The effectiveness of automatic identification system use on ship surveillance in navigation district type a class 1 Makassar

This study aims to evaluate the effectiveness of the Automatic Identification System (AIS) in supporting ship surveillance activities within the Navigation District Type A Class 1 Makassar. The primary objective is to assess how AIS contributes to enhancing maritime safety, improving vessel monitoring accuracy, and supporting decision-making processes for navigation authorities. A qualitative-descriptive methodology was employed, combining field observations, document analysis, and structured interviews with relevant stakeholders, including district officers and vessel operators. Data collected was analyzed to determine the system’s strengths, limitations, and overall impact on operational performance. The results show that AIS significantly enhances ship surveillance capabilities, particularly in high-density maritime routes such as the Makassar Strait. The system enables real-time tracking of vessel movements, facilitates the identification of illegal or unregistered ships, and improves communication during emergencies. Nevertheless, the research identified several challenges, including limited AIS coverage in remote areas, outdated equipment on smaller vessels, and the need for continuous technical training for operators. The study concludes that AIS is a vital tool in ensuring maritime safety and efficiency in the Makassar region. Practical implications include the need for infrastructure upgrades, policy improvements, and capacity building. These findings are expected to support future developments in maritime surveillance systems across Indonesia’s navigation districts.

Authors

Institutions

Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-05-17
DOI
https://doi.org/10.55214/25768484.v9i5.7292
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effectiveness of automatic identification system use on ship surveillance in navigation district type a class 1 Makassar

Haerani Asri, Oktavera Sulistiana, Subehana Rachman, Meti Kendek et al.
Edelweiss Applied Science and Technology
Maritime Navigation and Safety
article

The effectiveness of automatic identification system use on ship surveillance in navigation district type a class 1 Makassar

Haerani Asri, Oktavera Sulistiana, Subehana Rachman, Meti Kendek, Annisa Rahmah
article en

Abstract

This study aims to evaluate the effectiveness of the Automatic Identification System (AIS) in supporting ship surveillance activities within the Navigation District Type A Class 1 Makassar. The primary objective is to assess how AIS contributes to enhancing maritime safety, improving vessel monitoring accuracy, and supporting decision-making processes for navigation authorities. A qualitative-descriptive methodology was employed, combining field observations, document analysis, and structured interviews with relevant stakeholders, including district officers and vessel operators. Data collected was analyzed to determine the system’s strengths, limitations, and overall impact on operational performance. The results show that AIS significantly enhances ship surveillance capabilities, particularly in high-density maritime routes such as the Makassar Strait. The system enables real-time tracking of vessel movements, facilitates the identification of illegal or unregistered ships, and improves communication during emergencies. Nevertheless, the research identified several challenges, including limited AIS coverage in remote areas, outdated equipment on smaller vessels, and the need for continuous technical training for operators. The study concludes that AIS is a vital tool in ensuring maritime safety and efficiency in the Makassar region. Practical implications include the need for infrastructure upgrades, policy improvements, and capacity building. These findings are expected to support future developments in maritime surveillance systems across Indonesia’s navigation districts.

Edelweiss Applied Science and TechnologyVol. 9(5)
State University of Makassar (ID)
Openalex Percentile: Top 87%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.