{"title":"Flash Flood Susceptibility Mapping at Andungbiru Watershed, East Java Using AHP-Information Weighted Method","authors":"Devi Ratna Handini, E. Hidayah, G. Halik","doi":"10.19184/geosi.v6i2.24173","DOIUrl":"https://doi.org/10.19184/geosi.v6i2.24173","url":null,"abstract":"Flash floods are among the most frequent natural disasters caused by heavy rain associated with a severe thunderstorm, which leads to social and economic losses in infrastructure and agriculture. Therefore, this research aims to map flash flood potential susceptibility (FFPS) in the Pekalen watershed, using Geographic Information System (GIS) technology and statistical analysis to reduce the risk of flooding. The opinion and experience of an expert on the weight assessment method were carried out using the Analytical Hierarchy Process (AHP). Furthermore, the probability statistical methods and GIS were used in flash flood areas in the Pekalen watershed in Andungbiru, Probolinggo village. This study was carried out using geomorphological factors, namely elevation, slope, stream power index, and topographic wetness index, with a resolution of 30 m. Thematic map scale of the land use, river density, distance to the river, rainfall, and geology is in the ratio of is in a ratio of 1:25.000. Imagery processing was carried out using Landsat 8 30 m x 30 m resolution imagery, such as the Normalized Difference Vegetation Index. The result showed that the model map of FFPS obtained low 8%, low 23%, moderate 27%, moderate to high 26%, high 13%, and very high 2% index values. The next stage of modeling analysis led to validation using statistic receiver operating Characteristic Curve (ROC) of area Under Curve (AUC) with a value of 90.15. In conclusion, the factors that significantly trigger flash floods are distance to the river, land use, and slope. Keywords: AHP-weighted; information content; FFSP; GIS; Geomorphology Copyright (c) 2021 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","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis on Factors Influencing Geography Teachers’ Ability in Constructing High-Order Thinking Skills (HOTS) Assessment Instrument","authors":"S. Suhendro, D. Sugandi, M. Ruhimat","doi":"10.19184/geosi.v6i2.21428","DOIUrl":"https://doi.org/10.19184/geosi.v6i2.21428","url":null,"abstract":"The teacher's ability to construct assessment instruments is a focus that needs to be considered. Furthermore, the demand of the 21st century directs teachers to set questions that are oriented to train students' abilities in higher-order thinking. However, several factors affect the ability to construct HOTS-oriented assessment instruments. This study aims to investigate what factors influence geography teachers’ ability to develop higher-order thinking skills (HOTS) instruments to measure learning outcomes. This study used a survey method with a quantitative approach. The data collection technique was field observation, and multiple linear regression was used for analysis. The results showed the linearity of teacher education regarding the length of teaching geography was 0.904, the tertiary institution was 0.009, and the background of education was 0.019. Also, teachers' certification was 0.007, their training was 0.032, and their experience in making HOTS questions was 0.047. The coefficient value of determination R, namely 0.635 means the relationship between teaching length, the linearity of their education in tertiary institutions, background, certification, training, and experience regarding the ability to develop HOTS-oriented assessment instruments is 63.5%. This means the relationship is strong, and 36.5% is another factor. This study concludes that the factors that significantly affect the ability of geography teachers in developing HOTS-oriented assessment instruments are the linearity factor of teacher education in universities, education background, certification, teacher training and experience in making HOTS questions. Keywords: Teacher ability factors; Assessment, Higher-order thinking skills Copyright (c) 2021 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","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping of Soil Quality Index (SQI) for Paddy Fields Using Sentinel-2 Imagery, Laboratory Analysis, and Principal Component Analysis","authors":"P. Sari, I. Indarto, M. Mandala, B. E. Cahyono","doi":"10.19184/geosi.v6i2.24506","DOIUrl":"https://doi.org/10.19184/geosi.v6i2.24506","url":null,"abstract":"The use of intensive chemical inputs causes lower availability of nutrients, organic matter, cation exchange capacity, and soil degradation.Therefore, this study aims to assess the soil quality index (SQI) for paddy fields in