SISTEM MONITORING REAL-TIME PADA DIAGNOSA PENYAKIT KAKAO BERBASIS IOT

Abstract

Cocoa is one of Indonesia's leading commodities with high economic value but is vulnerable to environmental changes and disease infections. This study designs a real-time monitoring and disease diagnosis system for cocoa plants based on the Internet of Things (IoT) and expert systems. The system utilizes an ESP32 microcontroller connected with DHT11, soil moisture sensors (surface and root), and HC-SR04 ultrasonic sensors. Sensor data are transmitted via HTTP POST to a server, displayed on an I2C LCD, and combined with user-selected symptoms through a web interface (HTML/PHP). An expert system processes the data to identify diseases such as Anthracnose, Vascular Streak Dieback (VSD), and Leaf Beetle infestations with up to 95% confidence. Automatic actuators (pump, buzzer, LED) respond to soil moisture conditions. Testing on 20 samples shows stable operation and effective integration between hardware and software, enabling precision farming support.