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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
Kata kunci: Kelelahan, Faktor Risiko, Pemadam Kebakaran.
Fatigue is a feeling of constant tiredness that can reduce the ability to perform a task in a safe and effective way. Firefighters work in 1x24 hours shift, this increase the risk of fatigue among workers. The aim of this study is to determine the risk factors related to fatigue in firefighters. The dependent variable in this study is the level of fatigue on firefighters. The independent variables in this study are divided into non-work-related factors (age, commuting time, sleep quantity, sleep quality, health condition and Body Mass Index (BMI)) and work-related factors (work period, other job and work variations). The sample of this study are a total of 56 firefighters. The data was collected subjectively using questionnaires. This study used Subjective Self Rating Test by IFRC to determine the level of fatigue and Pittsburgh Sleep Quality Index to determine the sleep quality. This study used Cross Sectional design to determine the relationship between the dependent and independent variable. Methods that used is quantitative (Chi-square) and odd ratio to determine the relationship level of the variables. Result showed 85,7% workers experienced low level of fatigue and 14,3% experienced moderate level of fatigue. Based on these results in line with the number of fire cases during the last month there were only 16 cases so that the workload of firefighters is not heavy. The results showed there is a relationship between workers fatigue and work period (OR= 7.2), health condition (OR = 5.0), sleep quantity (OR = 5.8), sleep quality (OR = 0.02) and commuting time (OR = 0.08). Therefore, control related to risk factors related to fatigue is needed.
Key word: Fatigue, Risk Factor, Firefighters
Firefighters are at high risk of experiencing fatigue due to the demands of 24-hour readiness, exposure to emergency situations, and substantial physical and psychological demands at work. This study aimed to analyze the level of fatigue and the contributing risk factors among firefighters in City X, 2025. This study employed a cross-sectional study with a simple random sampling method. 138 participants who completed the OFER-15, NASA-TLX, PSS-10, PSQI, and IPAQ-7 questionnaires. The work-related fatigue risk factors examined included workload, work duration, length of service, commuting time, and occupational stress. Non-work-related factors included age, nutritional status, sleep quantity and quality, physical activity, and caffeine consumption. The results indicated that 15.9% of respondents experienced chronic fatigue, 18.8% acute fatigue, and 15.2% inadequate recovery time. 3 out of 5 work-related factors, specifically work duration, length of service, and occupational stress were significantly associated with both chronic and acute fatigue. Chronic fatigue was associated with work duration (p value: 0.028, OR: 3.519), length of service (p-value: 0.045, OR: 0.396), and occupational stress (p value: 0.015, OR: 4.969), while acute fatigue was linked to work duration (p value: 0.004, OR: 4.675), length of service (p value: 0.012, OR: 0.284), and occupational stress (p value: 0.037, OR: 3.267). Physical activity was the only non-work-related factor significantly associated with chronic fatigue (p value: 0.041, OR: 2.917). These findings highlight the need for fatigue prevention programs tailored to job types and individual conditions.
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.
The object of this study is nurses in RS X East Jakarta who are at risk having workrelated stress and fatigue due to their task. The purpose of this study is to identify thephysical factors, psychosocial factors and environment factor of work related stress andfatigue. Population of the study is 149 people, and the sample is 87 responded. Thedesign used in this study is cross-sectional design by conducting the observation,sharing questionnaires and do the test of Salivary Amylase Activation (SAA) withCocorometer (Nipro Cocoro), the test of time reacting with Sleep 2 Peak application ona mobile phone and environment factor (lighting) with Luxmeter. The tools used in thisstudy are Quick Exposure Checklist to assess physical factors, NIOSH Generic JobStress to assess psychosocial factors and Salivary Amylase Activation teststo assesswork related stress and fatigue among nurses. Fatigue subjective measurement usestools from Swedish Occupational Fatigue Inventory (SOFI). Physic factors (back static,back movement, shoulder/arm, wrist/hand and neck), psychosocial factors (job demand,shift work, career development, social support, role in the organization, and jobsatisfaction) and environment factor (lighting) are the independent variables of workrelated stress and fatigue which are the dependent variable in this study. The result ofthis study is female (70,1%), married (83,9%), average age 36 years old and workingperiod for 134 months (11 years). The result of this study shows that risk factor(married) has a correlation with fatigue Pvalue 0,05 (OR=4, 20), years of service hascorrelation with fatigue Pvalue0, 05 (OR=3, 26). Physic factors (back movement) havecorrelation with stress Pvalue 0,05 (OR=4, 37), Physic factors (shoulder/arm) has acorrelation with stress Pvalue 0,05 (OR=2, 90), job demand has correlation with fatiguePvalue 0,05 (OR=3, 85) psychosocial factors (job satisfaction) have correlation withfatigue Pvalue (OR=0, 24).
