EVALUASI AKURASI PERHITUNGAN VOLUME ESTIMASI DAN AKTUAL PELEDAKAN QUARRY MENGGUNAKAN GNSS RTK DAN FOTOGRAMETRI UAV
ACCURACY EVALUATION OF ESTIMATED AND ACTUAL QUARRY BLASTING VOLUMES USING GNSS RTK AND UAV PHOTOGRAMMETRY
DOI:
https://doi.org/10.36873/jtp.v26i2.26776Keywords:
Konya, Fotogrametri UAV, GNSS RTK, Peledakan Quarry, Perhitungan VolumeAbstract
Evaluasi volume hasil peledakan quarry merupakan bagian penting dalam pengendalian produksi dan penilaian kinerja peledakan pada tambang terbuka. Penelitian ini bertujuan mengevaluasi akurasi volume estimasi peledakan quarry terhadap volume aktual yang didapatkan dari pengukuran menggunakan GNSS Real Time Kinematic (RTK) dan fotogrametri Unmanned Aerial Vehicle (UAV). Penelitian dilakukan di tiga lokasi sampel. Volume estimasi dihitung menggunakan metode C. J. Konya berdasarkan parameter geometri peledakan, sedangkan volume aktual dihitung dengan metode net volume between DTMs menggunakan Digital Terrain Model (DTM) yang dibangun dari data GNSS RTK dan fotogrametri UAV. Hasil penelitian menunjukkan bahwa volume aktual dari kedua metode pengukuran secara konsisten lebih besar dibandingkan volume estimasi, yang mengindikasikan terjadinya overbreak. Perbandingan volume GNSS RTK terhadap estimasi menghasilkan relative error rata-rata 2,328%, sedangkan fotogrametri UAV terhadap estimasi sebesar 3,864%. Sementara itu, perbandingan GNSS RTK dan fotogrametri UAV menghasilkan relative error rata-rata 1,490%. Hasil uji paired t-test pada tingkat kepercayaan 95% menunjukkan tidak terdapat perbedaan yang signifikan secara statistik antar metode perhitungan volume.
Kata kunci: Konya, Fotogrametri UAV, GNSS RTK, Peledakan Quarry, Perhitungan Volume
Downloads
References
Bamford, T., Medinac, F., Esmaeili, K., 2020. Continuous Monitoring and Improvement of the Blasting Process in Open Pit Mines Using Unmanned Aerial Vehicle Techniques. Remote Sens. (Basel). 12, 1–34. https://doi.org/10.3390/rs12172801
Ghilani, C.D., 2017. Adjustment Computations: Spatial Data Analysis. Wiley. https://doi.org/10.1002/9781119390664
He, Z., Gan, S., Yuan, X., 2025. A Terrain-Constrained TIN Approach for High-Precision DEM Reconstruction Using UAV Point Clouds. J. Imaging 12, 8. https://doi.org/10.3390/jimaging12010008
Himmy, O., Nguyen, T.T., Vazhacharickal, P.J., Buerkert, A., 2025. Monitoring of granite quarries using deep learning and UAV photogrammetry in Bengaluru, India. PLoS One 20. https://doi.org/10.1371/journal.pone.0334493
Hodson, T.O., 2022. Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not. Geosci. Model Dev. https://doi.org/10.5194/gmd-15-5481-2022
Kokamägi, K., Türk, K., Liba, N., 2020. UAV photogrammetry for volume calculations. Agronomy Research 18, 2087–2102. https://doi.org/10.15159/AR.20.213
Konya, C.J., Walter, E.J., 1990. Surface Blast Design, (No Title). Prentice Hall.
Konopka, G., Szamałek, K., Zglinicki, K., 2022. Ni-Co Bearing Laterites from Halmahera Island (Indonesia). Appl. Sci. 12, 7586. https://doi.org/10.3390/app12157586
Kumara, I.D.M.P., Tanggara, D.N.S.P., Putrawiyanta, I.P., Usup, H.L.D., Murati, F., 2024. Analisis Kemajuan Tambang Berdasarkan Survey RTK pada Aktifitas Coal Getting di Pit Outh Sekako 1 PT Suprabari Mapanindo Mineral. INNOVATIVE: Journal of Social Science Research 4, 2361–2370.
Li, F., Zhu, H., Li, W., Liu, C., Ma, J., Li, L., 2025. Generation of an optimal triangulated irregular network for topographic surface via optimal transport theory. Geo-Spatial Information Science 28, 2636–2651. https://doi.org/10.1080/10095020.2024.2446306
Li, Z., Zhu, Q., Gold, C., 2004. Digital Terrain Modeling: Principles and Methodology. CRC Press.
Mantey, S., Aduah, M.S., 2021. Comparative Analysis of Stockpile Volume Estimation using UAV and GPS Techniques. Ghana Mining Journal 21, 1–10. https://doi.org/https://doi.org/10.4314/gm.v21i1.1
Marina, Salu, S.P., Dzakir, L.O., 2024. Analisis Geometri Peledakan Terhadap Fragmentasi Hasil Peledakan pada PT. Diamond Alfa Propertindo Kecamatan Mawasangka Tengah Kabupaten Buton Tengah Provinsi Sulawesi Tenggara. Mining Science and Technology Journal 3, 1–10.
Maulana, M.H.R., Kuncoro, H., 2025. Evaluasi Pendekatan Hybrid dalam Pengukuran Volume Stockpile Batubara Menggunakan UAV, GNSS RTK dan Total Station. Jurnal Serambi Engineering 10, 15653–15659.
Murad, Setiawati, S., Mukhtar, W., 2023. Rancangan Geometri Peledakan yang Efisien untuk Mendapatkan Sistribusi Ukuran Fragmentasi Batu Gamping. Jurnal Teknologi Mineral dan Batubara 19, 95–110. https://doi.org/10.30556/jtmb.Vol19.No2.2023.1386
Putrawiyanta, I.P., 2024. Perhitungan Volume dengan Permodelan Software Terramodel terhadap Stockpile Batubara. Jurnal Teknik Pertambangan 24, 1–9. https://doi.org/10.36873/jtp.v24i1.12316
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, in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. International Society for Photogrammetry and Remote Sensing, pp. 999–1004. https://doi.org/10.5194/isprsarchives-XLI-B1-999-2016
Sari, Y.W., Putri, Y.E., Lucyana, Parapelta, A., 2025. Analisis Perbandingan Penghitungan Stockpile Material Batu Kapur Menggunakan GNSS dengan Metode RTK dan NTRIP. Jurnal Media Teknologi 12.
Sun, D., Wang, H., Komine, H., Tsunai, H., Ito, D., Pan, G., Ruan, K., 2024. Improved SfM-MVS approach using artificial backgrounds. Soils and Foundations 64. https://doi.org/10.1016/j.sandf.2024.101495
Tiberius, C., van der Marel, H., Reudink, R., van Leijen, F., 2022. Surveying and Mapping, Surveying and Mapping. TU Delft. https://doi.org/10.5074/T.2021.007
Toriya, H., Tungol, Z.P.L., Ikeda, H., Owada, N., Jang, H.D., Adachi, T., Kitahara, I., Kawamura, Y., 2022. Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site. Mining 2, 438–448. https://doi.org/10.3390/mining2030023
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Virnanda Nur Mahanani, Hanif Ilmawan, Hidayat Panuntun, Muhammad Iqbal Taftazani
This work is licensed under a Creative Commons Attribution 4.0 International License.
