Sistem Identifikasi Kualitas Air Nutrisi Hidroponik Pada Tanaman Cabai Rawit Menggunakan Metode Fuzzy Berbasis IoT

Ardiansyah, Mohammad Ainun (2022) Sistem Identifikasi Kualitas Air Nutrisi Hidroponik Pada Tanaman Cabai Rawit Menggunakan Metode Fuzzy Berbasis IoT. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

An IoT (Internet of Things) system for determining the nutritional water quality of hydroponic cayenne pepper plants based on fuzzy logic. Variable values obtained from the readings of three sensors, water temperature, TDS, and pH. Hydroponic cayenne pepper plants can grow optimally at water temperature from 18 until 28 °C, with pH level of 5 - 7. Nutrient levels in cayenne pepper will increase according to the age of the chili. The IoT system can provide corrections to any variables that was outside of the specified range by giving commands from Arduino to the actuator. The actuators that run the water pump turns on and off, the addition of nutrients and water levels, and the process of neutralizing the pH with KOH and HCl compounds. From the results of testing the IoT system successfully sends data to the website, then it is processed using fuzzy logic. In this study, it was found that the average accuracy of three sensors was 93.61%.

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