Simulasi Tanah Longsor Berbasis Data Geospasial Menggunakan Physics Unreal Engine 5

Nugroho, Hilmy Hanindia (2026) Simulasi Tanah Longsor Berbasis Data Geospasial Menggunakan Physics Unreal Engine 5. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mengembangkan sistem visualisasi tanah longsor berbasis data geospasial di Unreal Engine 5 yang mengintegrasikan perhitungan Faktor Keamanan (FoS) dengan simulasi fisika aliran debris. Data geospasial meliputi kemiringan lereng (SRTM), curah hujan (CHIRPS), vegetasi (Sentinel-2 NDVI), dan jarak sungai (HydroSHEDS) dikumpulkan melalui Google Earth Engine dan digunakan untuk menghitung FoS menggunakan model lereng tak hingga dengan parameter yang bervariasi secara spasial. Hasil perhitungan vivisualisasikan sebagai overlay peta risiko tiga dimensi pada mesh terrain yang dihasilkan dari data DEM SRTM. Simulasi fisika aliran debris diimplementasikan menggunakan Chaos Physics dengan tiga skenario curah hujan dan parameter yang diturunkan dari sifat geoteknik tanah andosol, diuji pada dua terrain berbeda — Kabupaten Bogor dan Cimanggung, Sumedang. Hasil simulasi menunjukkan peningkatan jarak jangkauan debris yang konsisten dari skenario kering ke jenuh pada kedua terrain, mengkonfirmasi bahwa sistem merespons secara benar terhadap variasi kondisi curah hujan dan karakteristik terrain. Sistem yang dikembangkan mendemonstrasikan kelayakan integrasi data geospasial dengan simulasi fisika real-time berbasis game engine sebagai media visualisasi kerawanan tanah longsor.
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This research develops a geospatial data-based landslide visualization system in UnrealEngine 5 integrating Factor of Safety (FoS) computation with physics-based debris flow simulation. Geospatial data including slope (SRTM), rainfall (CHIRPS), vegetation (Sentinel-2 NDVI), and river distance (HydroSHEDS) were collected via Google Earth Engine and used to compute FoS using the infinite slope model with spatially variable parameters. Results are visualized as a three-dimensional risk map overlay on terrain mesh derived from SRTM DEM data. Physics-based debris flow simulation was implemented using Chaos Physics with three rainfall scenarios and parameters derived from andosol soil geotechnical properties, tested on two terrain locations — Bogor Regency and Cimanggung, Sumedang. Simulation results show consistent increases in debris runout distance from dry to saturated scenarios on both terrains, confirming that the system correctly responds to variations in rainfall conditions and terrain characteristics. The developed system demonstrates the feasibility of integrating geospatial data with real-time game engine physics simulation as a medium for landslide hazard visualization.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	tanah longsor, Faktor Keamanan, Unreal Engine 5, Chaos Physics, data geospasial, Google Earth Engine, andslide, Factor of Safety, Unreal Engine 5, Chaos Physics, geospatial data, Google Earth Engine
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data L Education > LB Theory and practice of education > LB1029.S53 Educational games. Simulation methods Q Science > QE Geology > QE599 Landslides. Rockslides
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Hilmy Hanindia Nugroho
Date Deposited:	24 Jul 2026 02:14
Last Modified:	24 Jul 2026 02:14
URI:	http://repository.its.ac.id/id/eprint/136684

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