IoT-Based Automatic Plant Watering System Using a Soil Moisture Sensor in Tolitoli Regency
DOI:
https://doi.org/10.35334/ykz55b93Keywords:
Internet of Things, Automatic watering, Soil moisture sensor, Telegram BotAbstract
This study aimed to design and build an Internet of Things (IoT)-based automatic plant watering system capable of detecting soil moisture and regulating irrigation independently. The prototype method within the Software Development Life Cycle (SDLC) was used, comprising requirements analysis, system design, prototype development, testing, and evaluation. A NodeMCU ESP8266 served as the controller, a capacitive soil moisture sensor measured soil water content, a DHT11 monitored air temperature and relative humidity, and a relay module controlled the water pump. Testing showed that the soil moisture sensor had a mean error of 3.3% and an accuracy of 96.7%. The DHT11 achieved mean accuracies of 93.3% for temperature and 94.0% for relative humidity. The pump was activated automatically when soil moisture fell below 50% and stopped when moisture reached the programmed 50-75% range. Integration with a Telegram Bot enabled real-time remote monitoring and control. The prototype supports smart-farming applications through an efficient, water-conscious, and accessible automated irrigation system for farmers and household users.
References
[1] Al-Hafiz, N. W., & Erlinda. (2020). Design of an automatic plant watering system using Arduino. Jurnal Teknologi dan Open Source, 3(2), 245-260.
[2] Effendi, N., Ramadhani, W., Farida, F., & Dimas, M. (2022). Design of an IoT-based automatic plant watering system using a soil moisture sensor. Jurnal Computer Science and Information Technology (CoSciTech), 3(2), 91-98.
[3] Harsanto, B. (2020). Internet of Things innovation in the agricultural sector: A scientometric analysis approach. Informatika Pertanian, 29(2), 111-122.
[4] Nanda, A. P., Jeprianto, & Mahdi, M. I. (2024). Automatic soil-moisture-sensor-based plant watering system for increasing agricultural productivity. Technologia: Jurnal Ilmiah, 15(4), 764-774.
[5] Nasution, N., & Hasan, M. A. (2020). IoT in agribusiness: A case study of lettuce in a greenhouse. IT Journal Research and Development (ITJRD), 4(2), 86-93.
[6] Rahmat, S., Ikhsanudin, M., Diani, R., Kusuma, Y. F., Suadah, Ningrum, P. A., Afrianti, Prasetia, I., Sari, N. I., Faina, & Annisa, N. (2021). Processing agricultural products to improve the economy of farmers in Bintan Regency. Jurnal Pengabdian dan Pemberdayaan Masyarakat Kepulauan Riau (JPPM Kepri), 1(2), 155-167. https://doi.org/10.35961/jppmkepri.v1i2.265
[7] Ratnawati, & Silma. (2017). Internet-of-Things-based plant watering control system using Propeller. Jurnal Inspiraton, 7(2), 143-154.
[8] Saragih, K. A., & Kurniawan, R. (2025). IoT-based automatic watering system using Sugeno fuzzy logic for soil moisture control in a greenhouse. Jurnal Algoritma, 22(1), 808-819. https://doi.org/10.33364/algoritma/v.23-1.2327
[9] Siddiq, M. H., Susanti, E., & Gunoto, P. (2023). Design of an Internet-of-Things-based vehicle speed measuring device. Sigma Teknika, 6(1), 117-126.
[10] Sunandar, & Herlawat. (2020). Prototype of an e-mail-based attendance machine at SMP Assyairiyah Attahiriyah Jakarta. Journal of Studens Research in Computer Scince, 1(2), 179-190.
[11] Putri, M. P., Barovih, G., Azdy, R. A., Yuniansyah, Saputra, A., Sriyeni, Y., Rini, A., & Admojo, F. T. (2022). Algorithms and data structures (1st ed.). Widina Bhakti Persada Bandung (Widina Media Utama Group).
[12] Ulinuha, A., & Riza, A. G. (2021). Android-based automatic plant monitoring and watering system using the Blynk application. Abdi Teknoyasa, 26-31. http://journals2.ums.ac.id/index.php/abditeknoyasa/
[13] Wiranto, Musyrifah, & Mansyur, M. F. (2024). Internet-of-Things-based automatic watering and fertilization system with Android application interface monitoring. Jurnal Sistem Informasi dan Informatika (Simika), 7(1), 28-37.
[14] Yahwe, C. P., Isnawaty, & Aksara, L. F. (2016). Development of an SMS-based prototype system for monitoring soil moisture based on plant watering results: A case study of chili and tomato plants. SemanTIK, 2(1), 97-110.
[15] Yanti, D. S., Azis, M. F., & Sidehabi, S. W. (2021). Prototype for automatic plant watering and fertilization with an Internet-of-Things-based monitoring system. Proceedings of the National Seminar on Industrial Technology (SNTI), 8(1), 18-22.


