Water Turbidity Alert System for IoT-Based Water Tank

Hasanah Putri, Atik Novianti, Dadan Nur Ramadan


Water has enormous benefits in daily life; quality and quantity maintained are required to be always ensured. In Indonesia, Bandung, many people keep clean water supplies in water tanks. The habit appeared as the result of their dependency on groundwater. However, some people also have already been connected to the government's water pipeline network, but they still need to have clean water tanks for prevention. The tanks need regular maintenances to ensure the stored water remains clean. When the tanks are rarely cleaned, moss appears, clogging the water pipe. The manual process of monitoring water conditions has several weaknesses, such as needing expert staff, taking more extended time, having a greater possibility of errors, and not presenting and neatly storing documentation. This paper aims to implement a water turbidity warning system in tanks and an IoT-based scheduling system for cleaning water tanks. The system will be implemented at several points of the house or water tank and can transmit data in real-time either alternately or simultaneously. The sensor detects water turbidity, and the microprocessor control unit node is in charge of processing the sensor reading data to calibrate and classify the turbidity level. Water turbidity values and levels are sent to Firebase, which resides in the cloud. The information from Firebase is passed and displayed on the application. The turbidity level of water was categorized into three: clean, turbid, and dirty. Managers, as the service providers, and consumers can monitor the tank's condition with a warning in the form of an indicator when the tank must be cleaned.


Keywords: water, turbidity, alert, Internet of Things, application.




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