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Some major accidents on offshore platforms are caused by a lack of awareness and fatigue experienced by workers. Fatigue and lack of awareness in some literature is caused by a lack of good quality and quantity of sleep. The quality and quantity of sleep is affected by the sleep hygiene practiced by workers, the conditions of accommodation and work shifts performed. This study aims to observe of the quantity and quality of sleep, the relationship between sleep hygiene and the quality and quantity of sleep, and to observe the relationship between sleep quality and the aspects of alertness and fatigue experienced by workers. The research was conducted at the offshore platform of PT. X, with 24 workers responding to the questionnaire, and 22 workers using actigraphy tools. Actigraphic data collection was carried out for 14 working days and divided into three different shift groups. From the PSQI 63.1% of respondents had poor sleep quality and 36.9% of respondents had good sleep quality. The lowest average sleep duration based on data collection with actigraphic devices was obtained during the night shift (300 minutes), while the highest sleep duration was obtained by non-shift workers (358 minutes). Actigraphy data shows that the average sleep duration with HVAC A longer than using HVAC B. There were 59.5% of respondents experiencing normal fatigue and 40.5% of respondents experiencing mild fatigue. Almost all respondents had good sleep hygiene (95.2%) and there was no relationship between sleep hygiene and sleep quality. There was no relationship between sleep quality and worker alertness (p-value:0,466). And there is no relationship between sleep quality and worker fatigue (p-value: 0.062)
Kata kunci:Kuantitas Tidur, Kualitas Tidur, Sleep Deprivation, Accident
The study of sleep deprivation has only recently been seen based on statements fromresearch respondents, victims and eyewitnesses who are very subjective. The highnumber of accidents arising from sleep deprivation and the difficulty of finding objectivedata on the actual quantity and quality of sleep experienced by workers, especially shiftoperator hauling truck workers is still a big problem, especially in the field of OHS science.This is a cross sectional study. The variables of this study are quantity of sleep, qualityof sleep, salivary alpha amylase, blood pressure, heart rate, blood oxygen levels, bodytemperature, sleep hygiene, individual characteristics and workload. Research conductedfor 1 month in mining company in Indonesia. The average sleep duration of Fitbit onhauling truck operator with 2 shift pattern is 149 minutes or 2 hours 29 minutes while in3 shift pattern is 182 minutes or 3 hours 8 minutes. Quality of sleep on hauling truckoperator with 2 shift pattern is 13% in REM, 38% in light sleep and 12.7% in deep sleep.While the pattern of 3 shifts is 14.2% in REM, 44.7% in light sleep and 13.1% in deepsleep.
Key words:Quantity of Sleep, Quality of Sleep, Sleep Deprivation, Accident.
Kata Kunci: Kelelahan; Fatigue Assessment Scale (FAS); Shift Kerja; Tidur; Fitbit
Operator haul truck Haul truck operator is one of the high-risk occupations in experiencing fatigue caused by the implementation of shift work, sleep quantity and quality disturbance, other related factors. The objective of this study was to analyze the relationship between shift work, quantity and quality of sleep, and other factors associated with fatigue on the haul truck operator. A cross-sectional study was conducted in this study using questionnaires of Fatigue Assessment Scale (FAS), measurement of stress using cocorometer, and measurement of sleep quantity and quality using fitbit among 196 male respondents who work as haul truck operator. The result of this study shown there is a significant correlation between the quantity of sleep (OR = 3,222, p = 0,028) and fatigue, also between the quality of sleep (OR = 2,800, p = 0.025) and fatigue. However, shift work has no significant correlation with fatigue. Other factors, including mental workload (OR = 2,296, p = 0,027), work environment (OR = 2,400, p = 0,014), monotonous work (OR = 3,371, p = 0,002), age (OR = 2,708, p = 0,005), and sleep hygiene (OR = 3,840, p = 0,001) also have significant correlation with operator fatigue in PT X.
Keywords: Fatigue; Fatigue Assessment Scale (FAS); Shift Work, Sleep; Fitbit; Haul truck operator
Kata kunci: Sleep hygiene, Kesehatan kerja, Pengemudi Truk
The driver is one of the complex jobs involving perception, sensorimotoric coordination as well requires vigilance and decision-making. Unnecessary working hours will affect the quantity of sleep and the quality of their sleep. The purpose of this study was to look at the effect of sleep hygiene on the quantity of sleep and the sleep quality of truckload drivers. A cross-sectional study design was used in this study using the Pittsburgh Sleep Quality Index (PSQI) questionnaire of 45 male drivers. It was found that 25 drivers (55,6%) got poor sleep hygiene score, with the number of drivers who experienced less sleeping quantity as many as 13 people (52%) and poor sleep quality as many as 14 people (56%). In conclusion sleep hygiene gives good influence on the quantity of sleep and sleep quality truck drivers at PT. X although in this study there is no significant relationship.
