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dc.contributor.authorSoewardi, Hartomo
dc.contributor.authorWibowo, Eko Budi
dc.date.accessioned2014-12-02T07:37:48Z
dc.date.available2014-12-02T07:37:48Z
dc.date.issued2014-12-04
dc.identifier.citation[1] Suma’mur. “Higiene Perusahaan dan Kesehatan Kerja”. Jakarta: PT. Gunung Agung.1984. [2] Rodahl, Kare. “The Physiology of work”. London: Taylor & Francis Ltd. 1989. [3] Hancock, P. A. & Meshkati, N. “Human Mental Workload”. Amsterdam: Elsevier Science Publishing Company, Inc. 1988. [4] O’Donnell, R.D., & Eggemeier, F.T. “Workload Assessment Methodology”. New York: Wiley. 1986. [5] Widyanti, A., et al. 2010. “Pengukuran Beban Kerja Mental Dalam Searching Task Dengan Metode Rating Scale Mental Effort (RSME)”. Semarang: JTI Undip. 2010.,in press [6] Budiman, J., dkk. “Analisis Beban Kerja Mental Operator Air Traffic Control Bandara XYZ Dengan Menggunakan Metode NASA-TLX”. eJurnal Teknik Industri FT USU Vol. 3, No. 3, pp. 15-20. 2013., in press. [7] Astuty, M.S., dkk. “Tingkat Beban Kerja Mental Masinis Berdasarkan NASA-TLX (Task Load Index) di PT. KAI Daop II Bandung”. Jurnal Online Institut Teknologi Nasional Bandung. Reka Integra– ISSN: 2338-5081. 2013., in press. [8] Aldey, C. & Terranova, M. “Measuring Control Room Mental Workload witha Multi-Dimensional Measure”. Pipeline & Gas Journal; ProQuest. 2012., in press. [9] Syafei, M. & Katon, W. 2011. “Analisis Beban Kerja Pegawai Secara Subjektif dengan Menggunakan Metoda NASA-TLX (Studi Kasus pada Bagian Proses Manufaktur di PT. Agronesia Divisi Industri Plastik-Bandung)”. Proceeding 11th National Conference of Indonesian Ergonomics Society 2011. ISSN: 2088-9488. 2011., in press. [10] Wiebe, E.N., et al. “An examination of two mental workload measurement approaches to understanding multimedialearning. Computers in Human Behaviour”, 26, 474-481. 2010. [11] Wickens, C.D. “Multiple resources andperformance prediction. Theoretical Issues in Ergonomic Science”, 3, 159-177. 2002. [12] Cassenti, D.N., Kelley, T.D. “Differences in Performance with Changing Mental Workload as Basis for an IMPRINT Plug-in Proposal”. Ottawa: BRIMS Society. 2013. [13] Angelucci, M., et al. “Mental Overload, Productivity, and DecisionMaking”. Arizona: University of Arizona. 2010. [14] Sugiono, Prof. Dr. “Statistik Nonparametrik Untuk Penelitian”. Bandung: CV ALFABETA. 2004.en_US
dc.identifier.issn2407-4330
dc.identifier.urihttp://hdl.handle.net/11617/4956
dc.description.abstractOne of the causes of traffic accidents involving buses is human error. Human error is often the case one of them as a result of excessive load received by the driver. In addition to physical, mental workload is one of the causes of high workload. The purpose of this study was to analyze the mental workload experienced by the bus driver Yogyakarta-Semarang. The method used is the NASA-TLX. Numbers of respondents were 16 bus drivers. The results found that the average mental workload on the bus driver is 62.4. The indicators most influence is Effort with an average of 18, Physical Demand with an average of 12.67, Mental Demand with an average of 10.67. Other indicators, Temporal Demand with an average of 10:10, Own Performance by an average of 6.08 and the frustation level with an average of 4.88.en_US
dc.publisherUniversitas Muhammadiyah Surakartaen_US
dc.subjectBus driveren_US
dc.subjectMental workloaden_US
dc.subjectNASA-TLXen_US
dc.titleAnalysis of the Mental Workload on a Public Bus Driveren_US
dc.typeArticleen_US


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