Water Pollution Monitoring Systems Several Point Locations Using the Internet of Things

Water is used to support activities and consumption, so water quality needs to be maintained. One way to determine whether the water quality is good or not is to conduct monitoring based on physical, chemical, and biological parameters. In this study, a water monitoring system is created at several location points using the internet of things. This system uses the concept of Wi-Fi, namely two sensor nodes to get to know water quality and an access point (AP) as a gateway. The sensors used are pH sensors, Total Dissolved Solids (TDS) sensors, and turbidity sensors produced by DFRobot. Results Based on the research, the first & second pH sensors have an accuracy rate of 97.76% and 99.41%. Meanwhile, the first & second TDS sensors have an accuracy rate of 88.27% and 88.20%. The first & second turbidity sensors have an accuracy rate of 96.95% and 90.952%. The test results of data transmission as far as ± 30 meters using a star topology have an average of delay 0.347 seconds from the sensor node to Antares and a packet loss of 23.33%.