Rock Engineering Systems (Res) Method As A Fragmentation Prediction Of Rock Blasting At Quarry Bukit Karang Putih Pt Semen Padang West Sumatera

International Journal of Geoinformatics and Geological Science

© 2021 by SSRG - IJGGS Journal

Volume 8 Issue 3

Year of Publication : 2021

Authors : Daud Manatap Sitorus, Revia Oktaviani, Shalaho Dina Devy

10.14445/23939206/IJGGS-V8I3P105

How to Cite?

Daud Manatap Sitorus, Revia Oktaviani, Shalaho Dina Devy, "Rock Engineering Systems (Res) Method As A Fragmentation Prediction Of Rock Blasting At Quarry Bukit Karang Putih Pt Semen Padang West Sumatera," SSRG International Journal of Geoinformatics and Geological Science, vol. 8,  no. 3, pp. 29-41, 2021. Crossref, https://doi.org/10.14445/23939206/IJGGS-V8I3P105

Abstract:

Blasting activities will result in certain fragmentations, where fragmentation is one of the parameters of the success of blasting activities. Over time there have been many innovations in predicting the fragmentation of rocks that will form. Rock Engineering Systems (RES) is a model prediction of blasted rock fragmentation that is currently being developed. This study used 11 effective parameters that affect rock fragmentation. Data that has been collected as many as 30 blasting data conducted at PT. Semen Padang, West Sumatra. In this study, the authors also used the Kuzram method, cunningham modification 2005, as well as the statistical model of multiple linear regression as a comparison prediction model. To evaluate the method used, the authors analyzed the correlation coefficients (R2) and Root Mean Square Error (RMSE) between the actual fragmentation of the results of Image Analysis Software against the prediction model used. The results showed that among kuzram prediction models, Cunningham Modification 2005, Multiple Linear Regression, and RES showed that the RES model produced a very strong correlation coefficient of 0.96 and a low RMSE value of 6. Compared to the Kuzram method, the weak correlation coefficient is 0.40 with a high RMSE value of 18. Cunningham method obtained a medium correlation coefficient of 0.55 with a high RMSE value of 83, and then a double linear regression model obtained a strong correlation coefficient value of 0.80 with a value of RMSE 8. Therefore, this Rock Engineering Systems (RES) model can be used to predict rock fragmentation in PT Semen Padang.

Keywords:

PT. Semen Padang, Rock Engineering Systems, Kuzram, Cunningham, Multiple Linear Regression.

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