Implementation of AES-256 Algorithm for Secure Data Transmission in LoRa-based Forest Fire Monitoring System

The relocation of Indonesia’s capital city from Jakarta to Kalimantan has raised severe challenges related to the risk of forest fires in the region. Therefore, this research proposes the development of a LoRa (Long Range) based forest fire monitoring system combined with AES-256 and SHA-256. This system aims to provide fast, accurate, and secure early warning against forest fires. In this system, a distributed network of sensors in the forest area is used to collect real-time forest fire data and send it to the central station through LoRa technology. In addition, the AES-256 is applied to maintain the security of sensitive information, such as the location of fires, so authorized parties can only access it. SHA-256 is used to maintain data integrity and availability of data. The use of LoRa, AES-256, and SHA-256 is expected to protect this system from eavesdropping attacks and ensure secure communication. With this system, it is expected that the risk of forest fires can be minimized, responses to fires can be carried out more quickly and effectively, and the necessary information can be provided to the authorities in forest fire management in the Kalimantan region. This research concludes that this forest fire monitoring system can detect potential forest fires with 100% accuracy from the coordinate point of the forest area to the monitoring room, and this system is safe against eavesdropping attacks.