Analisis Perhitungan Volume Overburden Berdasarkan Data Survey Area PIT  dan Disposal Serta Data Truck Count  di  PT Jaga Aman Sejahtera

Fitri  Amalia; Anshariah Anshariah; Alam Budiman Thamsi

doi:10.58227/jmi.v2i4.282

Authors

Fitri Amalia
Anshariah Anshariah Universitas Muslim Indonesia
Alam Budiman Thamsi Universitas Muslim Indonesia

DOI:

https://doi.org/10.58227/jmi.v2i4.282

Keywords:

Cut and Fill, Overburden, Real Time Kinematic, Survey, Truck Count

Abstract

Penelitian ini bertujuan menganalisis perbedaan perhitungan volume overburden antara metode survey dan truck count di PT Jaga Aman Sejahtera selama periode Januari-Maret 2025. Data survey menggunakan real time kinematic untuk area pit dan disposal diolah dengan software Surpac 2020 metode cut and fill, sedangkan perhitungan truck count berdasarkan ritase dikali volume vessel. Hasil penelitian menunjukkan volume overburden berdasarkan survey area pit untuk bulan Januari, Februari, dan Maret berturut-turut adalah 140.326,82 m³, 174.175,59 m³, dan 118.678,75 m³, sedangkan berdasarkan survey area disposal adalah 139.715,34 m³, 174.861,58 m³, dan 109.275,08 m³. Volume berdasarkan truck count menunjukkan angka 148.508,00 m³, 194.679,90 m³, dan 133.848,30 m³. Selisih terbesar terjadi antara survey area pit dengan truck count pada bulan Februari sebesar 20.504,31 m³, dan antara survey area disposal dengan truck count pada bulan Maret sebesar 24.573,22 m³. Faktor-faktor penyebab perbedaan meliputi material yang menempel pada bucket excavator, ketidaksesuaian prosedur operasional dimana operator hanya mengisi empat bucket dari standar lima bucket, kurangnya akurasi data survey, material overburden yang kembali ke vessel karena sifat basah dan lengket, distribusi material yang melampaui batas area disposal, dan adanya longsoran di area disposal. Untuk mengatasi permasalahan ini, penelitian merekomendasikan perbaikan prosedur pengambilan data survey, penerapan pengawasan yang lebih ketat dan pemberian batasan area disposal yang jelas.

References

Balamurali, M. (2023). Inferencing the earth moving equipment-environment interaction in open pit mining. arXiv preprint arXiv:2302.02130.

Cahyadi, R., Iskandar, I., & Aprianto, D. (2022). The Pit Design Planning and Planning Result Evaluation of Overburden Front From West to East Using Minescape Version 5.7 Software at PT XYZ. International Journal of Social Science, 2(4), 1959-1968.

Chen, L., Fan, S., Zhao, C., Zhang, L., & Cheng, Z. (2019). Calculation method of overburden damage height based on fracture mechanics analysis of soft and hard rock layers. Geofluids, 2019(1), 3790264.

Hasözdemir, K., Meral, M., & Kahraman, M. M. (2025). Revolutionizing Open-Pit Mining Fleet Management: Integrating Computer Vision and Multi-Objective Optimization for Real-Time Truck Dispatching. Applied Sciences, 15(9), 4603.

Harsiga, E., & Pebrianto, R. (2023, December). Analysis of difference in results of overburden production volume using Surpac 6.5. 1 software and truck count method at Pit 2 PT. Baturona Adimulya. In IOP Conference Series: Earth and Environmental Science (Vol. 1267, No. 1, p. 012087). IOP Publishing.

Oggeri, C., Fenoglio, T. M., Godio, A., & Vinai, R. (2019). Overburden management in open pits: options and limits in large limestone quarries. International Journal of Mining Science and Technology, 29(2), 217-228.

Pratama, M. H., Arifin, D., Insanu, R. K., & Kurniadin, N. (2023). Evaluasi Nilai Volume Produksi Overburden di PT Ansaf Inti Resources Site Berambai Bulan September 2022. Journal of Geomatics Engineering, Technology, and Science, 2(1), 14-17.

Saputra, M. R., Herdiansyah, A., & Wijaya, A. (2024, December). Achievement of overburden stripping production targets based on the calculation of cut-and-fill volume and truck count at Pit Middle West PT Cipta Bersama Sukses job site Tungkal Jaya. In IOP Conference Series: Earth and Environmental Science (Vol. 1422, No. 1, p. 012034). IOP Publishing.

Shi, X., & Zhang, J. (2021). Characteristics of overburden failure and fracture evolution in shallow buried working face with large mining height. Sustainability, 13(24), 13775.

Sun, X., Li, X., Xiao, D., Chen, Y., & Wang, B. (2021). A method of mining truck loading volume detection based on deep learning and image recognition. Sensors, 21(2), 635.

Wajs, J. (2015). Research on surveying technology applied for DTM modelling and volume computation in open pit mines. Mining Science, 22, 75-83.

Zhu, H., Fang, S., Huo, Y., Guo, J., Wu, Y., & Hu, L. (2020). Study of the dynamic development law of overburden breakage on mining faces. Scientific Reports, 10(1), 6555.