GIS-based mapping of noise from mechanized minerals ore processing industry
Susanto Arif,
Setyawan Dony O.,
Setiabudi Firman,
Savira Yenni M.,
Listiarini Aprilia,
Putro Edi K.,
Muhamad Aditya F.,
Wilmot John C.,
Zulfakar Donny,
Kara Prayoga,
Shofwati Iting,
Sodikin Sodikin,
Tejamaya Mila
Affiliations
Susanto Arif
Green Technology Research Center, Doctorate Program in Environmental Science, School of Postgraduate Studies Universitas Diponegoro, Semarang 50241, Indonesia; Department of Environmental Engineering, Faculty of Civil and Planning Engineering, Universitas Kebangsaan Republik Indonesia, Bandung 40268, Indonesia; Industrial Hygiene & Environmental Health, Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Setyawan Dony O.
GIS-Section, GeoData & Modeling, Department of Geologic Data Management, Geo-Engineering Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Setiabudi Firman
GIS-Section, GeoData & Modeling, Department of Geologic Data Management, Geo-Engineering Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Savira Yenni M.
Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Listiarini Aprilia
Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Putro Edi K.
Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Muhamad Aditya F.
Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia, Tembagapura99960, Indonesia
Wilmot John C.
Department of Mill Operation, Concentrating Division of PT Freeport Indonesia, United States of America
Zulfakar Donny
Department of Mill Maintenance, Concentrating Division of PT Freeport Indonesia, Tembagapura, 99960, Indonesia
Kara Prayoga
Department of Industrial Hygiene & Occupational Health, Division of Occupational Health & Safety, PT Freeport Indonesia, Tembagapura 99960, Indonesia
Shofwati Iting
Department of Occupational Safety and Health, Faculty of Health Science, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Banten15419, Indonesia
Sodikin Sodikin
Department of Occupational Safety and Health, Faculty of Health Science, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Banten15419, Indonesia
Tejamaya Mila
Department of Occupational Safety and Health, Faculty of Public Health, Universitas Indonesia, Depok 16424
Monitoring workers’ exposure to occupational noise is essential, especially in industrial areas, to protect their health. Therefore, it is necessary to collect information on noise emitted by machines in industries. This research aims to map the noise from mechanized mineral ore industry using the kriging interpolation method, and ArcGIS 10.5.1 to spatially process and analyze data. The experimental calculation result of the semivariogram showed a 0.83 range value, with an essential parameter of 1.75 sill and a spherical total theoretical model. The result shows that the main machines with the highest power consumption and the Leq value are located in the southwest position of the sampled areas with a noise map-projected to assess the workers’ noise exposure level. In conclusion, the study found that the highest noise level was generated ranged from 88 to 97 dBA and contributed to the whole sound pressure level at certain positions.
