Rapid 3D Building Mapping Using An iPhone LIDAR Sensor to Support Sustainable Insfrastructure Digitalization in Line with SDGs 9 And 11: A Case Study Of SMP Negeri 2 Bangsal, Indonesia

Abstract

Technological advancements have driven a shift from manual to automated mapping methods, one of which is through the use of LiDAR (Light Detection and Ranging) technology. This technology enables fast and accurate three-dimensional (3D) mapping, especially in hard-to-reach areas. In the field of education, accurate spatial data is essential to support the Adiwiyata program, which emphasizes environmentally friendly and sustainable school spatial planning. This study aims to produce a 2D map of the SMP Negeri 2 Bangsal building as part of support for the program. The method used is rapid 3D mapping with a LiDAR sensor on the iPhone 15 Pro Max using a Research and Development (R&D) approach, involving data collection, planning, and development stages. Scanning was conducted dynamically across six zones based on room function. The point cloud data was cleaned using CloudCompare software, then reconstructed into a 3D model and converted into a 2D format using AutoCAD. The results show that mobile LiDAR technology offers a fast, efficient, and reasonably accurate solution for school infrastructure mapping. The resulting map supports green space management and the layout of educational facilities in a more effective and sustainable manner.