Pengujian Skala Pengukuran Kelelahan (Spk) pada Responden di Indonesia

Authors

  • Rida Zuraida Bina Nusantara University
  • Ho Hwi Chie Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v5i2.2357

Keywords:

fatigue, fatigue assessment, subjektif assessment, FAS

Abstract

Subjective fatigue measurement instruments, based questionnaire, is a measure that is widely used for reasons of practicality and measurement results can be obtained quickly. For the purposes of measuring fatigue, there are a number of questionnaires commonly used abroad, but not a lot of literature with a case study in Indonesia that utilize this instrument. Of course, the reason for the use of the instrument is based on the expectation that the instrument has high validity and reliability, and if possible to have a high level of practicality as well. Asssment Fatigue Scale (FAS) is one of the suggested use as a measurement of worker fatigue. The instrument consists of a 10 item questionnaire with good reliability level. The discussion in this paper covers Measurement Scale Fatigue testing results via questionnaires measuring fatigue, adapted from the FAS in English and translated into Indonesian. DSS consists of 10 questions using 5 Likert scale, for the answer options are: never (1), sometimes (2), perceived a regular basis (3), is common (4), is always experienced (5). Relaibilitas test results using Cronbach alpha values obtained value of 0812, and can be improved if the item is question number 3 is removed. By implication, this questionnaire is good enough to use as a measuring instrument fatigue, but the level of proficiency in Indonesian language, in this CMS, needs to be repaired, especially for question number 5 and 3 if the level of validity and reliability to be improved, although the increase may not be too significant.

References

Dawson, D., Searle, A. K., Paterson, J. L. (2013). Look before you (s)leep: Evaluating the use of fatigue detection technologies wihtin a fatigue risk management system for the road transport industry. Sleep Medicine Review. 1(12).

Hirshkowitz, M. (2013). Fatigue, Sleepiness, and Safety: Definitions, Assessment, Methodology. Sleep Medicine Clinics, 8(2): 183-189.

Kar, S., Bhagat, M., Routray, A. (2010). EEG signal analysis for the assessment and quantification of driver fatigue. Transportation research Part F . 13: 297-306

Kusumartha, Setyawati, L. (1994). Kelelahan Kerja Kronis, Kajian terhadap Perasaan Kelelahan Kerja, Penyusunan Alat Ukur serta hubungannya dengan Waktu reaksi dan Produktivitas Kerja. Disertasi.

Michielseon, H. J., de Vreis, J., van Heck, G. L. (2003). Psychomotor qualities of a brief self-rated fatigue measure ; The Fatigue Assessment Scale. Journal of Psychomotor Research. 54: 345-352

Millar, M. (2012). Measuring Fatigue. Asia Pasific FRMS Seminar. Bangkok: ICAO/ IATA/ IFALPA.

Mounstephen, A., Sharpe, M. (1997). Chronic Fatigue syndrome and occupational health. Occupationa Med. 47: 217-227.

Saito, K. (1999). Measurement of Fatigue in Industries. Industrial Health. 37: 13-42.

Williamson, A., Lombardi, D., Folkard, S., Stutts , J., Courtney, T., Connor, J. (2011). The link between fatigue and safety. Accident Analysis and Prevention. 43: 498-515.

de Vreis, Jolanda, Michielsen, H. J., van Heck, G. L. (2003). Assessment of fatigue among working people: a comparison of six questionnaires. Occupational Environment Med. 60: i10-i15.

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Published

2014-12-01

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