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The crusher facility is recognized as being a principal preparation facility for processing and refining minerals. Installing the crusher requires a steep slope to convenience the feeding process. Currently, Mechanically Stabilized Earth (MSE) Wall has been decided to reinforce a steep slope on the crusher facility to increase stability. The crusher vibration and stockpile load on the crusher area widely account for the crusher facility's longs term stability. This paper discusses how to define the interaction of the crusher, MSE Wall, and stockpile that affects the crusher stability. GEO5 software has provided the Limit Equilibrium Method (LEM) in two-dimensional analysis using Mohr-Coulomb Failure Criteria and Morgenstern-Price Method. Back Propagation Artificial Neural Network (ANN) is used to validate the computational analysis from GEO5. The sum of variations models in this analysis was 25 slopes. Based on the variations, the data input for ANN included 20 models, while the five models are used to validate the ANN prediction result. The entire validation model meets the criteria for the value of R2 > 0.6. Still the same as the training model where only parameter Center of Rotation: y Axis Values has an SI of RMSE above 10%, which is 13.6%, which means that the neural network model is used in this study is still not able to estimate the shape of the Center of Rotation, however this Neural Network model can excellently estimate the value of the Safety Factor because based on the R2 value is 0.96 and the SI of RMSE is 0.59%. [ABSTRACT FROM AUTHOR]

The strong andesite rock mass condition requires the company to carry out rock breakage by blasting. Andesite mines at the research site carried out blasting to meet production targets. Blasting is done every three times a week. The explosions that are carried out often cause people to become worried due to environmental conditions not far from the mining site. People often complain about the ground's vibrations and the blasting sound effects. With the residents' concerns, the company has tried to reduce the effects of the blasting. However, no in-depth research has been carried out regarding the effects of blasting. For this reason, this study will examine the effects of blasting in the form of ground vibrations and sound effects from blasting using the Micromate by using a geophone and a microphone so that the value of the blasting effect, especially ground vibration and air blast carried out at the mining site is known. From the test results, it was found that blasting at the research site did not have a significant effect on the surrounding community. It was known that the value of ground vibration and airblast was below applicable standards such as USBM RI8507, OSMRE, SNI 7571:2010, and 7570:2010, and it was still considered safe for people living around the andesite mining area. [ABSTRACT FROM AUTHOR]

Mining road construction is carried out to transport mining materials from the PT X Mining Business License Working Area (Wilayah Izin Usaha Pertambangan –"WIUP") located in the Southeast Sulawesi Region to the advanced processing facility located in the Central Sulawesi region. The length of the planned road construction is 40 km. However, in this study, we will discuss the analysis of the 3 km long mine road because, at that location, it has the most significant volume of stockpiling and volume of excavation of material. To calculate the estimating road construction time, productivity and analyzing the economic level of mining road construction in this study using the software TALPAC. From the research results obtained, the fastest possible work time when using ten trucks for hauling is 1,801 days, andthe longest working time when using one truck is 14,458 days. The lowest cost of completing the project was when using four trucks, and the highest cost was when using one truck. An Optimum Time-Cost Schedule Mine Road Development can be achieved when the operation technique uses four trucks with 3,699 days of work at the cost of 2,591,232 dollars. [ABSTRACT FROM AUTHOR]

Recently in Indonesia has been doing a lot of road development as an alternative to overcome traffic congestion, such as the construction of tollroad the construction of multiple railroads. In addition to constructing roads, contractors often have to penetrate a number of hills by making tunnels. The construction of highway tunnels and railroads is always associated with soft materials (such as soil) to rigid rock materials (such as pyroclastic rocks, igneous rocks, sedimentary rocks, and metamorphic rocks). In Indonesia, the weathering process in rocks is very intensive due to hot and cold weather, causing rocks and soil to weather into clay-sized materials. The nature of clay is very reactive to water, both water that comes from rain or groundwater, and this type of clay in reaction to water is divided into two, namely swelling (swelling) clay and non-swelling (plastic) clay. In mineralogy, the type of clay that has the property of expanding is Montmorillonite. In the stability approach, the swelling properties differ from the plastic properties. In the swelling properties of clay, it behaves like a significant displacement behavior but does not cause collapse. This study will provide an understanding for tunnel designers to overcome large displacements after the tunnel is made. [ABSTRACT FROM AUTHOR]

Tailings Storage Facilities (TSFs) is a facility needed to manage tailings storage resulting from mineral processing. Generally speaking, TSF stability analysis is conducted using the Limit Equilibrium Method (LEM) to determine the Safety Factor (FOS). Relying exclusively on LEM alone is inaccurate because it only meets the static equation and does not consider stress-strain deformation. To solve LEM's shortcomings, the Shear Reduction (SRT) Finite Element method was used to determine the stability of TSF. Performance comparison of Upstream TSF, TSF downstream, and Centerline TSF in statistical and pseudo-statistical load conditions utilizing LEMs and SRT is given in this paper. In order to calculate the probability of failure (Pf) and the reliability index (β) of each TSF, consideration of tailings behavior intrinsic, sensitivity, and probabilistic analysis in the context of Monte Carlo Simulation (MCS) and Point Estimate Method (PEM) is applied. The key factors impacting TSF stability are the base foundation and embankment friction angle, as well as embankment cohesion. Further analysis yields that Centerline TSF has a higher reliability index with a value of 0,6 in static loading and 0,46 in pseudo-static loading, lower failure probability with 18,18% in static loading 26,76% pseudo-static loading than Upstream TSF and Downstream TSF. [ABSTRACT FROM AUTHOR]