Jember, East Java, Indonesia. Input data for this study consist of land cover (interpreted from the Sentinel-2 image), soil type, and slope maps. Furthermore, the procedure to calculate soil quality index (SQI) include (1) spatial analysis to create the land unit, (2) preparation of soil sampling, (3) soil chemical analysis, (4) principal component analysis (PCA), and (5) reclassifying soil quality index (SQI). The PCA results showed that three variables i.e., % sand, total- P, and % silt were strongly correlated to SQI, while three classes namely very low, low, and medium of SQI were sufficiently used to describe the spatial variability of the paddy field. Furthermore, approximately 41.14% of the paddy field area were classed as very low while 52.23%, and 6.63% were categorized as low and medium SQI respectively. Based on the results, about 93.37% of paddy fields in Jember Regency still require improvement in soil quality via the addition of ameliorants such as organic fertilizers to increase quality and productivity. This application needs to focus on areas with very low-low quality hence, the quality increased to the medium category. Keywords : Mapping; Soil Quality Index (SQI); PCA; Paddy field Copyright (c) 2021 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","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Safira, M. Sari, S. Notodarmojo, Takanobu Inoue, R. K. Harryes
{"title":"Potential Utilization Analysis of River Waste in Jakarta, Indonesia","authors":"R. Safira, M. Sari, S. Notodarmojo, Takanobu Inoue, R. K. Harryes","doi":"10.19184/geosi.v6i2.23297","DOIUrl":"https://doi.org/10.19184/geosi.v6i2.23297","url":null,"abstract":"There are still many people in Jakarta who throw their garbage into the river, resulting Jakarta city never being absent from the problems of river water pollution and flooding. Pesanggrahan River and Grogol River are some of the big river surrounded by high popullation area. All waste originating from the Pesanggrahan River and the Grogol River is dumped into the Bantar Gebang Landfill. This study aimed to reduce waste entering landfills are by making use of waste that still has economic value.The method used in decision making from various alternatives of the river waste utilization are utility theory and compromise programming. It takes planning to find out the composition and generation of solid waste from those rivers and to determine the potential use of river waste and the action to minimize and handle the river waste. Utilization of river waste that can be applied based on the composition of most waste is open windrow composting and plastic shredding. It is important to concern about river waste since Indonesia has various polluted river, especially by solid waste. By implementing a good river waste utilization, the waste that enters the landfill will be reduced and in line with reduced pollution to the aquatic environment. Keywords: Solid waste; Water; Generation; Composition; Utilization Copyright (c) 2021 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","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial Database Designing for Environmental Monitoring and Decision Making in Mitrovica Region, The Republic of Kosovo","authors":"B. Idrizi, Edon Maliqi, Lyubka Pashova","doi":"10.19184/geosi.v6i2.23934","DOIUrl":"https://doi.org/10.19184/geosi.v6i2.23934","url":null,"abstract":"The integration of spatial data analysis methods and thematic map models is an approach to reduce the negative impact of anthropogenic pressure on the environment due to mining and waste generation. The large amounts of industrial waste from mining in the Mitrovica region in northern Kosovo lead to serious environmental problems with organic and inorganic water and soil pollution. This study aims to design and establish a geospatial database for long-term environmental monitoring, provide analytical tools, and support appropriate management decisions by local authorities and agencies. The database contains topographical elements and ecological parameters collected from different national and open access international sources. All collected data have been analyzed, standardized and harmonized within the open-source QGIS ver.3 software. The results showed that in developed datasets were organized in different GIS layers and compiled several thematic maps. The designed database is unique by its architecture, providing an opportunity for periodical monitoring of the environment near the mining areas. Keywords: Environmental monitoring; Spatial database; Open source software; QGIS; Kosovo. Copyright (c) 2021 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","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. M. Agaja, E. A. Adeleke, E. Adeniyi, Precious Temilade Afolayan
