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The research was conducted on workers Sales Promotion Girl (SPG) in XShopping Centre, Depok City which aims to explain the level of ergonomic risk for CTDsevents experienced workers. SPG CTDs due to working in a supermarket or at the mall -mall more are required to stand up and move on to do the job. In addition, they are alsorequired to use the high-heeled shoes at work. Occupational risk assessment using theRapid Entire Body Assessment (REBA) and earned 2 activity that has a very high riskactivity after finish the product on the shelf with the squat position and activities checkstock products with a squatting position. Activities with a high risk activity is writingbooks with bent position without the use of tables and activity after finish products inyour standing position. Control measures are carried out to a very high risk that is bymaking changes to the whole working application, whereas for high risk control with theinvestigation conducted and changes in working posture and the environment. Based onthe Nordic Body Map SPG worker body parts shopping Depok city X in 2012 the mostexperienced symptoms of CTDs are right calf and left (83.33%), right and left leg (56.67).Efforts can be made to reduce the level of risk is to adjust the height of the table withhigh workers, changing the design layout, use a flat shoe.Key words: ergonomic, CTDs, REBA, Nordic Body Map.
Kata kunci: kelelahan, pemadam kebakaran, faktor risiko kelelahan.
Work Fatigue is a physical or mental condition that occurs to workers and negatively affects their work performance. This study discusses the contributing factors for the occurrence of Subjective Work Fatigue in Bogor City firefighters in 2019. The number of respondents studied was the entire population, which is 54 workers. Measurement of fatigue using a questionnaire in the form of fatigue symptoms originating from the Industrial Fatigue Research Committee (IFRC) and the results showed that 36 workers (66.6%) experienced mild fatigue and 18 workers (33.3%) experienced moderate fatigue. The research design used was cross sectional using the quantitative method (Chi-square) and odd ratio to determine the degree of relationship between two variabels. The results of this study indicate the absence of variabels that have a significant relationship to the occurrence of fatigue.
Keywords: fatigue, firefighters, fatigue risk factor
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.
Accidents related to traffic and incidents related to vehicles are the main causes of accidents in mining areas. One of the causes is fatigue on mining truck operators. This study was conducted to describe subjective fatigue and analyze risk factors related to subjective fatigue in coal mining vehicle operators in mining and hauling area of PT Adaro Indonesia. The risk factors studied included non-work-related risk factors (age, nutritional status (BMI), neck circumference, health complaints, sleep quantity, and sleep quality) and work-related risk factors (work area, length of work, shift work, commuting time, and work environment, especially temperature, noise, vibration, and lighting). The study was conducted from February to July 2022. The data used in this study came from a questionnaire distributed online, which included a questionnaire on individual and job characteristics, the Fatigue Assessment Scale (FAS), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using descriptive analysis and inferential analysis with chi-square test and multiple logistic regression test for prediction models. The minimum sample size in this study was 436 operators, but the data that were successfully analyzed were 440 respondents. The results showed that as many as 130 operators (29.5%) experienced subjective fatigue. The results of inferential statistical analysis using the chi-square test showed that there was a significant relationship between risk factors not related to work, namely nutritional status (fat and obesity BMI), health complaints, and sleep quality on subjective fatigue in operators. The results of inferential statistical analysis also show that there is a significant relationship between work-related risk factors, namely working period, temperature, noise, vibration, and lighting, and subjective fatigue on operators. Meanwhile, the results of inferential analysis using multiple logistic regression test predictive models indicate that sleep quality is the most dominant variable associated with subjective fatigue in operators.
Kata kunci : tingkat pencahayaan, keluhan subjektif, kelelahan mata
Administrative activities in office such as writing, reading, typing and using computers are work that are done repetitively and require adequate lighting levels. This study aims to analyze the lighting level and subjective complaints of eye fatigue in workers in the office of PT. XYZ in 2017. The independent variables in this study are the lighting level, age, duration of employment, refractive abnormalities, risky behavior, duration of work, contrast, and monitor screen display. While the dependent variable is subjective complaints of eye fatigue. This research was conducted to 45 workers with cross sectional study design. From the measurement of ligthing level using lux meter, 80% work area is known to not meet the standard of Permenkes. 48 of 2016, where 82.2% of workers are experiencing eyestrain due to insufficient level of lighting. The results of this study did not show any significant relationship between individual characteristics (age, duration of work, refractive abnormalities, risky behavior to eye health), occupational factors (duration of work, contrast, monitor screen display) and lighting level with subjective complaints of eyestrain on workers.
Keywords: lighting level, subjective complaints, eyestrain
