Pemodelan 3D Bangunan Menggunakan Data Terrestrial Laser Scanner dan Airborne Laser Scanner

Cahyo, Dimas Dwi (2025) Pemodelan 3D Bangunan Menggunakan Data Terrestrial Laser Scanner dan Airborne Laser Scanner. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pembuatan model 3D bangunan dilakukan menggunakan teknologi Light Detecting and Ranging (LiDAR) yaitu Airborne Laser Scanning (ALS) dan Terrestrial Laser Scanning (TLS). Hasil pengukuran ALS menghasilkan atap bangunan, sedangkan hasil pengukuran TLS menghasilkan fasad bangunan. Pada data ALS diperoleh hasil average altitude difference sebesar -0.015 meter dan RMSE sebesar 0.034 meter. Pada data point cloud hasil Terrestrial Laser Scanner diperoleh nilai mean bundle error sebesar 0.005 meter dan RMSE GCP pada sumbu x sebesar 0,006 meter, sumbu y sebesar 0.003 meter, dan sumbu z sebesar 0,012 meter.Proses pembuatan model 3D bangunan memanfaatkan point cloud kombinasi data ALS dan TLS. Proses TLS dimulai dengan registrasi, filterisasi lalu menghasilkan point cloud fasad bangunan, sedangkan proses ALS dimulai dengan filterisasi lalu menghasilkan point cloud atap. Kedua point cloud tersebut kemudian dilakukan penggabungan. Proses penggabungan data TLS dan ALS menggunakan metode point-pair registration yang menghasilkan nilai Root Mean Square Error (RMSE) sebesar 0.036 m. Hasil dari gabungan point cloud dilakukan pemodelan 3D bangunan menggunakan Autodesk Revit. Hasil visualisasi yang dihasilkan memperlihatkan keselarasan geometri pada bangunan, dengan elemen arsitektural seperti fasad, jendela, dan atap yang terlihat secara jelas. Pada ketelitian geometri 3D model yang dihasilkan melalui perbandingan panjang segmen pada Model 3D dengan hasil pengukuran di lapangan menunjukkan nilai RMSE sebesar 0,024 meter. Model 3D yang dihasilkan ini telah memenuhi standar Level of Detail (LOD) hingga tingkat LOD 3.
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The 3D model of the building was created using Light Detecting and Ranging (LiDAR) technology, namely Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS). The ALS measurement results produced the roof of the building, while the TLS measurement results produced the facade of the building. The ALS data obtained an average altitude difference of - 0.015 meters and an RMSE of 0.034 meters. In the Terrestrial Laser Scanner point cloud data, the mean bundle error value was 0.005 meters and the GCP RMSE on the x-axis was 0.006 meters, the y-axis was 0.003 meters, and the z-axis was 0.012 meters. The process of creating the 3D model of the building utilized a point cloud combination of ALS and TLS data. The TLS process began with registration, filtering, and then produced a point cloud of the building facade, while the ALS process began with filtering and then produced a point cloud of the roof. The two point clouds were then merged. The process of combining TLS and ALS data uses the point-pair registration method which produces a Root Mean Square Error (RMSE) value of 0.036 m. The results of the combined point cloud are used for 3D modeling of the building using Autodesk Revit. The resulting visualization results show the geometric harmony of the building, with architectural elements such as facades, windows, and roofs clearly visible. The accuracy of the 3D geometry of the model produced through a comparison of the segment lengths in the 3D Model with the results of field measurements shows an RMSE value of 0.024 meters. This resulting 3D model has met the Level of Detail (LOD) standard up to LOD 3.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Airborne Laser Scanner, Terrestrial Laser Scanner, Point Cloud, LIIDAR, Model 3D Bangunan,3D Modeling of Buildings
Subjects:	T Technology > TH Building construction > TH438.13 Building information modeling.
Divisions:	Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Dimas Dwi Cahyo
Date Deposited:	24 Jul 2025 08:53
Last Modified:	24 Jul 2025 08:53
URI:	http://repository.its.ac.id/id/eprint/121334

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