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Jessica Natalie Basaria Malau; Pembimbing: Chandra Satrya; Penguji: Mila Tejamaya, Agrian Novaldi Mokodompit
Abstrak:
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Kelelahan kerja merupakan perasaan lelah yang menyebabkan penurunan kemampuan kerja. Meski dapat ditemukan di setiap sektor industri, beberapa sektor lebih rentan terhadap kondisi ini karena kombinasi dari berbagai faktor risiko. Salah satunya adalah sektor tambang. Hingga saat ini, penelitian terkait kelelahan kerja di pertambangan belum banyak dilakukan pada pekerja mine support. Divisi X sebagai salah satu divisi mine support PT X telah mengalami insiden boat di mana kelelahan kerja terindikasi sebagai salah satu faktor laten. Penelitian ini bertujuan memberikan gambaran komprehensif mengenai kejadian kelelahan kerja serta faktor risikonya, baik terkait kerja maupun tidak terkait kerja, yang dialami oleh operator boat di Divisi X PT X tahun 2023. Penelitian menggunakan metode kualitatif dengan desain penelitian deskriptif. Pengumpulan data dilakukan menggunakan kuesioner Subjective Self Test oleh Industrial Fatigue Research Committee, wawancara mendalam, pengisian formulir, dan dokumentasi. Informan terdiri atas informan utama, yaitu operator boat, sejumlah lima orang dan informan kunci, yaitu supervisor operator boat, sejumlah satu orang. Variabel yang diteliti terdiri dari kelelahan kerja, faktor risiko terkait kerja (pengalaman kerja, desain kerja, durasi kerja, waktu istirahat, shift kerja, dan lingkungan kerja), serta faktor risiko tidak terkait kerja (durasi tidur, kualitas tidur, dan waktu perjalanan). Berdasarkan hasil penelitian, diketahui bahwa semua operator boat Divisi X PT X mengalami kelelahan kerja tingkat ringan atau sedang, dengan faktor risiko terkait kerja yang dialami adalah desain kerja, durasi kerja, waktu istirahat, shift kerja, dan lingkungan kerja. Sementara faktor risiko tidak terkait kerja adalah durasi tidur, kualitas tidur, dan waktu perjalanan.
Work fatigue refers to the feeling of tiredness that resulted in reduced work performance. While this condition can be found in every industrial sector, some are more susceptible than others due to the combination of risk factors. Such example is the mining industry. Research on work fatigue in mine support workers is currently limited. Division X, one of the mine support division in PT X, has recently experienced a boat incident in which work fatigue was indicated as a latent factor. This research aims to provide a comprehensive overview of work fatigue experienced by boat operators in Division X of PT X in 2023, along with its related risk factors, both work- and non-work-related. This research uses qualitative method with descriptive design. Data is collected through Subjective Self Test questionnaire by Industrial Fatigue Research Committee, in-depth interviews, data form, and documentation. Informants consist of five boat operators as main informants and one direct supervisor as key informant. Variables studied consist of work fatigue, its work-related risk factors (work experience, work design, work duration, rest time, shift work, and work environment), and non-work-related risk factors (sleep duration, sleep quality, and commuting time). Result shows that all boat operators in Division X of PT X experience mild to moderate occupational fatigue, with work-related risk factors found being work duration, rest time, shift work, and work environment. Meanwhile, non-work-related factors include sleep duration, sleep quality, and commuting time.
