<![CDATA[Water stored in the reservoir has the potential to undergo changes in physical conditions that are not always easily recognized through routine visual inspection. This study presents the design of an Internet of Things (IoT)-based water quality monitoring system to provide preliminary information on changes in turbidity and water temperature. The system uses the ESP32 microcontroller as the processing and communication center, with turbidity sensors and temperature sensors as the main devices. The measurement information is transmitted in real-time via Telegram Bot. The test is carried out using water samples with clear, cloudy, normal, and warm conditions through equipment preparation procedures, sensor activation, measurement, recording of results, and repetition for data consistency. The test results showed that the turbidity sensor was able to distinguish water conditions with readings of 0 NTU in clear water and 73 NTU in turbid water, while the temperature sensor produced readings of 28.9 °C to 33.7 °C. All data was successfully transmitted via Telegram as a remote notification. These findings confirm that the system is capable of functioning as a monitoring tool and early warning of changes in water conditions, although it does not directly determine the feasibility of consumption. Further development is needed to improve the accuracy of the sensor, provide measurement history, filter maintenance reminders, and backup power supply.]]>
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