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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 16 Documents
 1   2 
Estimation ESTIMATION OF TIN RESOURCES USING INVERS DISTANCE WEIGHTED (IDW) AND NEAREST NEIGHBOR POINT (NNP) METHODS IN BANGKA TENGAH DISTRICT, BANGKA BELITUNG ISLANDS PROVINCE : Estimation of tin resources RAHUL GONZALES; Rahardi, Muhammad Rafif Gusvi; Adree Octova
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (700.058 KB) | DOI: 10.57265/georest.v2i1.12

Abstract

Indonesia is a country rich in tin minerals. Indonesia has 17% of the world's total tin reserves but produces 26% in 2020. This shows an unequal value between income and expenditure. Therefore it is necessary to calculate tin resources on a regular basis so that their availability is maintained. Here, two methods of calculating the estimated tin resources are used, namely the inverse distance weighted (IDW) and nearest neighbor point (NNP) methods. The estimation results using both methods are tin resources using the IDW method of 1,501,300 tons while using the NNP method 1,270,222 tons. In conclusion, there is a difference in the estimation results using the two methods of 231,078 tons or 18%. This difference is caused by the working of the two methods, namely the principle IDW method considers several closest points, while the NNP method considers the closest point.
Performance Performance Evaluation of TLS II CC 07 and CC 08 Load-out in July 2022 at PT. Bukit Asam Tbk, Tanjung Enim, South Sumatra : Evaltuation Perfomance Abbil Raihan, Muhammad; Adree Octova
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.477 KB) | DOI: 10.57265/georest.v2i1.13

Abstract

Coal is one of the fuels sourced from solid hydrocarbons. Bataubara itself is formed from plants and microorganism that solidifies due to the influence of pressure. The use of coal as a fuel is widely used in large industries, such as the cement industry and in steam power plants. administratively the mining concession of PT. Bukit Asam, Tbk. is included in the Tanjung Enim City, South Sumatra Province. In July 2022, there was a torn Coal Conveyor-07 (CC-07) incident that disrupted productivity at TLS 2 (Train Loading Station) so that it could not deliver coal, causing losses to the company with a total of 42,562 tons. With a total loss of Rp. 28,372,329,681.
SLOPE OBSERVATION OF THE PADANG SOLOK ROAD AREA BASED ON RADAR DATA Marsa, Indira; Razi, Pakhrur; Akmam; Nishi, Katsunoshin
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i1.21

Abstract

The Padang Solok route topographically has a geological structure that is prone to steep slopes, so it has a high level of disaster risk, one of which is shifting soil and causing landslides. Slope is one of the factors that cause landslides, the purpose of this study is to determine the slope that is prone to landslides. However, slope information needs to be known the slope, and we can know the percentage and degree by mapping using satellite radar SAR (Syntetic Aperture Radar) technology, which is an effective choice for detecting the earth's surface in the Padang-Solok area with SRTM data taken in the area. Processed by observing the slope of the area and then analyzing the landslide area. SAR radar satellite technology allows monitoring of landslide-prone areas with high accuracy, and wide area coverage, operating day and night. This slope is a comparison of height in the form of the vertical distance of a land with its horizontal distance. The amount of slope can be expressed in several units, including percent and degree. Spatial information on slope describes the condition of the land surface, such as a flat, gentle, or steep slope. The Padang-Solok route includes steep slope areas with the highest slope of 7,9 to 40,8 and in percentage 13,80% to 90,10%, classified as steep and steep slope. Areas with steep slopes have a greater potential for landslides than those with moderate slopes, in addition to increasing the amount of surface flow. So the steeper the slope, the greater the velocity of surface flow, and thus the greater the water transport energy.
Analysis of Extreme Rainfall in Padang Using GSMaP Satellite Imagery: Case Study of the July 2023 Flood : Approach Using GSMaP Satellite Data Rozi, Hanifsyah; Razi, Pakhrur; Amir, Harman; Sudiar, Nofi Yendri; Rinadi, Aulia
Georest Vol. 2 No. 2 (2024): Georest (In Press)
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i2.32

Abstract

Extreme rainfall is a major cause of major flooding in coastal areas, such as Padang, Indonesia. This study analyzes the extreme rainfall event that caused the Padang flood on July 14, 2023 using rainfall data from the Global Satellite Rainfall Mapping system (GSMaP). The aim is to evaluate the spatial and temporal distribution of rainfall during the event and assess the accuracy of GSMaP satellite imagery in capturing the heavy rainfall that caused the flooding. GSMaP satellite data were processed to examine the intensity and distribution of rainfall from July 13, 2023 to July 14, 2023. The analysis showed that rainfall occurred evenly over the entire Padang area, with a peak rainfall intensity of 20-99 mm/day on July 13 and a much higher intensity of 145-434 mm/day on July 14, as recorded by ground-based rain stations. The peak rainfall on the first day occurred at 14:00 UTC, and on the second day at 00:00 UTC. Although GSMaP effectively captured the large-scale rainfall pattern, differences were seen in the local intensity. This continuous rainfall causes severe waterlogging, which then escalates into flooding, which is classified as extreme rainfall. These findings demonstrate the utility of GSMaP in monitoring extreme rainfall, especially in areas with limited ground-based observation infrastructure, and emphasize the role of satellite data in improving early warning systems and flood management strategies in flood-prone areas such as Padang.
IoT-based Clothesline Monitoring and Control System Design with Smartphone Display Rena Ramadhani Putri; Pakhrur Razi
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i1.25

Abstract

Indonesia is geographically located on the equator and has two seasons: the rainy season and the dry season. The current global warming has made the weather erratic, making the dry and rainy seasons unpredictable. This is a problem for people who want to dry clothes. To overcome this problem, an automatic control system is needed that can be monitored remotely via Smartphone. This research, with the title Designing an Automatic Clothesline Tool Based on the Internet Of Things, this tool is designed as an automatic control system for clothespins that can be monitored via smartphone remotely, so people don't have to worry about leaving the clothesline. This tool uses NodeMCU Esp32 and uses a rain sensor to detect weather conditions. DC motor is used to move the clothesline in or clothesline out which is controlled by a motor driver. Limit Switch to provide feedback that the clothesline has entered or the clothesline is out.
Hanifsyah Rozi, Pakhrur Razi Identification of Extreme Rainfall in Padang Based on Weather Radar Imagery : Case Study Flood July 2023: Approach Using Weather Radar Data rozi, hanifsyah
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i1.27

Abstract

Extreme rainfall combined with high impact weather frequently happens in the Padang city region, resulting in flooding, damaging livelihoods, and endangering lives and the environment. Consequently, the detection of intense precipitation patterns like convective cloud development, cloud distribution patterns, as well as the time and duration of rainfall needs to be analyzed to improve disaster mitigation and research development, especially in the Padang city area. In this study we processed gematronic brand weather radar data with volumetric format to produce several weather radar products to identify extreme rainfall that causes flooding. Based on our identification, the rain on July 13 to 14, 2023 has occurred from noon to early morning, detected convective clouds with reflectivity values reaching 55-60 dBZ which indicates light rain to extreme rain, with peak rain occurring in the afternoon and evening. Identifying the pattern and duration of extreme rainfall allows for better planning and risk mitigation measures.

Page 2 of 2 | Total Record : 16

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