Analisis Spasial Kontribusi Morfologi Dasar Laut Tehadap Karakteristik Arus Laut Seasonal Di Perairan Banten

Rusmana, Tatang (2026) Analisis Spasial Kontribusi Morfologi Dasar Laut Tehadap Karakteristik Arus Laut Seasonal Di Perairan Banten. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perairan Banten merupakan wilayah strategis yang menghubungkan Laut Jawa dan Samudra Hindia melalui Selat Sunda, dengan dinamika oseanografi yang kompleks dipengaruhi oleh sistem monsun dan topografi dasar laut. Penelitian ini bertujuan untuk menganalisis pola spasial kedalaman laut serta mengkaji kontribusi morfologi dasar laut terhadap variabilitas arus laut musiman (seasonal) di wilayah tersebut. Data yang digunakan meliputi data batimetri dari BATNAS (Badan Informasi Geospasial) dan data arus laut periode 1993–2020 dari Copernicus Marine Environment Monitoring Service (CMEMS). Metode analisis yang diterapkan adalah Geographically Weighted Regression (GWR) untuk memodelkan hubungan spasial lokal antara parameter morfologi—yang direpresentasikan oleh Broad-Scale dan Fine-Scale Bathymetric Position Index (BPI)—dengan kecepatan arus pada lapisan permukaan, lapisan campuran (mixed layer), dan lapisan termoklin. Hasil penelitian menunjukkan adanya heterogenitas morfologi yang kontras; perairan utara didominasi paparan dangkal yang landai, sedangkan Selat Sunda dan perairan selatan memiliki topografi curam dan kompleks dengan fitur vulkanik. Secara oseanografi, arus permukaan di Selat Sunda Bagian Utara secara konsisten menunjukkan kecepatan tertinggi akibat efek penyempitan selat. Pada lapisan yang lebih dalam (termoklin), pengaruh angin melemah dan kontrol kedalaman menjadi lebih dominan. Hasil pemodelan GWR menunjukkan nilai R2 yang sangat tinggi (>0,99), mengindikasikan morfologi dasar laut memiliki hubungan spasial lokal yang sangat kuat dan berperan efektif sebagai pengontrol distribusi kecepatan arus, terutama di wilayah dengan kompleksitas morfologi tinggi seperti di sekitar Pulau Sangiang. Penelitian ini menyimpulkan bahwa morfologi dasar laut memberikan kontribusi signifikan terhadap karakteristik arus laut di Perairan Banten, dengan tingkat pengaruh lokal yang bervariasi secara spasial dan vertikal.
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Banten Waters represent a strategic region connecting the Java Sea and the Indian Ocean via the Sunda Strait, characterized by complex oceanographic dynamics influenced by the monsoon system and seabed topography. This study aims to analyze the spatial patterns of sea depth and examine the contribution of seabed morphology to the variability of seasonal ocean currents in the region. The study utilizes bathymetric data from BATNAS (Geospatial Information Agency) and ocean current data from 1993–2020 provided by the Copernicus Marine Environment Monitoring Service (CMEMS). The Geographically Weighted Regression (GWR) method is applied to model the local spatial relationships between morphological parameters—represented by Broad-Scale and Fine-Scale Bathymetric Position Index (BPI)—and current velocities across surface, mixed, and thermocline layers. The results reveal contrasting morphological heterogeneity; northern waters are dominated by a shallow, gentle shelf, while the Sunda Strait and southern waters feature steep, complex morphology with volcanic features. ceanographically, surface currents in the Northern Sunda Strait consistently exhibit the highest velocities due to the strait narrowing effect. In deeper layers (thermocline), wind influence diminishes, and topographic control becomes dominant. GWR modeling results yield very high R^2 values (>0.99), indicating that seabed morphology has a strong local spatial relationship and acts as an effective controller of current velocity distribution, particularly in areas with high topographic complexity such as around Sangiang Island and Anak Krakatau. This study concludes that seabed morphology significantly contributes to ocean current characteristics in Banten Waters, with influence varying both spatially and vertically.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Arus laut, Morfologi dasar laut, Perairan Banten, Bathymetric Position Index (BPI), Geographically Weighted Regression (GWR) ============================================================ Ocean currents, Seabed morphology, Banten waters, Bathymetric Position Index (BPI), Geographically Weighted Regression (GWR).
Subjects:	G Geography. Anthropology. Recreation > GC Oceanography
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Tatang Rusmana
Date Deposited:	03 Feb 2026 01:23
Last Modified:	03 Feb 2026 01:24
URI:	http://repository.its.ac.id/id/eprint/131728

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