Machmud, Rahmi Marini (2026) Integrasi Model Kota 3D LoD1 Berbasis UAV-Fotogrametri dan Pemodelan Banjir Berbasis Fill-Spill-Merge untuk Analisis Genangan Perkotaan (Studi Kasus: Kawasan Jalan Jenderal Sudirman, Kota Gorontalo). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kawasan Jalan Jenderal Sudirman, Kota Gorontalo merupakan wilayah padat permukiman yang rentan terhadap genangan banjir berulang akibat topografi rendah dan kapasitas drainase yang terbatas. Keterbatasan DEM satelit dalam merepresentasikan mikro-topografi perkotaan menjadi kendala utama dalam pemodelan genangan yang akurat di kawasan permukiman padat. Penelitian ini mengintegrasikan data UAV fotogrametri berupa DEM, DTM, dan ortofoto untuk membangun model kota 3D LoD1 serta dua skenario pemodelan genangan berbasis HydroDEM di kawasan tersebut. Model 1 menggunakan DTM UAV dengan parameter drainase seragam, sedangkan Model 2 mengintegrasikan DTM UAV dengan pengukuran profil melintang terestris, dimensi saluran drainase aktual, dan inlet melalui proses surface adjustment. Simulasi genangan dilakukan menggunakan pendekatan Fill–Spill–Merge dengan curah hujan rencana 150 mm dan koefisien limpasan berbasis klasifikasi tutupan lahan (LULC). Hasil validasi model kota 3D menunjukkan RMSE tinggi bangunan sebesar 1,389 m, memenuhi toleransi standar OGC untuk LoD1 (≤5 m). Model 2 terbukti lebih akurat dibandingkan Model 1, dibuktikan dengan peningkatan CSI dari 0,417 menjadi 0,805, penurunan FAR dari 0,118 menjadi 0,065, serta penurunan RMSE kedalaman genangan dari 12,692 cm menjadi 8,424 cm. Berdasarkan Model 2 yang lebih representatif, seluruh ruas jalan di kawasan penelitian tergenang dengan kedalaman maksimum 0,383 m, dan sebanyak 95,7% dari 1.847 bangunan, meliputi permukiman, fasilitas pendidikan, pemerintahan, dan ibadah, terdampak pada tingkat ringan yang berpotensi mengganggu aksesibilitas dan fungsi kawasan secara keseluruhan.
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The Jenderal Sudirman Street area in Gorontalo City is a densely populated region highly vulnerable to recurrent flood inundation due to its low topography and limited drainage capacity. The inability of satellite-derived DEMs to represent urban micro-topography remains a major obstacle in producing accurate inundation models for densely built-up settlements. This study integrated UAV photogrammetric data, including DEM, DTM, and orthophoto, to construct a 3D LoD1 city model and two HydroDEM based inundation modeling scenarios in the study area. Model 1 employed a UAV derived DTM with uniform drainage parameters, whereas Model 2 integrated the UAV DTM with terrestrial cross-sectional measurements, actual drainage channel dimensions, and inlet locations through a surface adjustment process. Inundation simulations were conducted using the Fill–Spill–Merge approach with a design rainfall of 150 mm and a runoff coefficient derived from land use/land cover (LULC) classification. The 3D city model validation yielded a building height RMSE of 1.389 m, satisfying the OGC standard tolerance for LoD1 (≤5 m). Model 2 proved more accurate than Model 1, as indicated by an increase in CSI from 0.417 to 0.805, a decrease in FAR from 0.118 to 0.065, and a reduction in inundation depth RMSE from 12.692 cm to 8.424 cm. Based on the more representative Model 2, all road segments within the study area were found to be inundated with a maximum depth of 0.383 m, and 95.7% of the 1,847 buildings, comprising residential, educational, governmental, and religious facilities, were affected at a minor impact level, potentially disrupting accessibility and the overall functionality of the area.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Banjir, HydroDEM, Pemodelan 3D, UAV Fotogrametri, 3D Modelling, Flood, HydroDEM, UAV Photogrametry |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > GB Physical geography > GB1399.2 Flood forecasting. S Agriculture > S Agriculture (General) > S600.7.R35 Rain and rainfall T Technology > TA Engineering (General). Civil engineering (General) > TA590 Topographical surveying U Military Science > U Military Science (General) > UG Military Engineering > UG1242.D7 Unmanned aerial vehicles. Drone aircraft |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Rahmi Marini Machmud |
| Date Deposited: | 21 Jul 2026 10:27 |
| Last Modified: | 21 Jul 2026 10:27 |
| URI: | http://repository.its.ac.id/id/eprint/136109 |
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