S-11443
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Al Amiral Ulil Amri; Pembimbing: Chandra Satrya; Penguji: Sjahrul Meizar Nasri, Inge Mazoni
Abstrak:
Situasi pandemi COVID-19 membuka mata masyarakat akan pentingnya kesehatan, peningkatan demand akan produk-produk kesehatan mendorong industri logistik PT X yang berperan dalam distribusi barang untuk melakukan lembur kerja atas intensitas kerja yang tinggi, hal ini meningkatkan risiko terjadinya fatigue di tempat kerja yang dapat menurunkan fungsional tubuh dan berdampak baik pada kesehatan pekerja maupun risiko terjadinya error di tempat kerja, PT X juga belum memiliki sistem manajemen risiko fatigue khusus sehingga deteksi fatigue tidak dapat dilakukan, penelitian ini bertujuan untuk memberikan gambaran keluhan dan faktor risiko fatigue pada pekerja logistik gudang PT X tahun 2022 yang bertempat di salah satu kawasan DKI Jakarta. Penelitian ini berdesain deskriptif kuantitatif dan kualitatif dengan metode studi cross-sectional menggunakan instrumen kuesioner termasuk Fatigue Assessment Scale (FAS), NASA Task Load Index (TLX), dan Pittsburgh Sleep Quality Index (PSQI) yang selanjutnya dianalisis secara univariat dan triangulasi data dengan hasil wawancara di lapangan terhadap beberapa pekerja dan koordinator tiap tim. Hasil penelitian menunjukkan bahwa terdapat 20 pekerja (37,04%) mengalami keluhan fatigue ringan, mayoritas sebagian lainnya (62,96%) tidak mengalami keluhan fatigue dan tidak ditemukan pekerja dengan keluhan fatigue berat, serta untuk faktor risiko fatigue paling dominan yang ditemukan adalah pada faktor kuantitas tidur pekerja dengan mayoritas pekerja (83,33%) memiliki durasi tidur dibawah standar 7 jam
The COVID-19 pandemic situation has opened people's eyes to the importance of health, the increasing demand for health products has encouraged the logistics industry of PT X, which plays a role in the distribution of goods, to carry out overtime work to meet the high work intensity, this increases the risk of fatigue in the workplace which can reduce body function and have an impact on the health of workers and even the risk of errors in the workplace. Additionally, PT X lacks a fatigue risk management system, making it unable to do fatigue detection, thus this research aims to provide an overview of complaints and fatigue warehouse logistics workers at PT X year 2022, located in one of the DKI Jakarta region. Research design is a quantitative and qualitative with a cross-sectional study using questionnaire instruments, including the Fatigue Assessment Scale (FAS), NASA Task Load Index (TLX), and Pittsburgh Sleep Quality Index (PSQI) which were then analyzed univariately and triangulated the data with the results of field interviews towards several workers and the coordinator of each team. The results showed that there were 20 workers (37.04%) experiencing light fatigue, the majority of the others (62.96%) did not experience any, and none with severe fatigue, as for the most dominant fatigue risk factor found is the workers' sleep quantity with the majority of workers (83.33%) having sleep duration below the standard of 7 hours minimum
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The COVID-19 pandemic situation has opened people's eyes to the importance of health, the increasing demand for health products has encouraged the logistics industry of PT X, which plays a role in the distribution of goods, to carry out overtime work to meet the high work intensity, this increases the risk of fatigue in the workplace which can reduce body function and have an impact on the health of workers and even the risk of errors in the workplace. Additionally, PT X lacks a fatigue risk management system, making it unable to do fatigue detection, thus this research aims to provide an overview of complaints and fatigue warehouse logistics workers at PT X year 2022, located in one of the DKI Jakarta region. Research design is a quantitative and qualitative with a cross-sectional study using questionnaire instruments, including the Fatigue Assessment Scale (FAS), NASA Task Load Index (TLX), and Pittsburgh Sleep Quality Index (PSQI) which were then analyzed univariately and triangulated the data with the results of field interviews towards several workers and the coordinator of each team. The results showed that there were 20 workers (37.04%) experiencing light fatigue, the majority of the others (62.96%) did not experience any, and none with severe fatigue, as for the most dominant fatigue risk factor found is the workers' sleep quantity with the majority of workers (83.33%) having sleep duration below the standard of 7 hours minimum
S-11029
Depok : FKMUI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Gibza Adam Farhandika; Pembimbing: Robiana Modjo; Penguji: Indri Hapsari Susilowati, Stevan Deby Anbiya Muhamad Sunarno, Yusuf Ryadi, M. Fiarry Fikaris
Abstrak:
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Pelaut, khususnya mereka yang berada dalam peran menuntut seperti awak kapal tugboat, menghadapi tekanan yang dapat memengaruhi kesehatan mental secara signifikan. Meskipun peran krusial mereka dalam perdagangan global, kesejahteraan psikologis para profesional ini seringkali kurang tergarap. Penelitian ini menganalisis faktor-faktor risiko depresi, kecemasan, serta stres kerja pada 36 awak kapal tugboat di PT. X pada tahun 2024. Seluruh partisipan menunjukkan indikasi gejala moderat hingga parah pada ketiga indikator psikologis tersebut. Mayoritas awak kapal (berusia 30 tahun dan sudah menikah) melaporkan bahwa pengaruh keluarga berkontribusi positif terhadap rasa aman dan kepuasan. Namun, proporsi yang signifikan juga mengungkapkan kekhawatiran mengenai rendahnya umpan balik dan komitmen di lingkungan kerja mereka. Meskipun keamanan kapal secara umum dianggap memadai dan tekanan kerja dinilai seimbang, sebagian besar responden telah bekerja lebih dari lima tahun. Analisis statistik menunjukkan adanya hubungan signifikan antara pengaruh keluarga dan tekanan kerja dengan depresi. Lebih lanjut, pengaruh keluarga, tekanan kerja, dan keamanan kapal secara kolektif berkontribusi terhadap stres dan kecemasan. Temuan ini menggarisbawahi peran krusial dukungan keluarga, dampak tuntutan tempat kerja, dan persepsi keamanan dalam membentuk kesejahteraan mental para pelaut. Studi ini menyoroti tantangan kesehatan mental dalam kelompok pekerjaan yang rentan ini untuk meningkatkan kualitas hidup dan keselamatan operasional mereka secara keseluruhan.
