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The COVID-19 pandemic situation has opened people's eyes to the importance of health, the increasing demand for health products has encouraged the logistics industry of PT X, which plays a role in the distribution of goods, to carry out overtime work to meet the high work intensity, this increases the risk of fatigue in the workplace which can reduce body function and have an impact on the health of workers and even the risk of errors in the workplace. Additionally, PT X lacks a fatigue risk management system, making it unable to do fatigue detection, thus this research aims to provide an overview of complaints and fatigue warehouse logistics workers at PT X year 2022, located in one of the DKI Jakarta region. Research design is a quantitative and qualitative with a cross-sectional study using questionnaire instruments, including the Fatigue Assessment Scale (FAS), NASA Task Load Index (TLX), and Pittsburgh Sleep Quality Index (PSQI) which were then analyzed univariately and triangulated the data with the results of field interviews towards several workers and the coordinator of each team. The results showed that there were 20 workers (37.04%) experiencing light fatigue, the majority of the others (62.96%) did not experience any, and none with severe fatigue, as for the most dominant fatigue risk factor found is the workers' sleep quantity with the majority of workers (83.33%) having sleep duration below the standard of 7 hours minimum
Fatigue is a consequence of work which decreases physical and mental work capacity and is one of the factors causing accidents in the construction field. Fatigue can occur in workers of various age ranges, including young workers aged 15-24 years. This study aims to analyze risk factors for fatigue including age, nutritional status (Body Mass Index), health status, work period, hours of work, rest periods, exercise habits, caffeine consumption, alcohol consumption, smoking habits, sleep quality, job satisfaction, demands in the workplace, control of work, social support and work stress on work fatigue itself in young workers on construction projects. The study was conducted on young workers of PT. ABC in Bali (3 construction projects), involving 212 young workers. The design of this study is a semi-quantitative analytic with cross-sectional study. The instruments used include the Industrial Fatigue Research Committee (IFRC), the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Index to view sleep hygiene and the adaptation questionnaire from Copenhagen for further assessment and improvement to prevent ongoing fatigue that is Psychosocial Questionnaire-III. The results showed that most respondents in the category of moderate fatigue (69.34%. In general, fatigue among young workers in the construction sector in conditions of need is a critical risk of work accidents.
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.
Accidents related to traffic and incidents related to vehicles are the main causes of accidents in mining areas. One of the causes is fatigue on mining truck operators. This study was conducted to describe subjective fatigue and analyze risk factors related to subjective fatigue in coal mining vehicle operators in mining and hauling area of PT Adaro Indonesia. The risk factors studied included non-work-related risk factors (age, nutritional status (BMI), neck circumference, health complaints, sleep quantity, and sleep quality) and work-related risk factors (work area, length of work, shift work, commuting time, and work environment, especially temperature, noise, vibration, and lighting). The study was conducted from February to July 2022. The data used in this study came from a questionnaire distributed online, which included a questionnaire on individual and job characteristics, the Fatigue Assessment Scale (FAS), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using descriptive analysis and inferential analysis with chi-square test and multiple logistic regression test for prediction models. The minimum sample size in this study was 436 operators, but the data that were successfully analyzed were 440 respondents. The results showed that as many as 130 operators (29.5%) experienced subjective fatigue. The results of inferential statistical analysis using the chi-square test showed that there was a significant relationship between risk factors not related to work, namely nutritional status (fat and obesity BMI), health complaints, and sleep quality on subjective fatigue in operators. The results of inferential statistical analysis also show that there is a significant relationship between work-related risk factors, namely working period, temperature, noise, vibration, and lighting, and subjective fatigue on operators. Meanwhile, the results of inferential analysis using multiple logistic regression test predictive models indicate that sleep quality is the most dominant variable associated with subjective fatigue in operators.
