Vito, Alvin Vito Satrio Nugroho (2026) Analisis Dinamika Sedimentasi Multitemporal Berbasis Integrasi Multibeam Echosounder Dan Sub Bottom Profiler Pada Alur Pelayaran Timur Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Alur Pelayaran Timur Surabaya (APTS) merupakan jalur navigasi strategis yang rentan mengalami perubahan morfologi dasar laut akibat dinamika sedimentasi. Penelitian ini bertujuan untuk menganalisis perubahan sedimentasi multitemporal pada tahun 2024 dan 2025 melalui integrasi data Multibeam Echosounder (MBES) dan Sub-bottom Profiler (SBP). Data yang digunakan meliputi batimetri resolusi tinggi, intensitas hambur balik, serta profil lapisan sedimen bawah permukaan. Hasil pengolahan batimetri menunjukkan bahwa pada tahun 2024 kedalaman minimum dan maksimum masing-masing sebesar −0,03 m dan −29,82 m, sedangkan pada tahun 2025 kedalaman minimum tercatat −5,92 m dan maksimum −24,01 m. Nilai intensitas relatif backscatter pada tahun 2024 berada pada rentang 10 dB hingga −93 dB, sementara pada tahun 2025 berada pada rentang 3,7 dB hingga −64,34 dB. Berdasarkan nilai tersebut, klasifikasi sedimen menunjukkan dominasi pasir pada tahun 2024, sedangkan pada tahun 2025 dominasi bergeser ke sedimen batuan, dengan pasir tetap terdistribusi signifikan. Analisis perubahan sedimen menggunakan metode cut and fill menunjukkan luasan area terdampak sebesar 3.149.600 m², dengan area pengendapan 711.431,47 m² (22,6%) dan area erosi 2.457.509,6 m² (77,4%). Interpretasi data SBP menunjukkan adanya perubahan ketebalan sedimen antar tahun, namun bersifat tidak signifikan, sehingga perubahan morfologi dasar laut didominasi oleh proses redistribusi sedimen permukaan. Integrasi MBES dan SBP memberikan dasar teknis yang kuat untuk evaluasi pemeliharaan alur pelayaran secara berkelanjutan.
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The Surabaya Eastern Shipping Channel is a strategic navigation route that is highly susceptible to seabed morphological changes driven by sedimentation dynamics. This study aims to analyze multitemporal sedimentation changes between 2024 and 2025 through the integration of Multibeam Echosounder (MBES) and Sub-bottom Profiler (SBP) data. The datasets include high-resolution bathymetry, acoustic backscatter intensity, and shallow subsurface sediment profiles. Bathymetric analysis indicates that in 2024 the minimum and maximum seabed depths were −0.03 m and −29.82 m, respectively, while in 2025 the minimum depth reached −5.92 m and the maximum depth was −24.01 m. The uncalibrated backscatter intensity ranged from 10 dB to −93 dB in 2024 and from 3.7 dB to −64.34 dB in 2025. Based on these values, sediment classification results show that sand was the dominant sediment type in 2024, whereas in 2025 the dominance shifted toward rocky substrates, although sand remained widely distributed. Sediment change analysis using the cut and fill method reveals a total affected area of 3,149,600 m², comprising 711,431.47 m² (22.6%) of deposition and 2,457,509.6 m² (77.4%) of erosion, indicating that erosional processes were more dominant. SBP interpretation shows that changes in sediment thickness between 2024 and 2025 were present but not significant, suggesting that seabed morphological changes were primarily controlled by surface sediment redistribution. The integration of MBES and SBP provides a robust technical basis for sustainable shipping channel maintenance and sediment management.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Multibeam Echosounder, Sub-bottom Profiler, Backscatter, Cut and Fill, Sedimentasi, Alur Pelayaran, Sedimentation, Shipping Channel |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > GC Oceanography |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Alvin Vito Satrio Nugroho |
| Date Deposited: | 03 Feb 2026 07:18 |
| Last Modified: | 03 Feb 2026 07:18 |
| URI: | http://repository.its.ac.id/id/eprint/131695 |
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