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Sosial dan Ekonomi Pertanian

Vol 3 No 2 (2024): Manajemen Rantai Pasok Pertanian, Pendampingan Belajar Anak, dan Kohesi Sosial Melalui Olahraga.

DISEMINASI INOVASI PRODUKSI DAN DIGITALISASI PEMASARAN UMKM BERBASIS TEKNOLOGI TEPAT GUNA DI DESA TANJUNGSEPREH

Telah diserahkan
June 24, 2026
Diterbitkan
2024-07-19

Abstrak

The empowerment program outlines a transformative approach to community development in Gulun Village by synthesizing Appropriate Technology (TTG) with digital marketing to establish a robust integrated agribusiness ecosystem. The deployment of mechanized instruments systematically eradicated operational inefficiencies and minimized post-harvest waste. Concurrently, the disruption of traditional intermediary supply chains via online platforms catalyzed a substantial leap in net profit margins for local farming households. This financial uplift intrinsically cascades into tangible improvements in community living standards, dietary fulfillment, and educational accessibility. Institutionally, local farmer collectives have metamorphosed from rudimentary groups into professionalized, data-centric rural enterprises, thereby securing enhanced bankability for future institutional credit scaling. Furthermore, the direct-to-consumer (D2C) transaction paradigm ensures affordable and hygienic agricultural commodities for urban buyers, solidifying public confidence in local   food security. On a broader macroeconomic spectrum, this integrated framework sparked a circular economy that successfully absorbed the village youth into newly formed value chains—such as sustainable packaging, online administration, and logistics—thereby actively curbing rural-urban migration. Ultimately, this initiative yields a viable smart agropolitan blueprint for the Magetan Regency Government and validates the Tri Dharma commitment of Universitas Doktor Nugroho in translating scholarly research into pragmatic poverty-alleviation solutions.

Referensi

  1. Ali, A., Hassan, M., & Kaul, H. (2024). Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review. Journal of Agronomy and Crop Science. https://doi.org/10.1111/jac.12732
  2. Bonelli, L., Montesano, F., D’Imperio, M., Gonnella, M., Boari, A., Leoni, B., & Serio, F. (2024). Sensor-Based Fertigation Management Enhances Resource Utilization and Crop Performance in Soilless Strawberry Cultivation. Agronomy. https://doi.org/10.3390/agronomy14030465
  3. Fuentes-Peñailillo, F., Gutter, K., Vega, R., & Silva, G. (2024). Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management. J. Sens. Actuator Networks, 13, 39. https://doi.org/10.3390/jsan13040039
  4. Getahun, S., Kefale, H., & Gelaye, Y. (2024). Application of Precision Agriculture Technologies for Sustainable Crop Production and Environmental Sustainability: A Systematic Review. The Scientific World Journal, 2024. https://doi.org/10.1155/2024/2126734
  5. Hedley, C. (2014). The role of precision agriculture for improved nutrient management on farms.. Journal of the science of food and agriculture, 95 1, 12-9. https://doi.org/10.1002/jsfa.6734
  6. Herlinah, H., Asrul, B., Hs, H., Faisal, M., Lee, S., Gani, H., & Feng, Z. (2024). Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods. ILKOM Jurnal Ilmiah. https://doi.org/10.33096/ilkom.v16i3.2290.305-317
  7. Lu, Y., Gong, M., Li, J., & , J. (2023). Optimizing Controlled Environmental Agriculture for Strawberry Cultivation Using RL-Informer Model. Agronomy. https://doi.org/10.3390/agronomy13082057
  8. Monteiro, A., Santos, S., & Gonçalves, P. (2021). Precision Agriculture for Crop and Livestock Farming—Brief Review. Animals : an Open Access Journal from MDPI, 11. https://doi.org/10.3390/ani11082345
  9. Sachin, K., Dass, A., Dhar, S., Rajanna, G., Singh, T., Sudhishri, S., Sannagoudar, M., Choudhary, A., Kushwaha, H., Praveen, B., Prasad, S., Kumar, V., Pooniya, V., Krishnan, P., Khanna, M., Singh, R., Varatharajan, T., Kumari, K., Nithinkumar, K., San, A., Dollina, A., Huang, M., Li, W., Ishaq, M., Rehmani, A., Sachin, K., T, S., Choudhary, A., Kushwaha, H., Praveen, B., Sharma, V., Sachin, D., Praveen, P., Pooniya, K., & , T. (2023). Sensor-based precision nutrient and irrigation management enhances the physiological performance, water productivity, and yield of soybean under system of crop intensification. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1282217
  10. Singh, V. (2024). Advances in Precision Agriculture Technologies for Sustainable Crop Production. Journal of Scientific Research and Reports. https://doi.org/10.9734/jsrr/2024/v30i21844
  11. Singh, S., Singh, N., Sharda, R., & Sangwan, A. (2020). Effect of drip irrigation, fertigation and mulching on fruit quality of strawberry (Fragaria × ananassa). The Indian Journal of Agricultural Sciences. https://doi.org/10.56093/ijas.v90i3.101471
  12. Xing, Y., & Wang, X. (2024). Precise application of water and fertilizer to crops: challenges and opportunities. Frontiers in Plant Science, 15. https://doi.org/10.3389/fpls.2024.1444560

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