Key words: Sleep hygiene, Occupational Health, Truckload drivers
Professional drivers with monotonous work characteristics with long mileage andlong driving duration even past supposed rest periods so as to conflict with naturalcircadian rhythms, as well as continuous driver seats along the way may cause driverfatigue. This condition is exacerbated by the lack of quantity of sleep as well as poor sleepquality and sleep hygiene drivers. The driver at PT. X has the task of distributing fuelusing a tank with a capacity of 16,000 L with an average mileage taken over 300 km andthe duration of travel more than 8 hours. These various conditions can cause fatigue inthe driver of PT. X. Analytical research with cross-sectional design is aimed to analyzethe relationship between the quantity of sleep, sleep quality, sleep hygiene, drivingduration and mileage with driver truckload fatigue at PT. X. Research conducted inFebruary to June 2018 uses several data collection tools, namely: questionnaires,tensimeter, oximeter and smartwatch fitbit tool. Data analysis used mean difference testand chi square test. From the different test mean known that there is fatigue work on thedriver PT. X after driving. From chi square test obtained that there is relation betweenquantity of sleep, sleep quality, sleep hygiene and mileage with fatigue of driver of goodscargo at PT. X.
Offshore activities have high risk. Phase hook-up, pre-commissioning and commissioning with various characteristics of work including lifting, welding and testing required concentration. PT X has two near misses and three property damage with root cause showed fatigue symptoms. This research purpose to overview fatigue and identify affecting factors of fatigue offshore contractor workers in phase hook-up, pre-commissioning and commissioning. Used questionnaire such as Fatigue Assessment Scale (FAS), Pittsburgh Sleep Quality Index (PSQI), Sleep Hygiene Index and Pulse Oximeter instrument with observational analytical methods, cross-sectional study design. Sample taken from workers population of 153 workers. Obtained data are analyzed with quantitative approaches, data analysis using univariate, bivariate and multivariate analysis. Normality test used kolmogorov smirnov test, statistical test used chi-square with 95%CI, multivariate logistic regression. Fatigue measurement prior work showed that 27,5% workers had fatigue. Subjective after work and objective fatigue measurement showed that majority of workers have fatigue by 53,6% and 52,9%. Affecting factors of fatigue offshore contractor workers are age, nutritional status, health conditions, sleep quantity, sleep quality, sleep hygiene, workload and roster design. Dominant factor that has opportunity affecting subjective fatigue is sleep quality, while the dominant factor that has opportunity affecting objective fatigue is workload
Work shift to be one solution to increase productivity. However, with the existence of this work shift, will cause various impacts one of them is the disruption of circadian rhythm which will cause decrease of quality and quantity of worker sleep, so that impact on worker fatigue. This study aims to see the correlation shift work, the quantity of sleep quality and fatigue risk factors to fatigue. The study used an observational approach with cross-sectional study design conducted on campus security guards universitas indonesia in the period may to june 2017 with a sample of 150 respondents. Used in this study are the industrial fatigue research committee (ifrc) and the sleep sleep quality index (psqi) questionnaires, as well as objective measurements of the quantity of sleep quality through the actigraph (fitbit blaze ) tool. The results showed that there was a correlation between sleep hygiene and sleep quantity of the workers of the ui campus security officer with p-value 0.044 and there was a correlation between work fatigue with sleep hygiene by showing p-value of 0.006
