Ditemukan 38792 dokumen yang sesuai dengan query :: Simpan CSV
Kecelakaan kendaraan bermotor semakin meningkat sejalan dengan bertambahnya jumlah kendaraan di Indonesia. Kerugian yang ditimbulkannya luar biasa besar, baik dalam bentuk materi maupun kehilangan produktifitas. Sesungguhnya kecelakaan dapat dicegah asalkan diketahui penyebabnya. Banyak penelitian dan teori mengungkapkan bahwa faktor manusia merupakan faktor penting dalam kejadian kecelakaan. Perilaku pengemudi sangat berpengaruh pada kejadian kecelakaan. Di CGI Indonesia, sejak tahun 2007 laju kecelakaan kendaraan bermotor khususnya light vehicle menunjukkan penurunan yang berarti. Tujuan penelitian ini adalah untuk mengetahui gambaran perilaku aman pengemudi dan faktor-faktor yang mempengaruhi perilaku aman tersebut. Variabel yang diteliti adalah faktor internal manusia yaitu pengetahuan, motivasi dan persepsi, serta faktor eksternal yaitu pelatihan safety driving dan implementasi Behavior Based Safety. Penelitian ini bersifat kuantitatif dengan disain studi cross sectional. Pengumpulan data dilakukan dengan kuesioner dan wawancara. Hasil penelitian mengungkapkan mayoritas pengemudi tergolong baik dalam berperilaku aman. Dari hasil uji bivariat chi square diketahui faktor internal yang mempunyai hubungan bermakna dengan perilaku aman mengemudi adalah motivasi, sementara faktor eksternal yang berhubungan adalah pelatihan safety driving. Melalui uji regresi logistik berganda dapat diketahui bahwa faktor pelatihan safety driving yang paling dominan pengaruhnya terhadap perilaku aman pengemudi light vehicle di CGI, Indonesia tahun 2011. Kata Kunci: Light Vehicle, Safety Driving, Behavior Based Safety
Motor vehicle accidents has increased in line with the increasing number of vehicles in Indonesia. It obviously caused enormous losses, both material and productivity. Indeed accidents can be prevented as long as the cause is recognized. Many researches and theories revealed that the human factor is a critical factor in the accident. Driver behavior is very influential on the occurrence of accidents. Since 2007 in CGI Indonesia company, motor vehicle accidents has showed significant decreasing trend. The objective of this study is to identify the driver safe behaviors and the factors that influence those behaviors. The variables studied are the human internal factors i.e. the knowledge, motivation and perception, as well as external factors that are safety driving training and implementation of Behavior Based Safety. This is a quantitative research with cross sectional study design. Data was collected through questionnaires and interviews. The results revealed that the majority of drivers are classified as good in driving safe behavior. From the results of bivariate chi square test, it is known that the internal factors that significantly related to driving safe behavior is the motivation, while safety driving training is the external factor that related to driving safe behavior. Result of multiple logistic regression test showed that among those factors, safety driving training is the most dominant factor influencing the safe driving behavior of light vehicle drivers in CGI, Indonesia in the year of 2011. Keywords: Light Vehicle, Safety Driving, Behavior Based Safety.
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.
Coal mining industry is an industry with high risks of occupational healthand safety. Hence, it is considered important to conduct a risk assessment andevaluation on occupational health and safety in a coal mining industry. Theexpected result of the assessment and evaluation is an improvement of significantefforts in decreasing occupational accident and illness rate, and also fatality rate incoal mining activities.Focus of this study was OHS risk assessment and evaluation on miningactivity in PT. Adaro Indonesia Site Tanjung Tabalong South Kalimantan in 2013.This study was analytical descriptive using observational approach. This studyused Job Hazard Analysis for hazard and risk identification, and semi-quantitativerisk assessment method by multiplication of consequences, probability, andexposure score. The result of this study showed that mining activity in PT. AdaroIndonesia Site Tanjung Tabalong has 182 OHS risks.Key words: risk, coal, mining activities.
