SMART WATER QUALITY MONITORING SYSTEM
DOI:
https://doi.org/10.61722/jipm.v4i2.2264Keywords:
water quality, ESP32, IoT, real-time monitoring, sensorAbstract
Water quality is an important factor that affects human health, the environment, and various sectors of life. However, conventional water quality monitoring methods still have limitations, such as requiring a long time, high costs, and being unable to provide real-time data. This study aims to design a Smart Water Quality Monitoring System based on the ESP32 microcontroller capable of monitoring water quality automatically and continuously. The system uses several key parameters, namely pH, temperature, turbidity, and Total Dissolved Solids (TDS), which at the design stage are simulated using a potentiometer. Data from the sensors is processed by the ESP32 through an analogue-to-digital conversion process, then displayed in real-time on a 16×2 LCD and potentially sent to an Internet of Things (IoT) based platform. The design results indicate that the system is able to read and display data accurately according to input changes, and operates according to the designed algorithm. This system has advantages in terms of efficiency, ease of development, as well as multi-parameter monitoring capability. Thus, the designed system can serve as an alternative solution for more effective water quality monitoring and has the potential to be developed into an IoT-based remote monitoring system.
References
Effendi, H. (2003). Telaah kualitas air bagi pengelolaan sumber daya dan lingkungan perairan. Yogyakarta: Kanisius.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805.
Kumar, A., & Hancke, G. P. (2014). Energy efficient environment monitoring system based on wireless sensor networks. IEEE Sensors Journal, 14(2), 1–8.
Espressif Systems. (2020). ESP32 Technical Reference Manual. Shanghai: Espressif Systems.
American Public Health Association (APHA). (2017). Standard methods for the examination of water and wastewater (23rd ed.). Washington, DC: APHA.
Samosir, R. A. R., Hutasoit, F. A., Suryanto, E. D., & Saragi, D. P. (2026). Smart Water Quality Monitoring System. Jurnal Sains Student Research (JSSR), 4(1), 1–15.
Lestari, M., & Fikri, A. (2024). Rancang bangun sistem smart parking melalui pemantauan smartphone berbasis IoT menggunakan modul WiFi ESP32. Jurnal Otomasi, 4(2), 26–30.
Nafisy, Y., Zain, S. G., & Putra, K. P. (2025). Smart parking system based on Internet of Things technology for realtime parking slot monitoring. Journal of Embedded System Security and Intelligent Systems, 4(3), 404–414.
Rajasekaran, M., Prasanna, B. H., Kumar, S. M., Kumar, K. P., & Yugeshram, R. G. (2025). Smart parking management using IoT and ESP32: A real-time monitoring system. Proceedings of ICITSM-Part II 2025.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 JURNAL ILMIAH PENELITIAN MAHASISWA

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.










