Analisis Perbedaan Volume Material Antara Metode Truck Count dan Mine Survey pada Kegiatan Penambangan Terbuka (Studi Kasus Pit Lokma PT. Serinding Sumber Makmur, Kalimantan Barat)

Authors

  • Dewi Nur Setiani Tanjungpura University
  • Murad MS Tanjungpura University
  • Ricka Aprillia Tanjungpura University

DOI:

https://doi.org/10.26418/jtllb.v14i1.100248

Keywords:

Deviation, Mine Survey, Material Volume, Truck Count.

Abstract

PT. Serinding Sumber Makmur (PT. SSM) is a gold mining company operating an open-pit system in Ketapang Regency, West Kalimantan. In practice, discrepancies are often found between material volume calculations using the Truck Count and Mine Survey methods, which can affect production targets and gold recovery levels. This study aims to evaluate the volume differences between the two methods at Pit Lokma of PT. SSM and to identify the contributing factors. The research analyzed ore and overburden volumes for June 2025 using both methods. Results show that the Truck Count method recorded 30,929.47 BCM, while the Mine Survey method measured 33,759.94 BCM. The difference of 2,830.47 BCM resulted in a deviation of 8.38%, exceeding the ASTM tolerance (±2.78%) but still within the company’s internal standard (90% ≤ x ≤ 110%), with a value of 109.15%. Key factors contributing to the deviation include variations in dump truck loads, hauling road conditions during rainfall, material hardness, recording errors, and insufficient survey point density. Recommended improvements include load standardization, regular vessel capacity evaluation, better road maintenance, improved recording accuracy, and denser survey point measurements. These findings highlight the importance of integrating both methods with consistent technical control to enhance volume measurement accuracy and support optimal gold recovery.

Author Biographies

Dewi Nur Setiani, Tanjungpura University

Undergraduate student, Department of Mining Engineering, Faculty of Engineering

Murad MS, Tanjungpura University

Lecturer, Department of Mining Engineering, Faculty of Engineering

Ricka Aprillia, Tanjungpura University

Lecturer, Department of Mining Engineering, Faculty of Engineering

References

Adam, F. S. (2025). Evaluation of Survey Factors on Truck Count and Achievement of Actual Volume of Mining in July 2024. INTAN Jurnal Penelitian Tambang, 8(1). https://doi.org/10.56139/intan.v8i1.282

Ali, M. M. (2022). Metodologi Penelitian Kuantitatif dan Penerapan Nya dalam Penelitian. JPIB: Jurnal Penelitian Ibnu Rusyd, 1(2), 1–5.

Alsayed, A., & Nabawy, M. (2023). Stockpile Volume Estimation in Open and Confined Environments: A Review. Drones, 7(1), 12. https://doi.org/10.3390/drones7010012

Amalia, F., Anshariah, A., & Thamsi, A. B. (2024). Analisis Perhitungan Volume Overburden Berdasarkan Data Survey Area PIT dan Disposal Serta Data Truck Count di PT Jaga Aman Sejahtera. Journal of Mining Insight, 2(4), 91–96. https://doi.org/10.58227/jmi.v2i4.282

Azzumardi, A., Budisusanto, Y., & Yuwono, Y. (2022). Analisis Interval Jarak Profil Melintang Terhadap Perhitungan Volume Pada Jalan Lurus dan Jalan Berbelok. Geoid, 18(1), 124–135. https://doi.org/10.12962/j24423998.v18i1.12205

Basar, N. L., Hartono, & Robial, S. M. (2024). Rainfall duration’s impact on mining earthmoving equipment performance – Case study at PT. BUMA GEO-AJE, South Kalimantan. Jurnal Teknik Sipil Dan Perencanaan, 26(2), 77–88. https://doi.org/10.15294/jtsp.v26i2.9013

Choi, Y., Nguyen, H., Bui, X.-N., & Nguyen-Thoi, T. (2022). Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods. Resources Policy, 75, 102522. https://doi.org/10.1016/j.resourpol.2021.102522

Chou, J.-S., & Liu, C.-H. (2021). Automated Sensing System for Real-Time Recognition of Trucks. Sensors, 21(2), 555. https://doi.org/10.3390/s21020555

Das, R., Topal, E., & Mardaneh, E. (2024). Concurrent optimisation of open pit ore and waste movement with optimal haul road selection. Resources Policy, 91, 104834. https://doi.org/10.1016/j.resourpol.2024.104834

