Pembuatan DEM Dari Data UAV LiDAR untuk Mendukung Pemodelan 3D Genangan Banjir di Kampus ITS Surabaya

Irawan, Reyhan Dhihan (2025) Pembuatan DEM Dari Data UAV LiDAR untuk Mendukung Pemodelan 3D Genangan Banjir di Kampus ITS Surabaya. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Urbanisasi yang pesat dan perubahan iklim telah meningkatkan risiko banjir di kota-kota besar, termasuk Surabaya, yang memiliki topografi dataran rendah dan sistem drainase yang kurang optimal. Kampus Institut Teknologi Sepuluh Nopember (ITS) Surabaya sering mengalami genangan banjir akibat intensitas hujan tinggi dan kondisi infrastruktur drainase. Penelitian ini bertujuan untuk memodelkan genangan banjir secara tiga dimensi (3D) di Kampus ITS menggunakan data Digital Elevation Model (DEM) berbasis teknologi UAV LiDAR. Teknologi UAV LiDAR memungkinkan akuisisi data topografi beresolusi tinggi yang dapat meningkatkan akurasi pemodelan genangan banjir. Metode penelitian melibatkan pengumpulan data DEM menggunakan UAV LiDAR dan verifikasi lapangan untuk mendapatkan representasi topografi yang akurat. Hasil validasi menunjukkan nilai ketelitian horizontal sebesar CE90 = 0,0387 m dan vertikal sebesar LE90 = 0,0779 m, yang memenuhi standar untuk pemetaan skala besar. Pemodelan 3D genangan banjir dilakukan menggunakan perangkat lunak HEC-RAS dengan skenario curah hujan periode ulang 2, 5, dan 10 tahun. Hasil pemodelan menunjukkan bahwa genangan terluas terjadi pada skenario hujan 10 tahunan, dengan distribusi genangan dominan di area cekungan dan area sekitar saluran air. Visualisasi 3D yang dihasilkan menunjukkan integrasi antara genangan dan bangunan hasil digitasi ortofoto. Ditemukan bahwa semakin tinggi resolusi DEM, maka estimasi luas dan kedalaman genangan semakin akurat dan detail. Dengan demikian, hasil penelitian ini dapat membantu pemangku kepentingan dalam perencanaan dan pengelolaan risiko banjir di lingkungan Kampus ITS, serta menjadi referensi dalam pengembangan infrastruktur perkotaan yang lebih adaptif terhadap perubahan iklim.
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Rapid urbanization and climate change have increased the risk of flooding in major cities, including Surabaya, which has low-lying topography and suboptimal drainage systems. The campus of the Sepuluh Nopember Institute of Technology (ITS) in Surabaya often experiences flooding due to high rainfall intensity and poor drainage infrastructure. This study aims to model flood inundation in three dimensions (3D) at the ITS campus using Digital Elevation Model (DEM) data based on UAV LiDAR technology. UAV LiDAR technology enables the acquisition of high-resolution topographic data, which can improve the accuracy of flood inundation modeling. The research method involves collecting DEM data using UAV LiDAR and field verification to obtain an accurate topographic representation. Validation results show horizontal accuracy values of CE90 = 0.0387 m and vertical accuracy values of LE90 = 0.0779 m, which meet the standards for large-scale mapping. 3D flood inundation modeling was performed using HEC-RAS software with rainfall scenarios for 2-, 5-, and 10-year return periods. Modeling results indicate that the widest inundation occurs in the 10-year rainfall scenario, with dominant inundation distribution in basin areas and areas around water channels. The generated 3D visualization shows the integration between flooding and buildings derived from orthophoto digitization. It was found that the higher the DEM resolution, the more accurate and detailed the estimation of flood extent and depth becomes. Thus, the results of this study can assist stakeholders in planning and managing flood risks within the ITS Campus environment, as well as serve as a reference for developing more climate-resilient urban infrastructure.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Banjir, Digital Elevation Model, Pemodelan 3D, UAV LiDAR, 3D Modeling, Digital Elevation Model, flood, UAV LiDAR
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Reyhan Dhihan Irawan
Date Deposited:	18 Jul 2025 06:29
Last Modified:	18 Jul 2025 06:29
URI:	http://repository.its.ac.id/id/eprint/120039

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