An Internet of Things (IoT)-Based Automatic Watering System Using Sprinklers for Water Efficiency in Kampung Baru Subdistrict
DOI:
https://doi.org/10.61536/konsienti.v4i1.397Keywords:
Automatic Irrigation, Efficiency Water, Internet Things, Smart Farming, Sprinkler SystemAbstract
Abstract:Agriculture in Kampung Baru Village faces water management challenges due to labor-intensive and inefficient manual irrigation methods, especially on the 3.25 ha horticultural land of the Mekar Tani farmer group. This community service aims to implement an IoT-based automatic watering system using sprinklers with an ESP32 microcontroller and the Thinger.io application to improve water efficiency. Using action research with a participatory community development approach, a purposive sample of 20 farmers from five farmer groups (7,421 people) was taken. Instruments including soil moisture sensors, solenoid valves, sprinklers, and ESP32 integrated monitoring applications were analyzed using qualitative-quantitative descriptive techniques and water efficiency formulas. The results show significant water savings, soil moisture stability, optimal growth of horticultural crops (lettuce, mustard greens, kale, spinach, chilies, tomatoes), and increased farmer capacity through training. In conclusion, the IoT system provides a sustainable smart farming model that can be replicated in rural Jambi for food security.
Downloads
References
Creswell, J. W., & Poth, C. N. (2021). Qualitative inquiry and research design: Choosing among five approaches (5th ed.). SAGE Publications.https://doi.org/10.4135/9781483381418
Emzir. (2021). Qualitative research methodology: Data analysis techniques. Pustaka Setia.
Goap, A., Sharma, D., Shukla, A.K., & Krishna, C.R. (2021). An IoT based smart irrigation management system using Machine learning and open source technologies. Computers and Electronics in Agriculture, 180, 105826.https://doi.org/10.1016/j.compag.2020.105826
Halawa, DN (2024). The role of smart farming technology for Indonesia's agricultural generation. Kridatama Journal of Science and Technology, 6(2), 502–512.
Hefri Juanto, B., Nugroho, A., & Nurfiana, S. (2023). Integration of sensors and microcontrollers for IoT-based horticultural land management. Journal of Modern Agricultural Technology, 12(3), 155–166.
Kodali, R. K., Jewargi, P., & Boushetty, S. (2021). IoT based smart greenhouse automation using Arduino. 2016 International Conference on Computing, Communication and Automation (ICCCA), 421–426.https://doi.org/10.1109/CCAA.2016.7579853
Lee, M., & Lee, S. (2021). Development of IoT-based smart farm management system. Journal of Biosystems Engineering, 46(4), 378–387.https://doi.org/10.1007/s42853-021-00115-8
Nawandar, N.K., & Satpute, V.R. (2021). IoT based low cost and intelligent module for smart irrigation system. Computers and Electronics in Agriculture, 162, 979–990.https://doi.org/10.1016/j.compag.2019.05.027
Pamungkas, MA, et al. (2023). Community empowerment through the implementation of smart farming. Community Development Journal, 4(4), 8496–8503.
Potensi, A., et al. (2017). Potential and development of horticultural commodities in Indonesia. Ministry of Agriculture of the Republic of Indonesia.
Rahmawati, R., & Ulum, M. (2022). Business development and marketing of horticultural crops to improve community welfare. Journal of Community Service, 7(2), 123–130.
Sugiyono. (2021). Quantitative, qualitative, and R&D research methods. Pustaka Setia.
Sudaryono. (2022). Community service research methodology. Student Library.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Rahmat Bagus Febrian, Sindi Nisja Waruwu, Rohana Telaumbanua, Nurul Istiqamah, Vera Azikra Yorisa A, Evi Febriyanti Sitorus, Yoga Kurnia Wira Tambega, Dian Lestari Saputri, Ayu Saputri, Amaliya Tuti Anggraeni, Hamdany Maulana, Ridho Tri Rokhandi, M Indra Rizki Pratama, Deri Handrian Putra, Muhammad Robby Farhan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
