Accuracy Analysis of Mining Material Volume Estimation Using Terrestrial Laser Scanning and UAV Photogrammetry

Dedi Wijaya, Gusti Ayu Jessy Kartini

Sari


Abstrak

Pengukuran volume stockpile batubara berperan penting dalam perencanaan produksi dan pengendalian logistik tambang. Penelitian ini mengevaluasi akurasi, efisiensi operasional, dan biaya survei menggunakan Terrestrial Laser Scanning (TLS) dan UAV fotogrametri pada stockpile batubara di Site Banko Barat, Sumatera Selatan. Akuisisi data dilakukan menggunakan TLS Riegl VZ-2000i dan UAV Wingtra Gen II. Hasil menunjukkan error registrasi TLS sebesar 0,0244 m dan UAV sebesar 0,0647 m. Volume yang dihasilkan masing-masing sebesar 170.625,147 m3 dan 168.580,104 m3, dengan selisih 1,199%, masih berada di bawah toleransi ASTM D6172-98 sebesar 2%. Perbedaan volume dipengaruhi mekanisme pembentukan point cloud, di mana TLS menghasilkan representasi elevasi yang lebih detail dibandingkan rekonstruksi Structure from Motion (SfM) pada UAV. UAV lebih efisien dari sisi waktu dan biaya, sedangkan TLS memberikan akurasi geometrik yang lebih tinggi sehingga keduanya dapat dipilih sesuai kebutuhan operasional.

Kata kunci: batubara, stockpile, akurasi, volume, TLS, UAV fotogrametri, point cloud

  

Abstract

Coal stockpile volume measurement is essential for production planning and mine logistics management. This study evaluates the accuracy, operational efficiency, and survey cost of Terrestrial Laser Scanning (TLS) and UAV photogrammetry for measuring a coal stockpile at Banko Barat Site, South Sumatra, Indonesia. Data were acquired using a Riegl VZ-2000i TLS and a Wingtra Gen II UAV. The registration errors were 0.0244 m for TLS and 0.0647 m for UAV. The calculated volumes were 170,625.147 m3 and 168,580.104 m3, respectively, with a difference of 1.199%, which is below the 2% tolerance specified by ASTM D6172-98. The volume discrepancy is attributed to differences in point cloud generation, where TLS provides more detailed elevation representation than Structure from Motion (SfM)-based UAV reconstruction. UAV offers greater time and cost efficiency, whereas TLS provides higher geometric accuracy, making both methods suitable depending on operational requirements.

Keywords: coal, stockpile, accuracy, volume, TLS, UAV photogrammetry, point cloud


Kata Kunci


batubara; stockpile; akurasi; volume; TLS; UAV fotogrametri; point cloud

Teks Lengkap:

PDF

Referensi


Borhan, Ahmad Sohibul., Fajrin., & Arini, Dwi. (2025). Perbandingan Volume Run Of Mine dengan Menggunakan Data Hasil Pengukuran Terrestrial Laser Scanner dan Unmanned Aerial Vehicle. Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan. Vol 3. No 3. 214-224.

Maulana, Muhammad Hafidh R & Kuncoro, Henri. (2025). Evaluasi Pendekatan Hybrid Dalam Pengukuran Volume Stockpile Batubara Menggunakan UAV, GNSS RTK dan Total Station. Serambi Engineering, X(4), 15653-15659.

Maryuningsih, Y. (2015). Analisis dampak industri Stockpile batu bara terhadap lingkungan dan tingkat kesehatan masyarakat desa pesisir rawaurip kec. pangenan kab. cirebon. Jurnal Scientae Educatia, 5(2).

Setyawan, D., & Susilo, Y. (2025). Analisis Perbandingan Volume Stockpile Batu Bara Hasil UAV Lidar dan Hasil Penimbangan (Studi Kasus PT. Hardaya Mining Energy, Site Sebakis, Nunukan, Kalimantan Utara). El-Jughrafiyah, 5(1), 112-123.

Khomsin, Danar G. P. ,Achmad F. A. (2018). Analisa perbandingan volume dan ketelitian icp dari 3’s (TS, GNSS, dan TLS). Jurnal Geoid. Vol. 14. No. 1, 2018 (112-123).

