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Department of Geography Education , University of Jember, FKIP Building Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia.
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Geosfera Indonesia
Published by Universitas Jember
ISSN : 25989723     EISSN : 26148528     DOI : https://doi.org/10.19184/geosi
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Education Environmental Science
Geosfera Indonesia is a journal publishes original research, review, and short communication (written by researchers, academicians, professional, and practitioners from all over the world) which utilizes geographic and environment approaches (human, physical landscape, nature-society and GIS) to resolve human-environment interaction problems that have a spatial dimension.
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 220 Documents
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Rain Station Network Analysis in the Sampean Watershed: Comparison of Variations in Data Aggregation Entin Hidayah; Gusfan Halik; Minarni Nur Trilita
Geosfera Indonesia Vol. 7 No. 1 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i1.29160

Abstract

The lack of rainfall-runoff accuracy is important for some applications. The choice of data aggregation that affects the estimation results is important at the level of accuracy. Some commonly used aggregations are daily, ten days, and monthly rainfall. This study aimed to compare the results of the estimation of the effect of data aggregation and to analyze the density of the rain gauge network in the Sampean watershed. The evaluation of the rain station network is carried out through the Kagan calculation. Rainfall data are from the rainfall data records for 20 years at 33 rain gauge stations. Measurement of the performance of aggregation variations using the relationship between the correlation value of rainfall with the distance between station locations. Station network positioning is assessed from alignment errors and interpolation errors. The results showed differences in the correlation and estimation values ​​in the variation of data aggregation.The greater interval can increase the effectiveness of deployment with minimum error. Based on Kagan's analysis, there is an uneven distribution of gauge stations in the Sampean watershed eventhough the average and interpolation error in the monthly rainfall is less than 5%. It is this inequality that causes gauge stations to be inefficient. Keywords : Rain gauge network; correlation; Kagan; data aggregation Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
The Carrying Capacity Analysis of Rice Plants Agriculture to Fulfill Food Needs in Pati Regency Mitha Fitria Anggraini; Eva Banowati
Geosfera Indonesia Vol. 7 No. 2 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i2.29372

Abstract

The fulfillment of food needs is one indicator of community welfare. The calculation of the carrying capacity of food crops is used to determine the extent to which an area meets its food needs. The aims of this study were: (1) to calculate the level of carrying capacity of rice plants in Pati Regency, (2) to plan land that has the opportunity to be used as a LP2B area, and (3) to find out the maximum population and year in Pati Regency to meet food needs. The technique of analyzing the carrying capacity of rice plants uses the calculation of the carrying capacity of natural resources and the analysis of determining land that has the potential to become sustainable food cropland using an overlay map analysis with ArcGIS. The results showed that the value of the rice plant commodity had a carrying capacity value of more than 1, which was 1,371. The results of the map-making, the land that has the opportunity to be used as permanent rice fields is 50.635 hectares. The maximum population that can be met by annual rice production is 1.622.356 people. The results of population projections using the geometric method, the maximum year Pati Regency can be self-sufficient in food is 2040. The fulfillment of sustainable food needs can be realized through monitoring the implementation of the LP2B program so that the conversion rate of agricultural land can be minimized. Keywords : Carrying Capacity; Rice Plants; Food Needs Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Performance of UAV Image for Flood Mapping with 2 Dimensional Model in Kaliputih River, Panti District Icha Derka; Entin Hidayah; Gusfan Halik
Geosfera Indonesia Vol. 7 No. 3 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i3.30169