Kata Kunci: Kesehatan Mental Pelaut, Stres Kerja, Awak Kapal Tugboat, Faktor Risiko
Seafarers, particularly those in demanding roles like tugboat crews, face unique stressors that can significantly impact their mental health. Despite their critical role in global trade, the psychological well-being of these professionals often remains understudied. This study investigated the risk factors of depression, anxiety, and work-related stress among 36 tugboat crew members at PT. X in 2024. All participants exhibited moderate to severe symptoms across all three psychological indicators. The majority of the crew (aged 30, married) reported that family influence positively contributed to feelings of security and satisfaction. However, a notable proportion also expressed concerns regarding low feedback and commitment within their work environment. While ship safety was generally perceived as adequate, and work pressure was considered balanced, a substantial number of respondents had worked for over five years. Statistical analysis revealed a significant association between family influence and work pressure with depression. Furthermore, family influence, work pressure, and ship safety collectively contributed to both stress and anxiety. These findings underscore the critical role of familial support, the impact of workplace demands, and perceived safety in shaping the mental well-being of seafarers. The study highlights mitigating mental health challenges in this vulnerable occupational group, thus improving their overall quality of life and operational safety. Keywords: Seafarer Mental Health, Occupational Stress, Tugboat Crew, Risk Factors
T-7408
Depok : FKM-UI, 2025
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Nuke Novia Ananda; Pembimbing: Fatma Lestari; Penguji: Abdul Kadir, Rika Nurhayati
Abstrak:
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Kelelahan merupakan salah satu bahaya yang dapat terjadi di sektor industri, terutama pergudangan karena pekerja di sektor pergudangan lebih banyak menggunakan aktivitas fisik untuk melakukan pekerjaannya sehari-hari. Penelitian ini memiliki tujuan untuk menjelaskan gambaran dan menganalisis hubungan antara faktor risiko kelelahan dengan kelelahan pekerja pada pekerja di industri gudang alat berat PT.X. Faktor-faktor yang diteliti yaitu faktor risiko terkait pekerjaan (beban kerja, masa kerja, waktu istirahat, dan commuting time) dan faktor risiko tidak terkait pekerjaan (usia, kualitas tidur, kuantitas tidur, kebiasaan merokok, dan kebiasaan olahraga) dengan desain studi cross-sectional. Data kelelahan beserta faktor risikonya diperoleh dengan kuesioner data responden, Fatigue Assessment Scale (FAS), dan Pittsburgh Sleep Quality Index (PSQI). Hasil penelian menunjukkan sebanyak 82,8% pekerja di gudang PT.X mengalami kelelahan. Variabel beban kerja, commuting time, kuantitas tidur, dan kebiasaan olahraga memiliki hubungan yang signikan dengan kelelahan kerja.
Fatigue is one of the main hazards in the industrial sector, especially for warehousing workers, because they use more physical activity to carry out their daily work. This study aims to describe and analyze the relationship between fatigue risk factors and worker fatigue in workers in the heavy equipment warehouse industry PT. X. The risk factors studied were work-related risk factors (workload, length of work, rest periods, and commuting time) and non-work-related risk factors (age, sleep quality, sleep quantity, smoking habits, and exercise habits) with a cross-sectional study design. Fatigue data and its risk factors were obtained using individual respondent data questionnaires, the FAS Fatigue Assessment Scale (FAS), and the Pittsburgh Sleep Quality Index (PSQI). The study results showed that 82.8% of workers in the PT.X warehouse experienced fatigue. The risk factor of workload, commuting time, sleep quantity, and exercise habits significantly correlate with work fatigue.
