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

Research Article

A Review of Public Compliance with the Function of Markings and Traffic Signs in Bengkalis City

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  • @INPROCEEDINGS{10.4108/eai.21-9-2023.2342897,
        author={Faisal  Ananda and Arsyistawa  Arsyistawa and Boby  Rahman and Mohamad Azwan Bin Ikhwat and Mutia  Lisya and Muhammad Gala Garcya},
        title={A Review of Public Compliance with the Function of Markings and Traffic Signs in Bengkalis City},
        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={decision tree spss markings traffic signs},
        doi={10.4108/eai.21-9-2023.2342897}
    }
    
  • Faisal Ananda
    Arsyistawa Arsyistawa
    Boby Rahman
    Mohamad Azwan Bin Ikhwat
    Mutia Lisya
    Muhammad Gala Garcya
    Year: 2024
    A Review of Public Compliance with the Function of Markings and Traffic Signs in Bengkalis City
    ABEC
    EAI
    DOI: 10.4108/eai.21-9-2023.2342897
Faisal Ananda1,*, Arsyistawa Arsyistawa1, Boby Rahman1, Mohamad Azwan Bin Ikhwat2, Mutia Lisya1, Muhammad Gala Garcya1
  • 1: Politeknik Negeri Bengkalis
  • 2: Politeknik Melaka
*Contact email: anandabrawijaya@gmail.com

Abstract

Transportation is a need for every individual, which makes people familiar with the terms traffic signs and road markings. Bengkalis City has numerous locations for traffic signs and road markings, however there are still issues with the general public's poor degree of attention to them. Analysis was performed using statistics software (SPSS), and a Decision Tree was used to classify. From the results of the analysis, it was determined that 61.11% of the signs were in good condition and 38.89% were damaged. According to the markings' state, 27.16 percent of them were in good shape, while 72.84 percent were in damaged condition. In accordance with the findings of the investigation on community behavior in the field, the conditions were different from those reported by the distribution of questionnaires, with 55.91% of respondents obeying to signs and markings.

Keywords
decision tree spss markings traffic signs
Published
2024-02-19
Publisher
EAI
http://dx.doi.org/10.4108/eai.21-9-2023.2342897
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