Keywords:
Unsafe Action
Modelling
Work Shift
Fatigue
Work Accident

  • Abstract

    The number of work accidents is still very high in several countries, especially in developing countries. The lack of research examining risk factor models for work accidents is still in the spotlight. So that it requires modeling Factors of Work Shifts, Fatigue and Unsafe Actions on Work Accidents at PT PLN Barru, Indonesia. This research is an analytic observational study using a cross-sectional research design. The samples taken were 65 technical workers who were determined using the total sampling method. The collected data were analyzed using the chi-square test for bivariate and path analysis for multivariate. The findings show that there is an effect of work shift, and work fatigue on Unsafe Action. It was also found that work accidents were strongly influenced by work fatigue and unsafe actions with each P value <0.05. Meanwhile, there was no effect of work shifts on work accidents with a p value> 0.05. The findings also show that together the work shift combined with unsafe action will affect work accidents and work fatigue combined with unsafe action will also affect work accidents with each p value < 0.05. The magnitude of the influence can be seen by the magnitude of the T value, the greater the T value, the greater the influence that occurs. From the model obtained, it is known that unsafe action is a supporting factor in the occurrence of work accidents. The main factor that causes work accidents is work fatigue.

  • References

    1. Abubakar, I. I.; TIillmann, T.; Banerjee, A. (2015). Europe PMC Funders Group GlobMENDONÇA, M. F. S. Incidência De Transtorno Mental Comum E Violência Por Parceiro Íntimo. 2015. p. 1–8. al, regional, anMENDONÇA, M. F. S. Incidência De Transtorno Mental Comum E Violência Por Parceiro Íntimo. 2015. p. 1–8. Lancet (London, England), 385(9963), 117–171. https://doi.org/10.1016/S0140-6736(14)61682-2.Global
    2. Akbari, H., Kashani, M., Asadi, Z., Kaveh, M., & Hannani, M. (2019). The correlation between occupational unsafe acts and job burnout among workers in kashan metal melting industries 2017. International Archives of Health Sciences, 6(4), 148. https://doi.org/10.4103/iahs.iahs_38_19
    3. Akbari, H., Kashani, M., Asadi, Z., Kaveh, M., & Saberi, H. (2019). The relationship between job satisfaction and the incidence of unsafe acts in metal smelting industry workers in 2017. International Archives of Health Sciences, 6(3), 127. https://doi.org/10.4103/iahs.iahs_40_19
    4. Al-Refaie, A. (2013). Factors affect companies’ safety performance in Jordan using structural equation modeling. Safety Science, 57(March), 169–178. https://doi.org/10.1016/j.ssci.2013.02.010
    5. Aryanto, L., Ekawati, & Kurniawan, B. (2016). Hubungan Pelatihan , Status Kerja, Latar Kerja Pada Total E & P Indonesie. Jurnal Kesehatan Masyarakat, 4(2356–3346), 457–467.
    6. Behn, C., & Gregorio, N. De. (2020). Melatonin Relations with Energy Metabolism as Possibly Involved in Fatal Mountain Road Traffic Accidents. International Journal of Molecular Sciences, 21(2184), 1–22.
    7. Bhadke, M., & Rehman, M. A. A. (2022). Consequences of Shift Work in Industry : A Critical Review. Journal of Ergonomis, 12(2), 1–6. https://doi.org/10.35248/2165-7556-22.12.302
    8. Charisma, R., Mandagi, P., Sondakh, R. C., Maddusa, S., Kesehatan, F., Universitas, M., Ratulangi, S., & Abstrak, M. (2022). Hubungan Kelelahan Kerja dengan Kejadian Kecelakaan Kerja di PT. Putra Karangetang Desa Popontolen Kabupaten Minahasa Selatan. Jurnal KESMAS, 11(4), 28–34.
