Work fatigue is a decrease in or inability for a person to carry out work activities. Fatigue can occur due to factors in an unsupportive work environment. Workers in the cutting section at Small and medium-sized enterprises (SMEs) Gunungkidul Yogyakarta, Indonesia, carry out the production process in the form of cutting natural stone every day, which is at risk of being exposed to noise and rather high temperatures. Based on the results of the initial measurements, it was found that the level of noise intensity and temperature in the production area exceeded the allowable threshold value. This study aims to determine the relationship between the physical work environment, including noise and temperature, and worker fatigue and then analyze how much influence these factors have and which factors have the most dominant influence on worker fatigue. This study used multiple linear regression methods with randomly selected samples from several SMEs in Gunung Kidul, Yogyakarta. The results showed that the noise factor with a t test value of (4,086 > 2,093) indicated that noise had a positive and significant effect on work fatigue, while the temperature factor, based on the results of the T test, had a calculated T value of (1,787 < 2,093), which means that the temperature has no significant effect on work fatigue. With a coefficient of determination of 0.508 or an effect of 50.8% on worker fatigue.
Published in | American Journal of Science, Engineering and Technology (Volume 8, Issue 3) |
DOI | 10.11648/j.ajset.20230803.13 |
Page(s) | 141-145 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Noise, Temperature, Fatigue, SMEs
[1] | Ministry of Manpower of the Republic of Indonesia, “Minister of Manpower Regulation No. 5 of 2018 concerning Occupational Safety and Health in the Work Environment,” 2018. |
[2] | P. Suma’mur, Company Hygiene and Occupational Health (HIPERKES). Jakarta: Agung Seto, 2013. |
[3] | K. H. E. Kroemer and E. Grandjean, Fitting The Task To The Human, Fifth Editione A Textbook Of Occupational Ergonomics. London: CRC Press, 2009. |
[4] | J. D. Périard, T. M. H. Eijsvogels, and H. A. M. Daanen, “Exercise under heat stress: thermoregulation, hydration, performance implications, and mitigation strategies,” Physiol. Rev., vol. 101, no. 4, pp. 1873–1979, Apr. 2021. |
[5] | S. Racinais et al., “Consensus recommendations on training and competing in the heat,” Br. J. Sports Med., vol. 49, no. 18, pp. 1164 LP – 1173, Sep. 2015. |
[6] | A. Manuaba, “Accelerating OHS-Ergonomics Program By Integrating ’Built-In” Within The Industry’s Economic Development Scheme Is A Must-With Special Attention To Small And Medium Enteprises (SMEs),” in Proceedings the 21st Annual Conference of The Asia Pasific Occupational Safety & Health Organization, 2005. |
[7] | Decree of the Minister of Manpower and Transmigration, Threshold Value of Work Environment Physical Factors. 2011, p. Nomor: Kep.13/Men/X/2011. Jakarta. 2011. |
[8] | G. K. Uyanık and N. Güler, “A Study on Multiple Linear Regression Analysis,” Procedia - Soc. Behav. Sci., vol. 106, pp. 234–240, 2013. |
[9] | E. C. Alexopoulos, “Introduction to multivariate regression analysis.,” Hippokratia, vol. 14, no. Suppl 1, pp. 23–28, Dec. 2010. |
[10] | H. Huang et al., “Multivariate linear regression analysis to identify general factors for quantitative predictions of implant stability quotient values,” PLoS One, vol. 12, no. 10, p. e0187010, Oct. 2017. |
[11] | T. W. Klaus Backhaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, “Multivariate Analysis,” 1st ed., London: Springer Gabler Wiesbaden, 2021. |
[12] | M. Edem, E. Akpan, and N. Pepple, “Impact of Workplace Environment on Health Workers,” Occup. Med. Heal. Aff., vol. 05, no. 02, 2017. |
[13] | BSN, Threshold value for working condition under heat, noise, vibration hand-arm, and ultraviolet sun light exposure, SNI 16-7063-2004. Jakarta: Badan Standarisasi Nasional, 2004. |
[14] | E. W. Utomo, S. R. Rahayu, and Y. Wijayanti, “Noise Analysis, Lighting, Work Climate, Mechanical Vibration, Work Tenure and Nutritional Status Towards Fatigue,” Public Heal. Perspect. J., vol. 5, no. 2, pp. 128–136, 2020. |
[15] | A. N. Pratiwi, “The Correlation between Physical Environmental Factors and Fatigue of The Workers at Ship Repair Workshop Hubungan Faktor Lingkungan Fisik dengan Kelelahan pada Pekerja Workshop Reparasi Kapal,” Indones. J. Occup. Saf. Heal., vol. 8, no. 3, pp. 274–282, 2019. |
[16] | A. M. Abbasi, E. Darvishi, M. A. Rodrigues, and K. Sayehmiri, “Gender differences in cognitive performance and psychophysiological responses during noise exposure and different workloads,” Appl. Acoust., vol. 189, p. 108602, 2022. |
[17] | NIOSH, “Hierarchy of Controls,” CDC - Centers for Desease Control and Prevention, 2022. [Online]. Available: https://www.cdc.gov/niosh/learning/safetyculturehc/module-3/2.html. [Accessed: 19-Jun-2023]. |
[18] | R. S. Bridger, Introduction to Ergonomics, 3rd Edition. London: Taylor & Francis, 2008. |
[19] | A. Manuaba, “Total approach is a must for small and medium enterprises to attain sustainable working conditions and environment, with special reference to Bali, Indonesia,” Ind. Health, vol. 44, no. 1, pp. 22–26, 2006. |
[20] | M. Yusuf, “Design of Jewel Stone Sharpener to Increase Jewel Worker Work Productivity in Bali,” in International Conference on Engineering, Technology, and Industrial Application (ICETIA), 2014, pp. 353–357. |
