Publish Date
30 Nov -0001
<![CDATA[Abtract. This research aims to design an optimized short-term mine sequence to fulfill the specific production target of type 3A coal for the September 2025 period at Pit 81W, PT Antareja Mahada Makmur (AMM), Perkasa Inakakerta Jobsite. The main problem lies in the uncertainty of the tonnage distribution of type 3A coal, which requires high-precision scheduling. The research methodology integrates geological modeling using software and software-based scheduling on seams S74, S79, S79U1, S80, and S81. The optimization results indicate that the total production of type 3A coal reached 202,629 tons, exceeding the company's initial target of 121,338 tons. The volume of overburden removed was 1,469,974 BCM with an optimized stripping ratio (SR) of 7.00, lower than the initial target of 7.51. This success is based on the application of Standard Operational Parameters (SPO) with a Machine Availability (MA) of 90%, Physical Availability (PA) of 90%, Utilization of Availability (UA) of 66.5%, and average Effective Working Hours (EWH) of 14.35 hours. The use of software significantly improved the accuracy of synchronization between mine advancement and the allocation of mechanical units. Abstrak. Penelitian ini bertujuan untuk merancang urutan penambangan (mine sequence) jangka pendek yang dioptimalkan untuk pemenuhan target produksi batubara spesifik tipe 3A pada periode September 2025 di Pit 81W, PT Antareja Mahada Makmur (AMM), Jobsite Perkasa Inakakerta. Permasalahan utama terletak pada ketidakpastian distribusi tonase batubara tipe 3A yang memerlukan penjadwalan presisi tinggi. Metodologi penelitian mengintegrasikan pemodelan geologi menggunakan perangkat lunak dan penjadwalan berbasis perangkat lunak per pada seam S74, S79, S79U1, S80, dan S81. Hasil optimasi menunjukkan total produksi batubara tipe 3A mencapai 202.629 ton, melampaui target awal perusahaan sebesar 121.338 ton. Volume overburden yang dipindahkan sebesar 1.469.974 BCM dengan stripping ratio (SR) hasil optimasi sebesar 7,00, lebih rendah dibandingkan target awal 7,51. Keberhasilan ini didasarkan pada penerapan Standar Parameter Operasional (SPO) dengan nilai Machine Availability (MA) 90%, Physical Availability (PA) 90%, Utilization of Availability (UA) 66,5%, dan rata-rata Effective Working Hours (EWH) 14,35 jam. Penggunaan perangkat lunak secara signifikan meningkatkan akurasi sinkronisasi antara kemajuan tambang dengan alokasi unit mekanis.]]>
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