GIS-based mapping of noise from mechanized minerals ore processing industry

Arif Susanto, Dony O. Setyawan, Firman Setiabudi, Yenni M. Savira, Aprilia Listiarini, Edi K. Putro, Aditya F. Muhamad, John C. Wilmot, Donny Zulfakar, Prayoga Kara, Iting Shofwati, Sodikin Sodikin, Mila Tejamaya

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalNoise Mapping
Issue number1
Publication statusPublished - 1 Jan 2021


  • ArcGIS
  • mill concentrator
  • noise mapping
  • ordinary kriging
  • ore processing


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