IMPLEMENTASI IOT DAN FUZZY MAMDANI UNTUK PENGENDALIAN PH DAN NUTRISI DALAM PERTANIAN HIDROPONIK BERBASIS SISTEM OTOMATIS

Abstract

Soilless hydroponic farming requires stable pH and nutrient levels in the water to achieve optimal results. Manual monitoring tends to be slow, inaccurate, and relies on human labor. The purpose of this study is to develop an automated system integrated with Internet of Things (IoT) technology and Mamdani fuzzy logic to control hydroponic water quality, especially pH and TDS (Total Dissolved Solid). The system consists of a 4502C pH sensor, TDS sensor, Arduino Uno microcontroller, Wemos D1 Wi-Fi module, and Blynk application as a monitoring interface. Sensor data is processed through fuzzy stages: fuzzification, implication (MIN), rule composition (MAX), and defuzzification (centroid). Testing shows that the pH measurement deviation is only 0.01428, and the system is able to maintain stable water quality with a fast response. This system reduces dependence on manual monitoring and increases the efficiency of hydroponic cultivation.