Monitoring Water Quality for Catfish Ponds Using Fuzzy Mamdani Method with Internet of Things

Catfish is a type of freshwater fish that is widely consumed in the community, the level of demand for catfish from every year always increases, the increasing number of requests must be balanced with the productivity of the catfish harvest. In catfish farming, water quality is an important factor in cultivation, good water conditions in catfish farming have a pH ranging from 6 to 9, pond water temperature ranges from 25°C to 30°C, and water clarity is less than 180 NTU. Water conditions that are not in accordance with the habitat of fish can cause fish to easily get sick and can lead to the death of catfish. The design of the tool in the control and monitoring of pool water uses a Wemos D1 R32 microcontroller by using a pH input using a SEN0161 sensor, temperature using a DS18B20 sensor and turbidity using an LDR (Light Dependent Resistor) and having a water pump and heating output (water heater), processing input data using the Fuzzy Mamdani method, while the sensor value reading will be displayed on the Thingspeak web page. The results show that the sensor can work with a sensor error percentage pH = 3.38%, temperature = 2.37% and good turbidity below 88. The results from the Fuzzy Mamdani output have error percentages = 0.43 and 0.44%, while the monitoring process uses the Thingspeak platform. can run well. The purpose of this research is that fish farmers can save time in controlling water and monitoring pond water. In this research, the purpose of this research can be achieved, farmers can save time in controlling and monitoring pond water conditions.