Stres kerja adalah respon buruk seseorang secara fisik maupun emosional, ketika kompetensi pekerja tidak mampu memenuhi tuntutan pekerjaan yang diberikan. Berdasarkan penelitian terdahulu, pekerja di industri garmen juga memiliki risiko mengalami stres kerja. Penelitian ini bertujuan untuk menganalisis hubungan antara faktor risiko psikosisal dengan kejadian stres kerja pada pekerja PT X, sebuah perusahaan garmen di Semarang, Jawa Tengah. Faktor yang diteliti antara lain faktor individu, faktor konten kerja, faktor konteks kerja, dan faktor effort-reward. Penelitian ini menggunakan pendekatan mixed method dengan desain studi the explanatory sequential. Pengumpulan data kuantitatif dilakukan dengan penyebaran kuesioner dan wawancara dilakukan untuk pengumpulan data kualitatif. Pengolahan data menggunakan uji chi-square dengan software SPSS 27.0 untuk mengetahui apakah ada hubungan yang siginifikan antara variabel independen dengan variabele dependen. Berdasarkan uji statistik, didapatkan prevalensi stres kerja sebesar 24,9% pada responden secara keseluruhan, sebesar 26,5% pada tim produksi, dan 18,2% pada tim supporting. Variabel yang berhubungan dengan stres kerja pada pekerja secara keseluruhan antara lain: lingkungan dan peralatan kerja (p= 0,004); desain tugas (p= 0,042); beban kerja (p= 0,001); jadwal kerja (p= 0,001); pengembangan karir (p= 0,001); hubungan interpersonal (p= 0,034); status pernikahan (p= 0,003); dan effort-reward (p= 0,002). Oleh karena itu, perlu dilakukan tindak lanjut berupa penerapan manajamen stres kerja dari tingkat manajemen, terutama pada faktor yang berhubungan dengan stres kerja, untuk mencegah kejadian stres kerja yang lebih besar.
Work-related stress was an bad someone physically or emotionally, when workers ability unable to meet the demands of jobs provided. Based on the research before, workers in the garment industry also have the risk of experiencing work stress. This study attempts to analyze the relationship between the psychosocial risk factors with work stress on workers PT X, a garment company in Semarang, Central Java. The individual factors, the content of work factors, the context of work factors, and the effort-reward factors was included in this study. Mixed method were used with the explanatory sequential design study. Quantitative data collected by using questionnaire and interviews performed for qualitative data collection. Data processing uses a chi-square test with software SPSS 27.0 to analyze if there's any significant connection between independent variables and dependent variable. By statistical test, prevalence of work stress prevalence is 24.9 % on all respondents, 26.5 % on production team, and 18.2 % on supporting team. Variables associated with work stress include: environment and work equipment (p = 0.004 ); task design (p = 0,042 ); workload (p = 0.001 ); work schedule (p = 0.001 ); career development (0.001 ); interpersonal relationship (p = 0.034 ); marital status (= 0.003); and effort-reward factor (p = 0,00). Based on this research, the company needs to implemented stress management program, especially on the factors associated with work stress, to prevent more stress from happening. Keyword: work stress, psychosocial risk factor, the garment company, production team, supporting team
