Aminah, Hamidatul (2019) Studi Variasi Permukaan Laut (Sea Level Variability) Menggunakan Data Satelit Altimetri SARAL/AltiKa. (Studi Kasus: Laut Jawa, Selat Karimata, dan Sebagian Laut Cina Selatan). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Teknologi satelit altimetri digunakan untuk mengamati tinggi permukaan laut serta memantau dinamika perubahan muka laut secara berkala. Nilai *Sea Level Anomaly* (SLA) pada setiap wilayah berbeda-beda dan dipengaruhi oleh berbagai faktor, salah satunya adalah fenomena *El Niño–Southern Oscillation* (ENSO) yang menyebabkan variabilitas iklim di kawasan ekuator Samudra Pasifik dan berbagai wilayah di dunia, termasuk Indonesia. Penelitian ini bertujuan menghitung nilai SLA menggunakan data satelit SARAL/AltiKa dan satelit Jason series serta menganalisis hubungannya dengan indeks ENSO. Hasil penelitian menunjukkan bahwa variasi perubahan muka laut berdasarkan data satelit SARAL/AltiKa berada pada kisaran -10 mm hingga 8 mm, sedangkan data satelit Jason series menunjukkan variasi antara -2 mm hingga 11 mm. Penurunan muka laut teridentifikasi di Laut Jawa, sedangkan kenaikan muka laut terjadi di Selat Karimata dan sebagian wilayah Laut Cina Selatan. Hasil pengolahan data selama periode 2013–2018 menunjukkan bahwa nilai SLA yang diperoleh dari data SARAL/AltiKa tidak dipengaruhi secara signifikan oleh fenomena ENSO. Hal ini ditunjukkan oleh nilai koefisien korelasi antara SLA dua bulanan (*bi-monthly*) dan *Multivariate ENSO Index* (MEI) sebesar -0,3117, yang mengindikasikan hubungan negatif dengan tingkat korelasi yang rendah. Sebaliknya, korelasi antara data SLA yang diperoleh dari satelit SARAL/AltiKa dan Jason series sangat kuat dan positif, dengan nilai koefisien korelasi sebesar 0,9332.
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Satellite altimetry technology is widely used to observe sea level and monitor global sea level dynamics over time. *Sea Level Anomaly* (SLA) varies considerably among different regions and is influenced by several factors, one of which is the *El Niño–Southern Oscillation* (ENSO), a climate phenomenon that affects the equatorial Pacific Ocean and many other parts of the world, including Indonesia. This study aims to estimate SLA using data from the SARAL/AltiKa and Jason series satellites and to examine its relationship with the ENSO index. The results indicate that sea level variations derived from SARAL/AltiKa data range from -10 mm to 8 mm, while those derived from the Jason series range from -2 mm to 11 mm. A decrease in sea level was observed in the Java Sea, whereas sea level rise occurred in the Karimata Strait and parts of the South China Sea. Analysis of data from 2013 to 2018 shows that SLA derived from SARAL/AltiKa data was not significantly influenced by the ENSO phenomenon during the study period. This is indicated by the correlation coefficient of -0.3117 between the bi-monthly SLA and the *Multivariate ENSO Index* (MEI), suggesting a weak negative relationship. In contrast, the correlation between SLA estimates derived from the SARAL/AltiKa and Jason series satellites is very strong and positive, with a correlation coefficient of 0.9332.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Altimetri, ENSO, Sea Level Anomaly, Trend |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing G Geography. Anthropology. Recreation > GC Oceanography G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Hamidatul Aminah |
| Date Deposited: | 22 Jul 2026 06:41 |
| Last Modified: | 22 Jul 2026 06:41 |
| URI: | http://repository.its.ac.id/id/eprint/65368 |
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