PEMANFAATAN SISTEM CERDAS IRIGASI SEBAGAI SOLUSI MANAJEMEN IRIGASI DI DESA SUKAJAYA KECAMATAN MALANGBONG KABUPATEN GARUT

Authors

  • Oscar Hadikaryana Universitas Kebangsaan Republik Indonesia
  • Iim Abdurrohim Universitas Kebangsaan Republik Indonesia
  • Irman Hariman Universitas Kebangsaan Republik Indonesia
  • Yasri Universitas Kebangsaan Republik Indonesia
  • Alkautsar Rahman Universitas Kebangsaan Republik Indonesia
  • Deni Suprihadi Universitas Kebangsaan Republik Indonesia
  • Subhanjaya Angga Atmaja Universitas Kebangsaan Republik Indonesia
  • Suharyanto Universitas Kebangsaan Republik Indonesia

DOI:

https://doi.org/10.31848/jpkmkebangsaan.v1i2.4352

Keywords:

sistem cerdas, Internet of Things, irigasi pertanian, pengabdian masyarakat, pertanian presisi

Abstract

This community service activity was conducted in Sukajaya Village, Malangbong District, Garut Regency, aiming to enhance farmers’ technological literacy through the implementation of a smart irrigation system based on the Internet of Things (IoT) and Artificial Intelligence (AI). The main problem faced by the community is the inefficiency in water use and manual irrigation management. The program employed a Participatory Action Learning (PAL) approach, engaging local farmers in hands-on learning and technology application. The activities consisted of seminars, training sessions, and live demonstrations of an automatic irrigation system integrating soil moisture sensors and IoT modules to regulate watering automatically. Evaluation results indicated a 68% increase in participants’ understanding of smart system concepts and their applications in agriculture. Participants also showed strong enthusiasm to develop similar systems in their own fields. This program demonstrates that participatory-based education effectively bridges the technological gap between universities and rural communities, serving as an initial step toward the adoption of sustainable precision agriculture.

References

• Khan, M. A., Li, X., & Zhao, J. (2022). Machine Learning-Based Smart Irrigation System for Precision Agriculture. Journal of Agricultural Informatics, 13(2), 45–59.

• Li, T., Wang, C., & Han, Y. (2020). IoT-Based Water Management in Agriculture: A Review. Smart Agricultural Systems, 4(1), 22–35.

• Priyono, D., Suryani, T., & Putra, M. (2023). Community Readiness and Technology Adoption in Smart Farming Systems. Indonesian Journal of Community Engagement, 5(1), 14–28.

• Suryani, T., & Putra, A. (2020). Knowledge Transfer in University-Community Engagement Programs. Journal of Extension and Society, 8(3), 55–67.

• Zhao, L., Xu, M., & Zhou, Q. (2021). Smart Agriculture and IoT Applications for Sustainable Irrigation Management. IEEE Access, 9, 14537–14549.

• Abdurrohim, I., Uddin, B., Atmaja, S. A., Millah, A. S., & Khoiriyah, R. (2024). Blockchain-Based Framework for Enhancing Data Security in IoT Systems. The Journal of Academic Science, 1(8), 1063-1073.

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Published

2025-10-22

How to Cite

Hadikaryana, O. ., Abdurrohim, I., Hariman, I., Yasri, Rahman, A. ., Suprihadi, D. ., Atmaja, S. A. ., & Suharyanto. (2025). PEMANFAATAN SISTEM CERDAS IRIGASI SEBAGAI SOLUSI MANAJEMEN IRIGASI DI DESA SUKAJAYA KECAMATAN MALANGBONG KABUPATEN GARUT. JURNAL PENGABDIAN KEPADA MASYARAKAT (JPKM) KEBANGSAAN, 1(2), 51–57. https://doi.org/10.31848/jpkmkebangsaan.v1i2.4352

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Articles