Analisis Model 3D Menggunakan Frame-Based LiDAR dan RGB Camera pada Sensor Zenmuse L2 (Studi Kasus: Gedung Balai Pemuda, Kota Surabaya)

Putri, Tesha Aulia (2025) Analisis Model 3D Menggunakan Frame-Based LiDAR dan RGB Camera pada Sensor Zenmuse L2 (Studi Kasus: Gedung Balai Pemuda, Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Representasi dokumentasi cagar budaya secara 2D mulai beralih ke arah 3D, salah satu metode perekaman data dalam proses dokumentasi adalah UAV fotogrametri dan 3D laser scanner. Sensor Zenmuse L2 yang dilengkapi frame-based LiDAR dan RGB Camera mampu menghasilkan model 3D dari kedua metode tersebut. Analisis ketelitian telah dilakukan antara frame-based LiDAR dan RGB Camera pada situs cagar budaya di Kota Surabaya, yaitu Gedung Balai Pemuda. Pemodelan 3D LiDAR menggunakan metode strip adjustment. Model tersebut menghasilkan nilai RMSEr 0,048 m, RMSEz 0,038 m terhadap koordinat titik uji sebenarnya, dan ketelitian terhadap jarak dari 13 sampel sisi bangunan menghasilkan RMSE sebesar 0,035 m. Sedangkan, pemodelan 3D foto udara menggunakan metode Structure from Motion. Model tersebut menghasilkan nilai RMSEr 0,030 m, RMSEz 0,014 m, dan ketelitian terhadap jarak dari 13 sampel sisi bangunan menghasilkan RMSE sebesar 0,006 m. Kedua point cloud yang dihasilkan dari kedua data tersebut dilakukan perbandingan cloud to cloud distance dan surface density. Analisis cloud to cloud distance menunjukkan bahwa sebagian besar point cloud tidak memiliki perbedaan signifikan. Analisis surface density LiDAR dan foto udara menunjukkan bahwa sebagian besar point cloud memiliki densitas rendah dengan masing-masing densitas sebesar 9.396 pts/m2 dan 1.046 pts/m2. Berdasarkan analisis model 3D yang dihasilkan, model 3D RGB Camera memiliki visualisasi dan ketelitian yang lebih baik dibandingkan model 3D frame-based LiDAR.
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Representation of cultural heritage documentation in 2D is transitioning into 3D, using several methods of capturing cultural heritage documentation, including UAV photogrammetry and 3D laser scanner. Zenmuse L2, integrated with frame-based LiDAR and RGB Camera, are capable to collecting both of point cloud and photos to generate three-dimensional models. Implementation of 3D documentation methods using frame-based LiDAR and RGB Camera has been applied at the cultural heritage site in the Building of Balai Pemuda Surabaya.3D model based on point cloud data through the strip adjustment method. Those 3D model achieved a value of RMSEr 0.048 m, RMSEz 0.038 m relative to the actual validation point coordinates, and the analysis of distance error on 13 samples along building-side resulted an RMSE of 0.035 m. Furthermore, 3D model based on aerial photos aligned the photos through the Structure from Motion method. Those 3D model achieved a value of RMSEr 0.030 m, RMSEz 0.014 m relative to the actual validation point coordinates, and the analysis of distance error on 13 samples along building-side resulted an RMSE of 0.006 m. The generated point clouds from both data have been comparatively analyzed through cloud to cloud distance and surface density. Cloud to cloud distance analysis indicate the majority of point clouds exhibit no significant differences. Surface density analysis of LiDAR and aerial photos indicate the majority of point clouds are categorized by low density, specifically 9,396 pts/m2 and 1,046 pts/m2, respectively. According to the comparative analysis of both 3D models, 3D model reconstructed using RGB Camera achieved better visual quality and higher accuracy than 3D model reconstructed by frame-based LiDAR.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Frame-based LiDAR, RGB Camera, Pemodelan 3D Cagar Budaya, 3D Modeling Cultural of Heritage, Frame-based LiDAR, RGB Camera
Subjects:	T Technology > TH Building construction > TH438.13 Building information modeling.
Divisions:	Faculty of Civil, Environmental, and Geo Engineering > Geomatics Engineering > 29202-(S1) Undergraduate Theses
Depositing User:	Tesha Aulia Putri
Date Deposited:	24 Jul 2025 08:40
Last Modified:	24 Jul 2025 08:40
URI:	http://repository.its.ac.id/id/eprint/121398

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