Perencanaan Optimasi Pit Tambang Batubara Berbasis Structured Query Language (SQL) Terintegrasi Pada Peraturan Pemerintah Nomor 26 Tahun 2022

Abstract

Pit optimization in mining is utilized to determine the most optimal pit limit (ultimate pit limit). Pit optimization is influenced by geological resource model variables and economic parameters. Economic parameters considered in pit optimization include coal selling price, overburden production costs, coal mining costs, and royalties. The benchmark coal price and royalties have been regulated in Ministerial Decree No. 227.K/MB.01/MEM.B/2023 and Government Regulation Number 26 of 2022 Optimizing pit using the Lerchs Grossman algorithm method manually requires a significant amount of time in its implementation.. Advancements in technology have made pit optimization possible using Structured Query Language (SQL) found in mining modeling software. This research aims to optimize coal resources at the research location based on Structured Query Language (SQL), which can perform pit optimization quickly, accurately, and economically, considering the latest regulations related to royalty payments found in Government Regulation Number 26 of 2022. The research is located in Kutai Timur, East Kalimantan. The research is conducted by analyzing the processing of data based on secondary data collected during the research. The selection of mining limits uses the break-even stripping ratio (BESR) analysis method, where the break-even stripping ratio (BESR) is influenced by economic variables, namely benchmark coal prices, overburden mining costs, and coal mining costs. The selected incremental stripping ratio (ISR) value of 11.76 is close to the break even stripping ratio (BESR) value of $13.44/ton. The incremental stripping ratio (ISR) value is found in optimization grid prefix OPR015. The resulting mining limit is used in pit design using mining modeling software. The pit design is formed with parameters determined based on Ministerial Decision No. 1827 K/30/MEM/2018 Year 2018. The formed pit design has a stripping ratio (SR) value of 9.8 with a total volume of overburden removed of 2,352,344,689.00 BCM and coal of 239,376,336 tons.

Keywodrs: Coal, Pit Optimization, Regulations, Structured Query Language (SQL)