ANALISIS GEOMETRI STRUKTUR GEDUNG MENGGUNAKAN TEKNOLOGI TERRESTRIAL LASER SCANNER (STUDI KASUS: GEDUNG X)

• Main Author: Juliendra, Ghifari
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43626
• Institution: Institut Teknologi Bandung

Quality control in an infrastructure work consists of three main steps, namely quality planning, quality control, and quality improvement. This research is focused on quality control by checking the structural geometry of a building. Accompanied by technological advancements, the Terrestrial Laser Scanner (TLS) technology was chosen as a data acquisition tool for the needs of the geometry analysis of Building X structures. This study aims to determine whether TLS can be used to carry out structural analysis, how to use it, and how the method the most optimal data processing. One way to analyze the geometry of building structures is to identify the slope of the building structure. By utilizing TLS point cloud data, structural geometry analysis is performed by two methods, specifically looking at the horizontal distance deviation and the tilt angle. The stages of the analysis are divided into two steps, identification and clarification of the slope. After processing the data, TLS can be said to be capable of conducting structural geometry analysis with a more comprehensive analysis when compared to other topographic surveying tools because the data obtained is in the form of 3D. The use of different acquisition methods to do geometry analysis can be done. The most important thing is to pay attention to leveling on Nivo TLS and analyze the data requirements so that the placement of the standpoint of the tool can cover the overall data requirements. Then, the most optimal data processing method for structural geometry analysis needs is the slope angle method. That is because the method carries out analysis in the form of fields so that it can represent the actual conditions of the sample and the slope value does not depend on the height of the sample such as the horizontal distance method.