{"title":"The Assessment of Deforestation Impact Towards Microclimate and Environment in Ilorin, Nigeria","authors":"T. M. Agaja, E. A. Adeleke, E. Adeniyi, Precious Temilade Afolayan","doi":"10.19184/geosi.v5i3.16874","DOIUrl":"https://doi.org/10.19184/geosi.v5i3.16874","url":null,"abstract":"Nigeria obtains high rate of deforestation with a loss of about 60 percent of its primary forests between 2000 and 2005 as a result of logging, subsistence agriculture, wood exploitation, and urban expansion.This research assessed the level of deforestation and how it has affected Ilorin’s microclimate and the environments. The specific objectives of this study were assessing the relationship that occurs between deforestation and microclimate, examining deforestation and the impact it has within the study area of microclimate, and forecasting the microclimate within the study area by the year 2030. The statistical tools engaged were both descriptive (mean, frequency distribution table and, bar charts) and inferential statistics (multiple regression analysis). The research indicated that there is a significant relationship between deforestation with r2 variables of 0.888 for maximum temperature, 0.201 for minimum temperature, 0.997 for precipitation, 0.43 for solar output, -0.797 and -0.873 for evapotranspiration and relative humidity respectively and Ilorin’s microclimate. The study concludes that deforestation greatly influences the microclimate of Ilorin and occurs due to human’s anthropogenic activities. Deforestation has also led to climate change. \u0000Keywords: Deforestation; Climate; Micro-climate; Vegetation Cover \u0000Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48698187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Multimedia Learning Geography Based on Adobe Flash to Increase Students’ Curiosity","authors":"Wahid Yuda Rejeki, M. Mukminan","doi":"10.19184/geosi.v5i3.14765","DOIUrl":"https://doi.org/10.19184/geosi.v5i3.14765","url":null,"abstract":"This study aimed to analyze: (1) The needs of multimedia Adobe Flash-based towards geographic learning, (2) Geography multimedia learning of Adobe Flash-based to increase students' curiosity, and (3) The feasibility of utilizing geography multimedia based on Adobe Flash-based learning using ADDIE method. The needs of multimedia learning assessment data were collected through questionnaires towards respondents (2 teachers and 32 students). Meanwhile, regarding the feasibility of multimedia geography learning to increase students' curiosity, data were gathered both by tests and questionnaires. The feasibility assessment was performed with expert validation instruments and student assessments. The data analysis tool utilized was one-way ANOVA. The study results as follows: (1) Students needs of geography multimedia learning based on Adobe Flash, (2) For effectiveness rate of multimedia and treatment, Fcount = 20,875> Ftable = 3.99, indicates that geography learning based on Adobe Flash is can escalate students’ curiosity, (3) Based on experts judgments and the students’ assessments, it could be concluded that the geography multimedia learning based on Adobe Flash is 91.4%, hence it is very suitable to be implemented. Multimedia learning based on Adobe Flash geography has increased students' curiosity and feasible to implement. \u0000Keywords: Adobe Flash; Geography; Multimedia; Curiosity. \u0000Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46040527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies","authors":"Ziyad Ahmed Abdo, S. Prakash","doi":"10.19184/geosi.v5i3.18284","DOIUrl":"https://doi.org/10.19184/geosi.v5i3.18284","url":null,"abstract":"Land cover dynamics is a challenging and vigorous process that associates natural and human systems that have undeviating effects on atmosphere, water and soil which lead to many environmental problems worldwide. Urbanization is one of a major land cover change that is highly correlated with many environmental problems that need emphasis. This paper aimed to review and present level and effect of land use land cover changes, urbanization, factors affecting land cover change and application of geographic information system & remote sensing in monitoring land cover changes. Over the past 300 years, about 1.2 million kilometer square of forests and 5.6 million kilometer square of pasture and rangeland were replaced by other uses worldwide, while cultivated land increased by 12 million km2. In 1950, only 30 percent of the world population lived in urban settings, the fraction raised to 55% by 2018. This led to about roughly 60% of the ecosystem services