Short-term Memory Optimization through Physical Work Environment Determination
Abstract
One element that affects a worker's performance is their work environment such as noise, lighting, and temperature, particularly when it comes to memorizing tasks that require short-term memory. Therefore, it is needed to design the optimum work environment to optimize the work of short-term memory that may lead the increase of employee’s performance. The approach using Taguchi experimental design using L4 for each interior and outer array. Then, three control variables with two degrees of each are utilized to produce the optimum possible combination of working environment settings for short-term memory optimization. Two responses were measured to determine the effect of control and noise variables on short-term memory performance which are the correct answer and processing time on the testing using Design-tools application. According to the findings, the effects of noise, lighting, and temperature on short-term memory performance were 63.02%, 0.99%, and 26.63%, respectively for number of correct answer response. In addition, short-term memory has noise, lighting, and temperature of 51.9%, 14.54%, and 1.81%, respectively, for process time response. Furthermore, the VIKOR technique is utilized to achieve optimal work ambient conditions such as low noise of approximately 42dB, high illumination of 300-700 lux, and low temperature of 210-250 Celsius, which may contribute to optimal short-term memory function.
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References
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Dev, N. K., Shankar, R., and Qaiser, F.H. 2020. Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, Vol. 153(January), 104583. https://doi.org/10.1016/j.resconrec.2019.104583
Fathurochman, T.R., and Sarvia, E. 2021. Evaluasi Kondisi Lingkungan Fisik Kerja Dan Heat Stress dengan WBGT Index Pada Stasiun Casting. Jurnal Ergonomi Indonesia, Vol. 07(01):17–27. https://ojs.unud.ac.id/index.php/jei/article/download/61773/40945
Fay, M.P., and Proschan, M.A. 2010. Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statistics Surveys, Vol. 4(0):1-39. https://doi.org/10.1214/09-SS051.
Franek, L., and Jiang, X. 2013. Orthogonal design of experiments for parameter learning in image segmentation. Signal Processing, Vol. 93(6):1694–1704. https://doi.org/10.1016/j.sigpro.2012.08.016
Golmohammadi, R., Darvishi, E., Faradmal, J., Poorolajal, J., and Aliabadi, M. 2020. Attention and short-term memory during occupational noise exposure considering task difficulty. Applied Acoustics, Vol. 158, 107065. https://doi.org/10.1016/j.apacoust.2019.107065
Gong, C., Chen, L., and Liu, X. 2023. Convolutional networks with short-term memory effects. Microprocessors and Microsystems, Vol. 98, 104779. https://doi.org/10.1016/j.micpro.2023.104779
Haniff, M.H.M., Ismail, A.R., Deros, B.M., Rahman, M.N.A., and Kardigama, K. 2011. The Taguchi Approach in Optimizing the Environmental Factors Towards Productivity at Automotive Industry. International Journal of Automotive and Mechanical Engineering, Vol. 3(June):306–317. https://doi.org/10.15282/ijame.3.2011.7.0026
Leccese, F., Salvadori, G., Montagnani, C., Ciconi, A., and Rocca, M. 2017. Lighting assessment of ergonomic workstation for radio diagnostic reporting. International Journal of Industrial Ergonomics, Vol. 57:42–54. https://doi.org/10.1016/j.ergon.2016.11.005
Lee, P.J., Lee, B.K., Jeon, J.Y., Zhang, M., and Kang, J. 2016. Impact of noise on self-rated job satisfaction and health in open-plan offices: a structural equation modelling approach. Ergonomics, Vol. 59(2):222–234. https://doi.org/10.1080/00140139.2015.1066877
Lomax, R.G. 2007. Statistical concepts: A second course. In Statistical concepts: A second course.
