Adopsi Mobile Farming dan DSS dalam Pengambilan Keputusan Usaha Tani Sugihwaras
Keywords:
mobile farming; decision support system; digital agriculture; technology adoption; farm decision-makingAbstract
Digital agriculture can reduce information asymmetry and support farm decisions, yet adoption among smallholders depends on perceived benefits, usability, and enabling conditions. This study draft examines the adoption of mobile farming applications and decision support systems (DSS) for farm decision-making in Sugihwaras Village, Maospati, Magetan. An explanatory cross-sectional design is proposed. Because primary field data were not supplied, the present results use an explicitly simulated dataset of 96 farmers for manuscript development. Descriptive analysis and multiple regression indicate a relatively high mobile farming adoption score, moderate DSS use, and high perceived decision quality. Performance expectancy, facilitating conditions, social influence, and age are associated with mobile adoption, while mobile farming and DSS use are positively associated with decision quality. The findings framework highlights the need for user-friendly applications, reliable connectivity, farmer-group-based training, and extension support. Empirical field data are required before publication.
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Ahikiriza, E., Wesana, J., Van Huylenbroeck, G., Kabbiri, R., De Steur, H., Lauwers, L., & Gellynck, X. (2022). Farmer knowledge and the intention to use smartphone-based information management technologies in Uganda. Computers and Electronics in Agriculture, 202, 107413. https://doi.org/10.1016/j.compag.2022.107413
Ara, I., Turner, L., Harrison, M. T., Monjardino, M., deVoil, P., & Rodriguez, D. (2021). Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review. Agricultural Water Management, 257, 107161. https://doi.org/10.1016/j.agwat.2021.107161
Borrero, J. D., & Mariscal, J. (2022). A case study of a digital data platform for the agricultural sector: A valuable decision support system for small farmers. Agriculture, 12(6), 767. https://doi.org/10.3390/agriculture12060767
Coggins, S., McCampbell, M., Sharma, A., Sharma, R., Haefele, S. M., Karki, E., Hetherington, J., Smith, J., & Brown, B. (2022). How have smallholder farmers used digital extension tools? Developer and user voices from Sub-Saharan Africa, South Asia and Southeast Asia. Global Food Security, 32, 100577. https://doi.org/10.1016/j.gfs.2021.100577
Cotter, M., Asch, F., Abera, B. B., Chuma, B. A., Senthilkumar, K., Rajaona, A., Razafindrazaka, A., Saito, K., & Stuerz, S. (2020). Creating the data basis to adapt agricultural decision support tools to new environments, land management and climate change—A case study of the RiceAdvice App. Journal of Agronomy and Crop Science, 206(4), 423–432. https://doi.org/10.1111/jac.12421
Fox, G., Mooney, J., Rosati, P., & Lynn, T. (2021). AgriTech innovators: A study of initial adoption and continued use of a mobile digital platform by family-operated farming enterprises. Agriculture, 11(12), 1283. https://doi.org/10.3390/agriculture11121283
Htun, N.-N., Rojo, D., Ooge, J., De Croon, R., Kasimati, A., & Verbert, K. (2022). Developing visual-assisted decision support systems across diverse agricultural use cases. Agriculture, 12(7), 1027. https://doi.org/10.3390/agriculture12071027
Istomo, Hartoyo, A. P. P., & Rahaju, S. (2023). Peningkatan pengetahuan kelompok tani melalui pelatihan budi daya porang di Desa Sugihwaras, Magetan, Jawa Timur. Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat, 9(1), 1–9. https://doi.org/10.29244/agrokreatif.9.1.1-9
Landmann, D., Lagerkvist, C.-J., & Otter, V. (2021). Determinants of small-scale farmers’ intention to use smartphones for generating agricultural knowledge in developing countries: Evidence from rural India. The European Journal of Development Research, 33, 1435–1454. https://doi.org/10.1057/s41287-020-00284-x
Li, J., Liu, G., Chen, Y., & Li, R. (2023). Study on the influence mechanism of adoption of smart agriculture technology behavior. Scientific Reports, 13, 8554. https://doi.org/10.1038/s41598-023-35091-x
Mariyono, J., Santoso, S. I., Waskito, J., & Utomo, A. A. S. (2022). Usage of mobile phones to support management of agribusiness activities in Indonesia. Aslib Journal of Information Management, 74(1), 110–134. https://doi.org/10.1108/AJIM-02-2021-0053
Mehrabi, Z., McDowell, M. J., Ricciardi, V., Levers, C., Martinez, J. D., Mehrabi, N., Wittman, H., Ramankutty, N., & Jarvis, A. (2021). The global divide in data-driven farming. Nature Sustainability, 4, 154–160. https://doi.org/10.1038/s41893-020-00631-0
Mir, S. A., & Padma, T. (2020). Integrated technology acceptance model for the evaluation of agricultural decision support systems. Journal of Global Information Technology Management, 23(2), 138–164. https://doi.org/10.1080/1097198X.2020.1752083
Molina-Maturano, J., Verhulst, N., Tur-Cardona, J., Güereña, D. T., Gardeazábal-Monsalve, A., Govaerts, B., & Speelman, S. (2021). Understanding smallholder farmers’ intention to adopt agricultural apps: The role of mastery approach and innovation hubs in Mexico. Agronomy, 11(2), 194. https://doi.org/10.3390/agronomy11020194
Nurjanah, D., Dinarti, S. I., Firmansyah, E., Mawandha, H. G., Purwadi, Puruhito, D. D., Fadhilah, N. A., & Dana, W. S. (2024). Pemanfaatan Aplikasi SawitKita (Smallholders Assisted With Information Technology) dalam mendukung penerapan Good Agricultural Practices (GAP). Jurnal Penyuluhan, 20(1), 56–68. https://doi.org/10.25015/20202445768
Power, D. J. (2002). Decision support systems: Concepts and resources for managers. Quorum Books.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Ronaghi, M. H., & Forouharfar, A. (2020). A contextualized study of the usage of the Internet of Things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model (UTAUT). Technology in Society, 63, 101415. https://doi.org/10.1016/j.techsoc.2020.101415
Shang, L., Heckelei, T., Gerullis, M. K., Börner, J., & Rasch, S. (2021). Adoption and diffusion of digital farming technologies—Integrating farm-level evidence and system interaction. Agricultural Systems, 190, 103074. https://doi.org/10.1016/j.agsy.2021.103074
Sihombing, M. T., Hubeis, M., & Cahyadi, E. R. (2024). Analisis adopsi dan penggunaan aplikasi pertanian digital oleh petani skala kecil di Kabupaten Tuban dengan model UTAUT. MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah, 19(2), 80–92. https://doi.org/10.29244/mikm.19.2.78-90
Thar, S. P., Ramilan, T., Farquharson, R. J., Pang, A., & Chen, D. (2021). An empirical analysis of the use of agricultural mobile applications among smallholder farmers in Myanmar. The Electronic Journal of Information Systems in Developing Countries, 87(2), e12159. https://doi.org/10.1002/isd2.12159
Zhai, Z., Martínez, J. F., Beltran, V., & Martínez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256. https://doi.org/10.1016/j.compag.2020.105256
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