Ditemukan 38706 dokumen yang sesuai dengan query :: Simpan CSV
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 Tesis ini membahas karakteristik dan profil dari safety leadership (SL) pada posisi Supervisor, Foreman dan Leadman pada pada projek MHBL di PT. AD yang merupakan tambang batubara. Selain penilaian dilakukan dari sisi supervisor, foreman dan leadman, juga dilakukan penilaian dari sisi operator yang dipimpin langsung oleh ketiga posisi manajemen lini tersebut.Penelitian ini adalah penelitian semi kuantitatif dengan desian deskriptif, dimana objek penelitian terdiri dari 4 posisi: supervisor, foreman, leadman dan operator. Penelitian ini menggunakan pendekatan teori dari Thomas Krause (2005) mengenai safety leadership yang dipengaruhi oleh 4 faktor: Personality, Transformational Leadership Style, Best Practices dan Organizational Culture. Peneliti hanya menggunakan 3 variabel pertama sebagai konsep penelitian. Hasil penelitian menunjukkan bahwa supervisor, foreman dan leadman menunjukkan hasil yang belum optimal dalam pemenuhan safety leadership di tempat kerja.Sedangkan hasil penilaian operator terhadap safety leadership supervisor, foreman dan leadman di tempat kerja menunjukkan hasil yang baik pada variabel transformational leadership dan best practices, namun pada variabel personality belum memenuhi kriteria safety leadership.
ABSTRACT This research discussed the characteristic and profile of Safety Leadership in job position of Supervisor, Foreman and Leadman in MHBL project at PT. AD which is the second largest coal producer in Indonesia. The evaluation also conducted on operator/ tradesman level which directly supervise within those three levels of frontline management.It?s a semi quantitative research with descriptive design, in which the research objects are four job positions: supervisor, foreman, leadman and operator. The approach being used in this Thesis is Thomas Krause?s theory (2005) of Safety Leadership, which influenced by four factors: Personality, Transformational Leadership Style, Best Practices and Organizational Culture. Researcher took three variables and excludes the organizational culture, as the concept of the research.The result shows that supervisor, foreman and leadman has not fulfil the criteria of safety leadership in their workplace, while the evaluation form operator shown that their supervisor, foreman and leadman already fill the transformational leadership and best practices criteria, although the personality criteria hasn?t fully achieved in safety leadership.
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.
Most companies in various industries that have Occupational Safety and Health Management Systems implement Job Safety Analysis (JSA). Studies recommend that JSA must has high quality. The highest cause of incidents in drilling and workover operations of PT XYZ was related to JSA quality. From February to July 2019, PT XYZ conducted hazard analysis trainings. This study was conducted to determine the effect of training provided for workover operations leaders at PT XYZ in improving the quality of JSA. Training was conducted with 10-11 participants, interactive in classroom, referred to PT XYZ's procedures on hazard analysis, macro horizon in making JSA, and positioning of risk assessment in JSA with the Risk Register. Participants were trained to do hazard analysis in accordance with work, including identifying hazards and safeguards, knowing roles and responsibilities of each worker, two-way discussion, practice to develop JSA, and discussion. JSA quality data was taken by direct observation at work area. Ability of work leaders data was taken by asking them to make JSA from current work, supervised by a safety consultant appointed by the researcher. To maintain the standardization of assessments by safety consultants, the steps taken were planning, briefing, implementation, and evaluation. The same consultant assessed JSA before and after training with the same title. Work leaders who were assessed before and after training are the same people including team and rig. The SPC XL calculation results show the p-value (probability of error) of the t-Test on data before and after training is 0,000 or smaller than the significance level set by the researcher of α = 0.05 which means that the alternative hypothesis concludes that there is a change in the mean significantly. With a confidence level more than 99%, there is a significant change in the mean because (1-p) X 100 = 100 or almost 100. The work leader's score after training shows higher than before. The average score of 76 work leaders before training was 44.93 and the average score after training increased to 87.43.
