Sistem Monitoring Kualitas Air Artesis Berbasis IoT Menggunakan ESP32 dan Fuzzy Mamdani
DOI:
https://doi.org/10.47065/bulletincsr.v6i5.1260Keywords:
Water Quality Monitoring; Internet of Things; ESP32; Fuzzy Mamdani; ThingSpeakAbstract
Water quality is an important factor that influences public health, so regular monitoring is needed to ensure that the water remains suitable for use. However, the manual water quality monitoring process has limitations because it is unable to provide continuous and real-time information. This study aims to develop an Internet of Things (IoT)-based artesian water quality monitoring system using an ESP32 microcontroller and the Mamdani Fuzzy method to automatically monitor and classify water quality. The system uses a pH-4502C sensor, a turbidity sensor, and a DS18B20 temperature sensor as input parameters. To improve the stability of sensor readings in flowing water conditions, a moving average method and a thinwall flow chamber are applied. The measurement data are displayed on a 16×2 I2C LCD and sent to the ThingSpeak platform in real-time. The test was carried out for one hour with a data collection interval of 20 seconds, resulting in 179 observation data. The test results show an average pH value of 6.10, a turbidity sensor voltage of 2.61 V, and a temperature of 28.8°C. Validation of the pH sensor against the pH meter yielded an average difference of 0.0075 pH. Classification results using the Fuzzy Mamdani method yielded an average crisp value of 30.66, which is categorized as Poor. The contribution of this research lies in the integration of the flow chamber, moving average, and the Fuzzy Mamdani method to produce automatic and real-time water quality monitoring and classification.
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