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Muthia Amira Nasution
Nur Akhlul Nita Br Sembiring
Nazwa Aina Ramadhani Daulay
Inrika Aritonang
Andika Erlangga Erlangga
Solly Aryza

Abstract





The transformation of the agricultural sector toward the Industrial Revolution 4.0 has become a strategic necessity in addressing challenges related to increasing food demand, limited resources, and climate change. However, the adoption of modern agricultural technologies among farmers remains relatively low due to limited knowledge, skills, and access to technology. This community service program aims to enhance the capacity and productivity of farmer groups through assistance in implementing agricultural technology innovations based on Industry 4.0. The implementation methods include socialization of smart farming concepts, training on the use of Internet of Things (IoT)-based technologies for monitoring land and crop conditions, and hands-on assistance in applying the system directly in partner farming areas. Program evaluation was conducted by measuring improvements in farmers’ understanding, technology adoption rates, and comparisons of crop yields before and after technology implementation. The results indicate an increase in farmers’ knowledge and skills in utilizing agricultural technology, as well as improvements in land management efficiency and food production. Therefore, assistance in implementing Industry 4.0-based agricultural technology innovations serves as a strategic solution to support increased food production and sustainable farmer independence.


 





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How to Cite
Nasution, M. A., Sembiring, N. A. N. B., Daulay, N. A. R., Aritonang, I., Erlangga, A. E., & Aryza, S. (2025). Pendampingan Penerapan Inovasi Teknologi Pertanian Menuju Revolusi Industri 4.0 untuk Peningkatan Produksi Pangan. Jurnal Masyarakat Indonesia (Jumas), 4(03), 416–424. Retrieved from https://abdimasjumas.cattleyadf.org/index.php/Jumas/article/view/331
References
[1] Aryza. S Et Al (2024) A Robust Optimization To Dynamic Supplier Decisions And Supply Allocation Problems In The Multi-Retail Industry. Eastern-European Journal Of Enterprise Technologies, (3).
[2] Balafoutis, A., Beck, B., Fountas, S., et al. (2017). Precision agriculture technologies positively contribute to GHG emissions mitigation. Sustainability, 9(8), 1339.
[3] Eastwood, C., Klerkx, L., & Nettle, R. (2017). Dynamics and distribution of public and private research and extension roles for technological innovation and adoption. Journal of Rural Studies, 55, 13–23.
[4] FAO. (2022). The State of Food and Agriculture. Food and Agriculture Organization of the United Nations.
[5] Food and Agriculture Organization. (2022). The State of Food and Agriculture. FAO.
[6] Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
[7] Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0. NJAS: Wageningen Journal of Life Sciences, 90–91, 100315.
[8] Lioutas, E. D., & Charatsari, C. (2020). Smart farming and short food supply chains: Are they compatible? Land Use Policy, 94, 104541.
[9] Rose, D. C., & Chilvers, J. (2018). Agriculture 4.0: Broadening responsible innovation in an era of smart farming. Frontiers in Sustainable Food Systems, 2, 87.
[10] Eastwood, C., Klerkx, L., & Nettle, R. (2017). Dynamics and distribution of public and private research and extension roles for technological innovation and adoption. Journal of Rural Studies, 55, 13–23.