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Data Kementerian ESDM mencatat 93 kecelakaan di area pertambangan pada tahun 2021, dengan 36 kecelakaan ringan dan 57 kecelakaan berat, merenggut 11 korban jiwa. Tahun 2019 menjadi tahun terburuk dengan 133 kecelakaan (27 ringan, 106 berat) dan 24 korban jiwa. Penelitian ini bertujuan untuk mengetahui hubungan kualitas tidur dengan kelelahan kerja setelah dikontrol oleh variabel confounding pada operator alat berat industri pertambangan PT.X Site A 2024. Metode yang digunakan pada penelitian ini adalah penerapan rancangan cross-sectional. Studi ini melibatkan 213 pekerja yang diminta untuk mengisi kuisioner. Analisis data dilakukan menggunakan uji multivariat analisis faktor risiko. Hasil penelitian menunjukkan bahwa 49,3% pekerja mengalami kelelahan kerja pada tingkat berat, sedangkan 50,7% responden mengalami kelelahan kerja pada tingkat ringan. Hasil penelitian menunjukkan terdapat hubungan antara kualitas tidur dengan kelelahan kerja (p value=0,011). Pekerja yang memiliki kualitas tidur buruk berisiko 2,38 kali untuk mengalami kelelahan kerja berat dibandingkan pekerja yang memiliki kualitas tidur baik setelah dikontrol oleh variabel masa kerja, waktu perjalanan, lingkungan tidur, dan faktor psikososial (overcommitment) (aOR=2,38 95% CI 1,22 – 4,65). Kata kunci: kelelahan kerja, kualitas tidur, operator alat berat, pertambangan
Data from the Ministry of Energy and Mineral Resources (ESDM) recorded 93 accidents in mining areas in 2021, with 36 minor accidents and 57 serious accidents, claiming 11 lives. The year 2019 was the worst year with 133 accidents (27 minor, 106 serious) and 24 fatalities. This research aims to determine the relationship between sleep quality and work fatigue after controlling for confounding variables in heavy equipment operators in the mining industry of PT.X Site A 2024. The method used in this research is the application of a cross-sectional design. This study involved 213 workers who were asked to fill out questionnaires. Data analysis was performed using multivariate risk analysis. The results of the study showed that 49.3% of workers experienced severe work fatigue, while 50.7% of respondents experienced mild work fatigue. The results of the study showed that there is a relationship between sleep quality and work fatigue (p value = 0.011). Workers with poor sleep quality were 2.38 times more likely to experience severe work fatigue compared to workers with good sleep quality after controlling for work experience, travel time, sleep environment, and psychosocial factors (overcommitment) (aOR = 2.38 95% CI 1.22 – 4.65). Keywords : work fatigue, sleep quality, heavy equipment operators
Kelelahan kerja (fatigue) merupakan sebuah kondisi dimana seorang pekerja/tenaga kerja tidak bekerja secara maksimal dan mengalami penurunan produktivitas. International Labour Organization (ILO) (2016) mengatakan bahwa sebanyak 32% pekerja/tenaga kerja mengalami kasus kelelahan kerja. Selain itu, 27% pekerja/tenaga kerja mengalami kasus kelelahan kerja berat dan 18,3% pekerja/tenaga kerja mengalami kasus kelelahan kerja sedang. Kelelahan kerja juga akan dapat menyebabkan penurunan produktivitas kerja, peningkatan risiko pekerja/tenaga kerja melakukan kesalahan, dan peningkatan risiko terjadinya kecelakaan kerja. Desain penelitian pada penelitian ini adalah cross sectional. Tujuan penelitian ini adalah untuk menganalisis faktor risiko kelelahan kerja pada pekerja/tenaga kerja pengelasan di industri minyak dan gas bumi dengan pendekatan kuantitatif. Sampel pada penelitian ini berjumlah 97 pekerja/tenaga kerja welder di PT XYZ. Metode pengambilan data dengan melakukan pengisian kuesioner kepada responden dan melakukan pengukuran menggunakan alat oxymeter, lux meter, sound level meter, dan thermometer dan humidity meter. Data akan diolah secara deskriptif dan inferensial untuk melihat gambaran dan hubungan dari setiap variabel. Variabel independen pada penelitian ini adalah faktor individu (usia, masa kerja, kebiasaan merokok, dan waktu istirahat), faktor pekerja/tenaga kerjaan (beban kerja fisik, beban kerja mental, dan durasi kerja harian), dan faktor lingkungan kerja (kebisingan, pencahayaan, dan suhu). Hasil penelitian menunjukan bahwa terdapat hubungan yang signifikan antara kebiasaan merokok (OR=3.100 (1.253 – 7.672)), waktu istirahat (OR=5.913 (2.314–15.110)) , beban kerja fisik (OR=3.529 (1.509 - 8.256)), beban kerja mental (OR=2.658 (1.144–6.180)), kebisingan (OR=4.370 (1.844 – 10.354)), dan suhu (OR=4.083 (1.386-12.031)) dengan kejadian kelelahan kerja pada welder di PT. XYZ Sedangkan variabel usia, masa kerja, durasi kerja harian, dan pencahayaan tidak menunjukan adanya hubungan dengan kejadian kelelahan kerja pada welder di PT.XYZ. Kata Kunci: Kelelahan kerja, pekerja/tenaga kerja welder, industri minyak gas dan bumi
Work fatigue is a condition where a worker does not work optimally and experiences decreased productivity. The International Labor Organization (ILO) (2016) said that as many as 32% of workers experience work fatigue. In addition, 27% of workers experience severe work fatigue and 18.3% of workers experience moderate work fatigue. Work fatigue can also cause decreased work productivity, increased risk of workers making mistakes, and increased risk of work accidents. The research design in this study was cross-sectional. The purpose of this study was to analyze the risk factors for work fatigue in welding workers in the oil and gas industry using a quantitative approach. The sample in this study was 97 welder workers at PT XYZ. The data collection method was by filling out questionnaires to respondents and taking measurements using an oxymeter, lux meter, sound level meter, and thermometer & humidity meter. The data will be processed descriptively and inferentially to see the picture and relationship of each variable. The independent variables in this study were individual factors (age, length of service, smoking habits, and rest time), work factors (physical workload, mental workload, and daily work duration), and work environment factors (noise, lighting, and temperature). The results showed that there was a significant relationship between smoking habits (OR=3.100 (1.253 – 7.672)), rest time (OR=5.913 (2.314–15.110)), physical workload (OR=3.529 (1.509 - 8.256)), mental workload (OR=2.658 (1.144–6.180)), noise (OR=4.370 (1.844 – 10.354)), and temperature (OR=4.083 (1.386-12.031)) with the occurrence of work fatigue in welders at PT. XYZ Meanwhile, the variables of age, length of service, daily work duration, and lighting did not show any relationship with the occurrence of work fatigue in welders at PT.XYZ. Keywords: Work fatigue, welder workers, oil and gas
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 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.
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.
