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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
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.
Computers are work tools that are familiar to office workers. This activity can increase the risk of discomfort to body and become musculoskeletal pain. This study aims to analyse the relationship of individual factors (posture, age, sex, and body mass index) and work environment (temperature and lighting) on occurrence of work-related musculoskeletal disorders at PT. X. This paper is also assessing the ergonomics of work station at PT. X based on PERMENKES no. 48 of 2016 concerning Office K3 Standards. The design of this study was cross-sectional with 42 workers and direct observation. 61.9% of workers experienced pain in the body during the last 1 month. The results of Nordic Body Map questionnaire show the most pain occurrence are at point 5 (back) as much as 57,7%, point 7 (waist) as much as 53,8%, and point 0 (upper neck) as much as 46,2%. Through quantitative analysis, it is known that on the individual factors, only the body mass index factor has a correlation (rho = 0,330 = moderate positive correlation) and significant (p-value = 0,033) on pain occurrence. Meanwhile, on the work environment factor, only the lighting factor has correlation (rho = -0.323 = moderate negative correlation) and significant (p-value = 0.037) on pain occurrence. Work station at PT. X needs some improvements because an unergonomic work station can be one of the contributors of work-related musculoskeletal disorders occurrence complaints among workers
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.
Kata kunci: stres kerja, stressor, faktor organisasi
This research is about the analysis of related factors that generate stress atworkplace on PT. X. According to Robbins (2006) suggests there are three categories ofpotential stressors which are derived from environmental, organizational, and individualfactors. Supported by a theory, developed by Health, Safety, and Executive (2007), thereare six aspects in management standards that are related to stress at workplace. Based onthis, it can be said that management standards and individual characteristics are factorsthat generate stress at workplace.This is the descriptive analytic with cross sectional design studies. Independentvariables which include on this reasearch are management standards (demands, control,support, relationships, role, and change) and individual characteristics (age, sex,education, marital status, years of service). Dependen variables which include on thisresearch is the incident of stress, experienced by workers at PT. X. With 136 respondents,researcher used chi-square for bivariate analysis. The result, 25 workers (18.4%)experienced severe stress level, 43 workers (31.6%) experienced moderate stress level,39 workers (28.7%) experienced a low stress level, and as many as 29 workers (21.3%)not having a stressed level. Individual characteristics that are proven to be associated withstress events are education level and marital status. Whereas, all management standardsare proven to be related stress at workplace in PT. X.
Keywords: work stress, stressor, management standards.
Metabolic syndrome has a large impact on the health condition of workers, this can increase costs incurred by the company and lead to loss of productivity it is necessary to research the risk factors for metabolic syndrome in office workers at PT X which is expected to prevent and control the prevalence of metabolic syndrome in order to reduce risk factor of metabolic syndrome in future. This research was conducted on office workers at PT X with 106 research respondents during February - August 2020 in Jakarta. PT X is an engineering service provider of the Indusrial Automation that has clients in several process industries whose daily activities are sedentary. The design of this research study uses cross sectional method. The aim is to determine the relationship between the dependent variable (individual risk factors and occupational risk factors) with the independent variable Metabolic Syndrome. The results showed that the proportion of metabolic syndrome is 4,97% which the highest metabolic syndrome component was found in high triglycerides 20,4%, low HDL levels is 14,9% and had abdominal obesity is 14,4%. Which had 1 symptom of metabolic syndrome criteria is 25,4% and which had 2 symptoms of metabolic syndrome criteria are 8,3%. Although the analysis found no significant results on the relationship of individual factors and occupation of the metabolic syndrome, but on some individual risk factors such as smoking have a risk of 3,35 times greater than not smoking, and higher education levels 2,44 times higher risk compared to lower education levels.