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Kecelakaan kendaraan bermotor semakin meningkat sejalan dengan bertambahnya jumlah kendaraan di Indonesia. Kerugian yang ditimbulkannya luar biasa besar, baik dalam bentuk materi maupun kehilangan produktifitas. Sesungguhnya kecelakaan dapat dicegah asalkan diketahui penyebabnya. Banyak penelitian dan teori mengungkapkan bahwa faktor manusia merupakan faktor penting dalam kejadian kecelakaan. Perilaku pengemudi sangat berpengaruh pada kejadian kecelakaan. Di CGI Indonesia, sejak tahun 2007 laju kecelakaan kendaraan bermotor khususnya light vehicle menunjukkan penurunan yang berarti. Tujuan penelitian ini adalah untuk mengetahui gambaran perilaku aman pengemudi dan faktor-faktor yang mempengaruhi perilaku aman tersebut. Variabel yang diteliti adalah faktor internal manusia yaitu pengetahuan, motivasi dan persepsi, serta faktor eksternal yaitu pelatihan safety driving dan implementasi Behavior Based Safety. Penelitian ini bersifat kuantitatif dengan disain studi cross sectional. Pengumpulan data dilakukan dengan kuesioner dan wawancara. Hasil penelitian mengungkapkan mayoritas pengemudi tergolong baik dalam berperilaku aman. Dari hasil uji bivariat chi square diketahui faktor internal yang mempunyai hubungan bermakna dengan perilaku aman mengemudi adalah motivasi, sementara faktor eksternal yang berhubungan adalah pelatihan safety driving. Melalui uji regresi logistik berganda dapat diketahui bahwa faktor pelatihan safety driving yang paling dominan pengaruhnya terhadap perilaku aman pengemudi light vehicle di CGI, Indonesia tahun 2011. Kata Kunci: Light Vehicle, Safety Driving, Behavior Based Safety
Motor vehicle accidents has increased in line with the increasing number of vehicles in Indonesia. It obviously caused enormous losses, both material and productivity. Indeed accidents can be prevented as long as the cause is recognized. Many researches and theories revealed that the human factor is a critical factor in the accident. Driver behavior is very influential on the occurrence of accidents. Since 2007 in CGI Indonesia company, motor vehicle accidents has showed significant decreasing trend. The objective of this study is to identify the driver safe behaviors and the factors that influence those behaviors. The variables studied are the human internal factors i.e. the knowledge, motivation and perception, as well as external factors that are safety driving training and implementation of Behavior Based Safety. This is a quantitative research with cross sectional study design. Data was collected through questionnaires and interviews. The results revealed that the majority of drivers are classified as good in driving safe behavior. From the results of bivariate chi square test, it is known that the internal factors that significantly related to driving safe behavior is the motivation, while safety driving training is the external factor that related to driving safe behavior. Result of multiple logistic regression test showed that among those factors, safety driving training is the most dominant factor influencing the safe driving behavior of light vehicle drivers in CGI, Indonesia in the year of 2011. Keywords: Light Vehicle, Safety Driving, Behavior Based Safety.
Driving requires high concentration for quick and accurate coordination between eyes, hands, feet and brain; therefore, driving is a job with high risk to experience exhaustion and other health disorders. The aim of this research is to illustrate the effects Musculoskeletal Symptoms (MSS) on drivers, their specific factors, as well as environmental factors towards 41 light vehicles professional drivers in 2020. This research is also a measure of risk levels of posture with REBA method on light vehicle drivers of toyota hiace at PT ACD Indonesia. The research method used is descriptive, qualitative, and observational with quantitative approach which applied to team SMO transportation at PT ACD Indonesia, especially in district of Duri. With this method, the researcher wants to get images of muscles and bones complaints also to figure ergonomic risk level using REBA method. Employee data is analyzed based on age, driving experiences, IMT, workout habit, smoking habits, driving duration, period of employment, work posture, physical and non- physical factors. The results of this research is drivers within the age group of 24-34 years old and period of employment less than 10 years never experience injuries and musculoskeletal complaints. Work pattern 5:2 with driving durations of 3 hours or more work responsibilities show 100% respondents experience musculoskeletal complaints on some of their body parts such as necks, backs, and calves. Drivers who of heights of 161 to 170 cm experience some complaints on their necks. Meanwhile those who work out a minimum three times a week for a minimum of 30 minutes per day dominantly experience musculoskeletal complaints on necks, the bottom of their backs, buttocks/thighs and calves. Based on this study, it is concluded that driving demands with high concentration can cause muscles constraints on their body parts, this can be seen on 90.2% respondents who experience musculoskeletal complaints on their body parts, meanwhile 9.8% do not experience any complaints, with 51.2% experience complaints on necks, 51.2% on the bottom of the backs, 56.1% on buttocks/thighs and 61.0% on calves. whereas, the biggest ergonomic risk level using REBA method while driving is when one has to turn steering wheel and also the dominant posture.
Fatigue is one of the causes of the high accident rate. One type of work that has a high potential to experience fatigue is a coal mine operator. This study aims to explain the different types of vehicles on the level of fatigue in coal mine operators. The variables analyzed were fatigue, vehicle type, age, sleep quantity, work shift, and work period. This research was conducted using a systematic literature review method by conducting a full text review of 10 literatures. The results of this study note the mine operator fatigue level score of 45-56 or 28% - 59.3%. Hauling dump truck operators tend to experience severe fatigue compared to dump truck operators of loading and dumping areas, as well as other operators. In addition, the overall variables, namely the type of vehicle, sleep quantity, and work shift have a significant relationship to the level of fatigue. The conclusion from this study is the type of vehicle used by the operator has an influence on the level of fatigue in the coal mine operator.