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Kajian Teknis Daya Dukung Tanah untuk Menentukan Kapasitas Optimum Stockpile Utama PT Putra Muba Coal Zella Navtalia; Hisni Rahmi; Muhammad Faisal Seprizal; Diah Wully Agustine; Dimas Agung Permadi; Andy Yanottama
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i1.4777

Abstract

Settlement of the ground floor of stockpile is caused by ground pressure of coal pile which is bigger than stockpile floor bearing capacity leads to bury under of some coal. So it is needed to do a study of optimum capacity by stockpile floor bearing capacity. Study of stockpile optimum capacity is started by calculating Californian Bearing Ratio (CBR) of stockpile subgrade using dynamic cone penetrometer in some location on each of the stockpile compartment. CBR value of stockpile subgrade converted into bearing ratio, so the maximum tonage of stockpile can be known. By considerating of pile height, angle of repose of low grade coal, monthly production target, and the road geometry for mechanical equipment access purpose, the optimum capacity of PT Putra Muba Coal stockpile is 198.549,95 ton, which divided into seven coal piles.
Analisis Balik Kestabilan Lereng Highwall di Pit Pandu PT. Putra Muba Coal Kabupaten Musi Banyuasin Provinsi Sumatera Selatan Andy Yanottama; Muhammad Faisal Seprizal; Jarot Wiratama; Zella Navtalia; Leta Lestari
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.5849

Abstract

Putra Muba Coal is one of the subsidiaries under the MNC Group, operating in the coal mining sector with an IUP (Mining Business Permit) area covering 2,947 hectares. During its mining operations at the Pandu Pit, PT. Putra Muba Coal experienced a landslide incident on the highwall side. Therefore, a back-analysis using the deterministic method was conducted to determine the material property values that led to the slope failure in the mining area. The slope material consists of claystone and siltstone layers, each with a cohesion value of 192.3 kN/m² and 157.0 kN/m², and internal friction angles of 25.3° and 24.4°, respectively. Based on the back-analysis results, it was found that there was a decrease in material property values, with cohesion reduced by 91% and the internal friction angle reduced by 29%. This reduction in material properties suggests that the decrease in cohesion was the primary factor causing the highwall slope failure, as indicated by the back-analysis of slope stability which resulted in a safety factor of (SF = 1.008).