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Carlos Paulus Belan Beribe; Pembimbing: Indri Hapsari Susilowati; Penguji: Abdul Kadir, L. Meily, Muliadi, Petrus AD Lazar
Abstrak:
Kelelahan merupakan permasalahan serius yang menjadi penyumbang kasus kecelakaan bagi perusahaan pertambangan batu bara sehingga menciptakan kerugian bagi perusahaan maupun pekerja secara langsung. Tujuan penelitian ini dilaksanakan untuk mengetahui gambaran dan hubungan faktor-faktor risiko kelelahan (fatigue) dengan kejadian kelelahan pada pekerja industri pertambangan batu bara. Penelitian ini menggunakan desain cross sectional (potong lintang), pengumpulan data dilakukan dengan pengisian kuesioner Fatigue Assessment Scale (FAS), NAS-TLX dan observasi lapangan langsung. Pada Penelitian ini ada beberapa variable independen yang diteliti untuk melihat faktor risiko yang mempengaruhi terjadinya kelelahan pada pekerja. Variabel independen pada penelitian ini yaitu, usia, gender, indeks masa tubuh, kondisi kesehatan, waktu tidur, aktivitas fisik, konsumsi kafein, shift kerja, lama bekerja, kejenuhan dan kelalahan yang dialami pekerja. Hasil penelitian yang diperoleh sebanyak 181 responden mengalami risiko kelelahan sebanyak (92,35%) mengalami kelelahan (fatigue) dan sebanyak 158 (93,5%) pekerja mengalami risiko beban kerja tinggi. Untuk gambaran hubungan variabel independen usia, gender, indeks masa tubuh, kondisi kesehatan, waktu tidur, aktivitas fisik, konsumsi kafein, shift kerja, lama bekerja, kejenuhan dengan kelelahan dalam penelitian ini tidak memiliki hubungan secara signifikan, artinya nilai p value lebih > 0,05.
Fatigue is a serious problem that contributes in accidents for coal pertambangan batu bara companies, thereby creating direct losses for the company and workers. The aim of this research was to determine the description and relationship between risk factors for fatigue and the incidence of fatigue in pertambangan batu bara industry workers. This research used a cross sectional design, data collection was carried out by filling in the Fatigue Assessment Scale (FAS), NAS-TLX questionnaire and direct field observation. In this research, several independent variables were studied to look at the risk factors that influence the occurrence of fatigue in workers. The independent variables in this study are age, gender, body mass index, health condition, sleep time, physical activity, caffeine consumption, work shifts, length of work, boredom and fatigue experienced by workers. The research results obtained were that 181 respondents experienced the risk of fatigue, as many as (92.35%) experienced fatigue and as many as 158 (93.5%) workers experienced the risk of high workload. To describe the relationship between the independent variables age, gender, body mass index, health condition, sleep time, physical activity, caffeine consumption, work shifts, length of work, boredom and fatigue in this study there is no significant relationship, it means that the p value is >0,05.
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Fatigue is a serious problem that contributes in accidents for coal pertambangan batu bara companies, thereby creating direct losses for the company and workers. The aim of this research was to determine the description and relationship between risk factors for fatigue and the incidence of fatigue in pertambangan batu bara industry workers. This research used a cross sectional design, data collection was carried out by filling in the Fatigue Assessment Scale (FAS), NAS-TLX questionnaire and direct field observation. In this research, several independent variables were studied to look at the risk factors that influence the occurrence of fatigue in workers. The independent variables in this study are age, gender, body mass index, health condition, sleep time, physical activity, caffeine consumption, work shifts, length of work, boredom and fatigue experienced by workers. The research results obtained were that 181 respondents experienced the risk of fatigue, as many as (92.35%) experienced fatigue and as many as 158 (93.5%) workers experienced the risk of high workload. To describe the relationship between the independent variables age, gender, body mass index, health condition, sleep time, physical activity, caffeine consumption, work shifts, length of work, boredom and fatigue in this study there is no significant relationship, it means that the p value is >0,05.