Abstract

In January 2006, the flash flood in Panti Sub-district was a national disaster, causing damage to building infrastructure and fatalities. From this incident, it is necessary to have flood mitigation by providing a map of the distribution of flood inundation using a 2D hydraulic model to provide information regarding the extent of flood inundation in the study area. Due to the limited DEM data for 2D modeling, it is necessary to use UAV images to provide a DSM with good and higher resolution. This study aims to assess the performance of 2D flood modeling results using HEC-RAS equipped with RAS Mapper through UAV processing as input. There are 21 GCP in the study area as an increase in accuracy, the RMSE value in the horizontal direction is 0.3853m, and the vertical direction is 0.1836m. From the CE90 accuracy test results for a horizontal accuracy of 0.58m and LE90 for a vertical accuracy of 0.30m, it can be concluded that the map accuracy test meets the 1:2500 scale. Terrain maps are input to HEC-RAS; selected meshes are 5x5m and 2x2m. The modeling results can show the inundation depth in each GCP from the min-max depth. The model calibration shows an RMSE value of 0.183, while the flood depth validation shows an RMSE value of 0.13. In other words, modeling can represent the distribution of flood inundation in the study area and provide benefits for the community to be more alert in the event of a flood in the coming year. Keywords : UAV; GCP; DSM; HEC-RA; Flood mapping Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Performance of Soil Quality: Indicator-Based GIS Analysis of Jamuna-Dhaleshwari and Surma-Kushiyara Floodplain Regions, Bangladesh Tanbi Tanaya Sarker; Sameena Begum; Md. Shohel Khan; Mohammed Abdus Salam; Shehan Tawsif
Geosfera Indonesia Vol. 7 No. 1 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i1.30234

Abstract

Bangladesh is an agriculture based economic country formed by sediment deposition from upstream rivers. This riparian country covered with fertile soil that supports agricultural diversification. The study aimed to compare current soil quality of Jamuna-dhaleshwari (Manikganj) and Surma-kushiyara (Sylhet) floodplain physiographic regions to forecast about agricultural productivity. Soil quality was assessed through physical (soil texture and moisture), and chemical (pH, electrical conductivity (EC), salinity, soil nutrients (N, P, K), and organic matter content) indicators. A total of 36 soil samples in three different depths (0-15cm, 15-50cm, 50-100cm) from 12 sites were collected from Manikganj and Sylhet Districts. The average particle size and moisture content ratios of Manikganj: Sylhet were gravels (7.88:5.8), very coarse sand (6.85:8.53), coarse sand (7.45:13.2), medium sand (7.35:14), fine sand (6.12:16.4), very fine sand (24.3:19.9), silt (39.56:20.57), and clay (29.3:32.81), followed by, pH (7.61:6.31), and EC (0.24:0.18), respectively. The result revealed that the soil was bit alkaline for Manikganj, compared to range from alkaline to acidic in Sylhet and non-saline for both areas that was suitable for agriculture. The average concentration of nitrogen (N), phosphorous (P), potassium (K) nutrients in Manikganj and Sylhet Districts were 0.14%, 3.73 meq/100g, 0.07 µg/g; 0.16%, 3.11 meq/100g, 0.08 µg/g and organic matter were 3.65% and 4.7%, respectively. The results of nutrients in both areas indicated that nutrients were very poor but soil organic matter content was sufficient for agricultural activities. The study concluded that soil texture, pH, salinity and organic matter content in both areas were suitable for agricultural purposes, but a significant declined was found in soil moisture and nutrients quality. Finally, it was recommended that soils of Manikganj were more sustainable for agricultural activities. Keywords : Soil quality; soil texture; organic matter; spatial distribution Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
The Effect of Gender and Academic Levels Differences on Disaster Preparedness Knowledge of Pre-Service Teachers Rima Meilita Sari; Ridhwan Ridhwan
Geosfera Indonesia Vol. 7 No. 2 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i2.30236

Abstract

The earthquake and tsunami experienced in Aceh created the importance of disaster preparedness. Efforts to improve disaster literacy, including knowledge of its effects, should be conducted. The aims of this study are 1) knowing the level of student’s disaster preparedness knowledge, 2) obtaining gender differences in disaster preparedness knowledge, 3) knowing the difference in academic level on disaster preparedness knowledge, 4) knowing the effect of interaction between gender and academic level on disaster preparedness knowledge. This research involved Geography pre-service teachers on STKIP Al-Washliyah. The results were quantitative data obtained from a disaster preparedness knowledge test, and data collection used multiple-choice tests. A knowledge test instrument was created and validated for data validity and reliability using a wondershare quiz generator. Data were analyzed using an index to decide the extent of knowledge on disaster preparedness. The ANCOVA approach was evaluated to examine the relationship between gender and educational degree. The results indicate that 1) the score for knowledge of disaster preparedness is 49.11, which indicates that knowledge is still in the low category, 2) there is a difference in knowledge of disaster preparedness between male and female pre-service geography teachers with a significant value of 0.004 (<0.05), 3) there is a difference in knowledge of pre-service geography teacher with different academic levels and significance value of 0.000 (<0.05), 4) when viewed from the interaction between gender and academic level, no significant relationship was found on knowledge of disaster preparedness with a score of 0.185 (p> 0.05). According to the findings, it is crucial to increase disaster preparedness knowledge in basic and advanced courses of geography education study programs. Therefore, pre-service geography teachers have good knowledge and skills in disaster preparedness. One of the steps to increase knowledge is providing teaching materials and disaster simulation programs. Keywords : Disaster preparedness knowledge; Pre-service teacher; Gender; Academic levels Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
The Implementation of Disaster Curriculum Toward Disaster Preparedness Campus at Syiah Kuala University Ahmad Nubli Gadeng; Enok Maryani; Epon Ningrum; Iwan Setiawan
Geosfera Indonesia Vol. 7 No. 3 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i3.30246

