Application of IoT in Measuring Consumption Water Quality in Water Sources

Drinking water quality that is not accurately monitored can pose serious health risks, especially in rural areas such as Tanambanas Village which have geological conditions containing high levels of lime. Based on the results of observations, the people in this village still use traditional methods to assess the feasibility of water, without involving scientific measurements of important parameters, namely pH and Total Dissolved Solids (TDS). To answer this problem, this study aims to design and implement an Internet of Things (IoT)-based water quality monitoring system that is able to evaluate the feasibility level of drinking water automatically and in real-time. The developed system uses an ESP32 microcontroller integrated with a pH sensor and a TDS sensor as the main input. The data obtained from the sensors is processed using Mamdani's fuzzy logic to determine the level of water feasibility in three categories, namely Feasible, Less Feasible, and Unfeasible. The output of the system is displayed locally via a 20x4 LCD, LED indicator, and buzzer, as well as remotely via the smartphone-based Blynk app. The test results show that the system is able to provide water quality information quickly, accurately, and easily accessible to the public. This system also provides early warning if the water does not meet the set quality standards, so that it can be the basis for decision-making to carry out additional filtration. Thus, this system is expected to increase public awareness and accuracy in assessing the feasibility of daily drinking water.