    9. Chipman, M. L. (1995). Risk factors for injury: Similarities and differences for traffic crashes and other causes. Accident Analysis and Prevention, 27(5), 699–706. https://doi.org/10.1016/0001-4575(95)00013-P
    10. Cooper, M. D., & Phillips, R. A. (2004). Exploratory analysis of the safety climate and safety behavior relationship. Journal of Safety Research, 35(5), 497–512. https://doi.org/10.1016/j.jsr.2004.08.004
    11. Dyreborg, J., Lipscomb, H. J., Nielsen, K., Törner, M., Rasmussen, K., Frydendall, K. B., Bay, H., Gensby, U., Bengtsen, E., Guldenmund, F., & Kines, P. (2022). Safety interventions for the prevention of accidents at work: A systematic review. Campbell Systematic Reviews, 18(2). https://doi.org/10.1002/cl2.1234
    12. Frone, M. R. (1998). Predictors of work injuries among employed adolescents. Journal of Applied Psychology, 83(4), 565–576. https://doi.org/10.1037/0021-9010.83.4.565
    13. Global Road Safety Facility & IHME. (2014). The Global Burden of Disease from Motorized Road Transport. In The World Bank and Institute for Health Metrics and Evaluation (IHME).
    14. Gyedu, A., Nakua, E. K., Otupiri, E., Mock, C., Donkor, P., & Ebel, B. (2015). Incidence, Characteristics and Risk Factors for Household and Neighborhood Injury among Young Children in Semi-Urban Ghana: A Population-Based Household Survey. Inj Prev., 21(April), 71–79. https://doi.org/10.1177/0022146515594631.Marriage
    15. Hämäläinen, P., Takala, J., & Saarela, K. L. (2006). Global estimates of occupational accidents. Safety Science, 44(2), 137–156. https://doi.org/10.1016/j.ssci.2005.08.017
    16. HARRELL, W. A. (1990). Perceived Risk of Occupational Injury: Control Over Pace of Work and Blue-Collar Versus White-Collar Work. Perceptual and Motor Skills, 70(4), 1351. https://doi.org/10.2466/pms.70.4.1351-1359
    17. Hidayat, R., & Febriyanto, K. (2021). Hubungan Kelelahan Kerja Dengan Kejadian Kecelakaan Kerja Pada Penyelam Tradisional Di Pulau Derawan Provensi Kalimantan Timur. Borneo Student Research, 2(2), 1045–1051.
    18. Hsu, S. H., Lee, C. C., Wu, M. C., & Takano, K. (2008). A cross-cultural study of organizational factors on safety: Japanese vs. Taiwanese oil refinery plants. Accident Analysis and Prevention, 40(1), 24–34. https://doi.org/10.1016/j.aap.2007.03.020
    19. ILO. (2015). Investigation of Occupational Accidents and Diseases: A Practical Guide for Labour Inspectors. In International Labour Office (Vol. 11, Issue 2).
    20. Kang, S., Cho, S., Yun, S., & Kim, S. (2021). Semantic network analysis using construction accident cases to understand workers’ unsafe acts. International Journal of Environmental Research and Public Health, 18(23), 1–14. https://doi.org/10.3390/ijerph182312660
    21. Laflamme, L., Menckel, E., & Lundholm, L. (1996). The age-related risk of occupational accidents: The case of swedish iron-ore miners. Accident Analysis and Prevention, 28(3), 349–357. https://doi.org/10.1016/0001-4575(96)00001-2
    22. Laurie, a. (1998). Report III Statistics of occupational injuries. International Labour Organization, October, 1–64.
    23. Liu, X., & Li, X. (2022). Exploring the Formation Mechanism of Unsafe Construction Behavior and Testing Efficient Occupational Health and Safety (OHS) Programs. International Journal of Environmental Research and Public Health, 19(4), 1–19. https://doi.org/10.3390/ijerph19042090
    24. Llamazares, J., Useche, S. A., Montoro, L., & Alonso, F. (2021). Commuting accidents of Spanish professional drivers: when occupational risk exceeds the workplace. International Journal of Occupational Safety and Ergonomics, 27(3), 754–762. https://doi.org/10.1080/10803548.2019.1619993
    25. Lombogia, O., Kawatu, P. A. T., & Sumampouw, O. J. (2018). The Relationship Between Unsafe Worker Behavior With Work Accidents At PT. Tropica Cocoprima, Lelema Village, South Minahasa Regency. Kesehatan Masyarakat, 7(5), 1–7.
