Perpustakaan Digital ITB

Lightning, particularly Cloud-to-Ground (CG) strikes, poses a significant threat to infrastructure and electronic systems. Lightning Locating Systems (LLS) have been developed to monitor and determine lightning strike locations in real-time; however, the effectiveness of these systems is highly dependent on the optimal placement of sensors. Currently, sensor placement is generally conducted manually based on technician intuition, which is inefficient and prone to inaccuracies. This study aims to design an automated system capable of providing recommendations for optimal sensor placement within an LLS. The system is implemented as a webbased application that leverages historical lightning strike data, including coordinates and sensor coverage, to generate spatial analysis-based recommendations. Key features include interactive visualization of the sensor network, strike simulation, detection efficiency evaluation, and location accuracy assessment. Functional testing and User Acceptance Testing (UAT) with technical users were conducted to evaluate system performance. Results indicate that the system effectively provides visualization for sensor placement, identifies redundant sensors, and suggests new locations to improve coverage and network configuration.