UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT)
One of the taxes collected by local governments is the Rural and Urban Land and Building Tax (PBB P2). The basis for imposing PBB P2 is the Sales Value of Tax Objects (NJOP) which is determined through an assessment process. Property appraisals can be done on a mass or individual basis. The methods...
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id-itb.:783812023-09-19T14:23:21ZUTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) Taru Syahuwa, Dito Indonesia Final Project LiDAR, point cloud, 3D Model, Building Appraisal INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/78381 One of the taxes collected by local governments is the Rural and Urban Land and Building Tax (PBB P2). The basis for imposing PBB P2 is the Sales Value of Tax Objects (NJOP) which is determined through an assessment process. Property appraisals can be done on a mass or individual basis. The methods used in the assessment include the market data approach method, cost approach method, or income approach method. Assessors can carry out field assessments using LiDAR technology which transmits lasers to obtain a defined point in a three-dimensional (3D) Cartesian reference system called a point cloud. This collection of point clouds can be used to produce 3D models, namely depicting real world objects to another reference system so that they can be represented. This research uses point cloud data from LiDAR results to obtain building values using a market approach method which is calculated using a 3D model as a representation of buildings in the real world. The resulting 3D model can provide information in the form of shape, size and surface material components of a building. With the cost approach method, the 3D model of the building will be used as a reference in calculating the cost of a new replacement (RCN). Next, the RCN of the building will be reduced by the depreciation value to get the building value. The level of detail of the 3D model has an influence on the building value because it plays an important role in determining the RCN. The variables used in this research are the area and volume of the floor components, the area of the wall components, the area and materials of the roof. However, building assessment also comes from building attributes and the association of 3D elements from outside and inside the building. text |
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One of the taxes collected by local governments is the Rural and Urban Land and Building Tax (PBB P2). The basis for imposing PBB P2 is the Sales Value of Tax Objects (NJOP) which is determined through an assessment process. Property appraisals can be done on a mass or individual basis. The methods used in the assessment include the market data approach method, cost approach method, or income approach method. Assessors can carry out field assessments using LiDAR technology which transmits lasers to obtain a defined point in a three-dimensional (3D) Cartesian reference system called a point cloud. This collection of point clouds can be used to produce 3D models, namely depicting real world objects to another reference system so that they can be represented. This research uses point cloud data from LiDAR results to obtain building values using a market approach method which is calculated using a 3D model as a representation of buildings in the real world. The resulting 3D model can provide information in the form of shape, size and surface material components of a building. With the cost approach method, the 3D model of the building will be used as a reference in calculating the cost of a new replacement (RCN). Next, the RCN of the building will be reduced by the depreciation value to get the building value. The level of detail of the 3D model has an influence on the building value because it plays an important role in determining the RCN. The variables used in this research are the area and volume of the floor components, the area of the wall components, the area and materials of the roof. However, building assessment also comes from building attributes and the association of 3D elements from outside and inside the building.
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Final Project |
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Taru Syahuwa, Dito |
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Taru Syahuwa, Dito UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
author_facet |
Taru Syahuwa, Dito |
author_sort |
Taru Syahuwa, Dito |
title |
UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
title_short |
UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
title_full |
UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
title_fullStr |
UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
title_full_unstemmed |
UTILIZATION OF LIDAR DATA FOR DETERMINING BUILDING VALUES ??(CASE STUDY OF NUSA HIJAU RESIDENTIAL BUILDINGS, NORTH CIMAHI DISTRICT) |
title_sort |
utilization of lidar data for determining building values ??(case study of nusa hijau residential buildings, north cimahi district) |
url |
https://digilib.itb.ac.id/gdl/view/78381 |
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1822008561741332480 |