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Jambura Geoscience Review
Published by Universitas Negeri Gorontalo
ISSN : 26230682     EISSN : 26560380     DOI : https://doi.org/10.34312/jgeosrev
Core Subject : Science,
Earth & Planetary Sciences
Jambura Geoscience Review (JGEOSREV, P-ISSN: 2623-0682, E-ISSN: 2656-0380) is an open-access journal, which publishes original papers about all aspects of the Earth and Geosciences. This comprises the solid earth, the atmosphere, the hydrosphere, and the biosphere. In addition, it provides a particular place, and an advanced forum, for contributions on natural hazards, geoscience-related environmental problems.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)" : 7 Documents clear
Pemodelan Endapan Epitermal Sulfidasi Rendah Berdasarkan Interpretasi Data Magnetik di Daerah Wonosidi Ahmad Hanafi; Ajimas Pascaning Setiahadiwibowo; Joko Soesilo; Firdaus Maskuri
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.13993

Abstract

The mineralization in the Pacitan area is generally a quartz vein zone and disseminated in the altered rock zone close to the quartz vein zone. The magnetic method is a geophysical method used to identify subsurface conditions based on the magnetic properties of rocks. This study aims to identify low sulfidation epithermal deposits based on the interpretation of magnetic data. Previous research put the existence of mineralization in the form of malachite, azurite, and pyrite in the study area. Then a geomagnetic survey was conducted to build a subsurface model helpful in knowing the widening and geometry of existing mineral deposits. The study used 118 geomagnetic measurement points in the 1.5 km x 1.5 km area by the gridding method, and the distance between points was 150 m. Apart from that, a derivative tilt filter and analytic signal were used to analyze the controller structure. The study's results, namely, there are three main faults, two faults oriented almost northwest-southeast and one fault oriented almost northeast-southwest, which are thought to be heretical mineralization controllers. And there are two patterns of high magnetic anomaly values in response to dacitic intrusion in the southwest and andesite intrusion in the eastern part of the telltale region, which is thought to affect the presence of alteration and mineralization in the study area. 
Deteksi Batimetri Perairan Dangkal di Pulau Menjangan, Provinsi Bali Menggunakan Citra Landsat Gerardus David Ady Purnama Bayuaji; Seftiawan Samsu Rijal; Kuncoro Teguh Setiawan; Kholifatul Aziz
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.13886

Abstract

Remote sensing-based research in Indonesia using satellite imagery frequently faces the challenge of cloud coverage due to the tropical country. One spatial data that can be extracted from satellite imagery is bathymetry. However, cloud-covered water bathymetric extraction still needs to be examined. This study aims to understand the ability of Landsat 7 ETM+ acquired on 29 July 2013, and Landsat 8, acquired on 24 July 2020, as the representative of non-cloudy image compared to Landsat 8, acquired on 9 August 2020, as the cloudy image. Stumpf algorithm was applied, including a statistical approach of linear regression analysis with in-situ data measurement from Single Beam Echo-Sounder (SBES) to derive the absolute bathymetric map with several classes of depth ranging from 0 – 2 m up to 10 m. To assess the accuracy, RMSE and confusion matrix was used. The result shows that Landsat 7 ETM+ yields the highest R2 with 0,52, while the lowest total RMSE (8,167 m) and highest overall accuracy of about 69% from the confusion matrix was achieved by the cloudy image of Landsat 8. Nevertheless, the highest absolute depth value yield by Landsat 8 non-cloudy image with 16,1 m. This research confirms that the highest R2 value does not always produce the best model, but it is still promised to be used. Furthermore, the quality of the imagery based on its percentage of cloud coverage is affecting the resulted model.
Tsunami Susceptibility Analysis in Coastal Area Petanahan District, Kebumen Regency Fajar Aniq Safira; Chatarina Muryani; Gentur Adi Tjahjono
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.13938

Abstract

Petanahan sub-district has three villages directly adjacent to the sea: Karangrejo Village, Karanggadung Village, and Tegalretno Village. This study aims to analyze the level of tsunami susceptibility in the coastal area of Petanahan District in the Kebumen Regency. Analysis of the level of tsunami susceptibility using assessment methods, weighting, and map overlays using tsunami hazard parameters, including elevation, slope, land use, distance from the shoreline, and distance from rivers. Then the Weighting of the Tsunami Vulnerability Level uses the formula N = Bi X Si, where Bi is the weight on each criterion, and Si is a score on each criterion. The weighting results are then divided into five classes, very low, low, medium, high, and very high. The results of this study indicate that the tsunami hazard in a coastal area of Petanahan Regency consists of a very high class (93.904 ha/8.33%), a high class (567.804/50.35%), and a medium class of (465.962 ha/41.32%). The results of this research on the vulnerability to tsunamis can be used by the community, especially in the research area, to increase preparedness in dealing with tsunami disasters. At the same time, the Government can take policies in carrying out disaster risk reduction activities of a tsunami, especially in the research area.
Komparasi Model 3D Jembatan dari Pemotretan Konvergen dan Normal Menggunakan Drone Nicolas Alnando; Martinus Edwin Tjahjadi; Ketut Tomy Suhari
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.13437

