PENERAPAN METODE ORDINARY KRIGING UNTUK ESTIMASI SUMBERDAYA TIMBAL (Pb) PADA BLOK GOSSAN
DOI:
https://doi.org/10.33579/krvtk.v10i1.5718Keywords:
: Ordinary Kriging, geostatistik, variogram, galena, timbal, distribusi kadar, RMSE, koefisien korelasi (r), koefisien determinasi (R²), measured, indicated, inferred.Abstract
Pada daerah penelitian merupakan litologi yang kompleks (batuan vulkanik, sedimen, alterasi hidrotermal menyulitkan korelasi lapisan. Sebaran kadar timbal tidak homogen digunakan penerapan ordinary kriging untuk estimasi timbal dengan litologi kompleks dan alterasi hidrotermal. Berdasarkan metode ordinary kriging, sumberdaya timbal (Pb) diklasifikasikan ke dalam tiga kategori, yaitu measured (volume 2.012.325 m³, tonase 15.092.439 ton, kadar Pb 3,7%), indicated (volume 1.555.856,25 m³, tonase 11.668.921 ton, kadar galena 3,9%), dan inferred (volume 7.309,25 m³, tonase 54.819 ton, kadar Pb 4%). Hasil perhitungan menunjukkan nilai RMSE sebesar 0,40, koefisien korelasi (r) 0,67, dan koefisien determinasi (R²) 0,44, yang mengindikasikan akurasi model yang cukup baik dengan hubungan yang kuat antara nilai estimasi dan aktual.
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References
M. Armstrong, Basic Linear Geostatistic. Pp. 25-46 Springer. 1998.
M. A. Asy’ari, R. Hidayatullah, dan A. Zulfadli, “Geologi dan Estimasi Sumberdaya Nikel Laterit Menggunakan Metode Ordinary Kriging di PT. Aneka Tambang, Tbk”, Jurnal INTEKNA: Informasi Teknik dan Niaga, vol. 13, no. 1. 2013. [Online]. Available: https://core.ac.uk/download/pdf/542938231.pdf
A. Elordi, E. Celaya, dan H. Lopez, “Development Of Methods Based On Neural Networks In The Estimation Of Mineral Resources”, Dyna, 2024. doi: doi.org/10.6036/11077
E. H. Isaaks dan R.M. Srivastava, Applied Geostatistics, New York: Oxford University Press, 1989. doi: https://doi.org/10.1007/BF02065815
O. C. Ibe, Introduction to Descriptive Statistics, 2014. doi: 10.1016/B978-0-12-800852-2.00008-0
J. M. Josselin and B. L. Maux, Descriptive Statistics And Interval Estimation, 2017. doi: 10.1007/978-3-319-52827-4_3
KCMI, Kode Pelaporan Hasil Eksplorasi, Sumberdaya Mineral, dan Cadangan Mineral Indonesia, Komite Cadangan Mineral Indonesia (KCMI), 2011.
L. D. Meinert, Skarns and Skarn Deposits, Geoscience Canada. 1992. [Online] Available: https://journals.lib.unb.ca/index.php/GC/article/view/3773/4287
M. Samson dan C. Deutsch, A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging, Mathematical Geosciences, 2021. doi: https://doi.org/10.1007/S11004-021-09969-3
SNI 4726, Pedoman Pelaporan Hasil Eksplorasi, Sumberdaya dan Cadangan Mineral, Badan Standarisasi Nasional Indonesia, 2019. [Online]. Available: https://www.perhapi.or.id/doc/sni-4726.pdf
T. R. Vetter, “Descriptive Statistics: Reporting The Answers To The 5 Basic Questions Of Who, What, Why, When, Where, And A Sixth, So What?”, Anesthesia & Analgesia, vol. 125, pp. 1797–1802, 2017. doi: 10.1213/ANE.0000000000002471
T. M. Van Leeuwen, "Skarn and Porphyry-Style Mineralization in Central Kalimantan", Jurnal Geologi Indonesia, 1994.
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