Geosfera Indonesia最新文献

{"title":"Conservation Zone Delimitation Based on Physical Properties in Langsa Watershed, Aceh Province","authors":"F. Urfan, Ayu Sekar Ningrum","doi":"10.19184/geosi.v7i2.31624","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.31624","url":null,"abstract":"Watershed zoning is essential for regional development, specifically the conservation aspect. Langsa is a city in Aceh province that has no watershed zoning map as a basis for development. Therefore, this study aims to delimit the conservation area in the Langsa River Basin, Aceh Province, based on three factors, which include rainfall, slope, and vegetation density. The data used are Digital Elevation Models (DEM), Langsa City rainfall, and satellite imagery from Landsat 8 OLI TIRS. Furthermore, the data was obtained online from the website of Badan Informasi Geospasial also known as Geospatial Information Agency, the United States Geological Survey, and Badan Pusat Statistik or Central Bureau of Statistics. The data was processed using the Quantum GIS 3.16 application with scoring and weighted overlay. In this study, the Langsa watershed was divided into three areas, namely cultivation, buffer, and conservation. The cultivation area dominates the Langsa watershed with a sloping morphology, moderate rainfall, and moderate vegetation density. Also, the conservation area has a high morphology with high rainfall and vegetation density, while that of the buffer has characteristics that falls between the cultivation and conservation areas. Each zone namely cultivation, buffer, and conservation has respective areas of 63.75 km2, 4.84 km2, and 3.55   km2 with different land use priorities. For example, the cultivation zones are prioritized for agricultural and urban areas. Buffer is separated for perennials, while conservation zones are for protected forests or national parks. \u0000Keywords : Langsa Watershed; Conservation Area; Buffer Area; Cultivation Area \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49669956","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":"Land Use Change Analysis to Springs Conditions in Gunungpati Sub-District, Semarang City","authors":"W. A. B. N. Sidiq, T. B. Sanjoto, N. K. T. Martuti","doi":"10.19184/geosi.v7i2.32085","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.32085","url":null,"abstract":"Semarang City has the fastest development in Central Java Province, where the activities are no longer centralized but have expanded to the upper part of the region. The ongoing development certainly impacts changes with the increasing area of built-up land that converts to another cover, such as vegetation. The phenomenon impacts the balance of the environment, one of which is the source of springs. Therefore, this study aims to map the spatial distribution of the springs and identify their physical quality. A quantitative approach was used with spatial analysis. Meanwhile, data collection techniques used document research, high-resolution image interpretation and field surveys. Field surveys were conducted to test the accuracy of land use maps and measurements of discharge, temperature, pH and brightness of the springs. The results showed that there is a change in land use from 2016 - 2021 with an increase in settlements of around 77.25 hectares and commercial service buildings by 178.79 hectares. For land use with the largest decrease in area, agricultural land covers and mixed garden/vegetation covers an area of ​​207.01 and 50.57 hectares. There were 114 springs at the research site, of which 5% of the springs had a relatively large discharge above 10 liters/second, while the other 47% had a small discharge. For pH conditions, there were 6 springs with a pH value of less than 6. Land use change from vegetation to flying land impacts the reduction of the water supply in the soil. The impact can be seen by the non-production of several springs, where 21 springs have not been discharged. In conclusion, there is a change in land use with an increase in built-up from 2016 - 2021 by 256.04 hectares. The increase in built-up is partly in conservation areas, hence damaging several springs.  \u0000Keywords : Land use change; Springs conditions; Gunungpati Sub-District \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46367078","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":"An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India","authors":"Annaidasan Krishnan, Jaganathan Ramasamy","doi":"10.19184/geosi.v7i2.28077","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.28077","url":null,"abstract":"Anthropogenic activities are leads to changing a natural land cover, and consequences are severe to human and environments etc. The present study has examined the Muthupet mangrove forest and its surrounding land-use changes from 1975 to 2015 using the geospatial technology. An assessment of  land use  and land cover was done at Muthupet mangrove forest which is an occupied the three coastal district of Tamilnadu i.e. Thanjavur, Thiruvarur, and  Nagappattinam.  The remote sensing (MSS, TM, and OLI) data was adopted to explore the  land use and land cover with help of visual image interpretation.  The study had  justified the results based upon the ground truth verification, and 203 sites were selected for explore the 10 land use categories. An Accuracy Assessment has done based on the KAPPA index for the year 2015 classified image and appraisal of  land use change detection from 1975 to 2015 for all the categories.  The study revealed that the land use and land cover  condition from the 1975 to 2015, for example 1975 water bodies covered an area of about 156.1 km2, and 2015 it has comprised 89.8 km2. An appraisal of land use and land cover clearly is evidence in 2005 entire land use and land cover changed, and reasons for that an influence of the Tsunami.  