Jambura Geoscience Review

Journal Information
ISSN / EISSN : 2623-0682 / 2656-0380
Total articles ≅ 25

Latest articles in this journal

Muhammad Frido Saputra, Sidharta Adyatma, Deasy Arisanty
Jambura Geoscience Review, Volume 3, pp 18-31; doi:10.34312/jgeosrev.v3i1.5652

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.
Mohamad Khoirun Najib, Sri Nurdiati
Jambura Geoscience Review, Volume 3, pp 9-17; doi:10.34312/jgeosrev.v3i1.8259

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.
Ratna Sari Madusila, Intan Noviantari Manyoe, Cindi Claudia Male
Jambura Geoscience Review, Volume 3, pp 1-8; doi:10.34312/jgeosrev.v3i1.8462

Gorontalo is an area located in the North Arm of Sulawesi which has a complex geological structure as a result of the submergence of the Sulawesi Sea and East Sangihe so that this area is considered an earthquake-prone area. The existence of the regional structure and the mapping of the earthquake point distribution is interesting to be studied more deeply because it affects seismic activity in the area. The purpose of this study is to analyze earthquakes in the Asparaga area based on their depth and magnitude and to relate them to the geological structures found in the study area. The earthquake data used were obtained from USGS. Satellite image data used is the SRTM satellite image. Earthquake data is mapped to produce depth maps, magnitude maps, and earthquake zoning maps. Lineament data were processed using a rosette diagram. Lineament can reflect the morphology observed on the earth's surface as a result of the activity of geological forces. The results showed that the Asparaga area had shallow earthquake depths and moderate to large magnitudes. The focus of the earthquake was right on the path traversed by the geological structure and its relatively northwest-southeast direction. The geological structure in the research location is the epicenter of the earthquake because it is crossed by regional geological structures.
Asmoro Widagdo, Aang Panji Permana
Jambura Geoscience Review, Volume 3, pp 40-45; doi:10.34312/jgeosrev.v3i1.8121

The extensional structure as a normal fault could be found in many places at the southern part of Java compressive tectonic regime. The research area is in the eastern part of the South Serayu Mountains. This normal fault structure is the boundary of the South Serayu Mountains at the eastern part with Kulon Progo Tertiary volcanic Mountains. In the field, these normal fault lineament zones create the Bogowonto river as a boundary of two different geological styles. The influence of this structure on the geological dynamic of the South Serayu Mountains and the Kulon Progo Mountains is important to be explained. The study was conducted by measuring and analyzing fault data and lithology that developed in the area around the two basins boundary. The distribution of the Kulon Progo volcanic rocks indicates the presence of the extensional fault structure. The volcanic facies distribution of the volcano is cut and becomes narrow in the west, while the northward is very wide. Normal fault striations analysis on the fault plane along the fault line shows the least stress trending west-northwest that has worked to create North-South normal faults. The fault-controlled by stress with the vertical main compression area. They have worked to create North Northeast-South Southwest (NNE-SSW) normal faults with westward dipping.
Marike Mahmud
Jambura Geoscience Review, Volume 3, pp 32-39; doi:10.34312/jgeosrev.v3i1.8345

This study aims to analyze the spatial distribution of coliform and E. coli in groundwater Gorontalo City and the factors that influence it. The sampling locations were taken from 9 sub-districts consisting of 27 villages. The nine sub-districts consist of Dumbo Raya, Hulondalangi Kota Barat, Kota Utara, Kota Timur, Kota Selatan, Sipatana, Dungingi, and Padebuolo Districts. Sampling in each village consisted of 1 sample and was taken randomly. Kota Utara Sub-district consisted of 1 sample location, namely Dembe Jaya Village. Kota Timur Sub-district consists of 2 villages, namely Padebuolo and Heledulaan Selatan villages. Kota Selatan sub-district consists of Limba U 1. Kota Tengah sub-district consists of Liluwo Village. The Sipatana sub-district consists of Tanggikiki, Bulotadaa, and Tapa Villages. Dungingi sub-district consists of Tulandenggi and Libuo Villages. The total number of samples was 27. The analysis was carried out at the Gorontalo District Health Office, UPTD of Water Quality Laboratory Installation. The sampling method was carried out aseptically. Measurements in the laboratory used the MPN method. The quality standard that became the reference was Permenkes (Health Minister Regulation) number 32 of 2017 Annex 1 regarding water for sanitation and hygiene. The results of the analysis showed that the distribution of the number of coliform bacteria, in general, was at the quality standard set. A total of 24 villages of 27 locations were above the established quality standard. Regarding the number of E. coli bacteria from 27 locations, there were 5 locations above the established quality standards. The factor that affected the pollution was the distance of the septic tank which was very close to the well (water source).
Moh. DeDe, Millary Agung Widiawaty, Nurhanifah Nurhanifah, Arif Ismail, Ajeng Randhita Prabatiwakya Artati, Amniar Ati, Yanuar Rizky Ramadhan
Jambura Geoscience Review, Volume 2, pp 78-87; doi:10.34312/jgeosrev.v2i2.5951

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.
Laode Muhamad Irsan, Rahma Musyawarah, Amniar Ati
Jambura Geoscience Review, Volume 2, pp 69-77; doi:10.34312/jgeosrev.v2i2.4773

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.
Ferad Puturuhu, Restia Christianty
Jambura Geoscience Review, Volume 2, pp 94-105; doi:10.34312/jgeosrev.v2i2.4366

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.
Nandito Andrian, Mardiah Mardiah, Irvani Irvani
Jambura Geoscience Review, Volume 2, pp 88-93; doi:10.34312/jgeosrev.v2i2.5787

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).
Rusdi Rusdi, Feri Padli, Hendra Hendra
Jambura Geoscience Review, Volume 2, pp 58-68; doi:10.34312/jgeosrev.v2i1.4039

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.
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