T-6903
Depok : FKM-UI, 2024
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Safira Hazzrah Medinah; Pembimbing: Baiduri Widanarko; Penguji: Abdul Kadir, Mohammad Zayyin
Abstrak:
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Kelelahan atau fatigue pada pekerja tambang memiliki dampak yang besar terhadap tingkat absenteisme, penurunan produktivitas, biaya kesehatan, dan kecelakaan. Penelitian ini bertujuan untuk mengetahui gambaran keluhan kelelahan pada pekerja di PT X serta menganalisis faktor-faktor yang berhubungan. Faktor risiko yang diteliti yaitu faktor terkait pekerjaan (beban kerja, masa kerja, waktu istirahat, area kerja, shift kerja, dan stres kerja) dan faktor risiko tidak terkait pekerjaan (usia, kualitas dan kuantitas tidur, kebiasaan merokok, commuting time, pekerjaan sampingan, konsumsi kafein, status pernikahan, status gizi, dan olah raga). Untuk mengukur kelelahan menggunakan kuesioner Occupational Fatigue Exhaustion Recovery Scale (OFER), mengukur stres kerja menggunakan kuesioner Survei Diagnosis Stres (SDS), mengukur kualitas tidur menggunakan Pittsburgh Sleep Quality Index (PSQI), mengukur beban kerja mental menggunakan NIOSH Generic Job Stress Questionnaire (GJSQ), mengukur karakteristik responden menggunakan The Self-administered Questionnaire, dan untuk mengukur beban kerja fisik menggunakan alat Fingertip Pulse Oximeter. Penelitian ini dilakukan kepada 156 pekerja tambang di PT X dengan menggunakna desain penelitian cross-sectional. Analisis data dilakukan secara deskriptif dan inferensial dengan uji regresi logistik. Hasil penelitian menunjukkan terdapat hubungan yang bermakna antara masa kerja, waktu istirahat, usia, dan beban kerja mental dengan kelelahan. Oleh karena itu, perlu dilakukannya pengembangan program pencegahan dan pengendalian kelelahan (fatigue management) di tempat kerja dan melihat hubungan faktor terkait pekerjaan yang lebih dominan terhadap kelelahan dibandingkan faktor tidak terkait pekerjaan.
Fatigue in mining workers has a huge impact on absenteeism rates, decreased productivity, medical costs, and accidents. This study aims to describe the level of fatigue in workers at PT. X and analyze the associated risk factors. The risk factors studied included work-related factors (workload, period of work, rest time, mining area, work shifts, and work stres) and non-work related factors (age, sleep quality and sleep quantity, smoking status, commuting time, side work, caffeine consumption, marital status, body mass indeks, and exercise). To measure fatigue, the Occupational Fatigue Exhaustion Recovery (OFER) questionnaire was used, Survey Diagnostic Stress (SDS) was used to measure job stress, the Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to measure sleep quality, NIOSH Generic Job Stress Questionnaire (GJSQ) was used to measure mental workload, the Self-administered Questionnaire was used to measure respondent characteristics, and Fingertip Pulse Oximeter was used to measure physical workload. This research was conducted on 156 mining workers at PT. X by using a cross-sectional research design. Descriptive and inferential logistic regression was used to analyze the data. The results showed that there was a significant association between period of work, rest time, age, and mental workload. Therefore, it is necessary to develop a fatigue management program in the workplace and refers to see the result that the relationship between work related factors and fatigue is more dominant than non-work related factors.
S-11713
Depok : FKM UI, 2024
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Zico Dian Paja Putra; Pembimbing: Izhar M. Fihir; Penguji: Baiduri, Beny Priatna Kusuma
S-5246
Depok : FKM-UI, 2008
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Martha Dina Apriliana; Pembimbing: Robiana Modjo; Penguji: Laksita Ri Hastiti, Didik Triwibowo
Abstrak:
Kecelakaan yang berkaitan dengan lalu lintas dan insiden yang berkaitan dengan kendaraan menjadi penyebab utama kecelakaan di area pertambangan. Salah satu penyebabnya adalah kelelahan pada operator truk tambang. Penelitian ini dilaksanakan untuk menjelaskan gambaran kelelahan subjektif dan menganalisis faktor-faktor risiko yang berhubungan dengan kelelahan subjektif pada operator kendaraan tambang batu bara di area mining dan hauling PT Adaro Indonesia. Faktor-faktor risiko yang diteliti meliputi faktor risiko tidak terkait pekerjaan (usia, status gizi (IMT), lingkar leher, keluhan kesehatan, kuantitas tidur, dan kualitas tidur) dan faktor risiko terkait pekerjaan (area kerja, masa kerja, shift kerja, commuting time, dan lingkungan kerja terutama temperatur, kebisingan, getaran, dan pencahayaan). Penelitian dilaksanakan pada bulan Februari hingga Juli 2022. Data yang digunakan dalam penelitian ini berasal dari kuesioner yang disebarkan secara dalam jaringan (daring), yang meliputi kuesioner karakteristik individu dan pekerjaan, Fatigue Assessment Scale (FAS) dan Pittsburgh Sleep Quality Index (PSQI). Data dianalisis menggunakan analisis deskriptif dan analisis inferensial dengan uji chi-square serta uji regresi logistik ganda model prediksi. Besar sampel minimal dalam penelitian ini adalah 436 operator, namun data yang berhasil dianalisis adalah sebanyak 440 responden. Hasil penelitian menunjukkan bahwa sebanyak 130 operator (29,5%) mengalami kelelahan subjektif. Hasil analisis statistik inferensial menggunakan uji chi-square menunjukkan bahwa terdapat hubungan yang signifikan antara faktor risiko tidak terkait pekerjaan, yaitu status gizi (IMT gemuk dan obesitas), keluhan kesehatan, dan kualitas tidur terhadap kelelahan subjektif pada operator. Hasil analisis statistik inferensial juga menunjukkan bahwa terdapat hubungan yang signifikan antara faktor risiko terkait pekerjaan, yaitu masa kerja, temperatur, kebisingan, getaran, dan pencahayaan, terhadap kelelahan subjektif pada operator. Sementara itu, hasil analisis inferensial menggunakan uji regresi logistik ganda model prediksi menunjukkan bahwa kualitas tidur merupakan variabel yang paling dominan berhubungan dengan kelelahan subjektif pada operator.
