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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.
Kata kunci: ix Universitas Indonesia Kelelahan, faktor risiko fisik, faktor risiko psikososial, masinis
Fatigue is a common occurrence in many industries, including the transportation industry in this case particularly in electric train drivers. Activities performed by commuter train drivers have the potential to cause fatigue due to job characteristics of train drivers are at risk of exposure to physical factor (awkward posture), psychosocial factores (effort, reward, overcommitment, monotonous work, social support from co-workers, supervisor and family, work related stress and shift), and individual factors (age, body mass index, smoking status). This research was carried out on the train drivers of UPT Crew Depok PT. KCI. The design of this research is quantitative observational with cross sectional approach. Previous studies have linked the incidence of work fatigue to psychosocial risk factors while only few studies have examined physical risk factors. In addition, the study related to work fatigue in general used questionnaire instrument while in this study in addition to using the questionnaire instrument also made an objective measurement through Salivary Alpha Amylase (SAA) using cocorometer as one of the indicators to measure stress levels and using sleep-2-peak applications to measure work related fatigue.This is the the background to conduct research related to the overview of work related fatigue as well as to analyze the relationship of physical factors, psychosocial, and individual factors to work related fatigue in train drivers of PT. KCI 2018.
Key word: Fatigue, physical risk factors, psychosocial risk factors, train drivers
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 kerja mengacu pada sensasi kelelahan dan penurunan kemampuan fungsional yang terjadi di tempat kerja dan merupakan masalah serius yang dapat menurunkan produktivitas dan meningkatkan risiko kecelakaan kerja, terutama pada pekerja satuan pengamanan (SATPAM) yang memiliki durasi kerja panjang dan beban kerja tinggi. Penelitian ini bertujuan untuk menganalisis faktor risiko terkait pekerjaan dan tidak terkait pekerjaan yang memengaruhi kelelahan kerja pada pekerja satuan pengamanan PT. XYZ. Penelitian ini menggunakan desain cross-sectional dengan sampel sebanyak 195 responden yang dipilih secara uji hipotesis proporsi dan proporsional dari 11 lokasi kerja. Data dikumpulkan melalui kuesioner kelelahan kerja subyektif dari Industrial Fatigue Research Committee (IFRC). Analisis data dilakukan menggunakan uji regresi logistik. Hasil didapatkan sebanyak 70,8% responden mengalami kelelahan kerja sedang-berat. Faktor risiko terkait pekerjaan yang berhubungan signifikan dengan kelelahan kerja meliputi masa kerja (OR=2,229; p=0,012), durasi kerja (OR=2,368; p=0,023), beban kerja (OR=3,869; p=0,015), peran di organisasi (OR=2,645; p=0,002), dukungan sosial di tempat kerja (OR=2,045; p=0,028), tuntutan pekerjaan (OR=2,192; p=0,032), dan kepuasan kerja (OR=7,344; p=0,008). Faktor tidak terkait pekerjaan yang berhubungan signifikan dengan kelelahan kerja meliputi usia (OR=2,735; p=0,002), tingkat pendidikan (OR=2,602; p=0,015), waktu komuter (OR=2,039; p=0,025), kebiasaan merokok (OR=3,844; p=0,013), kebiasaan olahraga (OR=2,800; p=0,022) dan durasi tidur (OR=1,885; p=0,004). Sedangkan faktor risiko jenis kelamin, indeks masa tubuh dan status pernikahan tidak berhubungan signifikan dengan kelelalahan kerja. Kelelahan kerja pada SATPAM PT. XYZ dipengaruhi oleh faktor pekerjaan (masa kerja, durasi kerja, beban kerja, peran di organisasi, dukungan sosial di tempat kerja, tuntutan pekerjaan, dan kepuasan kerja) serta faktor tidak terkait pekerjaan (usia, pendidikan, waktu komuter, kebiasaan merokok, kebiasaan olahraga dan durasi tidur). Rekomendasi untuk perusahaan meliputi penyesuaian jam kerja, peningkatan dukungan sosial, dan program promosi kesehatan untuk mengurangi kelelahan kerja
Work-fatigue, characterized by exhaustion and diminished functional capacity in occupational settings, represents a significant concern due to its detrimental effects on productivity and workplace safety. This issue is particularly prevalent among security personnel (SATPAM) who endure extended working hours and substantial workloads. This study examines occupational and non-occupational risk factors contributing to work fatigue among security personnel employees at PT. XYZ. The study employs a crosssectional design with a sample of 195 respondents selected through proportion hypothesis testing and proportional sampling from 11 work locations. Data collection employed the standardized Industrial Fatigue Research Committee (IFRC) subjective fatigue assessment tool, with subsequent analysis conducted via logistic regression. Findings revealed that 70.8% of participants experienced moderate to severe work fatigue. Significant occupational risk factors included: work tenure (OR=2.229; p=0.012), shift duration (OR=2.368; p=0.023), workload intensity (OR=3.869; p=0.015), organizational role clarity (OR=2.645; p=0.002), workplace social support (OR=2.045; p=0.028), job demands (OR=2.192; p=0.032), and job satisfaction (OR=7.344; p=0.008). Significant non-occupational factors included: age (OR=2.735; p=0.002), educational level (OR=2.602; p=0.015), commuting duration (OR=2.039; p=0.025), smoking behavior (OR=3.844; p=0.013), exercise habits (OR=2.800; p=0.022), and sleep duration (OR=1.885; p=0.004). In contrast, risk factors such as gender, body mass index, and marital status were not significantly associated with work fatigue. These results underscore the multifactorial nature of work fatigue among security personnel, influenced by both job-related factors (length of service, working hours, workload, organizational role, social support in the workplace, job demands, and job satisfaction) as well as nonjob-related factors (age, education, commuting time, smoking habits, exercise habits, and sleep duration). Organizational interventions should prioritize work schedule optimization, enhanced psychosocial support systems, and comprehensive workplace health initiatives to mitigate fatigue-related risks.