S-11314
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Wafiq Febri Erlianti Safitri; Pembimbing: Indri Hapsari Susilowati; Penguji: Fatma Lestari, Hendra, Muthia Ashifa, Ahmad Afif Mauludi
Abstrak:
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Abstrak Pada tahun 2021, Ditjen Pembinaan Pengawasan Ketenagakerjaan mencatat 7.298 kasus kecelakaan kerja dan 9% diantaranya disebabkan oleh kelelahan kerja. Dari data kasus tersebut 96% terjadi di industry pertambangan yang juga menyebabkan produktivitas pekerja. Penelitian ini bertujuan untuk mengetahui faktor risiko kelelahan kerja pada operator alat berat pertambangan di PT XYZ. Metode yang digunakan pada penelitian ini adalah penerapan rancangan cross-sectional. Studi ini melibatkan 115 pekerja yang diminta untuk mengisi kuisioner SOFI. Analisis data dilakukan menggunakan uji Chi-square. Hasil penelitian menunjukkan bahwa 71,3% pekerja mengalami kelelahan kerja pada tingkat ringan, sedangkan 28,7% responden mengalami kelelahan kerja pada tingkat berat. Nilai p dari hasil uji korelasi antara kelelahan kerja dengan faktor-faktor risikonya, masing-masing adalah jam kerja = 0,087, jumlah hari berurutan = 0,105, roster kerja = 0,556, shift kerja = 0,720, lama perjalanan = 0,005, usia = 0,992, riwayat penyakit kronis = 1,000, gangguan tidur = <0,001, kebiasaan tidur = <0,001, kemampuan tidur siang/istirahat = 0,047, usaha = 0,006, penghargaan = 0,152, overcommitment = 0,014, suhu = 0,482, kebisingan = 0,277, pencahayaan = 0,127. Selanjutnya disimpulkan bahwa determinan dari kelelahan kerja adalah lama perjalanan, gangguan tidur, kebiasaan tidur, kemampuan tidur siang/istirahat, usaha, dan overcommitment.
Abstract In 2021, the Directorate General of Labor Inspection recorded 7,298 cases of workplace accidents, with 9% attributed to work fatigue. Of these cases, 96% occurred in the mining industry, adversely affecting worker productivity. This study aims to identify the risk factors for work fatigue among heavy equipment operators in PT XYZ using a cross-sectional design. Involving 115 workers who completed the SOFI questionnaire, data analysis was conducted using the Chi-square test. The research findings revealed that 71.3% of workers experienced mild work fatigue, while 28.7% reported severe fatigue. Correlation tests showed varying p-values for factors such as working hours (0.087), consecutive workdays (0.105), work roster (0.556), shift work (0.720), travel duration (0.005), age (0.992), chronic illness history (1.000), sleep disturbances (<0.001), sleep habits (<0.001), nap/rest capability (0.047), effort (0.006), recognition (0.152), overcommitment (0.014), temperature (0.482), noise (0.277), and lighting (0.127). In conclusion, determinants of work fatigue include travel duration, sleep disturbances, sleep habits, nap/rest capability, effort, and overcommitment.
T-6874
Depok : FKM-UI, 2024
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Aulia Erid Angelica; Pembimbing: Baiduri Widanarko; Penguji: Abdul Kadir, Hendra, David Irianto, Subkhan
Abstrak:
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Kelelahan kerja (fatigue) merupakan salah satu faktor yang dapat menurunkan human performance serta meningkatkan risiko human error dan kecelakaan kerja, khususnya pada industri konstruksi yang memiliki karakteristik pekerjaan dengan tuntutan fisik dan mental yang tinggi. Penelitian ini bertujuan menganalisis faktor-faktor yang berhubungan dengan kelelahan kerja serta hubungan antara kelelahan kerja dan human performance pada pekerja konstruksi PT X. Penelitian ini menggunakan desain cross-sectional dengan melibatkan 219 pekerja konstruksi PT X yang dipilih menggunakan teknik purposive sampling. Variabel yang diteliti meliputi faktor terkait pekerjaan (durasi kerja, shift kerja, beban kerja, pekerjaan monoton, dan reward) serta faktor tidak terkait pekerjaan (indeks massa tubuh, waktu tempuh, usia, kualitas tidur, dan kuantitas tidur). Tingkat kelelahan kerja diukur menggunakan Fatigue Assessment Scale for Construction Workers(FASCW), sedangkan human performance diukur menggunakan instrumen Human Performance dari U.S. Department of Energy (DOE). Analisis data dilakukan