[21] | T. Budiyanto and M. Yusuf, “Improvement of Wok Molding Station Increases Work Comfort and Productivity of the Workers,” Int. J. Psychosoc. Rehabil., vol. 24, no. 4, pp. 8883–8892, 2020. |
[22] | I. K. G. J. Suarbawa, M. Arsawan, M. Yusuf, and I. M. Anom Santiana, “Improvement of environment and work posture through ergonomic approach to increase productivity of balinese kepeng coin workers in Kamasan village Klungkung Bali,” in Journal of Physics: Conference Series, 2018. |
APA Style
Tri Budiyanto, M. Yusuf, Bintang Panjiwani Kusuma As’ari. (2023). The Relationship Between Noise and Temperature to the Level of Work Fatigue in Workers in the Cutting Section. American Journal of Science, Engineering and Technology, 8(3), 141-145. https://doi.org/10.11648/j.ajset.20230803.13
ACS Style
Tri Budiyanto; M. Yusuf; Bintang Panjiwani Kusuma As’ari. The Relationship Between Noise and Temperature to the Level of Work Fatigue in Workers in the Cutting Section. Am. J. Sci. Eng. Technol. 2023, 8(3), 141-145. doi: 10.11648/j.ajset.20230803.13
AMA Style
Tri Budiyanto, M. Yusuf, Bintang Panjiwani Kusuma As’ari. The Relationship Between Noise and Temperature to the Level of Work Fatigue in Workers in the Cutting Section. Am J Sci Eng Technol. 2023;8(3):141-145. doi: 10.11648/j.ajset.20230803.13
@article{10.11648/j.ajset.20230803.13, author = {Tri Budiyanto and M. Yusuf and Bintang Panjiwani Kusuma As’ari}, title = {The Relationship Between Noise and Temperature to the Level of Work Fatigue in Workers in the Cutting Section}, journal = {American Journal of Science, Engineering and Technology}, volume = {8}, number = {3}, pages = {141-145}, doi = {10.11648/j.ajset.20230803.13}, url = {https://doi.org/10.11648/j.ajset.20230803.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20230803.13}, abstract = {Work fatigue is a decrease in or inability for a person to carry out work activities. Fatigue can occur due to factors in an unsupportive work environment. Workers in the cutting section at Small and medium-sized enterprises (SMEs) Gunungkidul Yogyakarta, Indonesia, carry out the production process in the form of cutting natural stone every day, which is at risk of being exposed to noise and rather high temperatures. Based on the results of the initial measurements, it was found that the level of noise intensity and temperature in the production area exceeded the allowable threshold value. This study aims to determine the relationship between the physical work environment, including noise and temperature, and worker fatigue and then analyze how much influence these factors have and which factors have the most dominant influence on worker fatigue. This study used multiple linear regression methods with randomly selected samples from several SMEs in Gunung Kidul, Yogyakarta. The results showed that the noise factor with a t test value of (4,086 > 2,093) indicated that noise had a positive and significant effect on work fatigue, while the temperature factor, based on the results of the T test, had a calculated T value of (1,787 < 2,093), which means that the temperature has no significant effect on work fatigue. With a coefficient of determination of 0.508 or an effect of 50.8% on worker fatigue.}, year = {2023} }
TY - JOUR T1 - The Relationship Between Noise and Temperature to the Level of Work Fatigue in Workers in the Cutting Section AU - Tri Budiyanto AU - M. Yusuf AU - Bintang Panjiwani Kusuma As’ari Y1 - 2023/07/20 PY - 2023 N1 - https://doi.org/10.11648/j.ajset.20230803.13 DO - 10.11648/j.ajset.20230803.13 T2 - American Journal of Science, Engineering and Technology JF - American Journal of Science, Engineering and Technology JO - American Journal of Science, Engineering and Technology SP - 141 EP - 145 PB - Science Publishing Group SN - 2578-8353 UR - https://doi.org/10.11648/j.ajset.20230803.13 AB - Work fatigue is a decrease in or inability for a person to carry out work activities. Fatigue can occur due to factors in an unsupportive work environment. Workers in the cutting section at Small and medium-sized enterprises (SMEs) Gunungkidul Yogyakarta, Indonesia, carry out the production process in the form of cutting natural stone every day, which is at risk of being exposed to noise and rather high temperatures. Based on the results of the initial measurements, it was found that the level of noise intensity and temperature in the production area exceeded the allowable threshold value. This study aims to determine the relationship between the physical work environment, including noise and temperature, and worker fatigue and then analyze how much influence these factors have and which factors have the most dominant influence on worker fatigue. This study used multiple linear regression methods with randomly selected samples from several SMEs in Gunung Kidul, Yogyakarta. The results showed that the noise factor with a t test value of (4,086 > 2,093) indicated that noise had a positive and significant effect on work fatigue, while the temperature factor, based on the results of the T test, had a calculated T value of (1,787 < 2,093), which means that the temperature has no significant effect on work fatigue. With a coefficient of determination of 0.508 or an effect of 50.8% on worker fatigue. VL - 8 IS - 3 ER -