METODE REGRESI LOGISTIK UNTUK MEMPREDIKSI RISIKO ROCKBURST JANGKA PENDEK

Ridho K Wattimena

Abstract


Rockburst telah menjadi salah satu risiko mayor pada konstruksi dan tambang bawah tanah batuan keras yang dalam. Banyak pendekatan telah diusulkan untk memprediski risiko rockburst, mulai dari pengujian laboratorium sederhana sampai kepada metode learning machine yang canggih. Makalah ini membandingkan hasil prediksi metode ensemble learning dan regresi logistik dan menunjukkan bahwa metode regresi logistik yang lebih sederhana dapat memberikan hasil yang lebih akurat.


Keywords


metode statistika, regresi logistik, prediksi, rockburst

Full Text:

PDF

References


Feng, X.T., Chen, B.R., Zhang, C.Q., Li, S.J., Wu, S.Y., 2013; Mechanism, warning and dynamic control of rockburst development processes. Science Press, Beijing (in Chinese).

Gong, F.Q, Yan J.Y, Li X.B and Luo, S., 2019; A peak-strength strain energy storage index for bursting proneness of rock materials. International Journal of Rock Mechanics and Mining Sciences, 117:76-89.

Liang, W., Sari, A., Zhao, G., McKinnon, S.D. and Wu, H., 2020; Short‑term rockburst risk prediction using ensemble learning methods. Natural Hazards, 104:1923-1946.

Mawdesley, C., Trueman, R., Whiten, W., 2001; Extending the Mathews stability graph for open-stop design. Transactions of the Institution of Mining and Metallurgy, 110: A27–39.

P. Angin, P., Wattimena, R.K., Sahara, D.P., Purba, A.M., 2019; Microseismic analysis to identify stress redistribution and minimize rockburst in DMLZ cave abutment, PT Freeport Indonesia. Proceedings of the 5th ISRM Young Scholars' Symposium on Rock Mechanics and International Symposium on Rock Engineering for Innovative Future, 851-856.

Sirait, B., Wattimena, R.K. and Widodo, N.P., 2013; Rockburst prediction of a cut and fill mine by using energy balance and induced stress. Procedia Earth and Planetary Science, 6: 426-434.

Wattimena, R.K., Sirait, B., Widodo, N.P. and Matsui, K., 2012; Evaluation of rockburst potential in a cut-and-fill mine using energy balance. International Journal of the Japanese Committee for Rock Mechanics, 8(1): 19-23.

Wattimena, R.K., Kramadibrata, S., Sidi, I.D., Azizi, M.A., 2013; Developing coal pillar stability chart using logistic regression. International Journal of Rock Mechanics and Mining Sciences, 58: 55-60.

Wattimena, R.K., 2014; Predicting the stability of hard rock pillars using multinomial logistic regression International Journal of Rock Mechanics and Mining Sciences, 71: 33-40.

Zhou, J., Li, X.B. and Shi, X.Z., (2012) Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines. Safety Science, 50(4):629–644.




DOI: https://doi.org/10.36986/impj.v3i1.32
Abstract views : 808 | views : 710

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.