Abstract

CRP (Close Range Photogrammetry) is a measurement technique that can extract 3D points from an image. This study aims to compare convergent, normal, and combined shooting using drones with close-range photogrammetry methods. In the CRP technique, shooting is carried out using the DJI Phantom 4 Pro Drone with convergent and normal shooting techniques and a combination of both shots. Convergent shooting is done by positioning the drone centered on one point by forming a cone against the bridge object with an angle ranging from 40-90 degrees. While shooting normally is done by positioning the drone by facing a straight line against the object. A comparison of concurrent and normal shooting was carried out to find out better 3D Modeling results. The final result of this research is the visualization of a 3D model object that has a complete texture and resembles its original state in the field, as evidenced by the RMSE value of the 3D convergent model being 0.0940 m, for the RMSE value of the normal 3D model is 0.0882 m. The RMSE 3D value of the combination model is 0.0907 m. From each RMSE value above, a good 3D model visualization is produced using normal shooting because the resulting RMSE value is smaller than other shooting techniques.
Pemodelan Banjir Rob Wilayah Jakarta Utara Menggunakan Sistem Informasi Geografis Indah Ferdiani Zuhriah; Bambang Setiadi; Seftiawan Samsu Rijal
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.14196

Abstract

Rising sea levels originating from high tides and inundating land are known as tidal flooding. The cases of tidal floods are increasing day by day, especially in areas directly adjacent to the high seas. One of the areas that are prone to tidal flooding is North Jakarta. This study aims to determine the areas affected by the tidal flood and the extent of the area affected by the tidal flood in the Jakarta City area. This research can be used to take preventive action for residents to face the tidal flood disaster. The tidal flood height modeling was obtained based on the value of Mean Sea Level (MSL), Higher High Water Level (HHWL), and the trend of global rising tides. The result of this study is a map of areas affected by tidal flooding, where the lowest is at an altitude of 0.4 m in Penjaringan and Cilincing. At the height of this tidal flood, the impact was approximately 54 hectares of residential areas, 59 hectares of buildings, and 146 hectares of agricultural activities. The highest area affected by the tidal flood is at an altitude of 1.96 m which inundates the coastal District of Penjaringan, Cilincing, Pademangan, and Tanjung Priok Port. The height of the highest tidal flood impacts 983 ha of residential areas, 493 ha of buildings, and 830 ha of the agricultural sector were inundated. At the height of the tidal flood, which is almost 2 m high, it is necessary to carry out careful disaster mitigation efforts for the local government.
Karakteristik Geomorfologi Daerah Posso Kabupaten Gorontalo Utara dan Sekitarnya Budiyansyah Harun; Yayu Indriati Arifin; Intan Noviantari Manyoe
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.12712

Abstract

The landforms in the Gorontalo area are only limited to the physiographic division of Gorontalo. Therefore, this research aims to analyze the geomorphological characteristics of the research area to obtain detailed data that can be used as basic data for the theoretical purposes of Gorontalo geomorphology and disaster applications. The method used in this research is field observation and visual interpretation using satellite imagery, namely GeoEye (GoogleEarth) and Digital Elevation Model. Data analysis was carried out in the form of an analysis of the geomorphological condition of the research area supported by the results of image interpretation—determination of geomorphological units using the Van Zuidam classification. The results showed that the geomorphology of the study area consisted of six geomorphological units: structural hills, volcanic hills, denudational hills, denudational plains, fluvial plains, and marine plains. The morphography and morphometry of the research area are hilly, lowland, and coastal plains generally located at an altitude of 0-393 masl with slopes ranging from flat to extremely steep with a sloping pattern. The morphology of the landform units in the study area starts from the Early Miocene to the Holocene in the form of magmatism, volcanism, and exogenous processes. The presence of geological structures in the form of fractures and faults in geomorphological units and the influence of exogenous processes on landforms can be a reference in mapping the direction of mitigation in the research area, theoretically and practically.
Penggunaan DTM Presisi dari Fotogrametri UAV untuk Analisa Bencana Longsor Menggunakan Sistem Informasi Geografis Vikanisa Rahmadany; Martinus Edwin Tjahjadi; Fransisca Dwi Agustina
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.12908

Abstract

The morphologies of the Pandansari Village (Ngantang District, Malang Regency, Indonesia) are vulnerable to landslide disasters that may damage human properties, infrastructures, and even fatalities. Landslide disaster mitigation can be carried out by conducting disaster-prone mapping utilizing Unmanned Aerial Vehicle (UAV) photogrammetry along with geographic information systems (GIS) to produce precise Digital Elevation Model/Digital Terrain Model (DEM/DTM). The purpose of this study is to analyze areas prone to landslides using precision DTM data from UAV technology integrated with geospatial data. DEM is widely used for disaster mapping applications in the form of DTM, representing the ground surface. DTM can be generated from UAV images with photogrammetric processing and additional procedures for removing non-ground objects. This study utilizes PCI Geomatics software to remove vegetation and human-made objects off the ground surfaces semi-automatically. The evaluation revealed that LE 90% of the DTM has only deviated at approximately 0.81 m. This value follows the introductory map geometric accuracy provisions according to BIG No.15 of 2014 for a scale of 1:2500 in class 2. The landslide hazard map classifications using the landslide estimation Puslittanak are dominated by a high classification landslide hazard level with an area of 20.1 ha (48%). In addition, the validation of the landslide-prone map using the accuracy assessment method obtained a percentage of 83%.

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