Karakterisasi Jenis Sedimen Morfologi Dasar Laut Berbasis Enhanced Angular Range Analysis (eARA) Menggunakan Data Multibeam Echosounder

Ramadlan, Ahmad Himami (2025) Karakterisasi Jenis Sedimen Morfologi Dasar Laut Berbasis Enhanced Angular Range Analysis (eARA) Menggunakan Data Multibeam Echosounder. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemetaan dasar laut yang komprehensif merupakan kebutuhan mendesak di perairan Indonesia mengingat hanya 26,1% permukaan dasar laut dunia yang telah terpetakan secara detail hingga tahun 2024. Teknologi Multibeam Echosounder (MBES) mampu menghasilkan data batimetri resolusi tinggi dan backscatter secara bersamaan, namun metode Angular Range Analysis (ARA) konvensional menunjukkan ketidakkonsistenan klasifikasi pada area dengan variasi morfologi yang tinggi. Penelitian ini bertujuan menganalisis topografi dasar laut, mengkarakterisasi sedimen melalui data backscatter, serta mengkaji penerapan Enhanced Angular Range Analysis (eARA) dalam karakterisasi morfologi dasar laut. Data akuisisi MBES Reson Seabat T20P tahun 2025 pada area seluas ±20 km² diolah melalui koreksi batimetri, normalisasi backscatter, segmentasi Object-Based Image Analysis (OBIA) dengan metode mean shift, serta derivasi parameter morfologi berupa slope dan Terrain Ruggedness Index (TRI). Hasil analisis menunjukkan variasi kedalaman antara 5,03 hingga 197,98 meter pada area survei, dengan teridentifikasinya empat fitur morfologi utama, yaitu terumbu karang dan mound di zona utara, serta knoll dan sea channel di zona tengah. Sea channel mencatat nilai kelerengan hingga 70° dan TRI 90–100, sementara knoll mencatat intensitas backscatter tertinggi pada rentang -16 hingga -25 dB dengan asosiasi sedimen kelas sand–silt. Distribusi sedimen hasil eARA didominasi kelas silt (63,36%), diikuti clay (28,61%) dan sand (8,03%). Dibandingkan ARA konvensional, eARA mereduksi standar deviasi estimasi ukuran butir sebesar 15,1% dari 2,3197 menjadi 1,9694 phi, dengan nilai mean yang hampir identik (selisih 0,0099 phi) dan korelasi Pearson r = 0,8445. Hasil ini mengkonfirmasi bahwa eARA menghasilkan karakterisasi morfologi dasar laut yang lebih stabil dan representatif, menjadikannya metode yang prospektif untuk survei kelautan di perairan Indonesia yang memiliki kompleksitas morfologi tinggi.
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Comprehensive seabed mapping has become an urgent necessity in Indonesian waters, considering that only 26.1% of the global seafloor had been mapped in detail by 2024. Multibeam Echosounder (MBES) technology is capable of simultaneously producing high-resolution bathymetric and backscatter data; however, the conventional Angular Range Analysis (ARA) method often exhibits classification inconsistencies in areas characterized by high morphological variability. This study aims to analyze seafloor topography, characterize seabed sediments using backscatter data, and evaluate the application of Enhanced Angular Range Analysis (eARA) for seabed morphology characterization. MBES data acquired in 2025 using a Reson Seabat T20P system over an area of approximately 20 km² were processed through bathymetric correction, backscatter normalization, Object-Based Image Analysis (OBIA) segmentation using the mean shift method, and derivation of morphological parameters, including slope and Terrain Ruggedness Index (TRI). The results reveal water depths ranging from 5.03 to 197.98 meters within the survey area and identify four major morphological features: coral reefs and mounds in the northern zone, as well as knolls and sea channels in the central zone. The sea channel exhibits slope values of up to 70° and TRI values between 90 and 100, while the knoll records the highest backscatter intensity, ranging from -16 to -25 dB, associated with sand–silt sediment classes. Sediment distribution derived from eARA is dominated by silt (63.36%), followed by clay (28.61%) and sand (8.03%). Compared with conventional ARA, eARA reduces the standard deviation of grain-size estimation by 15.1%, from 2.3197 to 1.9694 phi, while maintaining nearly identical mean values (difference of 0.0099 phi) and a strong Pearson correlation coefficient (r = 0.8445). These findings confirm that eARA provides a more stable and representative characterization of seabed morphology, demonstrating its potential as a promising method for marine surveys in Indonesian waters with complex morphological conditions.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Morfologi, Backscatter, Enhanced Angular Range Analysis, Morphology, Backscatter, Enhanced Angular Range Analysis
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing Q Science > QE Geology Q Science > QE Geology > QE471 Sedimentary rocks. Sedimentology
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Ahmad Himami Ramadlan
Date Deposited:	18 Jul 2026 05:58
Last Modified:	20 Jul 2026 04:03
URI:	http://repository.its.ac.id/id/eprint/135400

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