ABSTRAK Industri pertambangan batubara merupakan salah satu industri besar yang banyak menghasilkan devisa bagi Negara dan salah satu jenis industri yang memiliki resiko kecelakaan yang tinggi. Kecelakaan yang terjadi banyak menimbulkan kerugian baik pada manusia maupun harta benda. Kecelakaan yang terjadi disebabkan oleh berbagai faktor yang meliputi perilaku tidak aman (unsafe act) maupun kondisi yang tidak aman (unsafe condition), unsafe act memberikan kontribusi terbesar sebagai penyebab langsung dari terjadinya kecelakaan. Penelitian ini bertujuan untuk mengetahui aspek human error dan karatristiknya terhadap kecelakaan trailer yang terjadi di PT Adaro Indonesia Kalimantan Selatan. Penelitian ini menggunakan desain studi kasus (case study) dengan pendekatan kuantitatif dengan tujuan memberikan gambaran masalah human error pada kecelakaan trailer yang terjadi selama tahun 2007 di PT Adaro Indonesia. Data yang digunakan dalam penelitian ini adalah data sekunder berupa laporan kecelakaan trailer selama tahun 2007. Data yang diperoleh dimasukan dalam dummy table dan analisis dilakukan secara univariat. Untuk melihat mengapa dan bagaimana human error muncul maka dilakukan analisa konten (content analysis). Hasil penelitian adalah terhadap seluruh data kecelakaan trailer selama tahun 2007 yang terjadi di PT Adaro Indonesia diperoleh bahwa unsafe act sebesar 81 % dan unsafe condition sebesar 19 %. Unsafe act terdiri dari human error 97.1 % dan Violations sebesar 20.6 %. Terhadap kasus human error di peroleh bahwa Skill based error 76.5%, Rule based error 14.7 % dan Knowledge based error 44.2 %. Dari masing-masing jenis error selanjutnya dibagi berdasarkan karatristiknya dan diperoleh hasil sebagai berikut; Skill based error terdiri dari poor technique (38.2 %), kemudian diikuti oleh mis-ordering (29.4 %), mistiming (20.6 %), intrusion (8.8 %), dan ommision following interuption (5.9 %); untuk rule based error terdiri dari Misapplication of good rule sebesar 11.8 % dan Application of Bad rule sebesar 2.9 %. Dan untuk knowledge based error terdiri dari workspace limitations dan out of sight / out of mind (11.8 %) kemudian berturut – turut problems with causality and complexity dan confirmation bias masing-masing (8.8 %), overconvidence (5.9%) dan selectivity (2.9 %). Jika dilakukan analisis berdasarkan perusahaan kontraktor yang ada di PT Adaro Indonesia maka diperoleh hasil sebagai berikut : skill based error terjadi berturut – turut pada PAMA (29 %), SIS (24 %), RA (15 %), dan BUMA (12 %). Untuk rule based error paling banyak terjadi pada PAMA (5.9 %) dan BUMA, SIS dan RA masing - masing 2.9 %. Untuk jenis knowledge based error paling banyak terjadi pada PAMA (24 %), SIS (8.8 %), RA (5.9 %), dan BUMA (5.9 %). Dari keseluruhan hasil penelitian tersebut maka human error yang paling dominan adalah skill based error, kemudian knowledge based error. Program error prevention sangat diperlukan untuk mencegah terjadinya kasus human error secara berulang. Daftar bacaan: 25 (1980- 2007)
ABSTRACT Coal mining industry is one of big industries that produce yielding foreign exchange for a country. And, it also has high risk of having an accident. An accident that happened can create big loss to humans or properties of a company. The accidents that happened were caused by many factors, such as unsafe act, and unsafe condition. Unsafe act gives the biggest contribution on the cause of an accident. The purpose of the research is to know the aspects of human error and their characteristics of trailer accidents that happened at PT. Adaro Indonesia in South Kalimantan. This research uses case study design with quantitative approach. The purpose of using this approach is to give a bigger picture on human error issue that causes trailer accidents which happened in 2007 at PT. Adaro Indonesia. The data that is used for this research is secondary data that contains reports of trailer accidents in 2007. The data that has been collected is