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All Journal Journal of Geomatics Engineering, Technology, and Science
Angelina, Elok Aulia Noor
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Aerospace Engineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science

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Perhitungan Jumlah Volume Tonase Batubara di PT Ansaf Inti Resources Kutai Kartanegara Angelina, Elok Aulia Noor; Sutaji, Ahmad Aris Mundir; Itsnani SM, A. Arifin; Insanu, Radik Khairil
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 2 (2025): March 2025
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i2.48

Abstract

The purpose of this research is to explain the method of calculating coal volume using Gemcom Surpac 6.3 software. This research also aims to present the amount of coal tonnage in comparison to volume calculations for the period of November 2022. Calculating coal volume is crucial in determining the quantity of mineral deposits. This volume calculation is done as accurately and precisely as possible to produce accurate volume and tonnage. The method used in this research is net volume calculation (grid/borrow pit), where the excavation volume is the difference between cut and fill during a specific period. The data used in this research is secondary data. The results of this research are in the form of coal volume calculation and coal tonnage for one month of excavation in November 2022 using Gemcom Surpac software with the net volume method. From the calculation results, the coal volume is 139,309.26 tons, with each seam M being 66,116.02 tons, seam Q1 being 33,563.89 tons, and seam Q3 being 39,629.35 tons. For the density of newly excavated coal seams, it is 1.00, so it can be said that whatever the calculated coal volume using Gemcom Surpac software is the result of the tonnage itself. The result of coal volume calculation also has a standard deviation value of 1.96%. The calculation result does not exceed the standard deviation set by PT Ansaf Inti Resources, which is ≤ 3%  
Co-Authors Itsnani SM, A. Arifin Radik Khairil Insanu Sutaji, Ahmad Aris Mundir