Open AccessFactor Analysis Related to Truck Mixer Driver Work Accident at PT Bosowa Beton Indonesia
Author(s) -
Antonius Trianto,
Maryam Abubakar Yusuf,
Muh Husyain Rifai
Publication year - 2021
Publication title -
international journal of science and healthcare research
Language(s) - English
Resource type - Journals
ISSN - 2455-7587
DOI - 10.52403/ijshr.20210714
Subject(s) - truck , workforce , work (physics) , transport engineering , occupational safety and health , factory (object oriented programming) , engineering , accident analysis , human factors and ergonomics , government (linguistics) , poison control , forensic engineering , automotive engineering , computer science , environmental health , medicine , mechanical engineering , linguistics , philosophy , pathology , economics , programming language , economic growth
Background: Accidents due to work are something that is very difficult for workers to avoid, such as workers, factory employees, truck drivers and other field workers, so that they require more attention from the government, private sector and other employers as well as from the workers themselves. most commonly we often encounter on the road which causes many casualties. This study aims to determine the factors that cause work accidents on mixer truck drivers at PT Bosowa Beton.Methods: This research uses quantitative methods with an analytical approach and a cross sectional study design, with a sample of 60 drivers.Research Result: The variables related to the work accident of the mixer truck driver at PT Bosowa Beton are road conditions (p = 0.000 < = 0.05) and the work fatigue variable (p = 0.009 < = 0.05), as well as the variable working time with value (p = 0.04 < = 0.05) while for variables that are not related to work accidents are vehicle conditions (p = 0.355), ergonomics (p = 0.474) and smoking (p = 1,000).Conclusion: The most dominant cause of work accidents is work fatigue, it is recommended for companies to conduct periodic testing and evaluation of workforce performance to improve work quality and detect early indications of fatigue.Keywords: Work accident and mixer truck driver.