SISTEM MONITORING KOLAM PENDEDERAN IKAN LELE SANGKURIANG BERBASIS LONG RANGE (LORA)

Feri, Deka Pratama (2024) SISTEM MONITORING KOLAM PENDEDERAN IKAN LELE SANGKURIANG BERBASIS LONG RANGE (LORA). Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

In Indonesia, catfish are enjoyed by many people for consumption and cultivation, one of which is the type of Sangkuriang catfish, due to the ability of more fecundity when compared to dumbo catfish, in the cultivation of Sangkuriang catfish there is a pendederan stage which aims to reduce cannibalism and mortality rates because fish fry are very vulnerable if the water quality parameters of the fish pond are not fully maintained which has an impact on fish disease. Fish survival will be good if the pH is 6.5-8, the temperature is 25-30 oC, and the maximum turbidity level is 50 NTU which must always be controlled, testing using the linear regression method, where the linear regression function is for the accuracy of reading the pH and Turbidity sensor values. Realtime monitoring using LoRa communication as a data sender of catfish pond parameters through the Antares Platform. From the test results of the DS18B20 sensor, the total average accuracy of the tool is 95.89%. The results of testing the 4502C pH sensor with the regression equation Y = -0.183344687+1.026312153X can increase accuracy. While the results of Turbidity sensor testing with the regression equation Y = 3,213059634 + 1,022891985X not all liquid samples have increased accuracy. From the test results LoRa end device can only send data at a distance of 1km because the antenna is not high enough. Keywords: Catfish, LoRa, temperature sensor, pH sensor, turbidity sensor, linear regression.

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