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Penelitian ini bertujuan melihat dan menganalisa hubungan faktor terkait pekerjaan (sifat pekerjaan, shift kerja, waktu kerja, waktu istirahat, lama kerja), faktor tidak terkait pekerjaan (lama tidur, pola tidur, waktu perjalan, pengguna suplemen, akivitas fisik) dan karateristik individu (umur,status perkawinan, IMT) terhadap tingkat kelelahan pengemudi pemadu moda/bus bandara pada perusahaan pendukung layanan transportasi di bandar udara.
Metode penelitian ini adalah metode kuantitatif dengan desain studi cross sectional. Besar sampel yang digunakan adalah 60 pengemudi yang berada di pool perusahaan dalam lokasi Bandara Internasional Soekarno Hatta.
Hasil penelitian menunjukan bahwa terdapat 23,3% pengemudi pemadu moda/bus bandara yang mengalami lelah, dengan variabel waktu istirahat sebagai faktor yang paling mempengaruhi tingkat kelelahan pengemudi.
X construction project workers have relatively high work hazards and risks, particularly while working under the COVID-19 pandemic situation. As construction projects must go on, the workers likely have a higher risk of the COVID-19 exposure. When some workers directly or indirectly are exposed to the COVID-19, their jobs are taken over by co-workers. This case results in fatigue for construction workers. Work fatigue is one of the causes of occupational accidents as the fatigue reduces their focus, decision-making abilities, muscle strength, communication skills, productivity, alertness, physical and psychological performance and work motivation. This study aimed to determine the impact of the COVID-19 pandemic on fatigue in PT. X workers. This study applied an observational analytic method with a cross-sectional study design. Samples were taken from the total population of foundry workers in construction projects as many as 100 workers. *Multidimensional Fatigue Inventory Questionnaire*. Data analysis with a quantitative approach used univariate and bivariate analysis. Based on the results of the Pearson correlation analysis with a significant level of p < 0.05, variables that had a relationship with fatigue variable were age (p = 0.048), sleep time (p = 0.040), comorbid (p=0.004) and the COVID-19 pandemic (p=0.001)
Kelelahan merupakan masalah multifaktor yang dialami pekerja sektor manufaktur dan
berdampak pada kecelakaan kerja, kesehatan, serta ekonomi. Penelitian ini bertujuan
untuk menganalisis faktor risiko yang berhubungan dengan kelelahan pada pekerja sales
perusahaan manufaktur di PT X tahun 2025. Faktor risiko yang diteliti meliputi faktor
risiko terkait pekerjaan (durasi kerja, masa kerja, beban kerja, waktu istirahat, waktu
perjalanan, dan lingkungan kerja) dan faktor risiko tidak terkait pekerjaan (usia, status
gizi, kuantitas tidur, kualitas tidur, konsumsi alkohol, dan konsumsi kafein). Penelitian
ini menggunakan desain studi cross-sectional yang dilaksanakan pada bulan Februari
hingga Juni 2025. Data dikumpulkan melalui kuesioner daring, meliputi kuesioner
karakteristik individu dan pekerjaan, OFER, PSQI, NASA-TLX, dan persepsi terhadap
lingkungan kerja. Terdapat 136 data responden yang dianalisis menggunakan analisis
deskriptif dan inferensial dengan uji chi-square. Hasil analisis menunjukkan bahwa
56.6% pekerja mengalami kelelahan kronik dan 79.4% kelelahan akut. Hasil
menunjukkan bahwa terdapat hubungan yang signifikan antara faktor risiko terkait kerja
yaitu masa kerja (p value = 0.047), lingkungan kerja bising (p value = 0.033) dan faktor
risiko tidak terkait kerja, yaitu kualitas tidur (p value = 0.044) dengan kelelahan kronik.
Hasil juga menunjukkan bahwa terdapat hubungan yang signifikan antara faktor risiko
terkait kerja yaitu beban kerja (p value = 0.033) dengan pemulihan kelelahan.
Fatigue is a multifactorial problem experienced by workers in the manufacturing sector and has an impact on work accidents, health, and the economy. This study aims to analyze the risk factors associated with fatigue in sales workers of manufacturing companies at PT X in 2025. The risk factors studied include work-related risk factors (duration of work, length of service, workload, rest time, commuting time, and work environment) and non work-related risk factors (age, nutritional status, sleep quantity, sleep quality, alcohol consumption, and caffeine consumption). This study used a cross-sectional study design conducted from February to June 2025. Data were collected through online questionnaires, including individual and job characteristics questionnaires, OFER, PSQI, NASA-TLX, and perceptions of work environment. 136 respondent data analyzed using descriptive and inferential analysis with the chi-square test. The results of the analysis showed that 56.6% of workers experienced chronic fatigue and 79.4% acute fatigue. The results showed that there was a significant relationship between work-related risk factors, namely work period (p value = 0.047), noisy work environment (p value = 0.033) and non-work-related risk factors, namely sleep quality (p value = 0.044) with chronic fatigue. The results also showed that there was a significant relationship between work-related risk factors, namely workload (p value = 0.033) with fatigue recovery.
Kata kunci: low back pain; neck pain; pengguna komputer; pekerja kantor
Most of the tasks with prolonged sitting can be exposed to high levels of sedentary behavior, one of which is computer or laptop user workers in the office. A long period time of computer or laptop use can increase the risk of musculoskeletal disorders complaints, especially in the lower back and neck. To look at the factors that influence complaints of low back pain and neck pain in office workers, a crosssectional study using 2020 primary data. The study involved 55 PT X workers in East Jakarta. There were 41.8% workers who had low back pain complaints and 50.9% workers who had neck pain complaints. The result of chi-square analysis indicated that there were significant relationship between physical and psychosocial risk factors with low back pain complaints, those are static muscle work (p-value = 0.03), work demands ( p-value = 0.00), social support (p-value = 0.00), and work stress (p-value = 0.00). Then, the result of chi-square analysis indicated that there were significant relationship between physical and psychosocial risk factors with neck pain complaints, those are duration of computer use (p-value = 0.01), work static muscle (p-value = 0.01), work demands (p-value = 0.02), social support (pvalue = 0.04), and work stress (p-value = 0.01).
Keywords: low back pain; neck pain; computer user; office worker
