PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.

Stability of a stope is usually expressed as Factor of Safety (FoS), whereas the FoS cannot fully reflect the stability of the stope. A stope with FoS greater than one still has possibility to collapse. A different approach in determining the stability of a stope is then required. One of the appr...

Full description

Saved in:
Bibliographic Details
Main Author: Zulfikar Muslim, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/71716
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:71716
spelling id-itb.:717162023-02-21T14:26:37ZPENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK. Zulfikar Muslim, Muhammad Indonesia Final Project Stope, stope stability, logistic regression, stope stability zone INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/71716 Stability of a stope is usually expressed as Factor of Safety (FoS), whereas the FoS cannot fully reflect the stability of the stope. A stope with FoS greater than one still has possibility to collapse. A different approach in determining the stability of a stope is then required. One of the approaches is the determination of stability empirically. Through this approach, the stability of a stope can be determined easily and quickly using charts. However, this approach has not been able to give the stope probability of stability. This research therefore proposed an alternative method for relating RMR parameters and span with the probability stability of unsupported stope based on the results of the logistic regression. Logistic regression performed on the 292 data of stope stability revealed an accuracy of 84.0%. It was also shown that span affect the stability of the stope more than RMR. Graphs of stability zones of unsupported stope and stope stability isoprobability contours have also been proposed. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Stability of a stope is usually expressed as Factor of Safety (FoS), whereas the FoS cannot fully reflect the stability of the stope. A stope with FoS greater than one still has possibility to collapse. A different approach in determining the stability of a stope is then required. One of the approaches is the determination of stability empirically. Through this approach, the stability of a stope can be determined easily and quickly using charts. However, this approach has not been able to give the stope probability of stability. This research therefore proposed an alternative method for relating RMR parameters and span with the probability stability of unsupported stope based on the results of the logistic regression. Logistic regression performed on the 292 data of stope stability revealed an accuracy of 84.0%. It was also shown that span affect the stability of the stope more than RMR. Graphs of stability zones of unsupported stope and stope stability isoprobability contours have also been proposed.
format Final Project
author Zulfikar Muslim, Muhammad
spellingShingle Zulfikar Muslim, Muhammad
PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
author_facet Zulfikar Muslim, Muhammad
author_sort Zulfikar Muslim, Muhammad
title PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
title_short PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
title_full PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
title_fullStr PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
title_full_unstemmed PENENTUAN ZONA KESTABILAN LOMBONG TANPA PENYANGGAMENGGUNAKAN METODE REGRESI LOGISTIK.
title_sort penentuan zona kestabilan lombong tanpa penyanggamenggunakan metode regresi logistik.
url https://digilib.itb.ac.id/gdl/view/71716
_version_ 1822992247633739776