Ditemukan 35765 dokumen yang sesuai dengan query :: Simpan CSV
Febie Karmani Putra; Pembimbing: Robiana Modjo; Penguji: Indri Hapsari Susilowati, Baiduri Widanarko, Fahrur Rozi, Haris Muzakir
Abstrak:
Kelelahan pilot didefinisikan sebagai keadaan fisiologis penurunan kinerja mental atau kemampuan fisik manusia akibat kurang tidur, ritme sirkadian, atau beban kerja yang dapat mengganggu kewaspadaan pilot dan kemampuan mengoperasikan pesawat. Pilot melakukan tugas yang berhubungan dengan keselamatan. Kelelahan menjadi perhatian utama penyebab kecelakaan, penurunan produktivitas dan ketidakmampuan untuk bekerja. Pilot khususnya pilot helikopter memiliki risiko kelelahan yang tinggi dalam menjalankan tugasnya sebagai Tim Pemadam Kebakaran dan Penanggulangan Bencana.. Desain penelitian adalah cross sectional dan pengumpulan data dilakukan dengan menyebarkan kuesioner online menggunakan The Samn-Perelli Crew Status Check dari ICAO. Wawancara mendalam juga dilakukan untuk memperkaya pengalaman kelelahan para pilot. Kuesioner data dikumpulkan dari 57 pilot dan 5 pilot yang diwawancarai pada bulan Februari - April 2021. Kuesioner analisis data dilakukan dengan uji chi-square. Hasil penelitian menunjukkan 56 responden kelelahan tingkat rendah Hasil penelitian juga menemukan hubungan antara kelelahan (P value = 0,006) dengan status kesehatan, dan kelelahan (P value = 0,000) dengan waktu istirahat. Studi saat ini menyimpulkan status Kesehatan dan waktu istirahat berkaitan dengan kelelahan
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T-6271
Depok : FKM-UI, 2021
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Ambar Prawidiyanto; Pembimbing: Hendra; Penguji: Chandra Satrya, Zulkifli Djunaidi, Marhaban, Rudiyanto
T-4561
Depok : FKM-UI, 2016
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Fania Nur Kholifatunisa; Pembimbing: Baiduri Widanarko; Penguji: Abdul Kadir, Tesy Haryati
Abstrak:
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Petugas pemadam kebakaran memiliki risiko kelelahan tinggi akibat tuntutan kesiapsiagaan 24 jam, pajanan situasi darurat, serta beban fisik dan psikologis. Penelitian ini bertujuan menganalisis tingkat kelelahan dan faktor risiko pada petugas pemadam kebakaran Kota X tahun 2025. Penelitian menggunakan desain studi cross-sectional dan simple random sampling. Sebanyak 138 petugas mengisi kuesioner OFER-15, NASA-TLX, PSS-10, PSQI, dan IPAQ-7. Faktor risiko terkait pekerjaan meliputi beban kerja, durasi kerja, masa kerja, waktu perjalanan, dan stres kerja. Faktor risiko kelelahan tidak terkait pekerjaan meliputi usia, status gizi, kuantitas dan kualitas tidur, aktivitas fisik, dan konsumsi kafein. Hasil menunjukkan 15,9% kelelahan kronis, 18,8% kelelahan akut, dan 15,2% kekurangan waktu pemulihan. 3 dari 5 faktor risiko terkait pekerjaan berhubungan signifikan dengan kelelahan kronis dan akut. Durasi kerja (p-value: 0,028, OR: 3,519), masa kerja (p-value: 0,045, OR: 0,396), dan stres kerja (p-value: 0,015, OR: 4,969) berhubungan dengan kelelahan kronis. Sementara itu, durasi kerja (p-value: 0,004, OR: 4,675), masa kerja (p-value: 0,012, OR: 0,284), dan stres kerja (p-value: 0,037, OR: 3,267) berhubungan dengan kelelahan akut. Aktivitas fisik merupakan satu-satunya faktor risiko tidak terkait pekerjaan yang berhubungan dengan kelelahan kronis (p-value: 0,041, OR: 2,917). Dengan demikian, dinas perlu mengembangkan program pencegahan kelelahan berdasarkan jenis pekerjaan dan kondisi individu petugas.