inputted in a dummy table. After that, the data is analyzed unvariat. In order to see why and how human error occurs, then I use content analysis. According to this research that uses data of trailer accidents that happened in 2007 at PT. Adaro Indonesia, the causes of trailer accidents are unsafe act (81%), and unsafe condition (19%). Unsafe act consists of human error (97.1%) and Violations (20.6 %). In human error cases, we can see characteristics, Skill based error 76.5%, Rule based error (14.7%), and Knowledge based error (44.2%). We can divide these errors based on their characteristics. They are: Skill based error consists of poor technique (38.2 %), mis-ordering (29.4 %), mistiming (20.6 %), intrusion (8.8 %), and ommision following interuption (5.9 %). Rule based error consists of Misapplication of good rule (11.8%), and Application of Bad rule (2.9%). And, knowledge based error consists of workspace limitations dan out of sight / out of mind (11.8 %), problems with causality and complexity (8.8%) and confirmationbias (8.8 %), overconvidence (5.9%), and selectivity (2.9 %). If we do analysis to contractor companies at PT. Adaro Indonesia, we cansee: skill based error occurs at PAMA (29 %), SIS (24 %), RA (15 %), and BUMA(12 %); rule based error occurs at PAMA (5.9 %), BUMA (2.9%), SIS (2.9%), andRA (2.9%); knowledge based error occurs at PAMA (24 %), SIS (8.8 %), RA (5.9 %), and BUMA (5.9 %). According to the result of the research, the most dominant characteristic ofhuman error is skill based error. And, it is followed by knowledge based error. Error prevention program is needed to prevent accidents that are caused by human error. References : 25 (1980- 2007)
Driving requires high concentration for quick and accurate coordination between eyes, hands, feet and brain; therefore, driving is a job with high risk to experience exhaustion and other health disorders. The aim of this research is to illustrate the effects Musculoskeletal Symptoms (MSS) on drivers, their specific factors, as well as environmental factors towards 41 light vehicles professional drivers in 2020. This research is also a measure of risk levels of posture with REBA method on light vehicle drivers of toyota hiace at PT ACD Indonesia. The research method used is descriptive, qualitative, and observational with quantitative approach which applied to team SMO transportation at PT ACD Indonesia, especially in district of Duri. With this method, the researcher wants to get images of muscles and bones complaints also to figure ergonomic risk level using REBA method. Employee data is analyzed based on age, driving experiences, IMT, workout habit, smoking habits, driving duration, period of employment, work posture, physical and non- physical factors. The results of this research is drivers within the age group of 24-34 years old and period of employment less than 10 years never experience injuries and musculoskeletal complaints. Work pattern 5:2 with driving durations of 3 hours or more work responsibilities show 100% respondents experience musculoskeletal complaints on some of their body parts such as necks, backs, and calves. Drivers who of heights of 161 to 170 cm experience some complaints on their necks. Meanwhile those who work out a minimum three times a week for a minimum of 30 minutes per day dominantly experience musculoskeletal complaints on necks, the bottom of their backs, buttocks/thighs and calves. Based on this study, it is concluded that driving demands with high concentration can cause muscles constraints on their body parts, this can be seen on 90.2% respondents who experience musculoskeletal complaints on their body parts, meanwhile 9.8% do not experience any complaints, with 51.2% experience complaints on necks, 51.2% on the bottom of the backs, 56.1% on buttocks/thighs and 61.0% on calves. whereas, the biggest ergonomic risk level using REBA method while driving is when one has to turn steering wheel and also the dominant posture.