eprintid: 48111
rev_number: 9
eprint_status: archive
userid: 2950
dir: disk0/00/04/81/11
datestamp: 2025-09-15 01:28:02
lastmod: 2025-09-15 01:28:02
status_changed: 2025-09-15 01:28:02
type: article
metadata_visibility: show
creators_name: Ramza, Harry
creators_id: hramza@uhamka.ac.id
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_name: Aprianto, Rizqi Naufal
contributors_name: Pinardi, Sofia
contributors_name: Sahar, Fahmi
contributors_name: Hartuti, Maryani
contributors_name: Ramza, Harry
contributors_id: rizqinaufal502@gmail.com
contributors_id: sofiapinardi@uhamka.ac.id
contributors_id: saharf008@gmail.com
contributors_id: mhartuti2009@gmail.com
contributors_id: hramza@uhamka.ac.id
corp_creators: Universitas Muhammadiyah Prof. Dr. HAMKA
title: PEMANFAATAN DATA SATELIT SENTINEL-1 DAN SENTINEL-2 UNTUK DETEKSI KAPAL TRANSHIPMENT DI PERAIRAN BINTAN.
ispublished: pub
subjects: T1
subjects: TK
divisions: 20201
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.
date: 2025-06-26
date_type: published
publisher: CV. Publikasi Indonesia
official_url: https://comserva.publikasiindonesia.id/index.php/comserva/about
full_text_status: public
publication: Jurnal Penelitian dan Pengabdian Masyarakat "COMSERVA"
volume: 5
number: 2
pagerange: 750-760
refereed: TRUE
issn: 2798-5210
related_url_url: https://issn.brin.go.id/terbit?search=COMSERVA
related_url_type: pub
funders: Universitas Muhammadiyah Prof. Dr. HAMKA
citation:   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     
document_url: http://repository.uhamka.ac.id/id/eprint/48111/1/PEMANFAATAN%20DATA%20SATELIT%20SENTINEL-1%20DAN%20SENTINEL-2.pdf