ANALISIS TINGKAT KEBISINGAN DAN UPAYA PENGENDALIAN PENYAKIT AKIBAT KERJA DI AREA MINING PT. XYZ, SUMBAWA BARAT, NUSA TENGGARA BARAT

Aspek K3 berorientasi menciptakan lingkungan kerja yang aman, nyaman, dan sehat bagi pekerja. Industri pertambangan memiliki tingkat resiko cukup tinggi khususnya terkait kebisingan di tempat kerja yang berasal dari intensitas suara tinggi pada aktivitas penambangan, peledakan, alat, mesin, dan perbengkelan. Penelitian dilakukan di area penambangan PT. XYZ, salah satu perusahaan tambang terbuka yang berlokasi di Sumbawa Barat, Nusa Tenggara Barat dengan pengukuran kebisingan dilakukan dengan metode personal sampling dilakukan menggunakan peralatan Edge 5, dan mengetahui upaya pengendalian kebisingan dengan cara observasi dan wawancara mendalam dengan metode deskriptif kualitatif. Hasil penelitian didapatkan pembagian 12 Similar Exposure Group (SEG) di area mining PT.XYZ dengan hasil pengukuran kebisingan personal menunjukkan rentang 81.1-87 dB dengan SEG tertinggi di area Mine Batch Plant dan terendah di SEG Mine Drill Sampler. PT. XYZ telah melakukan upaya pengendalian kebisingan dengan prinsip hirarki kontrol yaitu eliminasi, substitusi, rekayasa teknik, administrasi, dan alat pelindung diri.Keywords: Kebisingan, K3, Mining, Similar Exposure Group, Hirarki Kontrol ABSTRACTOccupational Health and Safety aspects create a safe and healthy work environment for workers. The mining industry has a high level of risk, especially related to workplaces originating from high noise intensity in mining, explosions, tools, and machinery and workshop activities. The research was conducted in the mining area of PT. XYZ, a company located in West Sumbawa, West Nusa Tenggara Province, was carried out using a private sampling method using Edge 5 equipment, and knowing control efforts by observation and in-depth qualitative descriptive methods. The results showed that there were 12 Similar Exposure Groups (SEG) in the mining area of PT. XYZ. Personal noise dosimetry measurement results showing a range of 81.1-87 dB with the highest SEG in the Mine Batch Plant area and the lowest in the SEG Mine Drill Sampler. PT. XYZ has carried out control efforts with the principles of the control hierarchy, namely elimination, substitution, engineering, administration, and personal protective equipment.Keywords: Noise, OHS, Mining, Similar Exposure Groups, Hierarchy Control

A Bayesian Approach for Determining the Relationship Between Various Elongate Mineral Particles (EMPs) Definitions

A variety of dimensions (lengths and widths) of elongate mineral particles (EMPs) have been proposed as being related to health effects. In this paper, we develop a mathematical approach for deriving numerical conversion factors (CFs) between these EMP exposure metrics and applied it to the Minnesota Taconite Health Worker study which contains 196 different job exposure groups (28 similar exposure groups times 7 taconite mines). This approach comprises four steps: for each group (i) obtain EMP dimension information using ISO-TEM 10312/13794 analysis; (ii) use bivariate lognormal distribution to characterize overall EMP size distribution; (iii) use a Bayesian approach to facilitate the formation of the bivariate lognormal distribution; (iv) derive conversion factors between any pair of EMP definitions. The final CFs allow the creation of job exposure matrices (JEMs) for alternative EMP metrics using existing EMP exposures already characterized according to the National Institute of Occupational Safety and Health (NIOSH)-defined EMP exposure metric (length >5 µm with an aspect ratio ≥3.0). The relationships between the NIOSH EMP and other EMP definitions provide the basis of classification of workers into JEMs based on alternate definitions of EMP for epidemiological studies of mesothelioma, lung cancer, and non-malignant respiratory disease.

AltrexChimie, a Web Application for the Management and the Interpretation of Occupational Exposure Measurements to Chemical Substances

In most occupational settings, several chemical agents are commonly found, and the associated exposure risk for workers must be assessed. For this purpose, air samples can be collected and analyzed. AltrexChimie is a web application that helps industrial hygienists in the organization of the air sampling strategy and in the subsequent phases of data management, analysis, and communication. AltrexChimie contains a database of more than 550 chemical substances and their respective French Occupational Exposure Limit Values (OELV): Custom OELVs can also be defined by the user. AltrexChimie helps with the definition of key features of the sampling strategy, in particular by promoting a methodology for the design of Similar Exposure Groups (SEGs). Once measurement data are entered, they can be analyzed to obtain exposure diagnostics. Data management features allow for the easy storage and retrieval of measurements, and comprehensive dashboards help industrial hygienists (IHs) in the communication of results. Finally, with AltrexChimie it is also possible to assess exposure to multiple chemical substances and their additive effects. While most free software applications for the assessment of chemical exposure focus on the statistical computation of specific indicators, AltrexChimie offers several tools to assist IHs in the exposure assessment workflow.

Occupational Exposure of Noise Level in Opencast Iron Ore Mines in India

Mining in general has become essential industry sector for the sustaining growth of any developing country. In India iron ore mining is mainly mechanised and well developed industry sector, using highly mechanised equipments and technology for excavation and processing of mined iron ore. It is due to this reason iron ore mining seen as a one of the major sector responsible for workplace occupational health hazard particularly for noise related health impacts on workers health. The objective of this study was to ascertain the job specific noise exposure among the Similar Exposure Groups (SEGs). Total 133 personal noise dosimeter samples were collected from different job category and working areas of iron ore mining and processing sector. It was observed that the participated workers in the crushing area were exposed to 81.64 dB (A), Heavy Earth Moving Machineries (HEMM) operators 86.10 dB (A), loading plant workers 83.76 dB (A), screening plant workers 87.62 dB (A) and mines operation and workshop workers 84.92 dB (A). During the study specifically HEMM operators were highly exposed to workplace noise, with 46% samples exceeding warning limit and 18% exceeding danger limit prescribed by Directorate General of Mines Safety (DGMS), Government of India. It was felt necessary to augment the awareness and safety training to the workers for proper implementation of preventive measure for workplace noise exposure.