Navigational Safety Assessment in Benoa Channel Based on Course over Ground and Trajectory

This study evaluated ship berthing safety in Benoa Port using AIS data and the MMG model. Firstly, AIS data derived from the AIS receiver at Udayana University was analyzed based on the COG entropy method. Secondly, the trajectory of the Passenger Ship Celebrity Solstice, the largest ship in the port with 317.19 meters LOA and 36.9 meters width, was evaluated using the shortest distance to an obstacle based on the trajectory plotted from the AIS data. Finally, a Pure Car Carrier was simulated based on the Mathematical Maneuvering Group model to berth in the port to assess berthing safety in the Port. The COG entropy method is implemented in three positions in the port channel, the course-changing, course-keeping, and turning basing areas. The study shows that ship berthing safety using the COG entropy in all areas is at high risk. The shortest distances of the Celebrity Solstice and the Pure Car Carrier were to the obstacle of shallow water, less than the distance recommended by Innoe. Based on the maneuvering simulation results, the maximum wind and current speed for the port operation is recommended.

Authors

Publication Details

Journal
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Published
2026-01-01
DOI
https://doi.org/10.12716/1001.20.01.06
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

Navigational Safety Assessment in Benoa Channel Based on Course over Ground and Trajectory

Afif Zuhri Arfianto, Gusma Hamdana Putra, Dhimas Widhi Handani, I Putu Sindhu Asmara et al.
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Maritime Navigation and Safety
article

Navigational Safety Assessment in Benoa Channel Based on Course over Ground and Trajectory

Afif Zuhri Arfianto, Gusma Hamdana Putra, Dhimas Widhi Handani, I Putu Sindhu Asmara, Ketut Buda Artana
article en

Abstract

This study evaluated ship berthing safety in Benoa Port using AIS data and the MMG model. Firstly, AIS data derived from the AIS receiver at Udayana University was analyzed based on the COG entropy method. Secondly, the trajectory of the Passenger Ship Celebrity Solstice, the largest ship in the port with 317.19 meters LOA and 36.9 meters width, was evaluated using the shortest distance to an obstacle based on the trajectory plotted from the AIS data. Finally, a Pure Car Carrier was simulated based on the Mathematical Maneuvering Group model to berth in the port to assess berthing safety in the Port. The COG entropy method is implemented in three positions in the port channel, the course-changing, course-keeping, and turning basing areas. The study shows that ship berthing safety using the COG entropy in all areas is at high risk. The shortest distances of the Celebrity Solstice and the Pure Car Carrier were to the obstacle of shallow water, less than the distance recommended by Innoe. Based on the maneuvering simulation results, the maximum wind and current speed for the port operation is recommended.

TransNav the International Journal on Marine Navigation and Safety of Sea TransportationVol. 20(1)
Life below water
Openalex Percentile: Top 12%
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.

Navigational Safety Assessment in Benoa Channel Based on Course over Ground and Trajectory — Afif Zuhri Arfianto, Gusma Hamdana Putra, et al. · TransNav the International Journal on Marine Navigation and Safety of Sea Transportation (2026) | TGRS Research Map | TGRS