The Mental Workload Analysis of Staff in Study Program of Private Educational Organization
Author(s) -
Atyanti Dyah Prabaswari,
Chancard Basumerda,
Bagus Wahyu Utomo
Publication year - 2019
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/528/1/012018
Subject(s) - workload , task (project management) , statistic , test (biology) , productivity , applied psychology , usable , psychology , operations management , computer science , engineering , statistics , mathematics , multimedia , biology , operating system , paleontology , macroeconomics , systems engineering , economics
The mental workload affects productivity workers to accomplish the task. Staff has many tasks that not only main task but additional task. The additional task is from superior in the same place or the other place. The SOP for duties and distribution of task is not clear so the fatigue can affect to productivity. The method to measure mental workload is NASA-TLX. NASA TLX has six indicators: mental demand, physical demand, temporal demand, performance, frustration, and effort. The analysis not only based on result of NASA TLX but also using statistic test. The result is performance indicator is high that described the staff not satisfied with their job has done. The staff not satisfy but the effort has been taken out is very high. The result of Mann Whitney is not different with two group of the period long term of working which divided in 7 years. The result of correlation test is if the staff make more effort, the satisfaction for their tasks has been done is bigger. The regression test produces an equation but cannot be used to calculation or prediction the staff mental workload. Because regression coefficient is not significant (not usable). The solution is staff must divide the task. Dissatisfaction can reduce motivation and the members cannot perform well.
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