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

IAES International Conference on Electrical Engineering, Computer Science and Informatics

电工学;计算机科学

Fachrurrozi, Muhammad^1 ; Saparudin^1 ; Erwin^1

Informatics Engineering, Computer Science Faculty, University of Sriwijaya, Indonesia^1

关键词: Early detection system;    Electrical direct currents;    Integrated monitoring systems;    Real time monitoring;    Real time monitoring system;    Real-time information;    Support vector machine classification;    Water pollution levels;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/190/1/012014/pdf
DOI  :  10.1088/1757-899X/190/1/012014

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.