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.
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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.
S-11040
Depok : FKMUI, 2022
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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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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Fathul Masruri Syaaf; Pembimbing: Robiana Modjo; Penguji: Indri Hapsari Susilowati, Baiduri Widanarko, Heny Mayawati, Hayyu Rakhmia,
Abstrak:
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Seiring peranan penting konstruksi dalam perekonomian dan berkembangnya sektor Jasa Konstruksi yang semakin kompleks dan tingginya tingkat persaingan layanan Jasa Konstruksi baik di tingkat nasional maupun internasional, seringkali perusahaan konstruksi menuntut pekerja bekerja secara maksimal sehingga seringkali kesehatannya terabaikan. Hal ini dapat berdampak pada kesehatan pekerja, seperti kelelahan kerja, yang dapat mengakibatkan kecelakaan kerja. Penelitian ini ingin mengkaji hubungan antara kelelahan kerja dengan faktor diluar pekerjaan dan faktor pekerjaan tepada pekerja konstruksi di PT. X tahun 2022. Data mengenai faktor-faktor diluar pekerjaan (usia, status gizi/IMT, dan masa kerja), dan faktor-faktor pekerjaan (durasi kerja, beban kerja, dan suhu lingkungan kerja) terhadap terjadinya kelelahan pada pekerja proyek PT. X diteliti menggunakan kuesioner kepada 103 responden. Desain penelitian adalah penelitian analitik semi-kuantitatif dengan pendekatan cross sectional study. Pengumpulan data hasil kuesioner dianalisis untuk melihat gambaran kelelahan kerja dan menguji hubungan pada dua variabel menggunakan uji Chi-Square. Dari hasil penelitian, 33% mengalami kelelahan kerja sedang dan 67% responden mengalami kelelahan kerja rendah. Dari analisis uji diferensial, terdapat hubungan antara status gizi (IMT) pekerja, durasi kerja dan beban kerja (p 0,000) terhadap kejadian kelelahan kerja pada pekerja di proyek PT. X tahun 2022. Sedangkan faktor usia (p 0.426), masa kerja (p 0.412) dan suhu lingkungan kerja (p 1,000) tidak berhubungan dengan kejadian kelelahan kerja pada pekerja. Kesimpulan dari penelitian ini bahwa beberapa variabel tersebut berhubungan dengan kejadian kelelahan kerja yang dialami pekerja konstruksi di PT. X. Rekomendasi terkait fatigue management perlu dilakukan baik dari PT. X maupun pekerja guna meminimalisir dan mengendalikan kelelahan kerja serta meningkatkan produktifitas kerja di tempat kerja
Along with the important role of construction in the economy and the development of the Construction Services sector which is increasingly complex and the high level of competition in Construction Services services both at the national and international levels, construction companies often demand workers to work optimally so that their health is often neglected. This can have an impact on the health of workers, such as fatigue, which can lead to work accidents. This study wants to examine the relationship between work fatigue and factors outside of work and work factors for construction workers at PT. X year 2022. Data on nonwork-related factors (age, nutritional status/BMI, and years of service), and work-related factors (work duration, workload, and work environment temperature) on the occurrence of fatigue among project workers at PT. X was examined using a questionnaire to 103 respondents. The research design is a semi-quantitative analytic with a cross sectional study approach. Data collection was carried out using a questionnaire and analysis was carried out to see a description of work fatigue and to test the relationship between the two variables using the Chi-Square test. From the results of the study, 33% experienced moderate fatigue and 67% of respondents experienced low fatigue. From the differential analysis, there is a relationship between the nutritional status (BMI) of workers, duration of work and workload (p 0.000) on the occurence of fatigue in workers at the PT. X in 2022. Meanwhile, the factors of age (p 0.426), years of service (p 0.412) and working environment temperature (p 1.000) are not related to the occurence of fatigue in workers. The conclusion from this study is that some variables are related to the incidence of work fatigue experienced by construction workers at PT. X. Recommendations regarding fatigue management need to be implemented from both PT. X and workers to minimize and control fatigue as well as to increase work productivity at work.
