Analisis Model 3D Eksterior Gedung dengan Integrasi Data LiDAR dan UAV-Fotogrametri (Studi Kasus: Gedung Bersama Fakultas Teknologi Elektro dan Informatika Cerdas, ITS)

Shefira, Diandra (2026) Analisis Model 3D Eksterior Gedung dengan Integrasi Data LiDAR dan UAV-Fotogrametri (Studi Kasus: Gedung Bersama Fakultas Teknologi Elektro dan Informatika Cerdas, ITS). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemodelan bangunan tiga dimensi (3D) menjadi komponen penting dalam mendukung pengembangan kota cerdas, perencanaan wilayah, serta konsep digital twin yang memerlukan representasi spasial yang akurat dan mutakhir. Penelitian ini bertujuan untuk menghasilkan model bangunan 3D Gedung Tower 2 ITS melalui integrasi data frame-based LiDAR dan RGB Camera pada sensor Zenmuse L2. Akuisisi data dilakukan menggunakan UAV DJI Matrice 350 RTK melalui kombinasi penerbangan nadir, oblique, dan manual untuk memperoleh data geometrik dan visual secara optimal. Pengolahan data LiDAR dilakukan menggunakan metode strip adjustment untuk meningkatkan konsistensi geometrik, sedangkan data foto udara diolah dengan metode Structure from Motion (SfM) untuk menghasilkan point cloud. Integrasi kedua dataset dilakukan menggunakan algoritma Iterative Closest Point (ICP) untuk menyelaraskan point cloud dalam satu sistem koordinat. Hasil integrasi menunjukkan nilai RMSE registrasi sebesar 0,023 m yang berada di bawah standar akurasi ASPRS dan evaluasi geometrik menunjukkan nilai RMSEx sebesar 0,052 m, RMSEy sebesar 0,057 m, dan RMSEz sebesar 0,103 m, sedangkan analisis dimensi terhadap data as-built drawing menghasilkan RMSE sebesar 0,023 m. Berdasarkan evaluasi OGC CityGML, model termasuk dalam kategori LoD3 karena mampu merepresentasikan elemen eksterior bangunan secara rinci, seperti fasad, bukaan, kanopi, atap, dan kisi-kisi (louver).
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Three-dimensional (3D) building modeling plays an important role in supporting smart city development, urban planning, and digital twin applications that require accurate and up-to-date spatial representations. This study aims to generate a 3D model of the Tower 2 Building at ITS through the integration of frame-based LiDAR and RGB camera data acquired using the Zenmuse L2 sensor. Data acquisition was conducted using a DJI Matrice 350 RTK UAV through a combination of nadir, oblique, and manual flight missions to obtain optimal geometric and visual information. LiDAR data were processed using the strip adjustment method to improve geometric consistency, while aerial imagery was processed using the Structure from Motion (SfM) approach to generate a point cloud. The two datasets were integrated using the Iterative Closest Point (ICP) algorithm to align the point clouds within a common coordinate system. The integration results achieved a registration RMSE of 0.023 m, which is below the ASPRS accuracy standard. Geometric evaluation yielded RMSEx, RMSEy, and RMSEz values of 0.052 m, 0.057 m, and 0.103 m, respectively, while dimensional analysis against the as-built drawings resulted in an RMSE of 0.023 m. Based on the OGC CityGML evaluation, the resulting model was classified as LoD3, as it is capable of representing building exterior elements in detail, including façades, openings, canopies, roofs, and louver components.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Airborne Laser Scanner, Model Bangunan 3D, UAV-Fotogrametri, 3D Building Model, Airborne Laser Scanner, UAV-Photogrammetry.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques. Image analysis--Data processing.
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Diandra Shefira
Date Deposited:	22 Jun 2026 00:51
Last Modified:	22 Jun 2026 00:51
URI:	http://repository.its.ac.id/id/eprint/133948

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