Parcels data in Indonesia are still stored in 2-dimensional (2D) geometry which are integrated with other attribute data, such as the case with the Directorate of Land and Building Tax Indonesia. Whereas, building taxes assessment refers to a number of details that require the information to be stored in 3-dimensional (3D) forms. This study aims at the use of Building Information Modeling (BIM) technology, which widely used in building asset management in 3D. This research illustrates the usability of the role of BIM in assessing and managing building taxes in Indonesia. The point clouds were obtained using Terrestrial Laser Scanner (TLS) technology. The point clouds processed so that it can form 3-dimensional geometrical apartment. The attributes of the 3-dimensional model integrated with the geometric model using the BIM concept. The results analyzed to assess whether BIM concept was able to fulfill the needs of the 3D fiscal cadastre in Indonesia.

3D modeling of functional buildings is growing rapidly because of its excellence. 3D modeling can also be applied to heritage buildings, but it is still rarely done due to the variety of detail, and the unique shape of the objects in heritage buildings make it more difficult to be modeled. In consequence, an adequate instrument with different scanning densities is required in this case, namely Terrestrial Laser Scanner (TLS) and Handheld Laser Scanner (HLS). This study, conducted at Penataran Temple in Penglipuran Village, Bali, aims to analyze the registration result of point clouds acquired by TLS and HLS, as well as its capability to build the 3D model. Point cloud data is acquired using TLS and HLS tools, and the information about the object is obtained by doing interviews with the Chief of Penglipuran Village and the villagers. The point cloud that TLS acquires is registered with Iterative Closed Point (ICP) algorithm, while the point cloud of HLS is registered by using Helmert and Affine transformation method. Based on the results, the registration of HLS point cloud data to the TLS Affine method has better quality accuracy than the Helmert method. In addition, point cloud data scanned by HLS can present 3D models with a better Level of Detail (LOD) than point cloud data from TLS.

Currently, the need for a 3D model that represents the existing condition of a building is needed, especially for building management. While performed the 3D mapping of building utilities such as pipelines in buildings, the Terrestrial Laser Scanner (TLS) technology couldn’t cover the object in the ceiling, so Handheld Scanner (HS) was used to complete the scanned objects. The purpose of this article is conducting the process of mapping between HS and TLS for building pipelines. The integration between two different sensor resolutions and sensor scan coverage requires a separate strategy to generate 3D models for pipeline objects in building. The use of specific target and 3D transformation method could do the registration between two set of point clouds which was obtained by two different technologies. The target object, such as spherical object which is usually used as a tie point between scan results in the registration process, cannot be recorded by HS. The specific targets were pasted on the pipelines in order to be captured by the HS. The specific targets become tie point in the registration process. Meanwhile, the registration process using the Iterative Closest Point (ICP) algorithm cannot be carried out because the two scan results do not meet the overlap percentage standard, so that the 3D transformation would be used in registration process. The result is that the registration accuracy is 0.062 m.

Building Information Modelling (BIM) is a technology involving the generation and management of digital information of physical and functional characteristics of places (in 2D or 3D), which is developed to obtain built assets, planning, construction maintenance and operation, and construction management system. This case study is BIM development for the Manganti dam, located in Central Java, Indonesia. The dam itself is a vital irrigation system and is located in an earthquake-prone area, which makes significant risk factors for the surrounding environment. Therefore, continuous monitoring for the dam should be taken seriously into action by acquiring accurate information. Supporting that purpose, the spatial information of the dam, in 3D form, should be accurately presented in the mapping process. Although the Terrestrial Laser Scanner (TLS) is well known for providing accurate geometry information, its information detail is still limited to an accessible area. Consequently, it creates gaps in shadow areas which possibly can be compensated by the data from Handheld Laser Scanner (HLS). In this contribution, we are focusing on analyzing the reliability of TLS and HLS combination for high-resolution mapping and, possibly, high accuracy mapping. The geometric accuracy of the 3D model is comparing the dimension of the model to the dimension measurement by the Electronic Total Station (ETS) measurement.

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