RANCANG BANGUN SISTEM MONITORING SUHU DAN KEKERUHAN AIR KOLAM IKAN BERBASIS INTERNET OF THING

YUDI TRIPRASETYO, ARIF (2018) RANCANG BANGUN SISTEM MONITORING SUHU DAN KEKERUHAN AIR KOLAM IKAN BERBASIS INTERNET OF THING. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

In goldfish cultivation, checking fish ponds must be carried out intensively so that the pond environment is maintained. The environment of a fish pond that is not good can cause goldfish to die easily and get disease. The environmental factors that must be controlled are water temperature and water turbidity. Currently controlling the breeder's pond environment still uses conventional methods, making it difficult for farmers because it takes a long time to inspect the entire pond. Seeing these problems, a system was built to help check the water temperature of the turbidity automatically. This application is designed using the MCU Node and uses the web at the thinger.io to directly monitor the environment of the fish pond. Based on the results of the tests that have been carried out it can be concluded that the application of fish pond checking helps farmers in monitoring and checking the water temperature of automatic water turbidity. The DS18B20 sensor has a maximum water temperature of 26.23° C with an average error of 0.050% and the Turbidity Sensor produces a maximum data output of 72.18 NTU.

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