodities, which are perishable and highly dependent on the season of production. The lower the quality, the lower the price will be. The price of shallots is relatively stable compared to chili due to its longer shelf life and less depreciation. The constraint faced by farmers of these two commodities during harvest time is the lack of storage facilities to store their harvest, forcing them to sell all their produce to middlemen or traders, which is one of the causes of the fluctuation of commodity prices.
Analysis of Factors Affecting Rice Farmers' Intentions in the Use of Smart Farming Technology in Kanigoro Village, Pagelaran Sub-District, Malang Regency Aulia, Syifa; Riana, Fitria Dina; Hartono, Rachman; Nugroho, Tri Wahyu; Meitasari, Deny; Rahman, Moh. Shadiqur
HABITAT Vol. 36 No. 3 (2025): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2025.036.3.21

Abstract

The low adoption of smart farming technology among farmers, despite the availability of tools in Kanigoro Village, Pagelaran Subdistrict, is the main issue addressed in this study. Technologies such as the Smart Soil Sensor and Bird Control Sound System have not been optimally utilized, even though they can improve agricultural efficiency and productivity. This study aims to analyze the influence of attitude, subjective norm, and perceived behavioral control on farmers’ intention to adopt smart farming technology, using the Theory of Planned Behavior (TPB) framework. The research employed a quantitative approach involving 100 rice farmers, with data collected through structured questionnaires and direct interviews. Data were analyzed using Structural Equation Modeling - Partial Least Square (SEM-PLS) with the help of WarpPLS 7.0 software. The results show that all three independent variables-attitude, subjective norm, and perceived behavioral control-have a positive and significant effect on farmers’ intention. Among these, perceived behavioral control has the most dominant influence, followed by subjective norm and attitude. These findings suggest that beyond building positive attitudes, it is essential to strengthen social support and increase farmers' confidence in their ability and access to technology to enhance the adoption of smart farming practices.
Co-Authors Abdul Manab Agung Pamujiyanto Alfianita Pramudyawardani Andrean Eka Hardana Anggraeni, Anindita Putri Puspita Anisa Aprilia Arif Yustian Maulana Noor Aulia, Syifa Budi Setiawan Deny Meitasari Djoko Koestiono Dwi Laila Maulida Dwi Retnoningsih EFFY YUSWITA Fitria Dina Riana Hardana, Andrean Eka Heptari Elita Dewi Hermanto, Andri Hery Toiba Imam Syafi’i Imaniar Ilmi Pariasa Lygi, Yasmin Mangku Purnomo Moh. Wahyudi Priyanto Noor, Arif Yustian Maulana Novi Haryati Novi Haryati Nugroho, Tri Wahyu Prasetyaningrum, Dian Islami Premy Puspitawati Rahayu Putri, Della Aprilia Danaparamita Rahman, Moh. Shadiqur Ria Dewi Andriani Sambhoro, Farrel Rizqi Sa’adah, Siti Lailatus Shaleh, Mohammad Ilyas Silvana Maulidah Utomo, Medea Rahmadhani Wijayanto, Hari Wahyu Ynez Juylette Siregar Yusron Sugiarto Yuswita, Effy