Pemanfaatan Metode Gaussian Splatting dan Data Fotogrametri untuk Pemodelan 3D Situs Cagar Budaya (Studi Kasus: Candi Bajang Ratu)

Sukendro, Samuel Agustinus (2026) Pemanfaatan Metode Gaussian Splatting dan Data Fotogrametri untuk Pemodelan 3D Situs Cagar Budaya (Studi Kasus: Candi Bajang Ratu). Other thesis, Intitut Teknologi Sepuluh Nopember.

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Abstract

Pemodelan tiga dimensi objek cagar budaya merupakan bagian penting dalam dokumentasi dan pelestarian digital. Metode fotogrametri berbasis Structure from Motion (SfM) dikenal memiliki akurasi geometrik yang tinggi, sedangkan metode 3D Gaussian Splatting (3DGS) menawarkan kualitas visualisasi yang lebih realistis dan mendukung real-time rendering. Penelitian ini bertujuan untuk mengkaji pemanfaatan data fotogrametri dalam metode 3DGS serta membandingkan akurasi geometrik dan kualitas visualisasi kedua metode pada objek Candi Bajang Ratu. Data yang digunakan berupa citra UAV dan citra terestrial. Proses diawali dengan rekonstruksi model menggunakan SfM, kemudian dilanjutkan dengan pemodelan menggunakan 3DGS. Evaluasi dilakukan menggunakan Root Mean Square Error (RMSE) dan analisis Cloud-to-Cloud (C2C) distance. Hasil rekonstruksi SfM menghasilkan nilai RMSE sebesar 1,034 cm pada Ground Control Point (GCP) dan 0,410 cm pada Check Point (CP), yang menunjukkan tingkat akurasi geometrik yang tinggi. Sementara itu, model 3DGS menghasilkan nilai RMSE pengukuran panjang bebas sebesar 14,67 cm terhadap pengukuran lapangan. Analisis C2C antara model SfM dan 3DGS menunjukkan rata-rata deviasi sebesar 2,997 cm dengan standar deviasi sebesar 12,173 cm, yang mengindikasikan kesesuaian geometrik yang cukup baik secara global. Secara visual, model 3DGS menghasilkan tampilan yang lebih realistis dan mendukung proses real-time rendering. Dengan demikian, metode SfM unggul dalam aspek akurasi geometrik, sedangkan 3DGS unggul dalam kualitas visualisasi sehingga kedua metode dapat saling melengkapi dalam dokumentasi digital objek cagar budaya
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Three-dimensional modeling of cultural heritage objects plays an important role in digital documentation and preservation. Structure from Motion (SfM)-based photogrammetry is known for its high geometric accuracy, while the 3D Gaussian Splatting (3DGS) method provides more realistic visualization and supports real-time rendering. This study aims to investigate the utilization of photogrammetric data in the 3DGS method and to compare the geometric accuracy and visualization quality of both approaches using the Bajang Ratu Temple as the study object. The data consisted of UAV and terrestrial images. The workflow began with 3D reconstruction using the SfM method, followed by 3DGS modeling. The evaluation was carried out using the Root Mean Square Error (RMSE) and Cloud-to-Cloud (C2C) distance analysis. The SfM reconstruction yielded RMSE values of 1.034 cm for Ground Control Points (GCPs) and 0.410 cm for Check Points (CPs), indicating high geometric accuracy. Meanwhile, the 3DGS model produced an RMSE value of 14.67 cm based on independent distance measurements against field observations. The C2C analysis between the SfM and 3DGS models resulted in a mean deviation of 2.997 cm with a standard deviation of 12.173 cm, indicating a relatively good overall geometric agreement. Visually, the 3DGS model provided a more realistic appearance and supported real-time rendering. Therefore, SfM demonstrated superior geometric accuracy, whereas 3DGS excelled in visualization quality, making both methods complementary for the digital documentation of cultural heritage objects.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fotogrametri, Structure from Motion, 3D Gaussian Splatting, akurasi geometrik, visualisasi 3D. Photogrammetry, Structure from Motion, 3D Gaussian Splatting, geometric accuracy, 3D visualization.
Subjects:	T Technology > T Technology (General) > T385 Visualization--Technique
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Samuel Agustinus Sukendro
Date Deposited:	08 Jul 2026 01:28
Last Modified:	08 Jul 2026 01:28
URI:	http://repository.its.ac.id/id/eprint/134446

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