secara deskriptif dan inferensial menggunakan Uji Regresi Logistik Ordinaluntuk menganalisis hubungan faktor-faktor dengan kelelahan kerja serta Uji Mann–Whitney untuk menganalisis hubungan antara kelelahan kerja dan human performance. Hasil penelitian menunjukkan bahwa sebanyak 187 pekerja (85,4%) mengalami kelelahan kerja. Terdapat hubungan yang signifikan antara durasi kerja (OR=2,61; 95% CI: 1,20–5,76), beban kerja (OR=32,37; 95% CI: 9,40–111,48), pekerjaan monoton (OR=10,42; 95% CI: 3,07–35,39), indeks massa tubuh (OR=3,93; 95% CI: 1,68–9,19), waktu tempuh (OR=2,38; 95% CI: 1,10–5,17), usia (OR=3,44; 95% CI: 1,58–7,50), kualitas tidur (OR=3,20; 95% CI: 1,41–7,29), dan kuantitas tidur (OR=2,53; 95% CI: 1,18–5,42) dengan kelelahan kerja, sedangkan shift kerja (OR=1,42; 95% CI: 0,67–3,01) dan reward (OR=0,83; 95% CI: 0,34–2,05) tidak berhubungan dengan kelelahan kerja. Selain itu, terdapat hubungan yang signifikan antara kelelahan kerja dan human performance (p<0,001), di mana pekerja yang mengalami kelelahan cenderung memiliki human performance yang lebih buruk dibandingkan pekerja yang tidak mengalami kelelahan. Penelitian ini menyimpulkan bahwa kelelahan kerja pada pekerja konstruksi PT X berhubungan dengan berbagai faktor terkait pekerjaan maupun faktor tidak terkait pekerjaan serta berhubungan dengan penurunan human performance. Oleh karena itu, pengelolaan kelelahan kerja perlu menjadi bagian dari program keselamatan dan kesehatan kerja melalui pengendalian faktor-faktor yang berhubungan dengan kelelahan kerja guna meningkatkan keselamatan, kesehatan, dan human performance pekerja.
Occupational fatigue is one of the major factors contributing to decreased human performance and an increased risk of human error and workplace accidents, particularly in the construction industry, where work is characterized by high physical and mental demands. This study aimed to analyze the factors associated with occupational fatigue and to examine the relationship between occupational fatigue and human performance among construction workers at PT X. This study employed a cross-sectional design involving 219 construction workers at PT X selected through purposive sampling. The variables examined included work-related factors (working hours, shift work, workload, monotonous work, and reward) and non-work-related factors (body mass index, commuting time, age, sleep quality, and sleep duration). Occupational fatigue was assessed using the Fatigue Assessment Scale for Construction Workers (FASCW), while human performance was measured using the Human Performance instrument developed by the U.S. Department of Energy (DOE). Data were analyzed descriptively and inferentially using Ordinal Logistic Regression to examine the associations between the studied factors and occupational fatigue, and the Mann–Whitney test to analyze the relationship between occupational fatigue and human performance. The results showed that 187 workers (85.4%) experienced occupational fatigue. Significant associations were found between occupational fatigue and working hours (OR=2.61; 95% CI: 1.20–5.76), workload (OR=32.37; 95% CI: 9.40–111.48), monotonous work (OR=10.42; 95% CI: 3.07–35.39), body mass index (OR=3.93; 95% CI: 1.68–9.19), commuting time (OR=2.38; 95% CI: 1.10–5.17), age (OR=3.44; 95% CI: 1.58–7.50), sleep quality (OR=3.20; 95% CI: 1.41–7.29), and sleep duration (OR=2.53; 95% CI: 1.18–5.42). In contrast, shift work (OR=1.42; 95% CI: 0.67–3.01) and reward (OR=0.83; 95% CI: 0.34–2.05) were not significantly associated with occupational fatigue. Furthermore, occupational fatigue was significantly associated with human performance (p<0.001), with fatigued workers demonstrating poorer human performance than those who were not fatigued. This study concludes that occupational fatigue among construction workers at PT X is associated with both work-related and non-work-related factors and is significantly associated with decreased human performance. Therefore, fatigue management should be integrated into occupational safety and health programs by addressing the factors associated with occupational fatigue to improve workers' safety, health, and human performance.
