cover
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
ISSN : 26230682     EISSN : 26560380     DOI : https://doi.org/10.34312/jgeosrev
Core Subject : Science,
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.
Articles 38 Documents
Mapping of Landslide Hazard Distribution in Alo Watershed Gorontalo Regency Jaya, Risman; Rijal, Ahmad Syamsu
Jambura Geoscience Review Vol 2, No 1 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i1.2671

Abstract

Landslide occurrence can be influenced by physical factors and human activities. Thus, research related to the provision of information about landslide distribution in Alo watershed is needed as a basis in enhancing community preparedness in dealing with disasters. The method used in this study is the scoring method based on the Minister of Public Works Regulation No.22 / PRT / M / 2017 which is processed through a geographical information system through the overlay of all physical parameters. The result shows that the Alo watershed area is divided into three vulnerability categories. "Low" category covers 7171.8 ha, "medium" category covers 12008.7 ha, and "high" category covers 5039.5 ha out of 24.221 ha the total area of Alo watershed. Information provided in this research is expected to be able to help the local government in making policies in managing the Alo watershed area and enhancing the understanding of the local community in Alo watershed in dealing with disasters.
Estimasi Perubahan Kualitas Udara Berbasis Citra Satelit Penginderaan Jauh Di Sekitar PLTU Cirebon Dede, Moh.; Widiawaty, Millary Agung; Nurhanifah, Nurhanifah; Ismail, Arif; Artati, Ajeng Randhita Prabatiwakya; Ati, Amniar; Ramadhan, Yanuar Rizky
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.
Earthquake Damage Level of Gorontalo Area Based on Seismicity and Peak Ground Acceleration Manyoe, Intan Noviantari; ., Lantu; Arif, Samsu; Lahay, Rakhmat Jaya
Jambura Geoscience Review Vol 1, No 1 (2019): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v1i1.2018

Abstract

Gorontalo is located at the macro and micro plate boundary, therefore it is located in an active seismotectonic region. This study aims to analyze earthquake damage level in Gorontalo based on seismicity and peak ground acceleration. The data used is obtained from the USGS. Data is made into a database and plotted onto a geological map. Calculation of peak ground acceleration is obtained using the Kawashumi formula. The results of this study indicate that Gorontalo is included in the slight to moderate earthquake damage level because it is dominated by shallow to intermediate earthquakes depth, light to moderate earthquake magnitude, and have a peak ground acceleration 1,462 - 99,714 gal.
Evaluasi Kesesuaian Lahan Untuk Tanaman Durian Menggunakan Metode Matching Saputra, Muhammad Frido; Adyatma, Sidharta; Arisanty, Deasy
Jambura Geoscience Review Vol 3, No 1 (2021): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v3i1.5652

Abstract

Land suitability evaluation is a process of assessing the potential of land for a particular use, whether in agriculture, plantation, tourism, land conservation, or other types of use. This study aims to determine the land suitability class for durian plants in Aranio District and determine the inhibiting factors on the land using the matching method. The population in this study was 12 land units and each unit was taken 2 samples. Land units are obtained from overlay maps of landforms, slope maps, geological maps, soil association maps, and land use maps. The results showed that the land in Aranio District was included in the suitability class S2 (moderately suitable) with an area of 15069.68 hectares or 33.13%, S3 (marginally suitable) with an area of 1485.78 hectares or 3.27%, and N1 (not current suitable) with an area of 3980.03 hectares or 8.75%. The limiting factor is slope, erosion hazard, pH, soil depth, surface rock, alkaline saturation, flood hazard, phosphate, K2O, and N-Total. The villages in the Aranio sub-district are used to develop durian plants because they have land suitability classes of S2 and the use of shrubs, fields, and mixed gardens are above 50%, namely Tiwingan Baru and Tiwingan Lama villages.
Studi Fasies Formasi Endapan Danau Untuk Menentukan Lingkungan Pengendapan Danau Limboto A Amin, Abd Kadir Mubarak; Arifin, Yayu Indriati; Akase, Noviar
Jambura Geoscience Review Vol 1, No 2 (2019): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v1i2.2056

Abstract

The research area located in the lowland zone and the corrugated hilly zone which is dominated by sedimentary rocks. Therefore, this study aims to determine the geological features of the research area and the study of depositional environmental facies of the Lake Deposits Formation as an analysis of the depositional environment of Limboto Lake. The research method used is the surface geological mapping, measuring a section of stratigraphic and laboratory analysis. Field data consists of stratigraphical features of the research area. Laboratory analysis consists of petrography and stratigraphy-sedimentology analysis. It can be concluded facies and stratigraphy of research from older to youngest, consists of clastic limestones unit formed in Late Miocene-late Early Pliocene age, reef limestones formed in Late Miocene-early Late Pliocene age, sandstones unit formed in Late Pliocene-Pleistocene age, clay unit, and sandy clay unit are deposited in Holocene. Overall the study site consisted of marine, transitional and terrestrial deposition environment with Lake Deposits Formation facies is lake margin clastic deposits and meandering-stream environment deposits.
Perubahan Tutupan Lahan dan Pengaruhnya Terhadap Pola Persebaran Suhu di Kota Gorontalo Duka, Mohammad; Lihawa, Fitryane; Rahim, Sukirman
Jambura Geoscience Review Vol 2, No 1 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i1.2682

