PEMODELAN FAKTOR - FAKTOR PENYEBAB KEPARAHAN KORBAN KECELAKAAN LALU LINTAS DI KOTA AMBON DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK MULTINOMIAL
Abstract
Traffic accidents are one of the main causes of the highest increase in mortality in Indonesia. This problem needs attention to anticipate the fall of the death toll in a traffic accident. So in this study, there are response variables and several predictor variables. The purpose of this study was to find out what factors influence the severity of traffic accident victims in Ambon city based on categories and model the severity of traffic accident victims in Ambon city based on significant factors using the Multinomial Logistic Regression method. In this study, the results obtained are factors that significantly affect the severity of the traffic accident victims are sex variables (X1), age (X1), education (X3) and type of vehicle (X5).
Downloads
Copyright (c) 2019 VARIANCE : Journal of Statistics and Its Applications

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Editorial Team
Peer Review Process
Focus & Scope
Open Acces Policy
Privacy Statement
Author Guidelines
Publication Ethics
Publication Fees
Copyrigth Notice
Plagiarism Screening
Digital Archiving




