The Relationship Between Mental Workload and Sleep Quantity with Work Fatigue among Haul Dump Truck Operators in Coal Mining

Asti Puspita Nurahma, I. Paskarini, Endang Dwiyanti, Sahabat Sutanto
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Abstract

Introduction: In mining production activities, haul dump trucks are utilized for transportation purposes and are driven by an operator. The haul dump truck operator works in a shift work system consisting of 12 working hours. The workers are required to always control the steering speed, causing potential work fatigue. This study aimed to analyze the relationship between mental workload and sleep quantity with work fatigue among haul dump truck operators. Method: This study was a quantitative research study using a cross-sectional design. The population was 179 haul dump trucks operators, while the sample was 123 respondents determined through simple random sampling. The variables of this study were age, years of service, education level, mental workload, sleep quantity, and work fatigue complaints. The data was tested using the Chi-Square test. The instruments used to obtain the data were the National Aeronautics and Space Administration Task Load Index and the Work Fatigue Measurement Tool Questionnaire. Result: The haul dump truck operators (54.5%) had a high mental workload, low sleep quantity (61.8%) with less than 7 hours of sleep, and moderate fatigue complaints (44.7%). There was a significant relationship found between age (P-value = 0.018), years of service (P-value = 0.039), and sleep quantity (P-value = 0.001) with work fatigue complaints. The level of education and mental workload had a significance value above 0.05. Conclusion: Sleep quantity has a significant relationship with work fatigue complaints. This can be responded to by intensifying the information on the socialization of fatigue and the importance of maintaining the quality of sleep.
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煤矿自卸车作业人员心理负荷、睡眠量与工作疲劳的关系
简介:在采矿生产活动中,拖运自卸车用于运输目的,由操作员驾驶。拖运自卸车操作员采用轮班工作制,工作时间为12小时。工人必须始终控制转向速度,这会导致潜在的工作疲劳。本研究旨在分析自卸车作业人员的心理工作量、睡眠量与工作疲劳的关系。方法:本研究采用横断面设计进行定量研究。人口为179名自卸车操作员,而样本为123名通过简单随机抽样确定的受访者。这项研究的变量是年龄、服务年限、教育水平、心理工作量、睡眠量和工作疲劳投诉。数据采用卡方检验。用于获取数据的工具是美国国家航空航天局任务负荷指数和工作疲劳测量工具问卷。结果:自卸车作业人员(54.5%)有较高的脑力劳动量,睡眠不足7小时的睡眠量较低(61.8%),中度疲劳抱怨(44.7%),年龄(P值=0.018)、工龄(P值0.039)、睡眠量(P值0.001)与工作疲劳抱怨有显著关系。受教育程度和脑力劳动量显著高于0.05。结论:睡眠量与工作疲劳症状有显著关系。对此,可以通过强化有关疲劳社会化和保持睡眠质量重要性的信息来应对。
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
40
审稿时长
5 weeks
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