Data Visualization on Shrimp Pond Monitoring System Based on Temperature, pH, and DO (Dissolved Oxygen) with IoT

摘要

Water quality is a major factor determining the survival of shrimp which will also affect shrimp production. To find out the contents contained in the water in shrimp ponds, many developments have been made to the device to monitor the state of water in shrimp ponds. Previously, a monitoring system had been developed in the form of an application to monitor ponds. The monitoring system that was developed was only able to detect a value at a point so that it could not see the overall state of the pond. The application made has been able to display monitoring ponds into six sections with each parameter. From the test results obtained by the accuracy of the calibration tool of 95.21676% for temperature sensors and 99.79013% for pH sensors. The use of long cables in testing get an accuracy of 99.38381% for temperature sensors and 99.90461% for pH sensors.