Analisis Model 3 Dimensi Terhadap As-Built Drawing Bangunan Menggunakan Airborne Laser Scanning Dan Unmanned Aerial Vehicle

Arifin, Yenni Zanubach (2025) Analisis Model 3 Dimensi Terhadap As-Built Drawing Bangunan Menggunakan Airborne Laser Scanning Dan Unmanned Aerial Vehicle. Other thesis, Institut teknologi Sepuluh Nopember.

Text 5016211014-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (19MB)

Abstract

Dua metode akuisisi data yang umum digunakan dalam pemodelan tiga dimensi adalah Airborne Laser Scanning (ALS) dan Unmanned Aerial Vehicle (UAV) photogrammetry. Penelitian ini bertujuan untuk membandingkan akurasi geometrik dan kualitas visual model 3D bangunan hasil pemrosesan point cloud dari ALS dan UAV terhadap as-built drawing. Proses pengolahan data dilakukan menggunakan DJI Terra untuk ALS dan Agisoft Metashape untuk UAV. Model 3D pada penelitian ini dibangun di software Autodesk Revit berdasarkan data point cloud yang telah tergeoreferensi kemudian akan dianalisis berdasarkan bentuk visualnya dengan menggunakan pendekatan Level of Detail (LoD). Dari hasil model 3D yang telah dihasilkan baik dari point cloud LiDAR maupun UAV, keduanya telah memenuhi seluruh kriteria LoD 1 hingga LoD 3, baik dari segi geometri maupun akurasi posisi dan tinggi titik 3D. Meskipun keduanya menyertakan fitur interior, namun basis data yang digunakan berupa data sekunder yaitu data as-built drawing, sehingga tidak dapat memenuhi standar LoD 4 secara utuh. Selain melakukan analisis LoD, juga dilakukan analisis geometri model yang dilakukan dengan melakukan perhitungan Root Mean Square Error (RMSE) antara model dengan data as-built drawing dan analisis visual terhadap detail model yang dihasilkan. Hasil penelitian menunjukkan bahwa ALS memiliki akurasi geometrik lebih tinggi yang ditunjukkan dengan nilai RMSE model 3D dengan as-built drawing sebesar 0,047 m, sementara UAV menghasilkan nilai RMSE sebesar 0,055 m dimana UAV lebih unggul dalam detail visual, terutama untuk elemen-elemen seperti jendela dan pintu.
========================================================================================================================================
Two commonly used data acquisition methods in three-dimensional modeling are Airborne Laser Scanning (ALS) and Unmanned Aerial Vehicle (UAV) photogrammetry. This study aims to compare the geometric accuracy and visual quality of 3D building models processed from ALS and UAV point clouds with as-built drawing. Data processing was performed using DJI Terra for ALS and Agisoft Metashape for UAV. The 3D models in this study were constructed in Autodesk Revit software based on georeferenced point cloud data and will be analyzed based on their visual form using the Level of Detail (LoD) approach. The 3D models generated from both LiDAR and UAV point clouds met all LoD 1 to LoD 3 criteria in terms of geometry, positional accuracy, and 3D point height. Although both include interior features, the database used is secondary data, namely as-built drawings, so it cannot fully meet the LoD 4 standard. In addition to conducting LoD analysis, a geometric analysis of the model was also performed by calculating the Root Mean Square Error (RMSE) between the model and the as-built drawings and conducting a visual analysis of the model details produced. The research results show that ALS has higher geometric accuracy, as indicated by the RMSE value of the 3D model with as-built drawings of 0.047 m, while UAV produces an RMSE value of 0.055 m, where UAV is superior in visual detail, especially for elements such as windows and doors.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Airborne Laser Scanning, As-Built Drawing, Pemodelan 3D, UAV Photogrammetry, 3D Modelling, Airborne Laser Scanning, As-Built Drawing, UAV Photogrammetry
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:	Yenni Zanubach Arifin
Date Deposited:	24 Jul 2025 08:38
Last Modified:	24 Jul 2025 08:38
URI:	http://repository.its.ac.id/id/eprint/121394

Actions (login required)

View Item