T-6541
Depok : FKM-UI, 2023
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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Saydina Dewanta R; Pembimbing: L. Meily Kurniawidjaja; Penguji: Laksita Ri Hastiti, Heru Hermawan
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Penyakit Tidak Menular merupakan ancaman yang serius bagi kesehatan secara global. Salah satu penyakit tidak menular dengan tingkat mortalitas dan morbiditas yang tinggi adalah penyakit jantung koroner (PJK). Penelitian ini bertujuan untuk menggambarkan dan menganlisis faktor risiko yang berkontribusi terhadap tingkat risiko PJK pada pekerja kontraktor pertambangan PT X tahun 2025 berdasarkan faktor risiko yang tidak dapat dimodifikasi (jenis kelamin, usia, dan riwayat keluarga) dan faktor risiko yang dapat dimodifikasi (kebiasaan merokok, kadar kolesterol total, LDL, HDL, IMT, aktivitas fisik, diabetes melitus, tekanan darah, dan konsumsi alkohol). Penelitian ini merupakan penelitian cross-sectional dengan pendekatan kuantitatif. Sampel terdiri dari 497 sampel hasil medical check up (MCU) yang dipilih berdasarkan stratified sampling dan dianalisis menggunakan chi-square dan Prevalence Ratio (PR). Sebanyak 44,1% pekerja memiliki tingkat risiko sedang—tinggi penyakit jantung koroner. Faktor risiko yang berhubungan signifikan meliputi jenis kelamin pria (p<0,001; PR=13,51), usia ≥ 33 tahun (p<0,001; PR=1,52), kebiasaan merokok (p<0,001; PR=7,67), HDL rendah (p=0,001; PR=1,47), menderita diabetes melitus (p=0,001; PR=2,13), kurang beraktivitas fisik (p<0,001; PR=2,35). Intervensi berupa pengelolaan gaya hidup pekerja yang meliputi gizi dan kesadaran aktivitas fisik, implementasi surveilans dan parameter kepatuhan pengobatan, serta pengendalian produk tembakau di tempat kerja direkomendasikan untuk mengendalikan tingkat risiko PJK.
Non-communicable diseases are a serious threat to global health. One of the non-communicable diseases with a high mortality and morbidity rate is coronary heart disease (CHD). This study aims to describe and analyze the risk factors that contribute to the risk level of CHD in PT X mining contractor workers in 2025 based on non-modifiable risk factors (gender, age, and family history) and modifiable risk factors (smoking habits, total cholesterol levels, LDL, HDL, BMI, physical activity, diabetes mellitus, blood pressure, and alcohol consumption). This study is a cross-sectional research with a quantitative approach. The sample consisted of 497 samples from medical check-ups (MCU) results selected based on stratified sampling and analyzed using chi-square and Prevalence Ratio (PR). As many as 44.1% of workers have a moderate-high risk level of coronary heart disease. Significantly related risk factors included male sex (p<0.001; PR=13.51), age ≥ 33 years (p<0.001; PR=1.52), smoking habits (p<0.001; PR=7.67), low HDL (p=0.001; PR=1.47), had diabetes mellitus (p=0.001; PR=2.13), lack of physical activity (p<0.001; PR=2.35). Interventions in the form of lifestyle management of workers including nutrition and awareness of physical activity, implementation of surveillance and medication compliance parameters, and control of tobacco products in the workplace are recommended to control the risk level of CHD.