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.
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.
S-12020
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Thias Aulia Ramadhanty; Pembimbing: L. Meily Kurniawidjaja; Penguji: Mila Tejamaya, Agus Wuryanto
Abstrak:
Pemadam kebakaran menerapkan jadwal kerja 1 x 24 jam hal ini memiliki risiko kelelahan pada pekerja. Penelitian ini bertujuan untuk mengetahui gambaran faktor risiko yang berhubungan terjadinya kelelahan pada petugas pemadam kebakaran. Variabel dependen dari penelitian ini adalah tingkat kelelahan pada pekerja pemadam kebakaran. Variabel independen adalah faktor tidak terkait pekerjaan (usia, waktu perjalanan, kuantitas tidur, kualitas tidur, kondisi kesehatan dan status gizi (IMT)) dan faktor terkait pekerjaan (masa kerja, pekerjaan sampingan dan variasi kerja). Sampel dalam penelitian ini adalah 56 petugas pemadam. Pengumpulan data menggunakan kuesioner. Pengukuran tingkat kelelahan menggunakan Subjective Self Rating Test dari IFRC, kualitas tidur diukur dengan kuesioner Pittsburgh Sleep Quality Index. Desain penelitian adalah Cross Sectional, dengan pendekatan kuantitatif. Hasil penelitian menunjukkan 85,7% pekerja mengalami kelelahan ringan dan 14,3% kelelahan sedang. Hasil tersebut sejalan dengan jumlah kasus kebakaran selama sebulan terakhir hanya ada 16 kasus sehingga beban kerja pemadam tidak berat. Kelelahan responden berhubungan dengan masa kerja (OR 7.2), kondisi kesehatan (OR = 5.0), kuantitas tidur (OR = 5.8), kualitas tidur (OR = 0.02) dan waktu perjalanan (OR = 0.08). Oleh karena itu, perlu pengendalian faktor risiko yang teridentifikasi berhubungan dengan kelelahan.
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
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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
S-10475
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Anisah Suci Yanti; Pembimbing: Dadan Erwandi; Penguji: Baiduri Widanarko, Jonsinton Nainggolan
Abstrak:
The tools used in this study are Quick Exposure Checklist to assess physical factors, the combination of psychosocial questionnaire are Effort Reward Imbalance, COPSOQ, NIOSH Generic Job Stress dan NIOSH Quality of Work Life (QWL) to assess psychosocial factors and Salivary Amylase Activation testing to assess work uhrelated stress and fatigue among fire fighters. Fatigue subjective measurement use tools form Sweedish Occupational Fatigue Inventory (SOFI) and Fatigue Assessment Scale (FAS). Physic factors (force, awkward posture and manual handling), psychosocial factors (effort, reward, overcommittment, rolestress, emotional demand, social support and non work related factors) and organisational factors are the independent variables of work related stress and fatigue which are the dependent variable in this study. The result of this study shows that risk factor (neck) has correlation with fatigue (CI 95% 1,75-16,16; OR 5,32), psychosocial factors such emotional demand (CI 95% 1,04-5,78; OR 1,56), rolestress (CI 95% 1,23-4,76; OR 1,52) and family social support (CI 95% 1,27-5,43; OR 2,51) influence stress, organisational factors such type of work (CI 95% 0,05-0,55; OR 0,16), shift work (CI 95% 0,06-0,54; OR 0,18) and status of workers have correlations with stress
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S-9647
Depok : FKM UI, 2018
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Alya Hanifah; Pembimbing: Baiduri Widanarko; Penguji: Abdul Kadir, Tubagus Dwika Yuantoko
Abstrak:
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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
S-11817
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Jhon Martua Malau; Pembimbing: Doni Hikmat Ramdhan; Penguji: Laksita Ri Hastiti, Fahmi Syaiful
Abstrak:
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Kelelahan pengemudi truk menjadi faktor risiko penting di sebagian besar kecelakaan lalu lintas. Statistik menunjukkan kelelahan pengemudi truk menyumbang sekitar 10- 15% dari kecelakaan lalu lintas jalan. Kemungkinan terjadinya kecelakaan lalu lintas pada pengemudi truk yang kelelahan delapan kali lebih tinggi daripada pengemudi truk yang cukup istirahat. Menurut Badan Pusat Statistik (2019), dari tahun 2015- 2019, jumlah kecelakaan lalu lintas di Indonesia mengalami kenaikan rata-rata 4,87 persen per tahun. Korlantas POLRI mencatat jumlah kecelakaan sepanjang 2019 sebanyak 116.411. Jumlah tersebut naik 6,59 persen dibandingkan pada tahun 2018 dengan 109.215 kejadian. Kecelakaan mobil barang menempati posisi ketiga dengan jumlah kecelakaan 5,02 persen atau sekitar 5,822 kejadian. Oleh karena itu, penelitian ini bertujuan untuk mengetahui gambaran tingkat fatigue serta faktor-faktor yang berhubungan dengan keluhan fatigue pada pengemudi truk. Penelitian ini dilaksanakan pada Juli – Oktober 2021 di PT.X sebagai salah satu perusahaan yang bergerak di bidang transportasi. Penelitian ini merupakan penelitian kuantitatif dengan desain studi cross sectional. Sampel penelitian ini adalah 64 pengemudi truk. Data dianalisis dengan uji statistik chi square. Hasil dari penelitian menunjukkan bahwa 89% responden mengalami fatigue sedang dan 11% responden mengalami fatigue tinggi. Dari penelitian ini diketahui ada hubungan antara kualitas tidur, durasi kerja dan beban lingkungan kerja dengan keluhan fatigue pada pengemudi truk (p<0,05). Sedangkan faktor individu berupa usia dan kebiasaan merokok, kuantitas tidur, serta faktor beban mental berupa beban kerja, jadwal kerja diketahui tidak memiliki hubungan dengan keluhan fatigue pada pengemudi truk (p>0,05). Kata Kunci: Kelelahan, Pengemudi Truk, Transportasi, Keselamatan
Fatigue is a significant factor regarding safety issues such as transportation incident. Statistics show truck driver fatigue accounts for about 10 to 15% of serious road traffic accidents. The likelihood of a traffic accident occurring in an exhausted truck driver is eight times higher than for a well rested truck driver. According to the Badan Pusat ix Statistik (2019), During the 2015-2019 period, the number of traffic accidents in Indonesia increased by an average of 4.87 percent per year. Korlantas POLRI recorded the number of accidents throughout 2019 as many as 116,411. The number is up 6.59 percent compared to 2018 with 109,215 events. Accidents on truck cars occupy the third position based on the type of vehicle with the number of accidents 5.02 percent or about 5,822 incidents. Therefore, this study aims to describe the level of fatigue and the factors associated with complaints of fatigue on truck drivers. This research was conducted in July – October 2021 at PT. X as a company engaged in the transportation sector. This research is a quantitative research with a cross sectional study design. The sample in this study were 64 truck drivers. The data were then analyzed by chi square statistical test. The results of the study showed that 89% of respondents experienced moderate fatigue and 11% of respondents experienced high fatigue. From this research, it is also known that there is a relationship between sleep quality, duration of work and work environment load with complaints of fatigue in machinists (p <0.05). While individual factors in the form of age and smoking habits, sleep quantity and mental burden factors in the form of workload, work schedules are known to have no relationship with fatigue complaints among drivers (p>0.05). Keywords: Fatigue, Truck Drivers, Transportation, Safety
T-7519
Depok : FKM-UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Diva Mahardikawati; Pembimbing: Baiduri Widanarko; Penguji: Abdul Kadir, Fatma Lestari, Tubagus Dwika Yuantoko, Bima Haryadi
Abstrak:
