Sistem Monitoring Kelembapan Media Tanam dan Level Air Berbasis ESP32-MQTT
DOI:
https://doi.org/10.62951/switch.v4i3.865Keywords:
ESP32-MQTT, Growing Media Moisture, Monitoring, Node-RED, Water LevelAbstract
This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.
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Abdelmoneim, A. A., Al Kalaany, C. M., Khadra, R., Derardja, B., & Dragonetti, G. (2025). Calibration of low-cost capacitive soil moisture sensors for irrigation management applications. Sensors, 25(2), 343. https://doi.org/10.3390/s25020343
Abu Sneineh, A., & Shabaneh, A. A. A. (2023). Design of a smart hydroponics monitoring system using an ESP32 microcontroller and the Internet of Things. MethodsX, 11, 102401. https://doi.org/10.1016/j.mex.2023.102401
Abu Sneineh, A., & Shabaneh, A. A. A. (2023). Design of a smart hydroponics monitoring system using an ESP32 microcontroller and the Internet of Things. MethodsX, 11, 102401. https://doi.org/10.1016/j.mex.2023.102401
Alreshidi, E. (2019). Smart sustainable agriculture (SSA) solution underpinned by Internet of Things (IoT) and artificial intelligence (AI). arXiv. https://arxiv.org/abs/1906.03106
Alselek, M., Alcaraz-Calero, J. M., Segura-Garcia, J., & Wang, Q. (2022). Water IoT monitoring system for aquaponics health and fishery applications. Sensors, 22(19), 7679. https://doi.org/10.3390/s22197679
Ayon, M. F. I., Nahar, S., Rahman, A., Arif, M. T., Hasib, A., & Akib, A. S. M. A. (2026). An IoT-enabled smart aquarium system for real-time water quality monitoring and automated feeding. arXiv. https://arxiv.org/abs/2601.08484
Bayılmış, C., Ebleme, M. A., Çavuşoğlu, Ü., Küçük, K., & Sevin, A. (2022). A survey on communication protocols and performance evaluations for Internet of Things. Digital Communications and Networks, 8(6), 1094–1104. https://doi.org/10.1016/j.dcan.2022.03.013
Bayılmış, C., Ebleme, M. A., Çavuşoğlu, Ü., Küçük, K., & Sevin, A. (2022). A survey on communication protocols and performance evaluations for Internet of Things. Digital Communications and Networks, 8(6), 1094–1104. https://doi.org/10.1016/j.dcan.2022.03.013
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758–3773. https://doi.org/10.1109/JIOT.2018.2844296
Gomes, R., Silva, P., & Andrade, L. (2025). Beyond prototypes: What is missing to fill the gaps in IoT-enabled hydroponics platforms. Horticulturae, 11(11), 1322. https://doi.org/10.3390/horticulturae11111322
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
Hasib, A., & Akib, A. S. M. A. (2026). An IoT-based smart plant monitoring and irrigation system with real-time environmental sensing, automated alerts, and cloud analytics. arXiv. https://arxiv.org/abs/2601.15830
Hidayat, M. A. J., & Amrullah, A. Z. (2021). Sistem kontrol dan monitoring tanaman hidroponik berbasis Internet of Things (IoT) menggunakan NodeMCU ESP32. Jurnal Saintekom, 12(1). https://doi.org/10.33020/saintekom.v12i1.223
Jawad, H. M., Nordin, R., Gharghan, S. K., Jawad, A. M., & Ismail, M. (2017). Energy-efficient wireless sensor networks for precision agriculture: A review. Sensors, 17(8), 1781. https://doi.org/10.3390/s17081781
Kodali, R. K., Jain, V., Bose, S., & Boppana, L. (2016). IoT based smart greenhouse monitoring system using Raspberry Pi. In 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 1–6). https://doi.org/10.1109/R10-HTC.2016.7906846
Kumar, V., Sharma, K. V., Kedam, N., Patel, A., Kate, T. R., & Rathnayake, U. (2024). A comprehensive review on smart and sustainable agriculture using IoT technologies. Smart Agricultural Technology, 8, 100487. https://doi.org/10.1016/j.atech.2024.100487
Maulana, N., & Hadi, N. T. (2025). Design and simulation of an IoT-based adaptive control system for urban hydroponic farming. Informatik: Jurnal Ilmu Komputer, 21(3). https://doi.org/10.52958/iftk.v21i3.12815
Muhammad, W., Faridah, L., & Sutisna. (2024). Automated nutrient control and monitoring system for Internet of Things (IoT)-based hydroponic towers. Jurnal Informatika dan Teknik Elektro Terapan, 13(3S1). https://doi.org/10.23960/jitet.v13i3S1.8101
Nilam Andi Safitri, & Priambodo, A. S. (2023). MQTT and CoAP communication protocol analysis in Internet of Things system for strawberry hydroponic plants. Journal of Robotics, Automation, and Electronics Engineering, 1(1). https://doi.org/10.21831/jraee.v1i1.69
Pereira, G. P., Chaari, M. Z., & Daroge, F. (2023). IoT-enabled smart drip irrigation system using ESP32. IoT, 4(3), 221–243. https://doi.org/10.3390/iot4030012
Rachmini, S. A., Rasyid, M. R., Insani, C. N., & Rabbani, A. (2025). Rancang bangun dan evaluasi sistem smart-ponik untuk monitoring dan automatisasi tanaman hidroponik berbasis IoT dengan protokol MQTT. Journal of Applied Computer Science and Technology. https://doi.org/10.52158/tpd2rq94
Ray, P. P. (2017). Internet of Things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395–420. https://doi.org/10.3233/AIS-170440
Reyes, M., Santos, J., & Cruz, P. (2025). A low-cost and reliable IoT-based NFT hydroponics system using ESP32 and MING stack. Engineering Proceedings, 122(1), 3. https://doi.org/10.3390/engproc2025122003
Sinha, R. S., Wei, Y., & Hwang, S. H. (2017). A survey on LPWA technology: LoRa and NB-IoT. ICT Express, 3(1), 14–21. https://doi.org/10.1016/j.icte.2017.03.004
Srivastava, A., & Das, D. K. (2022). A comprehensive review on the application of Internet of Thing (IoT) in smart agriculture. Wireless Personal Communications, 122(2), 1807–1837. https://doi.org/10.1007/s11277-021-08970-7
Taueatsoala, K., Daniels, C., Ramsunar, A. J., Bronkhorst, P., & Ezugwu, A. E. (2026). TinyML-enabled IoT for sustainable precision irrigation. arXiv. https://arxiv.org/abs/2601.13054
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