Skripsi
RANCANG BANGUN DAN UJI KINERJA SISTEM KONTROL OTOMATIS TOTAL DISSOLVED SOLIDS (TDS) BERBASIS INTERNET OF THINGS (IoT) PADA HIDROPONIK DFT
Nutrient concentration stability is an important factor in hydroponic cultivation because it affects nutrient absorption and plant growth. Manual nutrient management often leads to inconsistencies in nutrient concentration due to delays in monitoring and measurement errors. This study aimed to design and evaluate the performance of an Internet of Things (IoT)-based automatic Total Dissolved Solids (TDS) control system for a Deep Flow Technique (DFT) hydroponic system. The research employed an experimental method with descriptive data analysis. The system was designed using a TDS sensor, Arduino Mega 2560, NodeMCU ESP8266, relay module, nutrient pumps, and the Blynk application for real-time monitoring. System performance was evaluated using Time in Range (TIR), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and sensor accuracy to determine the stability and conformity of sensor readings compared to manual measurements. The results showed that the system achieved a TIR value of 100%, an MAE value of 0,002 ppm, an MAPE value of 0,4%, and a sensor accuracy of 99,6%. Higher light intensity in system hydroponic 1 also resulted in better plant growth compared to system hydroponic 2. The system was able to maintain nutrient concentration stability and simplify the monitoring process in pak choi hydroponic systems.
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