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Pekerja konstruksi memiliki risiko tinggi mengalami kelelahan kerja karena karakteristik pekerjaannya yang melibatkan aktivitas fisik berat, durasi kerja panjang, serta paparan lingkungan kerja seperti panas dan kebisingan. Kelelahan kerja dapat berdampak pada penurunan konsentrasi, ketelitian, kecepatan respons, dan human performance pekerja. Penelitian ini bertujuan untuk menganalisis faktor risiko kelelahan kerja dan dampak kelelahan kerja terhadap human performance pada pekerja konstruksi di PT X tahun 2026. Penelitian ini menggunakan desain studi cross sectional dengan jumlah responden sebanyak 113 pekerja konstruksi. Variabel yang diteliti meliputi faktor individu, faktor terkait pekerjaan, dan human performance. Pengumpulan data dilakukan menggunakan kuesioner, pengukuran beban kerja fisik melalui denyut nadi, serta pengukuran lingkungan kerja kebisingan dan suhu. Instrumen yang digunakan meliputi Fatigue Assessment Scale for Construction Workers (FASCW), NASA-TLX, dan Individual Work Performance Questionnaire (IWPQ). Analisis data yang dilakukan adalah analisis deskriptif dan analisis inferensial (analisis bivariat dan multivariat). Hasil penelitian menunjukkan bahwa faktor yang berhubungan dengan kelelahan kerja adalah waktu perjalanan, kuantitas tidur, dan beban kerja fisik dengan nilai p-value masing-masing 0,000. Berdasarkan hasil analisis multivariat, diketahui bahwa terdapat tiga variabel yang memiliki hubungan signifikan dengan kelelahan kerja, yaitu waktu perjalanan, kuantitas tidur, dan beban kerja fisik. Variabel waktu perjalanan merupakan faktor yang paling dominan berhubungan dengan kelelahan kerja dengan nilai OR = 17,057. Kelelahan kerja juga berhubungan signifikan dengan human performance dengan nilai p-value 0,023 dengan nilai OR 2,457. Hal ini menunjukkan bahwa pekerja yang tidak mengalami kelelahan kerja memiliki peluang 2,457 kali lebih besar untuk memiliki human performance tinggi dibandingkan pekerja yang mengalami kelelahan kerja.
Construction workers are at high risk of experiencing occupational fatigue due to the characteristics of their work, which involve heavy physical activity, long working hours, and exposure to work environment factors such as heat and noise. Occupational fatigue may lead to decreased concentration, accuracy, response speed, and workers’ human performance. This study aimed to analyze the risk factors associated with occupational fatigue and the relationship between occupational fatigue and human performance among construction workers at PT X in 2026. This study used a cross-sectional design involving 113 construction workers as respondents. The variables examined included individual factors, work-related factors, occupational fatigue, and human performance. Data were collected using questionnaires, physical workload measurement through pulse rate assessment, and work environment measurements, including noise and temperature. The instruments used in this study included the Fatigue Assessment Scale for Construction Workers (FASCW), NASA-TLX, and the Individual Work Performance Questionnaire (IWPQ). Data were analyzed using descriptive and inferential analyses, including bivariate and multivariate analyses. The results showed that factors associated with occupational fatigue were commuting time, sleep quantity, and physical workload, with p-values of <0.001 for each variable. Based on the multivariate analysis, these three variables had a significant relationship with occupational fatigue. Commuting time was identified as the most dominant factor associated with occupational fatigue, with an OR value of 17.057. Occupational fatigue was also significantly associated with human performance, with a p-value of 0.023 and an OR value of 2.457. This indicates that workers who did not experience occupational fatigue were 2.457 times more likely to have high human performance compared to workers who experienced occupational fatigue.
