Ramza, Harry (2025) PEMANFAATAN DATA SATELIT SENTINEL-1 DAN SENTINEL-2 UNTUK DETEKSI KAPAL TRANSHIPMENT DI PERAIRAN BINTAN. Jurnal Penelitian dan Pengabdian Masyarakat "COMSERVA", 5 (2). pp. 750-760. ISSN 2798-5210
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Archive (Perairan Indonesia memiliki aktivitas pelayaran yang sangat tinggi, sehingga memerlukan sistem pemantauan yang andal untuk mendukung keselamatan navigasi, pengawasan maritim, dan pengelolaan sumber daya laut. Penelitian ini bertujuan untuk)
PEMANFAATAN DATA SATELIT SENTINEL-1 DAN SENTINEL-2.pdf - Published Version Download (832kB) |
Abstract
Indonesia’s waters are known for their intense maritime traffic, necessitating robust monitoring systems to support navigation safety, maritime surveillance, and marine resource management. This research aims to utilize Sentinel-1, Sentinel-2, and Automatic Identification System (AIS) data for vessel detection in the Bintan waters. Vessel detection from Sentinel-1 imagery was performed using the Constant False Alarm Rate (CFAR) algorithm, a threshold-based object detection technique combined with classification algorithms to distinguish ships from the water background. Visual interpretation of Sentinel-2 imagery was applied to identify suspected transshipment activities. AIS data served as a reference for verifying the location and type of detected vessels. The results demonstrate that integrating Sentinel-1, Sentinel-2, and AIS data enhances the accuracy of ship identification, particularly in detecting vessels not equipped with AIS transponders. This study identified five suspected transshipment events on September 13, 2024, and seven on November 12, 2024. These findings provide initial evidence for maritime security authorities to conduct further analysis and support effective decision-making.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Teknik Elektro |
| Depositing User: | Harry Ramza |
| Date Deposited: | 15 Sep 2025 01:28 |
| Last Modified: | 15 Sep 2025 01:28 |
| URI: | http://repository.uhamka.ac.id/id/eprint/48111 |
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