cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sri Maryati
Contact Email
sri.maryati@ung.ac.id
Phone
+6282292284121
Journal Mail Official
geosrev@ung.ac.id
Editorial Address
Jenderal Sudirman Street No.6, Kota Gorontalo, Provinsi Gorontalo 96128, Indonesia
Location
Kota gorontalo,
Gorontalo
INDONESIA
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 5 Documents
 1 
Search results for , issue "Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)" : 5 Documents clear
Disaster Risk On Review Scale And Spatial Planning Archipelago Region: The Risk Based Island Cluster In Moluccas Province Ferad Puturuhu; Restia Christianty
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i2.4366

Abstract

Disaster risk reduction (DRR) by taking into account the spatial planning in its implementation is not easy, for the Moluccas which has the characteristics of the region that has many cluster islands, and the accessibility are still low. Thus it requires special handling in the island-based disaster risk reduction, which will certainly be different from disaster risk reduction efforts that were undertaken in the continental region. The purpose of this research is to design the spatial area of the island cluster in Moluccas Province based on disaster risk. The method used is literature through spatial analysis of island risk-based groups. Based on the results of disaster risk assessment by the BPBD of Moluccas Province, it has been obtained that there are islands based on disaster risk (RB-islands cluster). The high disaster risk level was the island cluster on RB III and IX, the medium disaster risk level was the island cluster on RB I, IV, VI, and VIII, the low disaster risk level was the island cluster on RB II, V, and VII. The RB island cluster is a model for reaching areas with high disaster risk, can easily identify what causes it. It become an input to mitigate it through the spatial arrangements for achieving a sustainable archipelago development. The regional spatial arrangements aimed at reducing disaster risk in the RB-islands cluster in the Moluccas through spatial planning, structural handling/civil engineering, education, and community empowerment.
Studi Morfologi Pantai Rewata’a Desa Lalampanua Rusdi Rusdi; Feri Padli; Hendra Hendra
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i1.4039

Abstract

This research is aimed at knowing morphology characteristics and factors which influence landform that is located at Rewata’a Coastal. Geomorphology is a study stressed on landform characteristics with all processes and material at the world surface. The landform is seen as the appearance of landform as the main aspect of the landscape. The method used in this research is a qualitative descriptive method by collecting primary data, such as images or photos of land from that is directly taken from the research location. The phenomenological approach used to explain what, where, how, and why related to landform which based on available theory and prior research. The research result concludes that the Rewata’a Village morphology is cliffed coast, namely the coastal with the vertical cliff. Composed by host rock or hard sediment. Although we can find sand land at bay and north area. The landform found are delta, sea cave, beach, spit, notch, cliff, wave-cut platform, and stack.
Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial Di Kabupaten Jeneponto Laode Muhamad Irsan; Rahma Musyawarah; Amniar Ati
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i2.4773

Abstract

Jeneponto Regency is one of the biggest corn producers in South Sulawesi. Jeneponto Regency is the most suitable area for estimating corn crop production because it is the largest corn-producing region in South Sulawesi Province and has quite complex terrain variations. Agricultural management requires accurate and accurate information or data that can increase productivity and economic benefits. Get accurate and up-to-date data or information about parts of an accurate agricultural information system to support proper planning. The purpose of this study is to map climatic conditions (rainfall) and physical conditions (slope, height, soil type) and to estimate the amount of corn production and maize production maps through spatial assessment. This research was conducted in the Jeneponto Regency, which is located in the southern part of the South Sulawesi Province. The results of the study show that spatial ecology based on agro-ecosystem zones or agricultural unit units in the estimation of special maize production can increase estimation results with high accuracy. Based on the analysis of the four physical maps that have been mapped are rainfall, soil type, slope, and height which are regulated in the agro-ecosystem zone, the estimated amount with spatial ecological calculations is 159.584,05 tons. The accuracy of the estimation model results with field data reaches 95%. Based on the results of the study can conclude the results of spatial ecological research can be used as a method of estimating production on corn.
Estimasi Perubahan Kualitas Udara Berbasis Citra Satelit Penginderaan Jauh Di Sekitar PLTU Cirebon Moh. Dede; Millary Agung Widiawaty; Nurhanifah Nurhanifah; Arif Ismail; Ajeng Randhita Prabatiwakya Artati; Amniar Ati; Yanuar Rizky Ramadhan
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i2.5951

Abstract

Steam power plant construction and operation is an effort to meet electricity needs. In Indonesia, two steam power plants were built and changed the landscape in Cirebon. The presence of Cirebon steam power plants has disturbed the community and potential to decrease air quality. This study aims to estimate air quality changes around the power plants based on remote sensing satellite imageries. The main data in this study obtained from Landsat-8 OLI (2019) and Landsat-7 ETM (2004) satellite imageries were processed with four parameters of air quality algorithm namely PM10, CO, SO2, and NOx on AOI with ranging of 2000 m from the source point. Validation uses comparative data from MODIS and Sentinel-2 MSS satellite imageries in the same period. Changes analysis in air quality used the Mann-Whitney method (U-Test). This research shows that the Landsat series satellite imagery is suitable to be used as the main data for estimating air quality because it has a similar pattern to comparable data. The Cirebon PLTU operation caused a significant increase in CO levels of 1.25 mg/l on a wide range. In other air quality parameters such as PM10, SO2 and NOx were decreased.
Potensi Timah Primer Daerah Nyelanding Berdasarkan Analisis Data Geomagnet Nandito Andrian; Mardiah Mardiah; Irvani Irvani
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i2.5787

Abstract

The village area of Nyelanding is estimated that there are still many regions that have primary tin prospects, this is confirmed by the large number of community mines that are still operating. This research purposes to see the distribution of primary tin mineralization and zones where deposition of tin. This research uses a geomagnetic exploration survey method with back – rover (mobile) system, the length of the track of ±3.5 km. The spacing of 200 m as many as 44 tracks, the direction of the track from south to north with data collection techniques starting from west to east. The data obtained of a magnetic strength value which will then be interpreted into a magnetic anomaly map to determine the location of recommendations. The research method used the Geomagnetic Survey method, of GSM-19 T Magnetometer. The interpretation results, the final map with the lowest magnetic anomaly shows magnetic anomaly values ranging from -7.2 to -3.3 nT at locations 1, 2, 3, the highest magnetic anomaly ranges from -4.6 to 5.0 nT in the southern part which is an area close to community settlements and the village highway of Nyelanding, and the direction of mineral distribution for zone 1 starts from east-west, zone 2 focuses towards the middle which means from southwest-northeast direction or vice versa, zone 3 from southwest-northeast. The upward continuity map 250 and matching the location of samples containing Sn levels around the recommended zone, it is certain that the area has cassiterite minerals in the zone namely zone 1 = (342.760 m2), zone 2 = (4001.770 m2), zone 3 = (372.876 m2).

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol 5, No 2 (2023): Jambura Geoscience Review (JGEOSREV) Vol 5, No 1 (2023): Jambura Geoscience Review (JGEOSREV) Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV) Vol 4, No 1 (2022): Jambura Geoscience Review (JGEOSREV) Vol 3, No 2 (2021): Jambura Geoscience Review (JGEOSREV) Vol 3, No 1 (2021): Jambura Geoscience Review (JGEOSREV) Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV) Vol 2, No 1 (2020): Jambura Geoscience Review (JGEOSREV) Vol 1, No 2 (2019): Jambura Geoscience Review (JGEOSREV) Vol 1, No 1 (2019): Jambura Geoscience Review (JGEOSREV)