Pemberdayaan Masyarakat Melalui Implementasi IoT pada Sistem Penyiraman Otomatis Berkelanjutan
Abstract
The rapid development of Internet of Things (IoT) technology has significantly transformed various sectors, including smart irrigation systems for residential and agricultural applications. This community engagement program aims to introduce and implement an automated irrigation system based on IoT to enhance water efficiency and reduce manual labor in plant care. The program was conducted in Manis Jaya, Tangerang, involving local youth and community members through seminars and hands-on workshops. The results showed that 80% of participants demonstrated an improved understanding of IoT technology, and a majority expressed willingness to adopt the system in their households. Additionally, the automated irrigation system reduced water consumption by 25–30% compared to manual methods, demonstrating its effectiveness in sustainable water management. This study highlights the potential of IoT-driven smart agriculture in urban environments, providing data-driven irrigation solutions to optimize water usage. Future developments should focus on integrating Artificial Intelligence (AI) for predictive irrigation based on environmental conditions and expanding public training programs for broader adoption. This initiative contributes to enhancing digital literacy, water conservation, and sustainable urban agriculture through accessible technological innovation.
Keywords
Full Text:
PDFReferences
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010
Chafid, N. (2021). Rancang bangun alat penyiraman tanaman otomatis berbasis arduino danberbasis web. PROSIDING, 3, 209–217.
David, J., Patel, H., & Shah, M. (2015). Smart irrigation system using IoT. International Journal of Advanced Research in Computer Engineering & Technology, 4(5), 2257–2261.
Gupta, A., Gupta, S., Memoria, M., Kumar, R., Kumar, S., Singh, D., Tyagi, S., & Ansari, N. (2022). Artificial intelligence and Smart Cities: A bibliometric analysis. 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 1, 540–544. https://ieeexplore.ieee.org/abstract/document/9850656/
Gupta, P., & Srivastava, G. (2021). IoT and smart farming: Applications and challenges. International Journal of Engineering Research and Technology, 10(3), 123–134.
Guven, G., Kozcu Cakir, N., Sulun, Y., Cetin, G., & Guven, E. (2022). Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching. Journal of Research on Technology in Education, 54(1), 108–126. https://doi.org/10.1080/15391523.2020.1812136
Kumar, A. (2019). Internet of Things (IoT) based smart irrigation system: A case study. International Journal of Agricultural Technology, 15(5), 857–872.
Kurniawan, B. A. (2015). Alat penyiram tanaman otomatis dengan logika fuzzy berbasis Atmega16. Jurnal Teknik Elektro, 16(1), 1–8.
Ridwan, M., & Nurpulaela, L. (2022). Pengaplikasian sistem IoT pada alat penyiram tanaman otomatis berbasis Arduino Nano. Jurnal Teknik Informatika, 7(1), 26–31.
Zhang, L., Yang, Y., & Zhao, X. (2020). Optimization of smart irrigation system using IoT and AI. Journal of Environmental Management, 260, 110098. https://doi.org/10.1016/j.jenvman.2020.110098
Zhu, Q., Wang, R., Chen, Q., Liu, Y., & Qin, W. (2018). IoT-based smart irrigation system for agriculture. Journal of Sensors, 2018, 1–8. https://doi.org/10.1155/2018/2871371
DOI: http://dx.doi.org/10.31000/cswb.v4i2.13748
Article Metrics
Abstract - 4 PDF - 8DOI (PDF): http://dx.doi.org/10.31000/cswb.v4i2.13748.g6225
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Community Services and Social Work Bulletin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Community Services and Social Work Bulletin is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .