运用适任模式，评估大型巴士司机在身体、精神及工作方面的准备情况

Malaysian Journal of Public Health Medicine Pub Date : 2023-04-25 DOI:10.37268/mjphm/vol.23/no.1/art.1855

B. Suhardi, Ferina Ruby Alfiyanti, Irwan Iftadi, Iksan Adiasa

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引用次数: 0

摘要

胜任工作的能力(FFD)是指与每个成员的身心健康和个人工作准备情况有关的个人执行任务的能力。基于身体、心理和工作三个方面的公交司机工作准备模型的开发是非常重要的，以使公交司机处于合适的状态或准备工作。本研究旨在利用视觉模拟量表(VAS)、卡罗林斯卡嗜睡量表(KSS)和情景意识定量分析量表(QUASA)等测量工具，建立阿格拉市公交车司机的职适性模型。30名在沃诺吉里-肯德尔-卡拉旺路线上的阿格拉巴士司机参与研究，自变量为年龄、体重、身高、睡眠持续时间、睡眠质量、吸烟量、咖啡因摄入量、眼睛健康、轮班工作、注意力水平、疲劳程度、嗜睡，因变量为体检筛查的FFD结果。本研究结果表明，对驾驶员工作准备水平的研究和评价是比较好的。也就是说，可以宣布100%的驱动程序可以从已经制作的模型中看到。共有96.7%的驾驶员被正确预测，这意味着模型对其观测进行分类的预测能力或准确性为96.7%。模型对观测值的预测能力较高，为75.8%。模型调整后的R2值为66.67%。VAS和KSS可以用来评价驾驶员的工作准备状态，而QUASA则不能。疲劳和困倦影响司机的工作准备，而注意力不会。疲劳会影响司机的困倦程度。司机越累，感觉困倦的程度就越高。换班对注意力、疲劳和困倦没有显著影响。轮班会影响司机的睡眠时间和质量。本研究的预期结果可为预测巴士司机的职适性提供参考，以降低道路交通事故的风险。

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EVALUATION OF READINESS OF AGRA MAS BUS DRIVERS BASED ON PHYSICAL, MENTAL,AND WORK ASPECTS USING THE FITNESS FOR DUTY MODEL

Fitness for duty (FFD) is an individual's ability to perform tasks in relation to the physical and mental health of each member and individual readiness to work.The development of a bus driver's work readiness model based on physical, mental, and work aspects is very important so that bus drivers are in a fit condition or ready to work. This study aims to develop a model of Agra Mas Bus driver's fitness for duty using measuring instruments in the form of the Visual Analogue Scale (VAS), Karolinska Sleepiness Scale (KSS) and Quantitative Analysis of Situational Awareness (QUASA). Thirty Agra Mas Bus drivers on the Wonogiri – Kendal – Karawang route participated in the study with independent variables such as age, weight, height, sleep duration, sleep quality, cigarette consumption, caffeine consumption, eye health, shift work, attention level, fatigue, and sleepiness, as well as the dependent variable in the form of FFD results of physical test screening. The results of this study indicate that the study and evaluation of the driver's job readiness level are quite good. That is, 100% of the drivers can be declared ready to be seen from the model that has been made. A total of 96.7% of drivers were correctly predicted, meaning that the predictive power or the accuracy of the model in classifying its observations was 96.7%. The ability of the model to predict the observation value is high, which is 75.8%. The adjusted R2 value of the model is 66.67%. VAS and KSS can be used to evaluate the work readiness of drivers, while QUASA cannot be used. Fatigue and sleepiness affect the driver's work readiness, while attention does not. Fatigue affects the driver's level of sleepiness. The more tired a driver is, the higher the level of sleepiness felt. A shift has no significant effect on attention, fatigue, and sleepiness. Shifts can affect the duration and quality of a driver's sleep. The expected results of this study can be a reference for predicting the fitness for duty of bus drivers so that the risk of road accidents is reduced.

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来源期刊

Malaysian Journal of Public Health Medicine Medicine-Public Health, Environmental and Occupational Health

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： Malaysian Journal of Public Health Medicine (MJPHM) is the official Journal of Malaysian Public Health Physicians’ Association. This is an Open-Access and peer-reviewed Journal founded in 2001 with the main objective of providing a platform for publication of scientific articles in the areas of public health medicine. . The Journal is published in two volumes per year. Contributors are welcome to send their articles in all sub-discipline of public health including epidemiology, biostatistics, nutrition, family health, infectious diseases, health services research, gerontology, child health, adolescent health, behavioral medicine, rural health, chronic diseases, health promotion, public health policy and management, health economics, occupational health and environmental health.