International Journal of Technology and Education Research
Vol. 2 No. 02 (2024): June, International Journal of Technology and Education Research(IJETER)

Multinomial Logistic Regression Model to Analysis Traffic Accident on Indonesia’s Regional Data

Agustini Tripena Br Surbakti (Universitas Jenderal Soedirman)
Yhenis Apriliana (Universitas Jenderal Soedirman)
Agus Sugandha (Universitas Jenderal Soedirman)
Agung Prabowo (Universitas Jenderal Soedirman)
Sukono Sukono (Universitas Padjadjaran)

Article Info

Publish Date
16 Jun 2024

Abstract

Traffic accident is one of the highest causes of death in Indonesia following coronary disease and tuberculosis. Traffic accident is classified into three: mild, moderate and severe. The aim of this research was to determine the significant factors causing traffic accidents in Cilacap Regency using multinomial logistic regression. The data used were secondary data from the Resort Police of Cilacap Regency. The research’s response variable was accident classification deemed as a nominal scale, while the predictor variables were day of occurrence, time of occurrence, accident type, accident location, situation, weather problem, number of vehicles involved, and number of victims of nominal, ordinal and ratio scales. The research results show that the accident type, accident location, situation, and number of victim variables significantly influence the three accident classifications.

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Journal Info
International Journal of Technology and Education Research
Website

Abbrev

IJETER

Publisher

CV. Cita Utilitas Utama

Subject

Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

Description

International Journal of Technology and Education Research( IJETER) is  a peer-reviewed journal which welcomes submissions involving a critical discussion of policy and practice, as well as contributions to conceptual and theoretical developments in the field. It includes articles based on ...