Real Time Monitoring System of Pollution Waste on Musi River Using Support Vector Machine (SVM) Method

Muhammad Fachrurrozi (Informatics Engineering, Computer Science Faculty, University of Sriwijaya)
Saparudin Saparudin (Informatics Engineering, Computer Science Faculty, University of Sriwijaya)
Erwin Erwin (Informatics Engineering, Computer Science Faculty, University of Sriwijaya)

Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 3: EECSI 2016

Real-time Monitoring and early detection system which measures the quality standard of waste in Musi River, Palembang, Indonesia is a system for determining air and water pollution level. This system was designed in order to create an integrated monitoring system and provide real time information that can be read. It is designed to measure acidity and water turbidity polluted by industrial waste, as well as to show and provide conditional data integrated in one system. This system consists of inputting and processing the data, and giving output based on processed data. Turbidity, substances, and pH sensor is used as a detector that produce analog electrical direct current voltage (DC). Early detection system works by determining the value of the ammonia threshold, acidity, and turbidity level of water in Musi River. The results is then presented based on the level group pollution by the Support Vector Machine classification method.