are being destroyed or used in unsustainable ways worldwide. Population expansion, change of technology, high land value, corruption, lack of awareness, migration of people and political pressure are among major driving force of land cover changes. Geo-informatics technology specially GIS and Remote Sensing is found to be an excellent tool for study of land cover change that enables observation across large area of earth’s surface with low cost, better efficient and high accuracy. Therefore monitoring, analyzing and evaluation of land cover dynamics with the help of geo-informatics is decisive for improved management & characterizing land cover alteration processes, and determining its environmental consequences. \u0000Keywords : land use; land cover change; urbanization; GIS & remote sensing; environment \u0000Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41868114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Bernardes, Margueritte Madden, Ashurst Walker, Andrew Knight, N. Neel, Akshay Mendki, Dhaval Bhanderi, Andrew Guest, Shannon M. Healy, T. Jordan
{"title":"Emerging Geospatial Technologies in Environmental Research, Education, and Outreach","authors":"S. Bernardes, Margueritte Madden, Ashurst Walker, Andrew Knight, N. Neel, Akshay Mendki, Dhaval Bhanderi, Andrew Guest, Shannon M. Healy, T. Jordan","doi":"10.19184/geosi.v5i3.20719","DOIUrl":"https://doi.org/10.19184/geosi.v5i3.20719","url":null,"abstract":"Drawing on the historical importance of visual interpretation for image understanding and knowledge discovery, emerging technologies in geovisualization are incorporated into research, education and outreach at the Center for Geospatial Research (CGR) in the Department of Geography at the University of Georgia (UGA), USA. This study aimed to develop the 3D Immersion and Geovisualization (3DIG) system consisting of uncrewed aerial systems (UAS) for data acquisition, augmented and virtual reality headsets and mobile devices, an augmented reality digital sandbox, and a video wall. We were working together integrated data products from the UAS imagery, including digital image mosaics and 3D models, and readily available gaming engine software to create augmented and virtual reality immersive visualizations. The use of 3DIG in research is demonstrated in a case study documenting the seasonal growth of vegetables in small gardens with a time series of 3D crop models generated from UAS imagery and Structure from Motion photogrammetry. Demonstrations of 3DIG in geography and geology courses, as well as public events, also indicate the benefits of emerging geospatial technologies for creating active learning environments and fostering participatory community engagement. \u0000Keywords: Environmental Education; Geovisualization; Augmented Reality; Virtual Reality; UAS, Photogrammetry \u0000Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49316682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Application of Geographic Information System (GIS) and Remote Sensing in Quantifying Snow Cover and Precipitation in Kabul Basin","authors":"Q. Zaman, S. Khan","doi":"10.19184/geosi.v5i1.14896","DOIUrl":"https://doi.org/10.19184/geosi.v5i1.14896","url":null,"abstract":"Water Resources availability is very important to social and economic well-being of the people and has huge impacts on the socio-economic scenarios of a country. Precipitation and snow cover area assessment is some of the major inputs in hydrologic modelling and also for assessing and managing water resources in a basin. The change in the water availability in a basin has huge socio-economic impacts because of the water usage for food production, industries, and many others. The main aim of this study was to measure the snow cover area and precipitation from 2001 to 2015 in the Kabul basin. Moderate Resolution Image Spectroradiometer (MODIS) and Tropical Rainfall measuring Mission (TRMM) data were used to study snow cover area and precipitation respectively during 2001-2015. 8-day snow cover product for 15 years (January) was used to analyse the snow cover while monthly data of TRMM (3B43) were used to analyse the rainfall from 2001-2015. Different image processing techniques were applied on the data retrieved using GIS and Remote Sensing softwares. Initially, SCA was seen increasing, but during the last 3-4 years, it kept decreasing gradually. Rainfall was initially recorded as low, while later on, it was recorded high and reached the highest during 2010. \u0000Keywords: MODIS; Snow Cover; TRMM; Precipitation; Kabul Basin; Remote Sensing \u0000 \u0000Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46650176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}