Job Stress Analysis for Lathe Machine Operator Based on Human Physiological Feedbacks

Rio Prasetyo Lukodono(1*), Remba Yanuar Efranto(2), Raditya Ardianwiliandri(3), Olivia Latifani(4), Miftakhul Choiriyah(5),

(1) Universitas Brawijaya
(2) Universitas Brawijaya
(3) Universitas Brawijaya
(4) Universitas Brawijaya
(5) Universitas Brawijaya
(*) Corresponding Author


Job stress is a circumstance that every employee could faces in performing their job. They tend to deal with it differently according to their own way. It is basically a mismatch between the individual capabilities and organizational demand. The existing employees must exert their ability to complete their tasks in order to fulfilling the organization’s demand. One of the major sources of job stress is excessive workload. Every workload received by employee must fit and balanced with the physical and mental abilities of the employee so that there will be less fatigue and stress that could affect the employee’s performance. This study aims to evaluate the workload for the human physiological feedback. The physiological feedback was evaluated based on the activity while operator using lathe machine. The physiological feedback is based on integumentary activities and cardiovascular activities. The results of this research showed that the operators of the lathe machine operator physiological feedbacks has significant correlation with the Galvanic skin response (GSR). All of indicators such as Heart rate (HR), systole, diastole, and body temperature has positive correlation with the GSR values. Moreover, for noise indicators also has positive correlation with the GSR. This mean that the enviromental condition which represented by noise evaluation has significant correlation with the stress.


job stress; physiological feedbacks; workload; Galvanic skin responses

Full Text:



Bergheim, K., Nielsen, M. B., Mearns, K., & Eid, J. (2015). The relationship between psychological capital, job satisfaction, and safety perceptions in the maritime industry. Safety Science, 74, 27–36.

Braithwaite, J. J. J., Derrick, D., Watson, G., Jones, R., Rowe, M., Watson, D., Robert, J., & Mickey, R. (2013). A Guide for Analysing Electrodermal Activity (EDA) & Skin Conductance Responses (SCRs) for Psychological Experiments. …, 1–42.

Chen, M.-J., & Cunradi, C. (2008). Job stress, burnout and substance use among urban transit operators: The potential mediating role of coping behaviour. Work & Stress, 22(4), 327–340.

Ding, X., Yue, X., Zheng, R., Bi, C., Li, D., & Yao, G. (2019). Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data. Journal of Affective Disorders, 251(March), 156–161.

Edwards, S. (2006). Physical Exercise and Psychological Well-Being. South African Journal of Psychology, 36(2), 357–373.

Feng, Y., Zhang, S., & Wu, P. (2015). Factors influencing workplace accident costs of building projects. Safety Science, 72, 97–104.

Gasperin, D., Netuveli, G., Dias-da-Costa, J. S., & Pattussi, M. P. (2009). Effect of psychological stress on blood pressure increase: a meta-analysis of cohort studies. Cadernos de Saude Publica, 25(4), 715–726.

Hidayati, L. N., & Harsono, D. M. (2021). TINJAUAN LITERATUR MENGENAI STRES DALAM ORGANISASI. In Jurnal Ilmu Manajemen (Vol. 18).

Hu, B., Liu, X., Yin, S., Fan, H., Feng, F., & Yuan, J. (2015). Effects of psychological stress on hypertension in middle-aged Chinese: a cross-sectional study. PloS One, 10(6), e0129163.

Khoshemehry, S., Khanmohammadi, A., & Bahram, M. E. (2014). The effect of stress on blood pressure and heart rate of High School girls. Int. Journ. of Sport Studies, 4(4), 448–451.

Lin, C. J., & Lukodono, R. P. (2022). Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback. Journal of Manufacturing Systems, 65(43), 673–685.

Liu, J. Y., & Low, S. P. (2011). Work–family conflicts experienced by project managers in the Chinese construction industry. International Journal of Project Management, 29(2), 117–128.

Manuaba, A. (2000). Hubungan Beban Kerja dan Kapasitas Kerja. Rineka Cipta.

Mudhoffar, M. N., Wahyuning, C. S., & Nugraha, C. (2014). Perancangan Alat Ukur Stres Melalui Galvanic Skin Response Menggunakan Sistem Minimum Microcontroller. REKA INTEGRA, 2(3).

Nurmianto, E. (2003). Ergonomi Konsep Dasar dan Aplikasinya Edisi Pertama. Guna Widya, Surabaya.

Paritala, S. A. (2009). Effects of physical and mental tasks on heart rate variability.

Reynolds, G. (2010). Your Brain on Computers - Series - The New York Times.

Roig, M., Skriver, K., Lundbye-Jensen, J., Kiens, B., & Nielsen, J. B. (2012). A single bout of exercise improves motor memory.

Tarwaka, S., & Sudiajeng, L. (2004). Ergonomi untuk keselamatan, kesehatan kerja dan produktivitas. Uniba, Surakarta, 34–50.

Thomas, J. A. (2012). Effect of physical activity on the cognitive performance of middle aged New Zealand workers. Auckland University of Technology.

Toivanen, S., & Hemström, O. (2008). Is the impact of job control on stroke independent from socioeconomic status? A large-scale study of the Swedish working population. Stroke, 39(4), 1321–1323.

Trudeau, F., & Shephard, R. J. (2010). Relationships of physical activity to brain health and the academic performance of schoolchildren. American Journal of Lifestyle Medicine, 4(2), 138–150.

Wege, N., Dragano, N., Erbel, R., Jockel, K.-H., Moebus, S., Stang, A., & Siegrist, J. (2008). When does work stress hurt? Testing the interaction with socioeconomic position in the Heinz Nixdorf Recall Study. Journal of Epidemiology & Community Health, 62(4), 338–341.

Article Metrics

Abstract view(s): 430 time(s)
PDF: 184 time(s)


  • There are currently no refbacks.