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All Journal Parameter: Jurnal Matematika, Statistika dan Terapannya
Sianturi, Micahel Dolly
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Mathematics

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BINARY LOGISTIC REGRESSION ANALYSIS OF TRAFFIC ACCIDENT RISK FACTORS IN INDONESIA Amalia, Seila; Putri, Amelia; Sianturi, Micahel Dolly; Hutapea, Risca Octaviani; Ndruru, Albert Servant; Arnita, Arnita
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp63-72

Abstract

This study analyzes the factors influencing the severity of traffic accidents in Indonesia using binary logistic regression. Data from Kaggle includes variables such as age, gender, driving experience, lighting conditions, and weather conditions. The results indicate that poor lighting and adverse weather significantly increase the likelihood of fatal accidents by 88.8% and 96.5%, respectively. The logistic regression model achieves 76% accuracy with a good data fit (Hosmer-Lemeshow p-value = 0.144). These findings provide valuable insights for traffic safety policies and infrastructure development.
Co-Authors Amalia, Seila Arnita Arnita Hutapea, Risca Octaviani Ndruru, Albert Servant Putri, Amelia