T-7713
Depok : FKM-UI, 2026
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Ahmad Faiz; Pembimbing: Sjahrul M. Nasri; Penguji: Dadan Erwandi, Ridwan Zahdi Sjaaf, Ridwan Muhamad Rifai, Anis Rohmana
Abstrak:
Bahaya faktor psikososial sebagai interaksi antara atau di antara lingkungan kerja, konten pekerjaan, kondisi organisasi dan kapasitas pekerja, kebutuhan, budaya, dan pertimbangan personal pekerja yang dapat mempengaruhi kesehatan, prestasi kerja dan kepuasan kerja melalui persepsi dan pengalaman. Hasil respon karena faktor psikososial yaitu respon stres yang dapat berupa respon stres negatif atau distres. Hasil studi pendahuluan di PT X ditemukan bahwa terdapat berbagai masalah psikososial dan berbagai keluhan. Penelitian ini bertujuan untuk mengetahui hubungan berbagai faktor psikososial dengan distres yang terjadi pada pekerja di PT. X. Penelitian ini merupakan penelitian kuantitatif dengan desain studi potong lintang. Penelitian dilakukan pada pekerja di PT X pada bulan September 2021 sampai Desember 2021. Jumlah populasi pada penelitian ini adalah 112 pekerja dan instrumen yang digunakan yaitu kuisioner. Uji statistik yang digunakan yaitu uji korelasi dan regresi linear. Hasil penelitian menunjukan terdapat hubungan antara faktor psikososial lingkungan kerja (nilai p = 0,000), fungsi dan budaya organisasi (nilai p = 0,007), konflik peran (nilai p = 0,005), hubungan interpersonal (nilai p = 0,042), dan home-work interface (nilai p = 0,000) dengan variabel dependen yaitu distres. Kemudian, tidak terdapat hubungan antara faktor psikososial budaya kerja (nilai p = 0,103), ketidak jelasan peran (nilai p = 0,621), pengembangan karir (nilai p = 0,362), dan kontrol pekerjaan (nilai p = 303) dengan variabel dependen yaitu distres. Hasil uji regresi linear menunjukkan faktor psikososial yang paling dominan mempengaruhi distress yaitu lingkungan kerja.
The hazard of psychosocial factors as interactions between or among the work environment, job content, organizational conditions and worker capacities, needs, culture, and personal considerations of workers can affect health, job performance, and job satisfaction through perceptions and experiences. The response due to psychosocial factors is the stress response which can be a negative stress response or distress. On preliminary study at PT. X has found various psychosocial problems and various complaints related to distress. This study aims to determine the relationship of various psychosocial factors with distress in workers at PT. X. This research is quantitative research with a cross-sectional design. The research was conducted on workers at PT. X in September 2021 to December 2021. The total population in this study was 112 workers, and the instrument used was a questionnaire. The statistical test used is the correlation test. The results showed that there was a relationship between psychosocial factors in the work environment (p-value = 0.000), organizational function and culture (p-value = 0.007), role conflict (p-value = 0.005), interpersonal relationships (p-value = 0.042), and home-work interface (p-value = 0.000) with distress. Then, there is no relationship between psychosocial factors of work culture (p-value = 0.103), role ambiguity (p-value = 0.621), career development (p-value = 0.362), and job control (p-value = 303) with distress. The results of the multiple linear regression test showed that the most dominant psychosocial factor influencing the difficulty was the work environment
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The hazard of psychosocial factors as interactions between or among the work environment, job content, organizational conditions and worker capacities, needs, culture, and personal considerations of workers can affect health, job performance, and job satisfaction through perceptions and experiences. The response due to psychosocial factors is the stress response which can be a negative stress response or distress. On preliminary study at PT. X has found various psychosocial problems and various complaints related to distress. This study aims to determine the relationship of various psychosocial factors with distress in workers at PT. X. This research is quantitative research with a cross-sectional design. The research was conducted on workers at PT. X in September 2021 to December 2021. The total population in this study was 112 workers, and the instrument used was a questionnaire. The statistical test used is the correlation test. The results showed that there was a relationship between psychosocial factors in the work environment (p-value = 0.000), organizational function and culture (p-value = 0.007), role conflict (p-value = 0.005), interpersonal relationships (p-value = 0.042), and home-work interface (p-value = 0.000) with distress. Then, there is no relationship between psychosocial factors of work culture (p-value = 0.103), role ambiguity (p-value = 0.621), career development (p-value = 0.362), and job control (p-value = 303) with distress. The results of the multiple linear regression test showed that the most dominant psychosocial factor influencing the difficulty was the work environment
T-6290
Depok : FKM-UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Diah Arum Miranti; Pembimbing: L. Meily Kurniawidjaja; Penguji: Hendra, Indri Hapsari Susilowati
S-5125
Depok : FKM-UI, 2007
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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