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Georest: Geoscience, Remote Sensing, and Technology
Published by Earthcare
ISSN : 29637767     EISSN : 29637767     DOI : https://doi.org/10.57265/georest.v1i1
Core Subject : Science,
Astronomy Earth & Planetary Sciences Physics
Georest: Geoscience, Remote Sensing and Technology is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspect of Sciences, Geoscience, Geophysics, Remote Sensing, Drone, Radar SAR, Optical Satellite, LiDAR, Radar Antenna, Computer Science, Computer Engineering, Engineering, Information Technology, and Visualization.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geofisika
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2022): Georest" : 5 Documents clear
Mapping Coastline Changes In The Mentawai Islands Using Remote Sensing
Georest Vol. 1 No. 1 (2022): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.88 KB) | DOI: 10.57265/georest.v1i1.2

Abstract

The Mentawai Islands are an active deformation zone caused by the movement of the Indo-Australian plate under the Eurasian plate at a speed of 5-6 cm/year. The movement of these plates that occur continuously can be a source of earthquake disasters in the future. However, the information on how much the value of the distance to the coastline changes and the direction of the change has not been well mapped. In this study, a mapping of shoreline changes caused by plate movement along the coast in the Mentawai Islands was carried out using Landsat Imagery. The method used in this research is the Overlay method between Landsat Imagery 2005,2010, and 2020 using ArcGIS software and the Digital Shoreline Analysis System (DSAS) which is used to determine the distance between shoreline changes and the direction of the change. Based on the results of the study, it was found that the coast of the Mentawai Islands showed a change in the coastline with the average distance of change, namely Siberut Island of -2,109 m, Sipora Island at -2,979 m, North Pagai Island at -3,282 m, and South Pagai Island -1,557 m. From the results obtained, the distance of significant shoreline changes that occur in South Pagai Island with the direction of change towards the Northeast.
Estimation of Optimal Blasting Geometry Using Multivariate Modeling to Reduce Boulder Potential and Improve Mining Production
Georest Vol. 1 No. 1 (2022): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.307 KB) | DOI: 10.57265/georest.v1i1.3

Abstract

One of the most critical stages in mining operations is rock encroachment. A commonly used method of laying rocks is blasting which aims to cleave rocks according to the size of the planned fragmentation. The effectiveness of a blasting activity is a benchmark for the success of loading and transportation activities which greatly affects the achievement of mining production targets. This study aims to estimate the optimum blasting geometry to minimize the percentage of the number of boulders so that loading activities become more effective and production targets are achieved. The research case study was conducted on 8 blasting blocks in the South Osela Pit located at PT J Resources Bolaang Mongondow, North Sulawesi, Indonesia. The research data consists of detonation fragmentation, digging time, cycle time, digging rate, and ore mining productivity. The research method was carried out by multivariate modeling and estimation of blasting geometry. The results of multivariate modeling show that to achieve the production target of 700 bcm / hour, the percentage of boulders < 4%, digging time 8 seconds, cycle time 14 seconds, and digging rate 800 bcm / hour. The results of the blasting geometry estimation show that to get the percentage of the number of boulders < 4 % then the optimum blasting geometry is a burden of 3.8 meters; spacebar 3.2 meters; stemming 2.2 meters; blast hole depth 5.8 meters, and powder factor 0.42 Kg/bcm.
Calculation of The Cost of Underground Mining Activities on Tunnel 9 PT. Allied Indo Coal Jaya
Georest Vol. 1 No. 1 (2022): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.679 KB) | DOI: 10.57265/georest.v1i1.4

Abstract

Allied Indo Coal Jaya is one of the mining companies with types of coal mining materials. Mining methods used by PT. Allied Indo Coal Jaya is an open-pit mining and underground mining method. In the underground mining method, the adding system used is a room and pillar where coal extraction activities are carried out semi-conventionally and detonation. Blasting is carried out to support coal production activities to achieve the targets set by the company. However, the problem faced today is the non-achievement of the production target in Tunnel 9, which is 33 tons of coal while the actual production is 18.70 tons of coal. The non-achievement of production targets due to the geometry of blasting is inadequate for the dismantling of coal with the desired target. Based on the calculation of the dimensions of mine progress, it was found that the coal production yield was 17.03 tons of coal, while for blasting activities using the theory of R. L. Ash, it was found that the blasting result was 12.60 tons of coal. With blasting activities that were able to dismantle 12.60 tons of coal and the number of workers as many as 6 people, a mining profit of Rp.52,435,619.27 was obtained. Increased blasting twice daily and the addition of 8 personnel in Tunnel 9 are the answers to raising coal productivity. The addition of blasting activities and the number of workers can increase coal products to 35.20 tons of coal with a mining profit of Rp. 108,407,142,864.
Mapping The Rate Of Deforestation In South Kalimantan Using Landsat Imagery
Georest Vol. 1 No. 1 (2022): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.071 KB) | DOI: 10.57265/georest.v1i1.5

Abstract

South Kalimantan Province is an area that has a very large forest area, but this forest continues to decrease due to deforestation. Deforestation continues to be one of the factors causing flooding. Flooding in this area is a recurring disaster that must be overcome. For this reason, it is necessary to calculate changes in forest area so that forest processing can be carried out properly and that banners can be overcome. In this study, the rate of deforestation was calculated using a map of land use change in South Kalimantan Province through the google earth engine platform using Landsat imagery. The method in this research is supervised classification, which is taking polygon samples in land use classification. The image classification algorithm with javascript on the google earth engine platform will classify the same pixel values into the same classification based on the samples that have been made. Through this platform, images in geo.tif format will be obtained. then the image is processed using ArcGIS software to process the image into a map and the area of each classification. This map was then overlaid between 2015, 2018, and 2020 to see the changes. Based on the results of the study, it was found that there was a change in land use, especially in the forest class and community plantations. Forests decreased to 311,255 hectares with a decreasing rate of 62,251 hectares every year, while community plantations increased by 328,858 hectares with an increase of 65,771 hectares every year.
Utilization of Terra-MODIS Satellites for Phenomenon Analysis Urban Heat Island in Kalimantan Island
Georest Vol. 1 No. 1 (2022): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.079 KB) | DOI: 10.57265/georest.v1i1.6

Abstract

Urban development on the island of Kalimantan in various aspects can in principle increase productivity through the expansion of built-up land. This can have an impact on increasing temperatures in urban areas and lower temperatures around them. This phenomenon is known as urban heat island (UHI). For this reason, it is essential to analyze the phenomenon. The UHI analysis in this study utilizes remote sensing technology using the Terra-MODIS satellite. Terra-MODIS satellite imagery is used to determine land surface temperature (LST) and normalized difference vegetation index (NDVI). The urban areas that are the object of analysis are Pontianak City and Balikpapan. The data used is imagery data from 2001 to 2020. In the province, ESG and NDVI are inversely proportional, but in this study, a condition was produced where the situation was directly proportional. This condition shows that in the analysis of the UHI phenomenon, other factors are needed besides these two parameters, such as humidity and precipitation.

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