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Firefighters are at high risk of experiencing fatigue due to the demands of 24-hour readiness, exposure to emergency situations, and substantial physical and psychological demands at work. This study aimed to analyze the level of fatigue and the contributing risk factors among firefighters in City X, 2025. This study employed a cross-sectional study with a simple random sampling method. 138 participants who completed the OFER-15, NASA-TLX, PSS-10, PSQI, and IPAQ-7 questionnaires. The work-related fatigue risk factors examined included workload, work duration, length of service, commuting time, and occupational stress. Non-work-related factors included age, nutritional status, sleep quantity and quality, physical activity, and caffeine consumption. The results indicated that 15.9% of respondents experienced chronic fatigue, 18.8% acute fatigue, and 15.2% inadequate recovery time. 3 out of 5 work-related factors, specifically work duration, length of service, and occupational stress were significantly associated with both chronic and acute fatigue. Chronic fatigue was associated with work duration (p value: 0.028, OR: 3.519), length of service (p-value: 0.045, OR: 0.396), and occupational stress (p value: 0.015, OR: 4.969), while acute fatigue was linked to work duration (p value: 0.004, OR: 4.675), length of service (p value: 0.012, OR: 0.284), and occupational stress (p value: 0.037, OR: 3.267). Physical activity was the only non-work-related factor significantly associated with chronic fatigue (p value: 0.041, OR: 2.917). These findings highlight the need for fatigue prevention programs tailored to job types and individual conditions.
Kata kunci: kelelahan, pemadam kebakaran, faktor risiko kelelahan.
Work Fatigue is a physical or mental condition that occurs to workers and negatively affects their work performance. This study discusses the contributing factors for the occurrence of Subjective Work Fatigue in Bogor City firefighters in 2019. The number of respondents studied was the entire population, which is 54 workers. Measurement of fatigue using a questionnaire in the form of fatigue symptoms originating from the Industrial Fatigue Research Committee (IFRC) and the results showed that 36 workers (66.6%) experienced mild fatigue and 18 workers (33.3%) experienced moderate fatigue. The research design used was cross sectional using the quantitative method (Chi-square) and odd ratio to determine the degree of relationship between two variabels. The results of this study indicate the absence of variabels that have a significant relationship to the occurrence of fatigue.
Keywords: fatigue, firefighters, fatigue risk factor
Kata kunci: Kelelahan, Faktor Risiko, Pemadam Kebakaran.
Fatigue is a feeling of constant tiredness that can reduce the ability to perform a task in a safe and effective way. Firefighters work in 1x24 hours shift, this increase the risk of fatigue among workers. The aim of this study is to determine the risk factors related to fatigue in firefighters. The dependent variable in this study is the level of fatigue on firefighters. The independent variables in this study are divided into non-work-related factors (age, commuting time, sleep quantity, sleep quality, health condition and Body Mass Index (BMI)) and work-related factors (work period, other job and work variations). The sample of this study are a total of 56 firefighters. The data was collected subjectively using questionnaires. This study used Subjective Self Rating Test by IFRC to determine the level of fatigue and Pittsburgh Sleep Quality Index to determine the sleep quality. This study used Cross Sectional design to determine the relationship between the dependent and independent variable. Methods that used is quantitative (Chi-square) and odd ratio to determine the relationship level of the variables. Result showed 85,7% workers experienced low level of fatigue and 14,3% experienced moderate level of fatigue. Based on these results in line with the number of fire cases during the last month there were only 16 cases so that the workload of firefighters is not heavy. The results showed there is a relationship between workers fatigue and work period (OR= 7.2), health condition (OR = 5.0), sleep quantity (OR = 5.8), sleep quality (OR = 0.02) and commuting time (OR = 0.08). Therefore, control related to risk factors related to fatigue is needed.
Key word: Fatigue, Risk Factor, Firefighters
Penelitian ini bertujuan untuk menganalisis kelelahan dan faktor risiko kelelahan (fatigue)
pada pekerja konstruksi di Proyek A PT XYZ tahun 2025. Faktor terkait pekerjaan yang
diteliti mencakup waktu kerja, beban kerja, shift kerja dan lingkungan kerja. Sedangkan,
faktor tidak terkait pekerjaan yang diteliti mencakup usia, status gizi, kualitas tidur,
kuantitas tidur, kebiasaan merokok, konsumsi kafein, dan commuting time (waktu
perjalanan). Penelitian ini menggunakan pendekatan kuantitatif dengan desain studi cross
sectional dan dilaksanakan pada Februari – Juni 2025 di Proyek A PT XYZ.
Pengumpulan data dilakukan melalui kuesioner yang mencakup identitas responden,
Fatigue Assessment Scale for Construction Workers (FASCW), NASA Task Load Index
(NASA TLX) dan Pittsburgh Sleep Quality Index (PSQI). Jumlah responden dalam
penelitian ini adalah sebanyak 78 orang. Hasil penelitian menunjukkan bahwa 36
responden (46,2%) mengalami kelelahan, sedangkan 42 responden (53,8%) tidak
mengalami kelelahan. Berdasarkan analisis inferensial menggunakan uji Chi-Square,
diketahui bahwa terdapat hubungan yang signifikan antara shift kerja (p-value = 0,024;
OR = 0,227) dan usia (p-value = 0,024; OR = 3,000) dengan kelelahan pada pekerja
konstruksi di Proyek A PT XYZ.
This study aims to analyze fatigue and the risk factors associated with fatigue among construction workers at Project A, PT XYZ, in 2025. Work-related factors examined include working hours, workload, work shifts, and work environment. Meanwhile, non work-related factors analyzed include age, nutritional status, sleep quality, sleep quantity, smoking habits, caffeine consumption, and commuting time. This research employs a quantitative approach with a cross-sectional study design, conducted from February to June 2025 at Project A, PT XYZ. Data collection was carried out using a questionnaire covering respondent identity, the Fatigue Assessment Scale for Construction Workers (FASCW), NASA Task Load Index (NASA TLX), and Pittsburgh Sleep Quality Index (PSQI). The total number of respondents in this study was 78. The results showed that 36 respondents (46.2%) experienced fatigue, while 42 respondents (53.8%) did not. Based on inferential analysis using the Chi-Square test, a significant relationship was found between work shifts (p-value = 0.024; OR = 0.227) and age (p-value = 0.024; OR = 3.000) and fatigue among construction workers at Project A of PT XYZ.
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.
Occupational fatigue is a critical issue affecting worker productivity and safety, including in the surveying service industry. This study aimed to describe the prevalence of fatigue and analyze the relationship between work-related and non-work-related risk factors among inspectors at PT X in 2025. This research used a cross-sectional design with a quantitative approach involving 74 inspectors selected by total sampling. Data were collected using the Subjective Self-Rating Test, PSQI, and NASA-TLX questionnaires then analyzed using the Chi-square test and odds ratio (OR). The results showed that all inspectors experienced fatigue, 79.7% reporting mild fatigue and 21.3% moderate fatigue. Significant risk factors associated included, poor sleep quality, which posed a 6 times higher risk than good sleep quality (OR = 6.26), and physical inactivity, which presented a 12 times higher risk than being physically active (OR = 12,34). In contrast, work duration (OR = 0.15) and travel time (OR = 0.15) did not align with general theories and differed from previous studies, highlighting the need for further research. The study recommends comprehensive fatigue management programs by considering various risk factors. A healthy lifestyle, adequate rest management, and improving sleep quality can reduce the risk of occupational fatigue.
