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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.
The manufacturing sector is more likely to face challenges in safety implementation due to its high-risk operational nature. Measuring safety climate is essential to evaluate how well safety efforts are understood and practiced by workers. Safety climate reflects employees’ shared perceptions of safety values, policies, and practices in the workplace. This study aims to assess the safety climate among production workers at PT X, focusing on six dimensions: management commitment, safety communication, safety rules and procedures, supportive environment, personal accountability, and safety training, and to identify areas needing improvement. A quantitative, cross-sectional design was used, employing a self-administered questionnaire adapted from Lestari et al. (2020). Data from 81 respondents were analyzed using mean difference tests. The safety climate was rated as good, with a mean score of 5.14 out of 6.00. No significant differences were found across demographic groups, except for perceived management commitment, which varied by length of service. Findings highlight the importance of genuine management commitment in fostering a strong safety culture. However, improvement is still needed in personal accountability and safety training to enhance overall safety performance at PT X.
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.
Kata kunci: gejala gangguan otot rangka, manufaktur, ergonomi,faktor fisik, faktor psikososial
Manufacture is one of the industry that has the risk of musculoskeletal disorders. The aim of this research is to analysize the risk factors from the symptoms of disorders of musculoskeletal. This research conducted on March until April 2018 by involving 51 workers on Mixing area and 40 workers on Office Area of X Corporation which is a manufacturing company who made the component of the motor vehicle. This research used Cross Sectional method by using QEC questionnaire and combination of psychosocial questionnaire as the instrument for data collection. The independent variable of this research are the characteristic of workers (age, gender, body mass index, smokimg status, and working time), physical factors on the work place (force, awkward postures, repetitive motion, and coupling) and psychosocial factors (job demands, control of the job, social support, skill discretion, job satisfaction, and work stress). The result of this research shows there is a significant correlation of body mass index with a symptoms on the top of the back, working time and skill direstion with a symptoms of the wrist, high risk of physical factor with a symptom of the neck, and work stress with a symptom of shoulders and the low part of the back. Therefore it needs to be a further control about ergonomic factor at X Corporation.
Keyword: symptoms of musculoskeletal disorder, manufacturing, ergonomic, physical factor, psychosocial factor.