Abstract

The earthquake and tsunami disasters in Aceh Province, Indonesia led to several injuries, deaths, unfound bodies, and high property losses on 26 December 2004. This hazardous period has reportedly become a valuable case for Syiah Kuala University, where various solutions are being considered for eradicating subsequent occurrences. Therefore, this study aims to determine the implementation patterns of the disaster curriculum developed and applied at Syiah Kuala University, to achieve a DPC (Disaster Preparedness Campus) reputation and enhance DP (Disaster Preparedness) among community members, especially students. A qualitative verification method outlined as a description was used, due to being an inductive approach to the entire experimental process. Data collection was also carried out through observation and literature review, as well as several interviews with the following, (1) The head of the technical implementation unit general course of Syiah Kuala University, (2) The coordinator and lecturer of disaster and environmental knowledge course, and (3) The students of Syiah Kuala University studying the course. After this process, a Delphi method was used to analyze the data obtained, with the outcomes confirmed by a competent expert. Based on the results, three important steps were found to improve disaster preparedness among the people of Aceh and Syiah Kuala University students, namely (1) The establishment of the Tsunami Disaster Mitigation Research Center in 2006, (2) The establishment of the Master Program Study of Disaster Science in the university's Postgraduate Program in 2010, and (3) Development of the general course of disaster knowledge and environment in 2016, which was a compulsory requirement for all students from various faculties, departments, and programs. This indicated that Syiah Kuala University was the first campus to mandate a disaster science course in Indonesia. These results are expected to improve disaster preparedness for students, with Syiah Kuala University becoming a DPC (Disaster Preparedness Campus) in Indonesia. Keywords : Implementation; Disaster Curriculum; Disaster Preparedness Campus Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City Ayub Sugara; Agung H. Lukman; Aninda W. Rudiastuti; Ari Anggoro; Muhammad F. Hidayat; Feri Nugroho; Ali M. Muslih; An Nisa N. Suci; Rifi Zulhendri; Marissa Rahmania
Geosfera Indonesia Vol. 7 No. 3 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i3.30294

Abstract

The mangroves' aboveground biomass significantly contributes to the global carbon cycle or economic and ecological values. This makes knowledge about the spatial extent of the mangroves indispensable for policymakers. The sequence of mangroves’ condition range also requires remote sensing data to update the geographical information and synthesize carbon stock in Bengkulu. Therefore, this study aims to create a spatial distrribution of mangroves and evaluate their carbon stock in Bengkulu City using Sentinel-2 imagery. The semi-empirical method uses Sentinel-2 imagery through NDVI to appraise and picture the mangroves' aboveground carbon stock. An allometric equation was used to compute the mangroves' aboveground carbon stock from field measurements. Non-linear regression was used to establish a connection between the NDVI calculated from the Sentinel-2 imagery and the mangroves' aboveground biomass measured in the field, which was subsequently used for aboveground carbon estimation. The results showed that mangroves mapping could derive overall accuracy of 89.09%, where the high-density class existed in 135.12 Ha of total area. It was also discovered that Sentinel-2 imagery could estimate mangroves carbon stock up to 61%. The carbon stock estimation based on the imagery has a value of 16.3992 – 115.134 t C/ha, while that of field survey data ranges from 19.69 to 326.06 t C/ha. These results showed that Sentinel-2B spectral data is functional and has a good chance of being able to predict carbon stock. Keywords : Carbon; mangroves; NDVI; remote sensing; sentinel-2B Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
The Application of Multi Temporal Satellite Data For Land Cover Mapping of Bawean Island, East Java Zainul Hidayah; Haryo Dwito Armono; Maulinna Kusumo Wardhani; Dwi Budi Wiyanto
Geosfera Indonesia Vol. 7 No. 3 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i3.30797

