Monitoring Detergent Waste Using pH, Temperature, and Turbidity Sensor Based on the Internet of Things

The rapid increase in detergent waste due to urbanization poses significant environmental risks, particularly to water bodies. This study developed an IoT-based system to monitor detergent waste parameters—pH, temperature, and turbidity—using sensors integrated with an Arduino Mega 2560 microcontroller. The system ensures real-time data logging and visualization via a Blynk application, with thresholds set at pH 6–9, temperature <38°C, and turbidity <75 NTU, as per Indonesian environmental standards. Experimental results revealed that detergent waste samples exhibited pH levels of 4–5, temperatures of 27–28°C, and turbidity levels of 90–150 NTU, exceeding permissible limits. The system demonstrated high accuracy, with sensor errors below 1% for pH and temperature measurements. These findings underscore the need for advanced wastewater treatment processes and stricter regulatory enforcement. The IoT-based monitoring system proved effective for real-time environmental assessment, offering a scalable solution for urban wastewater management.