Marzano, A., McKeefry, R.P., and Falzon, B.G. 2017. A Highly Efficient Ergonomic Approach for the Bonded Repair of Composite Aerostructures Utilising a Virtual Environment. Procedia CIRP, Vol. 62:21–26. https://doi.org/10.1016/j.procir.2016.07.083
Mokarami, H., Eskandari, S., Cousins, R., Salesi, M., Kazemi, R., Razeghi, M., and Choobineh, A. 2021. Development and validation of a Nurse Station Ergonomics Assessment (NSEA) tool. BMC Nursing, Vol. 20(1):83. https://doi.org/10.1186/s12912-021-00600-8
Newman, R.S., and Simpson, V.M. 2023). Infants’ short-term memory for consonant–vowel syllables. Journal of Experimental Child Psychology, Vol. 226:1–8. https://doi.org/10.1016/j.jecp.2022.105567
Nilamsari, P., Tjahjoanggoro, A,J., and Tondok, Marselius, S. 2021. Peran indoor environment quality terhadap psychological well-being penghuni rusun Penjaringan Sari III Surabaya. Jurnal Ergonomi Indonesia, Vol. 7(2):115–128. https://doi.org/https://doi.org/10.24843/JEI.2021.v07.i01.p03
Noroozi, A., Khakzad, N., Khan, F., Mackinnon, S., and Abbassi, R. 2013. The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities. Reliability Engineering and System Safety, Vol. 119:251–258. https://doi.org/10.1016/j.ress.2013.06.038
Pfleging, B., Fekety, D.K., Schmidt, A., and Kun, A.L. 2016. A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI, Vol. 16, 5776–5788. https://doi.org/10.1145/2858036.2858117
Putra, P.S., Gumilar, R., Rahma Kusuma, S., Purnomo, H., and Basumerda, C. 2018. The effect of Quran murottal’s audio on short term memory. MATEC Web of Conferences, Vol. 154:2-5. https://doi.org/10.1051/matecconf/201815401060
Putra, P.S., Sari, A.D., and Husna, A.S. 2018. Job safety and awareness analysis of safety implementation among electrical workers in airport service company. MATEC Web of Conferences, Vol. 154. https://doi.org/10.1051/matecconf/201815401087
Rahmillah, F.I. 2016. Optimization of Physical Working Environment Setting to Improve Productivity and Minimize Error by Taguchi and VIKOR Methods. IOP Conference Series: Materials Science and Engineering, Vol. 105(1). https://doi.org/10.1088/1757-899X/105/1/012025
Shahrajabian, F., Hasani, J., Griffiths, M.D., Aruguete, M., and Javad, S. 2023. Effects of emotional working memory training on problematic internet use , inhibition , attention , and working memory among young problematic internet users : A randomized control study. Addictive Behaviors, Vol. 141(July), 107659. https://doi.org/10.1016/j.addbeh.2023.107659
Sheskin, D.J. 2004. Handbook of Parametric and Non-Parametric Statistical Procedures (3rd ed.). Chapman and Hall/CRC.
Siegel, S., and Castellan, J.N.J. 1988. Non-parametric statistics for the behavioural sciences. In McGraw-Hill Int. pp. 213–214.
Walpole, R.E., Myers, R.H., Myers, S.L., and Ye, K. 2007. Probability and Statistics for Engineers Scientists. In Pearsons Education International.
Xu, Y. 2002. Limitations of object-based feature encoding in visual short-term memory. Journal of Experimental Psychology. Human Perception and Performance, Vol. 28(2):458–468. https://doi.org/10.1167/1.3.125
Yang, Y., Hu, L., Zhang, R., Zhu, X., and Wang, M. 2021. Investigation of students’ short-term memory performance and thermal sensation with heart rate variability under different environments in summer. Building and Environment, Vol. 195, 107765. https://doi.org/10.1016/j.buildenv.2021.107765
Published
2023-12-31
How to Cite
PUTRA, Perdana Suteja; NABILA, Meidina; RIZKA PUTRI, Aurelia.
Short-term Memory Optimization through Physical Work Environment Determination.
Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic), [S.l.], v. 9, n. 2, p. 72-85, dec. 2023.
ISSN 2503-1716.
Available at: <https://ojs.unud.ac.id/index.php/jei/article/view/99925>. Date accessed: 21 nov. 2024.
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