Da Silva, I., Ibanez, W., & Poleszuk, G. (2017). Experience of using total station and GNSS technologies for tall building construction monitoring. In International Congress and Exhibition" Sustainable Civil Infrastructures: Innovative Infrastructure Geotechnology" (pp. 471-486). Cham: Springer International Publishing.

Raeva, P. L., Filipova, S. L., & Filipov, D. G. (2016). Volume computation of a Stockpile–a study case comparing gps and uav measurements in an open pit quarry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 999-1004.

Akbar, A. F. (2018). Studi Pengukuran Volumetrik Timbunan Dengan Menggunakan Instrumen Terrestrial Lasser Scanner, Total Station, Dan Gps Rtk (Doctoral dissertation, Institut Teknologi Sepuluh Nopember).

Wang, W., Zhao, W., Huang, L., Vimarlund, V., & Wang, Z. (2014). Applications of terrestrial laser scanning for tunnels: a review. Journal of Traffic and Transportation Engineering (English Edition), 1(5), 325-337.

Kociuba, W., Kubisz, W., & Zagórski, P. (2014). Use of terrestrial laser scanning (TLS) for monitoring and modelling of geomorphic processes and phenomena at a small and medium spatial scale in Polar environment (Scott River—Spitsbergen). Geomorphology, 212, 84-96.

Aji, M. N., & Djurdjani, D. (2022). Perbandingan volume Stockpile batu bara hasil UAV fotogrametri dan UAV LiDAR. Journal of Geospatial Information Science and Engineering (JGISE), 5(2), 146–154.

Mabrur, A. Y., Arafah, F., & Sulistianto, A. (2023). Stockpile volume estimation calculation based on terrestrial laser scanner (TLS) data acquisition and 3D surface visualization. Journal of Applied Geospatial Information, 7(1), 729-733.

Hardianti, S. (2025). Analisis Perbandingan Kuantitas Batubara Antara Drone Dji Phantom 4 RTK Dengan Terrestrial Laserr Scanner Pada Stockpile LS DH5: Comparative Analysis of Coal Quantity Between DJI Phantom 4 RTK Drone and Terrestrial Laser Scanner on LS DH5 Stockpile. Mineral, 10(1), 1-6.

Fadhilah, A., Putra, P., Fathurrahman, N., & Andrawina, A. (2025). Pengelolaan Limbah B3 IUP Banko Barat PT. Bukit Asam Tbk. Site Tanjung Enim. Jurnal Ilmiah Teknik dan Sains, 3(2), 208-218.

Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., & Gabbianelli, G. (2013). Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The Structure from Motion approach on coastal environments. Remote sensing, 5(12), 6880-6898.

Zhong, H., Duan, Y., Tao, P., & Zhang, Z. (2025). Influence of Ground Control Point reliability and distribution on UAV photogrammetric 3D mapping accuracy. Geo-spatial Information Science, 28(5), 1998-2018.

Nesbit, P. R., & Hugenholtz, C. H. (2019). Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images. Remote Sensing, 11(3), 239.

Dhakal, S., Manandhar, A., Shah, A., & Khanal, S. (2025). Integrating UAS Remote Sensing and Edge Detection for Accurate Coal Stockpile Volume Estimation. Remote Sensing, 17(18), 3136.

Robby, R. F., Sukmono, A., & Bashit, N. (2020). Pengaruh Kelas Kelerengan Tanah Terhadap Persentase Selisih Perhitungan Volume Data Terrestrial Laser Scanner Dan Foto Udara Unmanned Aerial Vehicle. Jurnal Geodesi Undip, 9(2), 43-52.




DOI: https://doi.org/10.26760/jrh.v10i2.128-142

Refbacks

  • Saat ini tidak ada refbacks.



Alamat redaksi dan tata usaha:

Lembaga Penelitian dan Pengabdian Masyarakat Institut Teknologi Nasional
Fakultas, gedung 14 Lantai 3
Jl. PHH. Mustapa 23 Bandung 40124
Tlp. 022-7272215 Pes. 159, Fax. 022-7202892,
e-mail: hrekayasa@itenas.ac.id


STATISTIK PENGUNJUNG
Flag Counter
 

Lihat Statistik

Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License