Development of a Smart Farming Monitoring System Using IoT and Android Technology to Support Precision Farming in the Western Part of Aceh

This paper presents the development and testing of a smart farming monitoring system utilizing Internet of Things (IoT) and Android technologies to support precision farming practices in Aceh. The system integrates multiple sensors, including DHT11 for temperature and humidity measurement, and soil moisture sensors, all controlled by ESP32 microcontrollers. These components wirelessly transmit real-time data to an Android application, allowing farmers to monitor environmental conditions on their farms remotely. The system was tested at the Universitas Teuku Umar (UTU) farm, where sensor accuracy was validated by comparing the results with external instruments. Linear regression analysis was applied to assess the correlation between sensor data and the external measurements, yielding strong correlations and confirming system reliability. The results demonstrate that the IoT-based monitoring system provides precise and real-time environmental data, offering a valuable tool for decision-making in precision farming. Future directions for the system include expanding its functionalities by integrating additional sensors, improving the Android interface, and exploring predictive analytics through machine learning.