Rancang Bangun Sistem Pengendali Konsentrasi Nutrisi Hidroponik Deep Flow Technique (DFT) Tanaman Sawi Berbasis Internet of Things (IoT)

Abstract

Hydroponic plant cultivation, particularly the DFT system, requires precise control of nutrient concentration, temperature, and pH levels in the solution to ensure optimal growth of Chinese cabbage plants. Currently, monitoring and controlling solution quality is still done manually, which is inefficient and prone to errors. This study aims to design an automated monitoring and control system based on the IoT for DFT hydroponic cultivation. The system utilizes ESP32 and ESP8266 microcontrollers, a water temperature sensor (DS18B20), an air temperature and humidity sensor (DHT22), a pH sensor, and a TDS sensor (P4502C). Monitoring data is displayed in real-time via Telegram. Thus, this system can improve efficiency, effectiveness, and accuracy in hydroponic cultivation.