Proceedings of the 11th International Applied Business and Engineering Conference, ABEC 2023, September 21st, 2023, Bengkalis, Riau, Indonesia

Research Article

Development of Ship Traffic Monitoring System in Restricted Areas Based on AIS Data

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  • @INPROCEEDINGS{10.4108/eai.21-9-2023.2342921,
        author={Depandi  Enda and Rezki  Kurniati and Sri  Mawarni and Agnes Arum Budiana and Hardiyanto  Hardiyanto},
        title={Development of Ship Traffic Monitoring System in Restricted Areas Based on AIS Data},
        proceedings={Proceedings of the 11th International Applied Business and Engineering Conference, ABEC 2023, September 21st, 2023, Bengkalis, Riau, Indonesia},
        publisher={EAI},
        proceedings_a={ABEC},
        year={2024},
        month={2},
        keywords={monitoring system ship traffic restricted areas ais data},
        doi={10.4108/eai.21-9-2023.2342921}
    }
    
  • Depandi Enda
    Rezki Kurniati
    Sri Mawarni
    Agnes Arum Budiana
    Hardiyanto Hardiyanto
    Year: 2024
    Development of Ship Traffic Monitoring System in Restricted Areas Based on AIS Data
    ABEC
    EAI
    DOI: 10.4108/eai.21-9-2023.2342921
Depandi Enda1,*, Rezki Kurniati1, Sri Mawarni1, Agnes Arum Budiana1, Hardiyanto Hardiyanto1
  • 1: Politeknik Negeri Bengkalis
*Contact email: depandienda@polbeng.ac.id

Abstract

The utilization of Automatic Identification System (AIS) data in various specific aspects has been widely employed. The presence of vessel activities in these areas can pose risks to the integrity of vital objects within forbidden zones. Hence, a system capable of real-time ship traffic monitoring within these zones is highly essential. This research aims to develop a system that can automatically monitor ship movements in forbidden areas by mapping the coordinates data of these areas into a database. Subsequently, this coordinate data is used as a reference to detect vessels entering restricted zones based on AIS data received by the Remote Base Station at Polbeng. The functionality of the developed monitoring system is tested using the blackbox method, where test results demonstrate the successful operation of the system's overall functional features. On the web page compatibility side, all page components have been displayed successfully on desktop and tablet devices. As for performance, the measurement is based on webpage load times, with an average load time of 737ms on the Google Chrome browser and 907ms on the Microsoft Edge browser, indicating a satisfactory outcome. Thus, the overall real-time monitoring system that has been built is deemed suitable for implementation in real-world scenarios and is expected to assist stakeholders in monitoring vessel traffic activities around restricted areas.