Survey of Coal Stock Opname Using Terrestrial Method at PT Lamindo Inter Multikon, Bunyu Site

Muhammad Taufik, Ahmad Ali Syafi'i, Romla Noor Hakim

Abstract


The mining industry's coal stock opname survey is a crucial process to ensure inventory data accuracy. This study observes the application of the terrestrial survey method in measuring coal stockpiles at PT Lamindo Inter Multikon, Bunyu Site, North Kalimantan. Data collection was conducted using a Total Station, which was then processed using SURPAC software to generate a Digital Terrain Model (DTM) and calculate the stockpile volume. The survey results were compared with weighbridge data to assess volume discrepancies. The findings showed that the stockpile volume was 71,161.918 m³, with a weight of 64,045.7262 tons. However, a comparison with weighbridge data revealed a discrepancy of 7,916.27 tons or 12.36%, exceeding the tolerance limit recommended in good mining practices. Factors contributing to this discrepancy include the moisture condition of the coal at the time of weighing and differences in the basement model used in DTM calculations. Therefore, improving the accuracy of basement data collection and implementing supporting infrastructure to minimize the impact of moisture on coal weight is necessary.


Keywords


stock opname survey, terrestrial method, Total Station, SURPAC, coal stockpile

References


Suhendra, A., Nugroha, P., & Setiawan, M. (2020). The Importance of Accurate Stockpile Surveys in Coal Mining Operations. International Journal of Mining Technology, 9(3), 98-112.

Hadi, B., Rahman, T., & Sari, D. (2021). Coal Stockpile Management and Its Impact on Inventory Discrepancies. Indonesian Journal of Mining Science, 8(3), 122-135.

Setiawan, M., & Nugraha, P. (2020). Evaluation of Surveying Techniques in Open-Pit Mining Operations. International Journal of Mining Technology, 9(3), 98-112.

Mulyanto, W., Basuki, R., & Prasetyo, F. (2022). Comparison of Total Station and Drone-Based Survey Methods for Stockpile Measurement. Geospatial Technology Review, 14(1), 88-101.

Saputra, E., & Widodo, R. (2021). The Role of Digital Terrain Modeling in Stockpile Measurement Using SURPAC Software. Geospatial Science Journal, 11(2), 75-89.

Wahyudi, A., Nugroho, R., & Prasetya, M. (2022). Evaluation of Survey Methods for Coal Stockpile Volume Estimation. Journal of Mining Surveying, 13(1), 90-102.

Mustafa, M., & Rahman, A. (2022). Impact of Moisture Content on Coal Inventory Management. Mining Logistics Journal, 9(2), 54-67.

Santoso, D., Kurniawan, B., & Wahyudi, A. (2023). LiDAR vs. Terrestrial Survey for Coal Stockpile Measurement: A Comparative Study. Journal of Mining Engineering, 16(2), 34-50.

Fadilah, A., Yulianto, P., & Kusnadi, H. (2021). Accuracy Analysis of Terrestrial Survey for Stockpile Volume Calculation. Mining Survey Journal, 10(1), 67-79.

Kementerian Energi dan Sumber Daya Mineral. (2018). Keputusan Menteri ESDM No. 1827K/30/MEM/2018 tentang Pedoman Pelaksanaan Kaidah Teknik Pertambangan yang Baik. Jakarta, Indonesia.




DOI: https://doi.org/10.20527/jhs.v10i1.14889

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Contact

Mining Engineering Study Program, Faculty of Engineering ULM

Jl. Jenderal Achmad Yani KM 35,5 Banjarbaru,

South Kalimantan – 70714

 

statistics counter

View My Stats Jurnal Himasapta

Jurnal Himasapta is licensed under a  Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License