T-7691
Depok : FKM-UI, 2026
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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Ira Budi Hayati; Pembimbing: L. Meily Kurniawidjaja; Penguji: Mila Tejamaya, Arief Budiman
S-10462
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Husairi; Pembimbing: Doni Hikmat Ramdhan; Penguji: Baiduri Widanarko, Muhammad Novie Anshari
Abstrak:
Operator haul truck merupakan salah satu pekerjaan yang berisiko tinggi untuk mengalami kelelahan kerja (fatigue) disebabkan oleh penerapan shift kerja, gangguan kuantitas dan kualitas tidur, serta pengaruh berbagai faktor lainnya. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara shift kerja, kuantitas dan kualitas tidur, serta faktor-faktor yang berhubungan dengan keluhan fatigue pada operator haul truck. Desain studi cross-sectional digunakan dalam penelitian ini dengan menggunakan kuisioner Fastigue Assessment Scale (FAS), pengukuran tingkat stress menggunakan alat cocorometer, serta pengukuran kuantitas dan kualitas tidur menggunakan alat fitbit di antara 196 responden laki-laki yang bekerja sebagai operator haul truck. Hasil penelitian menunjukkan terdapat hubungan yang signifikan antara kuantitas tidur (OR = 3,222, p = 0,028) dan kualitas tidur (OR = 2,800, p = 0,025) dengan kelelahan, sedangkan shift kerja tidak memiliki hubungan yang signifukan dengan kelelahan. Faktor risiko lain yang juga memiliki hubungan signifikan dengan kelelahan pada operator haul truck di PT X adalah beban mental (OR = 2,296, p = 0,027), lingkungan kerja (OR = 2,400, p = 0,014), monotoni pekerjaan (OR = 3,371, p = 0,002), usia (OR = 2,708, p = 0,005), dan sleep hygiene (OR = 3,840, p = 0,001).
Kata Kunci: Kelelahan; Fatigue Assessment Scale (FAS); Shift Kerja; Tidur; Fitbit
Operator haul truck Haul truck operator is one of the high-risk occupations in experiencing fatigue caused by the implementation of shift work, sleep quantity and quality disturbance, other related factors. The objective of this study was to analyze the relationship between shift work, quantity and quality of sleep, and other factors associated with fatigue on the haul truck operator. A cross-sectional study was conducted in this study using questionnaires of Fatigue Assessment Scale (FAS), measurement of stress using cocorometer, and measurement of sleep quantity and quality using fitbit among 196 male respondents who work as haul truck operator. The result of this study shown there is a significant correlation between the quantity of sleep (OR = 3,222, p = 0,028) and fatigue, also between the quality of sleep (OR = 2,800, p = 0.025) and fatigue. However, shift work has no significant correlation with fatigue. Other factors, including mental workload (OR = 2,296, p = 0,027), work environment (OR = 2,400, p = 0,014), monotonous work (OR = 3,371, p = 0,002), age (OR = 2,708, p = 0,005), and sleep hygiene (OR = 3,840, p = 0,001) also have significant correlation with operator fatigue in PT X.
Keywords: Fatigue; Fatigue Assessment Scale (FAS); Shift Work, Sleep; Fitbit; Haul truck operator
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Kata Kunci: Kelelahan; Fatigue Assessment Scale (FAS); Shift Kerja; Tidur; Fitbit
Operator haul truck Haul truck operator is one of the high-risk occupations in experiencing fatigue caused by the implementation of shift work, sleep quantity and quality disturbance, other related factors. The objective of this study was to analyze the relationship between shift work, quantity and quality of sleep, and other factors associated with fatigue on the haul truck operator. A cross-sectional study was conducted in this study using questionnaires of Fatigue Assessment Scale (FAS), measurement of stress using cocorometer, and measurement of sleep quantity and quality using fitbit among 196 male respondents who work as haul truck operator. The result of this study shown there is a significant correlation between the quantity of sleep (OR = 3,222, p = 0,028) and fatigue, also between the quality of sleep (OR = 2,800, p = 0.025) and fatigue. However, shift work has no significant correlation with fatigue. Other factors, including mental workload (OR = 2,296, p = 0,027), work environment (OR = 2,400, p = 0,014), monotonous work (OR = 3,371, p = 0,002), age (OR = 2,708, p = 0,005), and sleep hygiene (OR = 3,840, p = 0,001) also have significant correlation with operator fatigue in PT X.
Keywords: Fatigue; Fatigue Assessment Scale (FAS); Shift Work, Sleep; Fitbit; Haul truck operator
S-9883
Depok : FKM UI, 2018
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Anshor; Pembimbing; Ridwan Zahdi Sjaaf; Penguji: Doni Hikmat Ramdhan, Indri Hapsari Susilowati, Erdy Techrisna Satyadi
T-3699
Depok : FKM UI, 2013
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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