Sistem Monitoring Kualitas Air, Suhu, dan Konsentrasi Nutrisi Pada Tanaman Sawi Menggunakan Metode Fuzzy Intuitionistic Berbasis IoT

The rapid development of technology today has a positive impact on agriculture because it can help farmers cultivate vegetable crops. This research develops an Internet of Things (IoT) based monitoring system to track water quality, temperature, and nutrient concentration in hydroponic mustard (Brassica rapa L) cultivation. The system uses Arduino Uno, NodeMCU ESP32, and several sensors (TDS, DS18B20, and Turbidity) to collect real-time data, which is then processed with intuitionistic fuzzy logic. This method improves decision making by managing uncertainty, providing a more flexible and accurate approach to maintaining optimal conditions for plant growth. The sensor test results showed high accuracy, validating the system's capability for practical application in hydroponic farming.