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Tujuan: Menganalisis tingkat distres kerja dan faktor-faktor yang berhubungan terhadap tingkat distres pada mekanik di PT. X. Metode: Penelitian menggunakan desain studi cross sectional, dilakukan pada seluruh mekanik di PT. X sejumlah 37 pekerja, dan analisis data menggunakan uji chi square serta regresi logistik.
Hasil: Faktor yang berhubungan terhadap tingkat distres adalah budaya dan fungsi organisasi, hubungan interpersonal, tekanan kerja, work family conflict, desain tugas, jadwal dan jam kerja, intensitas olahraga, kecemasan, pengendalian emosi, serta kebiasaan merokok. Faktor pengendalian emosi paling berpengaruh terhadap distres dengan Exp(B) 0,34. Kesimpulan: Berbagai faktor memiliki hubungan terhadap tingkat distres pada mekanik di PT. X sehingga perlu dilakukan tindakan yang mampu menurunkan risiko distres seperti pengaturan lembur dan pemberian pelatihan
Background: Distress is a negative form of psychosocial. It can be caused by work factors, family and social factors, and individual factors. Several cases indicate the occurrence of mechanical distress at PT. X. The indications showed from the physiological, psychological, behavioral, and cognitive symptoms that arise from the workers.
Objective: To analyze the associated factors with distress level of mechanics at PT. X. Methods: Used a cross sectional design study, carried out on all mechanics at PT. X with number of 37 workers, data analysis using chi square test and logistic regression.
Results: Factors related to the distress level are organizational culture and function, interpersonal relationships, work pressure, work family conflict, task design, working hours and scheduler, exercise intensity, anxiety, emotional control, and smoking habits. Emotional control factor has the most associated on distress with Exp(B) 0.34. Conclusion: Various factors have a relationship with the distress level of mechanics at PT. X so it is necessary to take actions that can reduce the risk of distress such as overtime program and providing training
Tenaga kesehatan merupakan salah satu profesi yang berisiko mengalami distres, dapat disebabkan oleh beberapa faktor seperti faktor individu, pekerjaan, sosial dan lingkungan kerja. Jika tidak ditangani dengan baik, distres tersebut bisa mengakibatkan gangguan kesehatan, mental dan penurunan produktivitas. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi distres pada tenaga kesehatan di RSUD Cibinong. Metode yang digunakan adalah penelitian kuantitatif dengan desain studi cross-sectional dianalis menggunakan uji statistik chi-square dan regresi logistik. Variable dependen tingkat distres dan variabel independen terdiri dari faktor individu, faktor pekerjaan, faktor sosial, dan lingkungan kerja. Periode penelitian bulan April – Mei 2025, responden terdiri dari perawat, bidan, ahli gizi, tenaga kefarmasian, apoteker, dan analis laboratorium di ruangan rawat inap RSUD Cibinong Bogor. Ditemukan bahwa beban kerja dan hubungan interpersonal merupakan faktor risiko yang paling berpengaruh terhadap tingkat distres pada tenaga kesehatan di RSUD Cibinong Bogor, dimana beban kerja yang berat berpeluang 4.2 kali menyebabkan tingkat distres dibandingkan dengan beban kerja yang ringan dan hubungan interpersonal yang baik dapat menurunkan tingkat distres sebesar 78.6%. Rekomendasi dari penelitian ini adalah melakukan monitoring dan evaluasi terkait beban kerja, memfasilitasi sarana dan prasarana pendukung untuk meringankan beban kerja, menyelenggarakan pelatihan berkelanjutan terkait ergonomi, manajemen stres, menyediakan wadah penyampaian aspirasi, keluhan atau masalah interpersonal di tempat kerja secara aman dan rahasia.
Healthcare workers are one of the professions at risk of experiencing distress, which can be caused by several factors such as individual, work, social and work environment factors. If not handled properly, such distress can lead to health and mental disorders and decreased productivity. This study aims to identify factors that influence distress in health workers at Cibinong Hospital. The method used was quantitative research with a cross-sectional study design analyzed using chi-square statistical test and logistic regression. The dependent variable is the level of distress and the independent variables consist of individual factors, work factors, social factors, and work environment. The research period was April - May 2025, the respondents consisted of nurses, midwives, nutritionists, pharmaceutical workers, pharmacists, and laboratory analysts in the inpatient room of the Cibinong Bogor Regional Hospital. Found that workload and interpersonal relationships are the risk factors that most influence the level of distress in healthcare workers at Cibinong Bogor Regional Hospital, where heavy workload has a 4.2 times chance of causing distress compared to light workload and good interpersonal relationships can reduce the level of distress by 78.6%. Recommendations from this study are to conduct monitoring and evaluation related to workload, facilitate supporting facilities and infrastructure to ease workload, organize ongoing training related to ergonomics, stress management, provide a forum for the delivery of aspirations, complaints or interpersonal problems in the workplace in a safe and confidential manner.
The Covid-19 pandemic has become a challenging situation for health workers because it places them as a population at high risk for infection and getting problems related to working conditions that affect the level of distress. This study aims to analyze the factors associated with the level of distress among health workers in Pandeglang during the Covid-19 pandemic. This study uses a cross-sectional study design that was conducted in October-December 2021. The population in this study were all health workers in Pandeglang who worked in hospitals, public health centers, and clinics. The distress level is measured using the Pandemic-Related Perceived Stress Scale of COVID-19 (PSS-10-C). Data are analyzed using Chi-square and multiple logistic regression. Health workers have low (30.49%) and moderate (69.51%) levels of distress. Multiple logistic regression analysis showed that the dominant factors associated with the level of distress are the availability of PPE and the support of colleagues. Health workers in Pandelang experienced low and moderate levels of distress during the Covid-19 pandemic. An adequate supply of PPE and a clear division of tasks among co-workers are needed to prevent an increase in the level of distress for health workers during the Covid-19 pandemic
Work distress is a physical and emotional negative response to the discrepancy between job demands, resource and abilities of workers, which can has many impact on physiological and psychological conditions of workers. Public special education teacher is one of the professions that are prone to work distress because their jobs are different from other formal schoolteachers and have high job demands and pressures. This study aims to describe the conditions of work distress and analyze the factors related to work distress for public special education teachers in Jakarta Selatan. This study conducted on teachers from four public special educations in Jakarta Selatan so that the sample size used was total sampling, which was 199 respondents. The study method used is quantitative with cross-sectional design study and uses instrument adapted from NIOSH Generic Job Stress Questionnaire. From 199 respondents, only 186 respondents were willing to filled the questionnaire so the results showed that 84 respondents (45,2%) experienced work distress and 102 respondents (54,8%) did not experience work distress. The factors related to work distress through Chi-Square test were age (P value = 0,034), marital status (P value = 0,022) and role ambiguity (P value = 0,015).
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.