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Abstract

In 2020 cases of Covid-19 were found in various parts of the world, one of which was in Indonesia. Since it was first discovered, this case has continued to increase, with DKI Jakarta Province being the highest contributor to daily positive cases of Covid-19 in Indonesia. The Indonesian government continues to make efforts and cooperation between institutions. One of the institutions it has is the Health Agency. However, the arrangements and working conditions that have changed following the development of the Covid-19 case can cause fatigue for employees of the DKI Jakarta Health Agency.. This study aims to analyze the relationship between work-related risk factors (working hours, effort, work rewards, overcommitment, social support, and job satisfaction) and non-work-related (sleep quantity, sleep quality, health status, educational status, stress, and age) on employees of Jakarta Health Agency against fatigue. This study used a cross-sectional research design with primary data collection using a questionnaire. The results of research based on MFI found that 64 employees (45.7%) experienced general fatigue, 67 employees (47.9%) experienced physical fatigue, 67 employees (47.9%) experienced mental fatigue, 47 employees (33.6%) experienced reduced activity, and as many as 65 employees (46.4%) experienced reduced motivation with variables having a p-value

References

Amir, J., Wahyuni, I., & Ekawati, E. (2019). Hubungan Kebisingan, Kelelahan Kerja Dan Beban Kerja Mental Terhadap Stres Kerja Pada Pekerja Bagian Body Rangka Pt. X. Jurnal Kesehatan Masyarakat (Undip), 7(1), 345-350. Caldwell, J. A.,

Caldwell, J. L., Thompson, L. A., & Lieberman, H. R. (2019). Fatigue and its management in the workplace. Neuroscience and Biobehavioral Reviews, 96(November), 272-289. https://doi.org/10.1016/j.neubiorev.2018.10.024

Fitri W.A, Ekawati, & Ida W. (2017). Hubungan antara Faktor Individu, Beban Kerja dan Shift Kerja dengan Kelelahan Kerja pada Perawat di RSJD Dr. Amino Gondohutomo Semarang. Jurnal Kesehatan Masyarakat (E-Journal), 5(5), 235-334.

Garubba, M., & Joseph, C. (2018). The Impact of fatigue in the healthcare setting: A scoping review. Monash Health, 23(2), 1-9.

Grandjean, E., 1979. Fatigue in Industry. British Journal of Industrial Medicine,, (36), pp.175-186.

Hamzah, W. (2019). Pengaruh Beban Kerja dan Dukungan Sosial terhadap Kelelahan Kerja. Psikoborneo: Jurnal Ilmiah Psikologi, 7(2).

Huynh, J. Y., Xanthopoulou, D., & Winefield, A. H. (2013). Social support moderates the impact of demands on burnout and organizational connectedness: a two-wave study of volunteer firefighters. Journal of Occupational Health Psychology, 18(1), 9.

ILO, 2020. Managing work-related psychosocial risks during the COVID-19 pandemic.

Lerman, S., Flower, D., Gerson, B. and Hursh, S., 2012. Fatigue Risk Management in the Workplace. JOEM, 54(2).

Nugraha, B. A., & Ramdhanie, G. G. (2018). Kelelahan pada pasien dengan penyakit kronis. April, 7–13.

Nussbaum, M. a, Babski-reeves, K. L., Kleiner, B. M., Smith-jackson, T. L., & Barker, L. M.(2009). Measuring and modeling the effects of fatigue on performance.

OECD Labour Force Statistics 2018 (2018). OECD (OECD Labour Force Statistics). doi: 10.1787/oecd Ifs-2018-en.

Pirmoradi, M., Foroghinejad, N., & Bedmeshki, F. (2017). The relationship between job satisfaction and social support for employees with chronic fatigue. Annals of Tropical Medicine and Public Health, 10(6).

Pulat, B.M. 1992. Fundamental Of Industrial Ergonomics. Prentice Hall, Englewood Cliffs, New Jersey

Putri, D. E. (2018). Hubungan Karakteristik Individu dan Kualitas Tidur dengan Kelelahan Kerja pada Karyawan Bagian Operasi Tungku di PT. Inalum Kuala Tanjung Tahun 2018.

Sembajwe, G., Wahrendorf, M., Siegrist, J., Sitta, R., Zins, M., Goldberg, M., Berkman, L. (2012). Effects of job strain on fatigue: cross-sectional and prospective views of the job content questionnaire and effort-reward imbalance in the GAZEL cohort. Occupational and Environmental Medicine, 69(6), 377–384. doi:10.1136/oem.2010.063503

Siegrist, J., Starke, D., Chandola, T., Godin, I., Marmot, M., Niedhammer, I. and Peter, R., 2004. The measurement of effort–reward imbalance at work: European comparisons.

Social Science & Medicine, [online] 58(8), pp.1483-1499. Available at: .

Suwandi, I., & Yahya, A. (2019). Penguatan Tata Kelola Pembangunan Kesehatan. Kementerian PPN/Bappenas.

Triana, E., Ekawati, E., & Wahyuni, I. (2017). Hubungan Status Gizi, Lama Tidur, Masa Kerja dan Beban Kerja dengan Kelelahan Kerja pada Mekanik Di Pt X Plant Jakarta. Jurnal Kesehatan Masyarakat (Undip), 5(5), 146-155.

Widanarko, B., & Modjo, R. (2017). Occupational Risk Factors for Acute Fatigue Symptoms among Indonesian Beverage Industry Workers. Stress, 2(3), 0-2.

Bahasa Abstract

Pada tahun 2020 kasus Covid-19 ditemukan di berbagai dunia salah satunya di Indonesia. Sejak pertama kali ditemukan, kasus ini terus meningkat dengan Provinsi DKI Jakarta sebagai penyumbang kasus positif Covid-19 harian tertinggi di Indonesia. Pemerintah Indonesia terus melakukan upaya dan kerjasama antar lembaga. Salah satu lembaga yang berwenang yaitu Dinas Kesehatan. Namun, dengan pengaturan dan kondisi kerja yang telah berubah mengikuti perkembangan kasus Covid-19 dapat menyebabkan fatigue bagi pegawai Dinas Kesehatan Provinsi DKI Jakarta.. Penelitian ini bertujuan untuk menganalisis hubungan faktor risiko terkait kerja (jam kerja, usaha, penghargaan kerja, overcommitment, dukungan sosial, dan kepuasan kerja)dan tidak terkait kerja (kuantitas tidur, kualitas tidur, status kesehatan, status pendidikan, stress, dan usia)pada pegawai Dinas Kesehatan Provinsi DKI Jakarta terhadap fatigue.. Penelitian ini menggunakan desain penelitian cross sectional dengan pengambilan data primer menggunakan kuesioner. Hasil penelitian berdasarkan MFI diketahui sebanyak 64 pegawai (45,7%) mengalami general fatigue, 67 pegawai (47,9%) mengalami physical fatigue, 67 pegawai (47,9%) mengalami mental fatigue, 47 pegawai (33,6%) mengalami reduced activity, dan sebanyak 65 pegawai (46,4%) mengalami reduced motivation dengan variabel yang memiliki nilai p value

Kata Kunci: Kelelahan, Dinas Kesehatan, Faktor Terkait Kerja, Faktor Tidak Terkait Kerja

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