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Implementasi IoT Cerdas Berbasis Inference Fuzzy Tsukamoto Pada Pemantauan Kadar pH Dan Ketinggian Air Dalam Akuaponik
Abstract Increasing population and rapid development have resulted in reduced sources of clean water, especially in urban areas. Fish and plant cultivation requires good water quality so as not to be exposed to parasites and diseases that cause death. Aquaponic uses water continuously from the maintenance of fish which is then distributed to plants, and then returned to the fish pond. This aquaponics system will be implemented with IoT using microcontrollers, ultrasonic sensors, and pH sensors so that aquaponic owners do not need to manually check. This system is used to adjust the height and pH of water in aquaponics to remain stable by implementing the concept of IoT and Inference Fuzzy Tsukamoto. One method that can be used to control pH levels based on water height by adding or reducing water is to create a system that can inform good results using the fuzzy logic method and displayed through the website. The implementation of this system is focused on kangkung and mustard greens, and evaluations carried out are only pattern recognition rather than optimization. The aquaponics system that is made can run well and shows information based on the results of fuzzy calculations from the system with manual calculations. Based on the tests carried out, it was found that the pH meter sensor can measure water pH levels in aquaponics with an error tolerance of 6.3% from manual pH measuring devices, ultrasonic sensors can measure water levels in aquaponics with an error tolerance of 7.8% of measurements using a manual measuring meter, and an aquaponics system can display the conclusions of the calculation of fuzzy results according to the data on pH levels and water levels obtained from the sensor.
201804 | 003.54Adl.i | Perpustakaan Fakultas Teknik | Tersedia |
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