Fauzah, D., Nurany, N., & Firman, F. (2023). Evaluasi Kemajuan Tambang Triwulan ke {IV} (Oktober--Desember) 2022 Pada Tambang Bijih Besi {PT}. {Bintani} Megahindah Kabupaten Pulau Taliabu Provinsi Maluku Utara. Jurnal Teknologi Sumberdaya Mineral, 4(2), 45–52. https://doi.org/10.19184/jeneral.v4i2.41847

Firmansyah, A., Yuwono, B. D., & Budisusanto, Y. (2023). Analisis Perbandingan Volume Cut and Fill dan Perhitungan Variasi Interval Jarak Penampang Profil Melintang (Cross Section). Kokoh, 21(1), 29–40. https://doi.org/10.17509/k.v21i1.61024

Firoozi, A. A., Tshambane, M., Firoozi, A. A., & Sheikh, S. M. (2024). Strategic load management: Enhancing eco-efficiency in mining operations through automated technologies. Results in Engineering, 24, 102890. https://doi.org/10.1016/j.rineng.2024.102890

Hardianti, S., & Rohimin, M. (2023). Perbandingan Volume Produksi Overburden pada Survey Progress dengan Metode Ritase Alat Angkut pada {PT}. {ABC}, Kabupaten Musi Banyuasin. Jurnal Pertambangan, 7(3), 122–126. https://doi.org/10.36706/jp.v7i3.1583

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. https://doi.org/10.3390/app15094603

Hasvah, R., & Maiyudi, R. (2021). Perbandingan Volume Overburden Berdasarkan Data Survey dengan Data Truck Count pada Pit Section 2 Timur {PT}. {Budi} Gema Gempita Kabupaten Lahat, Sumatera Selatan. Journals Mining Engineering: Bina Tambang, 6(5), 97–106. https://doi.org/10.24036/bt.v6i5.115148

Hendri, G. O., Maiyudi, R., Prabowo, H., & Anarta, R. (2023). Evaluasi Pengupasan Volume Overburden Menggunakan Data Truck Count Monitoring dan Joint Survey di Pit Batu Tegak {PT}. {Andalan} Artha Primanusa Jobsite {PT}. {Budi} Gema Gempita, Merapi Timur, Kabupaten Lahat, Sumatera Selatan. Journals Mining Engineering: Bina Tambang, 8(2), 90–97. https://doi.org/10.24036/bt.v8i2.125057

Kang, H., Lee, K., Shin, H., Kim, J., & Lee, W. (2025). Accuracy assessment of ground extraction and earthwork volume estimation through UAV LiDAR reflectance intensity filtering based on an unsupervised learning algorithm. KSCE Journal of Civil and Environmental Engineering Research, 45(2), 265–276. https://doi.org/10.12652/Ksce.2025.45.2.0265

Kurniawan, S., & Okdinawati, L. (2024). Optimizing Coal Production Estimates: Balancing Topographic Surveys Method and Truck Counts Method at Pit Kress, {PT}. {Bordun} Indie, South Kalimantan, Indonesia. Asian Journal of Engineering, Social and Health, 3(11), 2505–2519. https://doi.org/10.46799/ajesh.v3i11.446

Kuznetsov, D., & Kosolapov, A. (2022). The dynamics of performance of open-pit dump trucks in ore mining in a severe climatic environment. Transportation Research Procedia, 63, 1042–1048. https://doi.org/10.1016/j.trpro.2022.06.104

Lee, K., & Lee, W. H. (2022). Earthwork volume calculation, 3D model generation, and comparative evaluation using vertical and high-oblique images acquired by uncrewed aerial vehicles. Aerospace, 9(10), 606. https://doi.org/10.3390/aerospace9100606

Lu, B., Zhu, J., Ge, Y., Chen, Q., Wen, Z., Liu, G., & Li, L. (2023). Stockpile volume estimation based on terrestrial laser scanner data acquisition: A case study in a steel enterprise. Remote Sensing, 15(18), 4604. https://doi.org/10.3390/rs15184604

Luan, B., Zhou, W., Ao, Z., Han, Z., & Xiao, Y. (2025). Fuel-Efficient Road Classification Methodology for Sustainable Open Pit Mining. Applied Sciences, 15(11), 6309. https://doi.org/10.3390/app15116309

Manik, F. K., Marpaung, N. D., & Sitohang, R. (2022). Perbandingan Perhitungan Volume Overburden yang Terbongkar antara Metode Truck Count dan Metode Survey pada {PT}. Bara Adhipratama Ulok Kupai Job Site Bengkulu Utara. Jurnal Ruang Luar Dan Dalam, 4(2), 210–220.