    26. Maurits, L. S., & Widodo, I. D. (2008). Faktor dan Penjadualan Shift Kerja. Teknoin, 13(2), 18–22. https://doi.org/10.20885/teknoin.vol13.iss2.art4
    27. Mutia, A. A., Ekawati, & Wahyuni, I. (2017). ANALISIS FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN PERILAKU TIDAK AMAN PADA PEKERJA DI DEPARTEMEN PRODUKSI PT. X. JURNAL KESEHATAN MASYARAKAT, 5(5), 1–9.
    28. Neal, A., Gri, M. A., & Hart, P. M. (2000). Neal 2000 SafetySci org climate impact on behav! Journal Individual Behaviour, 34(1), 99–109.
    29. Nivolianitou, Z., Konstandinidou, M., & Michalis, C. (2006). Statistical analysis of major accidents in petrochemical industry notified to the major accident reporting system (MARS). Journal of Hazardous Materials, 137(1), 1–7. https://doi.org/10.1016/j.jhazmat.2004.12.042
    30. Niza, C., Silva, S., & Lima, M. L. (2008). Occupational accident experience: Association with workers’ accident explanation and definition. Safety Science, 46(6), 959–971. https://doi.org/10.1016/j.ssci.2007.11.015
    31. Oktriyawan, Y., Purnomo, H., & Oktyajati, N. (2021). Analisis Pemakaian Alat Pelindung Diri pada Tenaga Kerja Antar-Shift Kerja di Unit Produksi PT. XYZ sebagai Upaya Mengendalikan Risiko di Tempat Kerja. Go-Integratif : Jurnal Teknik Sistem Dan Industri, 2(01), 50–59. https://doi.org/10.35261/gijtsi.v2i01.5106
    32. Oliver, A., Cheyne, A., Tomás, J. M., & Cox, S. (2002). The effects of organizational and individual factors on occupational accidents. Journal of Occupational and Organizational Psychology, 75(4), 473–488. https://doi.org/10.1348/096317902321119691
    33. Otfiyantoa, O., Muhtarom, A., Ismail, H. B., & Mahmudah, H. (2018). The Influence Of The Working Shift Work And Stress On The Performance Of The Employes. Akuisisi: Jurnal Akuntansi, 14(1), 52–58. https://doi.org/10.24127/akuisisi.v14i1.250
    34. Oze, I., Matsuo, K., Ito, H., Wakai, K., Nagata, C., Mizoue, T., Tanaka, K., Tsuji, I., Tamakoshi, A., Sasazuki, S., Inoue, M., Tsugane, S., Inoue, M., Sasazuki, S., Iwasaki, M., Otani, T., Sawada, N., Shimazu, T., Tsuji, I., … Tanaka, K. (2012). Cigarette smoking and esophageal cancer risk: An evaluation based on a systematic review of epidemiologic evidence among the Japanese population. Japanese Journal of Clinical Oncology, 42(1), 63–73. https://doi.org/10.1093/jjco/hyr170
    35. Ramadhany, F. A., & Pristya, T. Y. R. (2019). Faktor-Faktor yang Berhubungan dengan Tindakan Tidak Selamat (Unsafe Act) pada Pekerja di Bagian Produksi PT Lestari Banten Energi. Jurnal Ilmiah Kesehatan Masyarakat, 11(2), 199–205.
