Wardhana, Bhisma Kusuma (2025) Pemanfaatan Metode Adaptive Threshold Dan Citra Sentinel-1 Untuk Analisis Persebaran Tumpahan Minyak Pada Permukaan Laut (Studi Kasus : Laut Jawa Bagian Barat). Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 5016211019-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
5016211019-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (3MB) | Request a copy |
Abstract
Fenomena tumpahan minyak salah satunya pada wilayah Perairan Laut Jawa Bagian Barat terjadi karena padatnya aktivitas industri minyak dan kemaritiman menyebabkan potensi kerentanan terhadap pencemaran minyak. Deteksi secara cepat persebaran tumpahan minyak perlu dilakukan guna meminimalisir dampak yang ditimbulkan. Dengan mengembangkan metode deteksi dini tumpahan minyak di Laut Jawa Bagian Barat menggunakan teknologi Synthetic Aperture Radar (SAR) dari Satelit Sentinel-1A menggunakan perangkat lunak SNAP dengan pendekatan Adaptive Threshold. Metode deteksi didasarkan pada prinsip bahwa minyak menyebabkan permukaan laut menjadi tenang sehingga nilai pantulan gelombang radar berkurang drastis. Hasil penelitian menunjukkan deteksi tumpahan minyak pada Juni 2023 dengan luas mencapai 73.823 km² dan tingkat akurasi 93,75% berdasarkan validasi confusion matrix. Penelitian ini juga mengintegrasikan analisis windfield untuk mendukung interpretasi citra radar, dengan hasil estimasi kecepatan angin 1-12 m/s dan arah dominan menuju barat laut hingga utara. Data windfield divalidasi menggunakan data reanalisis BMKG dan Copernicus Marine My Ocean Pro. Metode yang dikembangkan lebih baik dibandingkan citra optis dalam hal visualisasi dan kemampuan klasifikasi objek dalam area tumpahan. Temuan penelitian ini memberikan kontribusi penting untuk pengembangan sistem pemantauan dan respons efektif guna melindungi ekosistem laut, serta dapat menjadi dasar perencanaan mitigasi dampak lingkungan dari tumpahan minyak di wilayah tersebut.
=================================================================================================================================
Oil spill phenomena, particularly in the West Side of Java Sea, occur due to the dense oil industry and maritime activities causing potential vulnerability to oil pollution. Rapid detection of oil spill distribution needs to be conducted to minimize the resulting impacts. By developing an early detection method for oil spills in the Western Java Sea using Synthetic Aperture Radar (SAR) technology from Sentinel-1A Satellite using SNAP software with an Adaptive Threshold approach. The detection method is based on the principle that oil causes the sea surface to become calm, resulting in a drastic reduction in radar wave reflection values. Research results show oil spill detection in June 2023 with an area reaching 73,823 km² and an accuracy level of 93,75% based on confusion matrix validation. This research also integrates windfield analysis to support radar image interpretation, with wind speed estimation results of 1-12 m/s and dominant direction toward northwest to north. Windfield data was validated using BMKG reanalysis data and Copernicus Marine My Ocean Pro. The developed method is superior to optical imagery in terms of detection visualization and object classification capability within the spill area. The findings of this research provide important contributions to the development of effective monitoring and response systems to protect marine ecosystems, and can serve as a basis for planning environmental impact mitigation from oil spills in the region.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Adaptive Threshold, Perairan Laut Jawa Bagian Barat, Satelit Sentinel 1-A, Synthetic Aperture Radar (SAR), Tumpahan minyak,Oil spill, Synthetic Aperture Radar (SAR), Adaptive Threshold, West Side of Java Sea, Sentinel 1-A Satelite. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Bhisma Kusuma Wardhana |
| Date Deposited: | 15 Jul 2025 02:16 |
| Last Modified: | 15 Jul 2025 02:16 |
| URI: | http://repository.its.ac.id/id/eprint/119769 |
Actions (login required)
 |
View Item |