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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.
Name : Indah Sari Budi Ghafara Study Program: Keselamatan dan Kesehatan Kerja Title : Analysis of Work Fatigue Risk Factors on Train Driver PT XYZ in 2023. Counsellor : Indri Hapsari Susilowati, S.KM, M.KKK, Ph.D Public transportation is currently people's favorite choice for moving safely and efficiently. One of the public transportation choices for the people of Jakarta is the Mass Rapid Train (MRT). MRT train safety is an important issue to pay attention to maintain the safety of both the driver and the passengers. In operating the MRT train, it is carried out by a train driver. According to data from the National Transportation Safety Commission (KNKT), in 2016 as many as 45% of accidents were caused by train drivers. This study aims to analyze fatigue and factors related to the occurrence of fatigue in train drivers such as work-related factors and non-work related factors. This research was conducted from January to June 2023 at PT XYZ. The tools used in this study were the Fatigue Assessment Scale (FAS) questionnaire to measure fatigue, and the Sound Level Meter to measure noise. This research is a quantitative study with a cross-sectional study design. The sample in this study was 67 MRT train drivers who actively operated trains. The results of the questionnaire data were analyzed using the chi-square statistical test. The results of this study showed that 41.8% experienced fatigue. From this study, it is known that on work-related risk factors, there is a significant relationship between work shifts and driver fatigue. In non-work related risk factors, there is a significant relationship between commuting time and sleep quality on driver fatigue.
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.