    36. Ratih, R. M., Muliatini, N., & Suhendi, R. M. (2020). Pengaruh Shift Kerja Terhadap Efektivitas Kerja Pegawai (Suatu Studi pada PT BKS (Berkat Karunia Surya) di Kota Banjar. Business Management and Entreprenuership Journal, 2(1), 66–77.
    37. Reason, J. (2016). Managing the risks of organizational accidents. Taylor & Francis.
    38. Rudin-Brown, C. M., Harris, S., & Rosberg, A. (2019). How shift scheduling practices contribute to fatigue amongst freight rail operating employees: Findings from Canadian accident investigation. Accident Analysis and Prevention, 126(September 2017), 64–69. https://doi.org/10.1016/j.aap.2018.01.027
    39. Seo, D. C. (2005). An explicative model of unsafe work behavior. Safety Science, 43(3), 187–211. https://doi.org/10.1016/j.ssci.2005.05.001
    40. Sklet, S. (2004). Comparison of some selected methods for accident investigation. Journal of Hazardous Materials, 111(1–3), 29–37. https://doi.org/10.1016/j.jhazmat.2004.02.005
    41. Sklet, S. (2006). Hydrocarbon releases on oil and gas production platforms: Release scenarios and safety barriers. Journal of Loss Prevention in the Process Industries, 19(5), 481–493. https://doi.org/10.1016/j.jlp.2005.12.003
    42. Stanaway, J. D., Afshin, A., Gakidou, E., Lim, S. S., Abate, D., Abate, K. H., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., Abdollahpour, I., Abdulkader, R. S., Abebe, M., Abebe, Z., Abera, S. F., Abil, O. Z., Abraha, H. N., … Murray, C. J. L. (2018). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Stu. The Lancet, 392(10159), 1923–1994. https://doi.org/10.1016/S0140-6736(18)32225-6
    43. Takala, J., Hämäläinen, P., Saarela, K. L., Yun, L. Y., Manickam, K., Jin, T. W., Heng, P., Tjong, C., Kheng, L. G., Lim, S., & Lin, G. S. (2014). Global estimates of the burden of injury and illness at work in 2012. Journal of Occupational and Environmental Hygiene, 11(5), 326–337. https://doi.org/10.1080/15459624.2013.863131
    44. Wells, S., & MacDonald, S. (1999). The relationship between alcohol consumption patterns and car, work, sports and home accidents for different age groups. Accident Analysis and Prevention, 31(6), 663–665. https://doi.org/10.1016/S0001-4575(99)00025-1
    45. Wong, J. M., Arico, M. C., & Ravani, B. (2011). Factors influencing injury severity to highway workers in work zone intrusion accidents. Traffic Injury Prevention, 12(1), 31–38. https://doi.org/10.1080/15389588.2010.525569
    46. Yusril, M., Alwi, M. K., & Hasan, H. (2020). FAKTOR YANG BERHUBUNGAN DENGAN TINDAKAN TIDAK AMAN (UNSAFE ACTION) PADA PEKERJA BAGIAN PRODUKSI PT. SERMANI STEEL. Window of Public Health Journal, 1(4), 370–381.
    47. Zhou, C., Chen, R., Jiang, S., Zhou, Y., Ding, L., Skibniewski, M. J., & Lin, X. (2019). Human dynamics in near-miss accidents resulting from unsafe behavior of construction workers. Physica A: Statistical Mechanics and Its Applications, 530(June), 121495. https://doi.org/10.1016/j.physa.2019.121495
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2023 Multidisciplinary Science Journal

How to cite

Putri Mattola, M., Muis, M., Wahyu, A., Naiem, F., Thamrin, Y., & Ishak, H. (2023). The modeling factors work shifts, fatigue and unsafe actions on work accidents at PT PLN Barru, Indonesia. Multidisciplinary Science Journal, 6(4), 2024051. https://doi.org/10.31893/multiscience.2024051
Crossref
Scopus
Google Scholar
Europe PMC
  • Article viewed - 784
  • PDF downloaded - 523