Abstract

Gorontalo City is one of the regions in Gorontalo Province. Urban development and population growth, causing pressure on land use patterns. Changes in land use are carried out to meet the community's needs for infrastructure. At present, development in Gorontalo City is still ongoing. The increase in temperature is expected to continue and can trigger heat island. This is very important to be studied for the Gorontalo City development planning that is more environmentally friendly. This study aims to analyze the heat island phenomenon through the relationship of the spatial distribution of surface temperature with various types of land cover and vegetation characteristics. The object of this research is the Gorontalo City area on Landsat path-row 121- 65 satellite imagery media. The research material is the wavelength of visible light, near-infrared and moderate infrared and thermal wavelengths on satellite imagery of Landsat TM and OLI TIRS. The results showed an increase in temperature in Gorontalo City since 1990, 2003, and 2017. The correlation between surface temperature and land cover is negative. The value of the correlation coefficient (r) in 1990 was -0.41. The correlation coefficient (r) in 2003 was -0.448. The correlation coefficient (r) in 2017 is -0.402. Changes in surface temperature in Gorontalo City are influenced by changes in the land cover which is marked by the similarity of patterns of changes in surface temperature distribution with patterns of land cover changes.
Analysis of Seagrass Condition Using Spectral Reflection of Quickbird Imagery on Saronde Island North Gorontalo Yusuf, Daud; ., Indrawan
Jambura Geoscience Review Vol 1, No 1 (2019): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v1i1.2015

Abstract

This study was encouraged by the importance of understanding the conditions of seagrass which becomes the source of food for many species of marine fish. Seagrass condition will indirectly affect the quantity and quality of fish obtained by fishermen who live in coastal areas. High-resolution imagery can simplify and accelerate data collection process of conditions of seagrass on the outer islands of Gorontalo Province. This study used digital remote sensing method using unsupervised classification and also assisted by the measurements of the transcule based on the pixel size that aims to detect and to match the information obtained from QuickBird imagery, to ultimately obtain information about seagrass condition. Seagrass with abundant/good condition can be found at station 1,3,4,5, and 6 with an average cover up to 67,70%, 63,54%, 68,75%, 62,5%, and 65,62% respectively. Meanwhile, seagrass with the less abundant/poor condition can be found at station 2 with an average cover up to 50% and at station 7 with an average cover up to 52,08%. Distribution of seagrass on Saronde Island covers up to 6. 9654 Ha. Seagrass with abundant/good condition covers 4,2025 Ha, and lowly abundant/poor seagrass covers 2,7629 Ha. Seagrass on Saronde Island is still in abundant/good condition with an average cover up to 61,45 % and form mixed vegetation.
Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial Di Kabupaten Jeneponto Irsan, Laode Muhamad; Musyawarah, Rahma; Ati, Amniar
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.
Interaksi Spasial Kondisi Sosial-Ekonomi Terhadap Kerawanan Kejahatan Di Kota Bandung (Studi Kasus Sumur Bandung) Dede, Moh.; Sugandi, Dede; Setiawan, Iwan
Jambura Geoscience Review Vol 1, No 2 (2019): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v1i2.1756

Abstract

Crime is an unplanned change due to the process of urban development. The geographical approach is able to analyze spatial interactions of criminogenic factors into crime phenomenon. This study aims to explain the spatial interaction between socio-economic conditions and crime risk in Bandung City. The crime risk is obtained through Kernel Density Estimation (KDE) method based on The Annual Crime Data from Bandung Police Department, whereas the socio-economic condition data is revealed from interview and questioner with 176 respondents who determined by multistage random sampling in 37 hamlets. Variable interactions are analysed based on Geographically Weighted Regression (GWR) with Gaussian Distance Function type of cross validation as optimum weight. The results show the socio-economic conditions has a positive and significant effect on crime risk. This model shows that the independent variable acts as a crime attractor. Partially its known that economic conditions have a stronger interaction with crime risk than the social climate. The strongest interaction between variables are concentrated in the southern of Kebon Pisang Urban Village, precisely in the area passed by arterial roads at southern of Sumur Bandung. Crime prevention efforts are conducted using environmental interventions by the formal security personnels and strengthening the social climate of the community.
Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur Najib, Mohamad Khoirun; Nurdiati, Sri
Jambura Geoscience Review Vol 3, No 1 (2021): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v3i1.8259

Abstract

The IOD can be measured using the Dipole Mode Index (DMI) which is calculated based on the sea surface temperature in the Indian Ocean. Therefore, DMI can be predicted using sea surface temperature forecasting data, such as data provided by the European Center for Medium-Range Weather Forecasts (ECMWF). However, the data still has a bias as compared to the actual data, so to get a more accurate prediction, corrected data is needed. Therefore, the aim of this study is to predict DMI based on sea surface temperature forecasting data that has been corrected for bias using the quantile mapping method, a method that connects the distribution of forecasting and actual data. The results showed that the DMI prediction using corrected data was more accurate than the DMI prediction using ECMWF data. DMI predictions using corrected data have high accuracy to predict IOD events in October-April.

Page 1 of 4 | Total Record : 38