Mantey, S., & Aduah, M. S. (2021). Comparative analysis of stockpile volume estimation using {UAV} and {GPS} techniques. Ghana Mining Journal, 21(1), 1–10. https://doi.org/10.4314/gm.v21i1.1

Matsimbe, J., Mdolo, W., Kapachika, C., Musonda, I., & Dinka, M. (2022). Comparative utilization of drone technology vs. traditional methods for open-pit stockpile volumetric computation: A case study of Njuli quarry, Malawi. Frontiers in Built Environment, 8, 1037487. https://doi.org/10.3389/fbuil.2022.1037487

Maulana, I., & Kuncoro, B. (2025). Evaluasi Pendekatan Hybrid Dalam Pengukuran Volume Stockpile. Journal Serambi Engineering, 10(4), 15653–15659. https://ojs.serambimekkah.ac.id/serambi/article/download/1265/923

Muhiddin, I. (2023). Analisis Perbandingan Volume Overburden Menggunakan Metode Survei dengan Truck Count PT Keinz Ventura Kabupaten Morowali Utara Provinsi Sulawesi Tengah. Jurnal Aneka Tambang, 1(2). https://doi.org/10.33096/jat.v1i2.318

Nababan, I., Fidayanti, N., Ganang, N. M. A., Putrawiyanta, I. P., & Iashania, Y. (2024). Analisis Perbandingan Volume Overburden. Innovative: Journal Of Social Science Research, 4(4), 16203–16210. https://doi.org/10.31004/innovative.v4i4.14243

Niskanen, I., Duan, G., Kolli, T., Immonen, M., Makkonen, T., & Heikkilä, R. (2025). Volume measurement of soil in excavator buckets by solid-state 3D LiDAR. Construction Robotics, 9, 21. https://doi.org/10.1007/s41693-025-00166-w

Niu, Z., Xia, H., Tao, P., & Ke, T. (2024). Improving vertical and volumetric measurements of UAV photogrammetry by multi-station RTK/PPK: A case study in Fuzhou, China. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X–1, 169–176. https://doi.org/10.5194/isprs-annals-X-1-2024-169-2024

Salu, S. P., & Silaban, C. (2024). Perbandingan Tonase Kemajuan Tambang Menggunakan Metode Mine Survey Terhadap Realisasi Penambangan di Bukit Everest {PT}. {Antam} {Tbk}. {UBPN} Sulawesi Tenggara. G-Tech: Jurnal Teknologi Terapan, 8(1), 434–443. https://doi.org/10.33379/gtech.v8i1.3789

Saputra, M. R., Herdiansyah, A., & Wijaya, A. (2024). 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. IOP Conference Series: Earth and Environmental Science, 1422(1), 12034. https://doi.org/10.1088/1755-1315/1422/1/012034

Šašak, J., Kavnuk, J., Rusnák, M., & Šupinský, J. (2024). Impact of data structure types and spatial resolution on landslide volumetric change measurements. Geodesy and Cartography, 50(4), 179–197. https://doi.org/10.3846/gac.2024.20647

Sepriadi, S., Adiwarman, M., Perdana, R., & Putra, P. (2023). Analisis Perbandingan Volume Overburden Berdasarkan Data Survey Menggunakan Software Surpac 6.5.1 Dengan Data Truck Count Pada Pit Pandu {PT} Putra Muba Coal. Jurnal Ilmiah Teknik Dan Sains, 1(2), 100–105. https://doi.org/10.62278/jits.v1i2.18

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. In Bandung: Alfabeta. https://doi.org/10.1017/CBO9781107415324.004

Sun, X., Li, X., Xiao, D., Chen, Y., & Wang, B. (2021a). A Method of Mining Truck Loading Volume Detection. Sensors, 21(2), 635. https://doi.org/10.3390/s21020635

Sun, X., Li, X., Xiao, D., Chen, Y., & Wang, B. (2021b). A method of mining truck loading volume detection based on deep learning and image recognition. Sensors, 21(2), 635. https://doi.org/10.3390/s21020635

Vera-Burau, A., Álvarez-Ramírez, D., Sanmiquel, L., & Bascompta, M. (2023). A comparison of the fuel consumption and truck models in different production scenarios. Applied Sciences, 13(9), 5769. https://doi.org/10.3390/app13095769

Yanwari, M. I., & Enriko, I. K. A. (2022). Rear Dump Truck Measurement Design Using Laser. JAICT, 7(2). https://doi.org/10.32497/jaict.v7i2.3648

Zhang, X., & Chen, M. (2023). Statewide truck volume estimation using probe vehicle data and machine learning. Transportation Research Record, 2677(8), 588–601. https://doi.org/10.1177/03611981231157400

Downloads

Published

2026-01-30