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PEMETAAAN CEPAT PASCA BENCANA LONGSOR CIMANGGUNG, KAB. SUMEDANG DENGAN MENGGUNAKAN FOTO UDARA (DRONE) Denny Lumban Raja; Murni Sulastri
JURNAL GEOGRAFI Vol 11 No 1 (2022)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol11-iss1/2699

Abstract

Many people are buried in the subsequent landslide in Cimanggung, Sumedang Regency shows that rapid mapping during the first landslide is necessary in order to detect areas prone to subsequent landslides. The aim of this study is to conduct rapid mapping using Unmanned Aerial Vehicle (UAV) technology in disaster-affected areas in Cimanggung, Sumedang Regency, West Java Province by identifying changes in the shape of the affected area and slopes before and after the landslide. This mapping uses the DJI Phantom 4 RTK UAV model which was flown at a height of 100 meters from the research location with an area of ​​6134 m2. The results of this mapping will produce output in the form of photos and digital elevation models (DEM) in areas affected by landslides. The slope profile at the research location at the time of the landslide based on aerial photos was 14.50 and before the landslide based on the RBI Map it was 15.80. While the slope around the landslide incident location based on aerial photo data is 19.20. The results of the analysis of the causes of landslides from the geomorphological aspect show the area affected by the landslide which is right in the valley that was built into a settlement. Weathering of rock is one of the key factors controlling the landslide.
ESTIMASI SUMBER DAYA BAUKSIT MENGGUNAKAN METODE ORDINARY KRIGING DI KECAMATAN MELIAU, KALIMANTAN BARAT: ESTIMATION OF BAUXITE RESOURCES BASED ON ORDINARY KRIGING METHODS AT KECAMATAN MELIAU, WEST KALIMANTAN Westia Alifah Surya Pratiwi; Denny Lumban Raja; Priatna; Sarah Mutia; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.492

Abstract

The estimation of mineral resources is crucial in mining, particularly in determining production targets, pit design, and investment decisions. Accurate resource estimation results will facilitate optimal mine planning. The objective of this study is the application of estimation techniques that consider geostatistics, namely ordinary kriging, in estimating bauxite deposit resources. The research location is in the laterite arc of West Kalimantan. The data used for estimation are exploration data from 212 test pit locations. The aim of this study is to identify the lithology of the bauxite deposit, distribution of grades, and estimate bauxite resources as well as determine the optimal spacing of test pits as a basis for resource classification in the study area. Petrographic analysis was conducted on four samples to determine the lithology. The study results indicate that the lithology forming the bauxite deposit consists of granodiorite, quartz diorite, and granite. The bauxite deposits in the study area are predominantly derived from granodiorite with high content, thus characterizing the bauxite as kaolinitic bauxite. The bauxite resource estimation results, based on a cut-off grade of >35%, <8%, dan ≤30%, amounted to 722,720 tons of washed bauxite, with an average grade of 39,78% , dan 25,05% , with a concretion factor of 48.44%. The inferred washed bauxite resources are 146,962 tons, the indicated resources are 550,482 tons, and the measured resources are 221,643 tons. Based on the sill variogram calculation, the optimal spacing for test pits for bauxite exploration in the study area with resource classification is 100 m for inferred, 50 m for indicated, and 25 m for measured resources.
ESTIMASI SUMBER DAYA BAUKSIT MENGGUNAKAN METODE ORDINARY KRIGING DI KECAMATAN MELIAU, KALIMANTAN BARAT: ESTIMATION OF BAUXITE RESOURCES BASED ON ORDINARY KRIGING METHODS AT KECAMATAN MELIAU, WEST KALIMANTAN Westia Alifah Surya Pratiwi; Denny Lumban Raja; Priatna; Sarah Mutia; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.492

Abstract

The estimation of mineral resources is crucial in mining, particularly in determining production targets, pit design, and investment decisions. Accurate resource estimation results will facilitate optimal mine planning. The objective of this study is the application of estimation techniques that consider geostatistics, namely ordinary kriging, in estimating bauxite deposit resources. The research location is in the laterite arc of West Kalimantan. The data used for estimation are exploration data from 212 test pit locations. The aim of this study is to identify the lithology of the bauxite deposit, distribution of grades, and estimate bauxite resources as well as determine the optimal spacing of test pits as a basis for resource classification in the study area. Petrographic analysis was conducted on four samples to determine the lithology. The study results indicate that the lithology forming the bauxite deposit consists of granodiorite, quartz diorite, and granite. The bauxite deposits in the study area are predominantly derived from granodiorite with high content, thus characterizing the bauxite as kaolinitic bauxite. The bauxite resource estimation results, based on a cut-off grade of >35%, <8%, dan ≤30%, amounted to 722,720 tons of washed bauxite, with an average grade of 39,78% , dan 25,05% , with a concretion factor of 48.44%. The inferred washed bauxite resources are 146,962 tons, the indicated resources are 550,482 tons, and the measured resources are 221,643 tons. Based on the sill variogram calculation, the optimal spacing for test pits for bauxite exploration in the study area with resource classification is 100 m for inferred, 50 m for indicated, and 25 m for measured resources.