Optimization Coagulation Process of Water Treatment Plant Using Neural Network and Internet of Things (IoT) Communication

Abstract

Internet of Things (IoT) is a concept that aims to expand the benefits of continuously connected internet connectivity, while Artificial Intelligence is intelligence that is created and inserted into a machine to do work like humans do. In this study, a prototype system was built that can control the requirement of chemicals for the coagulation process based on measuring the quality of raw water in the PDAM intake channel using several sensor parameters including Turbidity, pH, and Dissolved Oxygen (DO), by utilizing Internet of Things (IoT) communication. System processing is carried out by a microcontroller. The Artificial Neural Network (ANN) method is used to determine the amount of chemicals or coagulants required for the coagulation process based on raw water quality data, this system can also display raw water quality monitoring data from all sensor parameters used and the status of the dosing pump by IoT communications. By using this system, the amount of doses of chemicals or coagulants used in coagulation through the intake will be more optimal when compared to the current system.