Open AccessImproving the physical work environment by looking at the effect of work environment factor on SME
Author(s) -
Nismah Panjaitan,
Rosnani Ginting,
Dini Wahyuni
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/505/1/012039
Subject(s) - idle , operator (biology) , work (physics) , sampling (signal processing) , computer science , productivity , engineering , telecommunications , mechanical engineering , operating system , biochemistry , chemistry , macroeconomics , repressor , detector , transcription factor , economics , gene
Each company wants the operator able to work optimally, so that the operator’s productivity is expected to increase. Each operator has different productivity at work. Operators who have high productivity in work generate little idle time. One method that can be used to measure how productive someone is at work is the method of work sampling. The method of work sampling is a measurement procedure performed at randomly certain time which is developed based on probability law where the observations are made using randomly taken samples. Using this method, when the operator does the job and when idle can be observed and measured. The performance of work operator I and operator II was 92.77% and 95.18%. While the idle value of operator I and operator II amounted to 7.23% and 4.82%. The data of work operator accuracy I is 92.7 ± 6.1% and idle accuracy data is 7.3 ± 6.1%. The work operator’s accuracy data is 95.1 ± 4.9% and the idle accuracy data is 4.9 ± 4.9%.