MICRO ERGONOMICS: THE INFLUENCE OF HUMAN CHARACTERISTICS TOWARDS MENTAL WORKLOAD AMONG ONLINE MOTORCYCLE OJEK DRIVERS

J. Hutabarat, Johan Alfian Pradana, Fuad Achmadi, Diah Wilis Lestarining Basuki
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Abstract

The purpose of this study is to investigate how significant influence of online motorcycle ojek drivers’ characteristics towards mental workload based on three categories: under load, optimal and overload. Moreover, this study also analyzed using two perspectives: burdened and unburdened perspectives with NASA TLX as a measurement method. The research methodology used integrated fields research – non-parametric comparative. Determination of the sample used the Lemeshow method with a total of 70 samples. The test technique used Chi Square and intervention development. The findings of three categories achieved that there was a significant influence of Body Mass Index (BMI) on online motorcycle ojek drivers’ Mental with a score 0.070<0.1. Furthermore, there was a substantial effect of gender to online motorcycle ojek drivers’ frustration with score 0.062<0.1. However, the analysis using two categories with burdened and unburdened using NASA TLX demonstrated that there was no effect of drivers’ mental, physical, temporal, performance, frustration and effort towards mental workload.
微观人体工程学:人类特征对网络摩托车司机心理负荷的影响
本研究旨在探讨网络摩托车司机心理负荷特征在负荷不足、最优和过载三个类别下对心理负荷的显著影响。此外,本研究还以NASA TLX为测量方法,采用有负担和无负担两个视角进行分析。研究方法采用综合领域研究-非参数比较法。样品的测定采用Lemeshow法,共70个样品。测试技术采用x平方分布和干预发展。三个类别的研究结果表明,身体质量指数(BMI)对网络摩托车司机的心理有显著影响,得分为0.070<0.1。此外,性别对网络摩托车司机的挫败感有显著影响,得分为0.062<0.1。然而,使用NASA TLX进行有负荷和无负荷两类分析表明,司机的心理、身体、时间、表现、挫败感和努力对精神负荷没有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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