Resiko bekerja di perusahaan migas PT X yang berlokasi di offshore Natuna adalah relatif tinggi. Sepanjang tahun 2018 – 2023 terjadi fluktuasi kecelakaan kerja di PT. X. Bahkan setelah dua tahun (tahun 2020 dan 2019) tidak terjadi kecelakaan kerja untuk kategori recordable injury (kasus di atas FAC), di tahun 2021 terjadi lagi 3 kasus (1 RWDC dan 2 MTC) dan di tahun 2022 terjadi 4 kasus (1 LWDC, 1 RWDC, dan 2 MTC). Di tahun 2023 terjadi 1 kasus (1 RWDC). Korban kecelakaan kerja di tahun 2021 didominasi oleh pekerja kontrak dan pekerja tetap sedangkan kecelakaan kerja di tahun 2022 dan 2023 semuanya terjadi pada pekerja kontrak. Sebagian besar kecelakaan yang terjadi penyebab langsungnya adalah unsafe acts. Sampai saat ini belum ada analisis menyeluruh dari data investigasi kecelakaan-kecelakaan yang telah dilakukan PT X untuk mendapatkan faktor-faktor penyebab dasar dari semua kecelakaan tersebut. Dengan demikian, penelitian perlu dilakukan, dan karena berhubungan dengan human factor, maka pada penelitian ini akan dianalisis faktor-faktor yang menyebabkan kecelakaan kerja tersebut dengan metode Human Factor Analysis and Classification System (HFACS). Tujuan: Menganalisis faktor-faktor yang memengaruhi kecelakaan kerja di PT X antara tahun 2018 – 2023 dengan metode HFACS. Metode: Penelitian ini adalah penelitian deskriptif analitik dengan pendekatan kualitatif. Data sekunder yang digunakan berupa rekaman kejadian kecelakaan dan laporan investigasi atas 41 kecelakaan di PT X. Data sekunder tersebut kemudian diklasifikasikan sesuai dengan empat (4) tahapan kegagalan di metode HFACS, yaitu unsafe acts, precondition of unsafe acts, unsafe supervision, dan organizational influence. Pengklasifikasian ini divalidasi oleh dua ahli keselamatan kerja, di mana hasil validasinya relatif tinggi (96%). Hasil: Hasil penelitian menjelaskan bahwa faktor-faktor HFACS yang mempengaruhi kecelakaan terbesar berturut-turut adalah adverse mental state (51,2%), skill-based error (39%), routine violations (34,1%), dan tools/technological dan resource management (masing-masing 31,7%). Kemudian disusul oleh decision error (29,3%), inadequate supervision (22%), failed to correct problem dan organizational process masing-masing (17,1%), lalu supervisory violation dan organizational climate masing-masing (9,8%). Kesimpulan: Faktor-faktor HFACS yang memengaruhi kecelakaan kerja di PT X dapat digunakan sebagai masukan untuk perbaikan program K3 perusahaan guna menurunkan angka kecelakaan dengan memprioritaskannya pada faktor HFACS yang bersifat latent failure baru kemudian pada faktor active failure-nya, karena latent failure - jika diperbaiki- akan menjadi kunci untuk mencegah berulangnya kecelakaan.
The risks of working for the PT X , an oil and gas company located offshore Natuna are relatively high. Throughout 2018 – 2023 there were fluctuations in work accidents at PT. X. Even after two years (2020 and 2019) there was no work accident for the recordable injury category (cases above FAC), in 2021 there were 3 cases (1 RWDC and 2 MTC) and in 2022 there were 4 cases (1 LWDC, 1 RWDC, and 2 MTC). In 2023 there was 1 case (1 RWDC). Work accident victims in 2021 are dominated by contract workers and permanent workers, while work accidents in 2022 and 2023 all occur in contract workers. Most of the accidents that occur are directly caused by unsafe acts. Until now there has been no comprehensive analysis of accident investigation data that has been carried out by PT X to obtain the basic causal factors of all these accidents. Thus, research needs to be carried out, and because it is related to human factors, this research will analyze the factors that cause work accidents using the Human Factor Analysis and Classification System (HFACS) method. Objective: Analyzing the factors that influence work accidents at PT X between 2018 – 2023 using the HFACS method. Method: This research is descriptive analytical research with a qualitative approach. The secondary data used is in the form of recordings of accidents and investigation reports on 41 accidents at PT X . This classification was validated by two occupational safety experts, where the validation results were relatively high (96%). Results: The research results explain that the HFACS factors that influence the biggest accidents are adverse mental state (51.2%), skill-based errors (39%), routine violations (34.1%), and tools/technological and resources, respectively. management (31.7% each). Then followed by decision errors (29.3%), inadequate supervision (22%), failed to correct problems and organizational processes respectively (17.1%), then supervisory violations and organizational climate respectively (9.8%). Conclusion: The HFACS factors that influence work accidents in PT X can be used as input for improving the company's H&S program to reduce the number of accidents by prioritizing the HFACS factors which are latent failures and then the active failure factors, because latent failures - if corrected - will become key to preventing recurrence of accidents.