Abstract

Land cover dynamics in a small island can be determined using Geographic Information System (GIS) approach based on multitemporal image analysis. This study aimed to classify major land cover types and to map land cover changes of Bawean Island. Two sets of 10 meter resolution satellite data ALOS AVNIR (2010) and Sentinel-2A (2020) were used in this study. Satellite image analysis was carried out through several stages namely image pre-processing including radiometric and geometric correction, supervised image classification and accuracy test. Image classification results from 2010 to 2020 showed a significant change in land cover on Bawean Island. The forest vegetation land cover declined significantly from 13,470.5 Ha in 2010 to 8,543.4 Ha in 2020. Most of the area have been converted into paddy fields and built-up areas. The accuracy test and validation were determined by comparing the 2020 Sentinel image classification results with field observation conducted in 2021. The analysis showed good results with 82.52% overall accuracy and 79.66 Kappa coefficient. Further investigation found that changes in land cover on Bawean Island occured due to the agriculture and infrastucture development. Keywords : Geographic Information System (GIS); land cover; satellite images; small island Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Worldwide Efficiency of Bioremediation Techniques for Organic Pollutants in Soil: A Brief Review Sana Akhtar; Ayesha Mohsin; Aiman Riaz; Farhan Mohsin
Geosfera Indonesia Vol. 8 No. 1 (2023): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v8i1.30875

Abstract

Soil pollution is a major human and environmental issue. Among the several components of soil degradation, organic contaminant in soil is regarded as a significant factor that causes considerable damage to the environment along with several health dangers to humans. Polychlorinated biphenyls, polycyclic aromatic hydrocarbons, polychlorinated dibenzofurans, poly-brominated biphenyls, organic fuels particularly gasoline and diesel, herbicides, insecticides (carbamate and organophosphorus) are by far the most common forms of organic pollutants identified in soils. The employment of living organisms such as microorganisms and plants in bioremediation technology reduces/degrades, eliminates, and transforms pollutants found in soils, sediments, and water. This review examine and critically view the efficiency of bioremediation techniques for the polluted sites. The most common bioremediation technologies for the treatment of organic pollutants are bioventing, bio-sparging, bio-slurping, bio-augmentation, phytoremediation, bio-immobilization, bio-sorption, composting, land farming, aerobic degradation, co-metabolic and natural attenuation. The efficiency of these techniques depends on the pH, type of soil, level of oxygen, any other electron acceptors, temperature, and the nutrients. Selection of the treatment process depends upon the type of pollutant, concentration of the contaminant, site and source of pollution. All the treatment techniques are not good for all type of pollutants. Cost-effective techniques are mostly used worldwide as they have more public acceptance. Pump and treat methods were mostly used in Past but due to its non-reliability and excessive cost, these techniques are no longer in use.
Analysis of the Dynamics of Water Flow and Suspension Flow Discharge in Volcano Watershed with Settlement Land Use La Ode Hadini; Junun Sartohadi; Muhammad Anggri Setiawan; Djati Mardiatno; Nugroho Crhristanto
Geosfera Indonesia Vol. 8 No. 1 (2023): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v8i1.30921

Abstract

Suspension flow into the upstream of volcano watershed is sensitive to land use. In Indonesia, a settlement is a form of land use in several volcanic landscapes. There is currently no detailed study on the suspension flow sediment from the settlement land use. The purpose of this study is to investigate the characteristics of the relationship between water and suspension flow discharge. The study was conducted through the measurements at a gully outlet that produced 747 suspension load data. For each rainfall event, suspension load measurements were made in the field, followed by laboratory analysis. Additionally, field surveys were used to determine the characteristics of settlement land use and the water flow into the gully system. According to the findings, the peak flow discharge corresponds to the peak suspension discharge, the peak flow discharge comes before the peak suspension discharge, and the peak flow discharge happens after the peak suspension discharge. The average time lag between initial rainfall events and suspension flow was 10.36 minutes, and the suspension peak content varied by an average of 2.22 gl-1. The grain size was also dominated by the clay fraction, averaging 67.86% on the ascending branch and 67.82% on the descending branch.

Page 12 of 22 | Total Record : 220

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