S-12362
Depok : FKM-UI, 2026
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Rizky Yuli Ikhwanuddin; Pembimbing: Zulkifli Djunaidi; Penguji: Mufti Wirawan, Ahmad Afif Mauludi, Hasan Bisri
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Profil K3 Nasional 2022 di Indonesia menunjukkan bahwa faktor manusia dalam keselamatan merupakan faktor yang berpengaruh terhadap risiko kecelakaan kerja, termasuk di dalamnya perilaku mengambil risiko di tempat kerja. Penelitian ini menggunakan desain cross-sectional dan pendekatan mixed method kuantitatif dan kualitatif, yang bertujuan mendapatkan gambaran persepsi karyawan tentang perilaku mengambil risiko di tempat kerja serta menelusuri faktor-faktor penyebab karyawan berperilaku tersebut. 283 karyawan PT. XYZ Site A dari tingkat manajemen, pengawas, dan pekerja berpartisipasi dalam penelitian ini. Data dikumpulkan melalui kuesioner dengan pertanyaan terbuka serta dianalisa secara kuantitatif dengan menggunakan Uji Statistik Chi-Square, serta secara kualitatif dengan menggunakan Model HFACS (The Human Factors Analysis and Classification System) dan Qualitative Comparative Analysis. Dari hasil Uji Chi-Square, variabel independen yang memiliki nilai Asymp. Sig. (2-sided) di bawah 0,05 (95% CI) adalah jabatan/posisi (0,014), penerimaan perilaku mengambil risiko (0,018), normalisasi kecelakaan kecil (0,002), keputusan akan mengambil risiko (0,000), serta persentase jumlah pelaku pelanggaran (0,032). Hal ini mengindikasikan bahwa kelima variabel tersebut memiliki pengaruh positif dan signifikan terhadap perbuatan melanggar peraturan. Secara kualitatif, faktor-faktor penyebab perilaku mengambil risiko berupa kondisi berpuas diri dan kejenuhan, kurangnya komunikasi, kurangnya pengawasan, kurang tegasnya teguran / hukuman terhadap pelanggaran, serta pembiaran kondisi tidak aman. Secara pengaruh organisasi, manajemen sumber daya, iklim organisasi, serta proses organisasi perlu ditingkatkan kinerjanya. Perusahaan disarankan untuk meningkatkan pengaruh organisasinya ke arah upaya pencegahan perilaku mengambil risiko tersebut, diiringi dengan pemantauan ketat kepada tidak hanya pekerja, namun juga kepada para pengawasnya agar selalu berperilaku selamat.
The 2022 National Occupational Health and Safety (OHS) Profile in Indonesia shows that the human factor in safety is a factor that influences the risk of work accidents, including risk-taking behavior at workplace. This research uses a cross-sectional design and a mixed method of qualitative and quantitative approach, which aims to obtain an overview of employee perceptions towards risk-taking behavior at workplace and to explore the factors causing employees to perform such behavior. 283 employees of PT. XYZ Site A from the management, supervisory, and worker levels participated in this study. Data was collected through a questionnaire with open-ended questions and analyzed quantitatively using the Chi-Square Statistical Test, as well as qualitatively using the HFACS (The Human Factors Analysis and Classification System) Model and Qualitative Comparative Analysis. From the results of the Chi-Square Test, the independent variables that have a value of Asymp. Sig. (2-sided) below 0.05 (95% CI) are job title/position (0.014), acceptance of risk-taking behavior (0.018), normalization of minor accidents (0.002), decision to take risks (0.000), and the percentage of the number of violators (0.032). This indicates that those five variables have a positive and significant effect on rule-breaking. Qualitatively, factors causing risk-taking behavior are the conditions of complacency and boredom, lack of communication, lack of supervision, lack of strong punishment on violations, as well as ignorance on unsafe conditions. As per organizational influences, the resource management, organizational climate, and organizational processes need improvement on their performance. The company is advised to increase its organizational influence towards efforts to prevent this risk-taking behavior, by carrying out strict monitoring not only to the workers, but also to the supervisors so that they always behave safely.
T-7165
Depok : FKM UI, 2024
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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