Main Article Content
Abstract
This study examines the utilization of drone technology in collecting image data and reconstructing it into three-dimensional (3D) assets to support the development of a digital twin in Sewon District, Yogyakarta. A digital twin, as a digital representation of a physical object or system, offers the potential for real-time monitoring, analysis, and simulation, which ultimately enhances operational efficiency and urban planning towards the smart city concept. The research methodology involves collecting image data using drones, reconstructing the data into 3D models, and developing a database of digital assets. The research results indicate that data obtained from drone videos can be extracted and processed using AI technology to generate digital 3D assets. This method is expected to significantly contribute to the development of smart city technology in Indonesia, particularly in Sewon District, by facilitating more efficient infrastructure management, better spatial planning, and more effective disaster mitigation.