J. Hutabarat, Johan Alfian Pradana, Fuad Achmadi, Diah Wilis Lestarining Basuki
{"title":"MICRO ERGONOMICS: THE INFLUENCE OF HUMAN CHARACTERISTICS TOWARDS MENTAL WORKLOAD AMONG ONLINE MOTORCYCLE OJEK DRIVERS","authors":"J. Hutabarat, Johan Alfian Pradana, Fuad Achmadi, Diah Wilis Lestarining Basuki","doi":"10.54684/ijmem.2023.3.1.6","DOIUrl":null,"url":null,"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.","PeriodicalId":430778,"journal":{"name":"International Journal of Manufacturing Economics and Management","volume":"543 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Manufacturing Economics and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54684/ijmem.2023.3.1.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.