IMPLEMENTATION OF FUZZY LOGIC TO CONTROL TEMPERATURE AND TURBIDITY IN CATFISH BREEDING PONDS

Abstract

Water quality is very influential on the success of baby catfish farming. Temperature and turbidity are parameters of water quality, therefore farmers have been maintaining the quality of pond water by changing pond water regularly. Much weakness arise from how to maintain water quality so far, some of which are the lack of mobility of farmers and the parameters of pond water content cannot be known. To overcome these problems, a management system of pond water can be made. With this management system, farmers can control pond water drainage based on data that is read by the sensor, to maintain pond water quality according to predetermined parameter values. In this study the microcontroller uses fuzzy logic with input values of temperature sensors and turbidity sensors, the output of this system is a solenoid valve which functions as a regulator of pool water drainage, and the amount of water volume that must be replaced can be known by installing a water flow sensor. With the application of fuzzy logic, it can maintain water quality with a temperature value fluctuation range of 2.5 °C and a turbidity fluctuation range of 14 NTU. With the system that has been created, farmers can manage pond water easily and can find out the value of pond water quality parameters.