Consequently, Muthupet mangrove forest is one of the important to human and environments, and the present study has exposed that the changes of the mangrove forest, and its impact on to the coastal community. \u0000Keywords : Mangrove Fores; Remote sensing; LULC; Classification; Change detection \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48488525","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 Effect of Gender and Academic Levels Differences on Disaster Preparedness Knowledge of Pre-Service Teachers","authors":"Rima Meilita Sari, Ridhwan Ridhwan","doi":"10.19184/geosi.v7i2.30236","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.30236","url":null,"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. \u0000Keywords : Disaster preparedness knowledge; Pre-service teacher; Gender; Academic levels \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41939432","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 Carrying Capacity Analysis of Rice Plants Agriculture to Fulfill Food Needs in Pati Regency","authors":"Mitha Fitria Anggraini, E. Banowati","doi":"10.19184/geosi.v7i2.29372","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.29372","url":null,"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. \u0000Keywords : Carrying Capacity; Rice Plants; Food Needs \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47133793","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":"Vulnerability Dynamics and Urban Flood Hazardscape Pattern: A Geospatial Analysis in Gombe City, Nigeria","authors":"Faiza Mahdi Doho, Julius Afolabi Falola, S. Yunus","doi":"10.19184/geosi.v7i2.28233","DOIUrl":"https://doi.org/10.19184/geosi.v7i2.28233","url":null,"abstract":"In many Nigerian states, urban flooding has resulted into the death of numerous people and destruction of properties worth billions of Naira. This study examined the vulnerability dynamics and urban flood hazardscape pattern within Gombe city with a view to providing bases for policy formulation (where necessary), enforcement and decision making on flood risk reduction for enable sustainable urban development. ASTER DEM and Landsat images (2000, 2010 and 2019) was used to generate Digital Terrain Model (DTM) and impervious surface areas. Rainfall data for 2000-2018 was used to examine rainfall trend using regression analysis. The result revealed that flood hazardscape and vulnerability dynamics are largely influenced by physical and social factors. The results for vulnerability dynamics shows that as at 2000, about 1.4km2 lies on the relatively low vulnerable area,4.1km2falls within the moderate, and about 14.6km2 falls on critical area. By 2010, only about 1km2 lies on the relatively low area, 5.2km2 occupied the moderate and about 15km2was found within the critically vulnerable area. In 2019, the vulnerability dynamics depicts that about 33.4km2, impervious surface (builtup area) existed, out of which 2.8km2 lies on the low vulnerable area, 9.4km2 on the moderately vulnerable and 21.2km2 in critically vulnerable areas. It is concluded that flood hazardscape and vulnerability dynamics in Gombe city is influenced by both physical and anthropogenic factors.  It is recommended that planning departments should put into consideration urban flood hazardscape maps for future development so as to reduce the risk and control future exposure flood impact. \u0000Keywords : Impervious surfaces; Feature extraction; Hazardscape; Urban flood; Vulnearbility dynamics \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47347041","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":"Local Wisdom Values of the Pulo Traditional Village Community in Environmental Management","authors":"Yani Sri Astuti, R. Mainaki, A. E. Putri","doi":"10.19184/geosi.v7i1.26400","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.26400","url":null,"abstract":"Local wisdom is the lives values ​that enables people to live in harmony with other individual and their environment. An example of a place that still maintains this value is a traditional village. West Java has eight Traditional Villages, one of which is the Pulo, located in Garut Regency, where the environment is still very well preserved because the values ​​of local wisdom are applied in environmental management. This study aims to analyzes the values ​​of local wisdom related to environmental management in Pulo Traditional Village community. Data were collected through observation, interviews, literature studies and documentation, then were analyzed descriptively using a qualitative ethnomethodology approach. The results showed that the community retains the value of local wisdom in maintaining their relationship with the environment by 1) preserving the prohibitions in the form of pamali, 2) prohibiting livestock rearing that pollutes the environment, 3) using certain plants wisely, as well as limiting the number of buildings and their occupants,and 4) constructing buildings with eco-friendly architecture. Therefore, these values need to be maintained to serve as a model or example for society in general. \u0000Keywords : Value of local wisdom; environmental management \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46380909","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":"Rain Station Network Analysis in the Sampean Watershed: Comparison of Variations in Data Aggregation","authors":"E. Hidayah, G. Halik, Minarni Nur Trilita","doi":"10.19184/geosi.v7i1.29160","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.29160","url":null,"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. \u0000Keywords : Rain gauge network; correlation; Kagan; data aggregation \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44839353","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":"Outdoor Learning to Improve the Wetland Ecological Literacy of Geography Education Students","authors":"F. Setiawan, A. N. Saputra","doi":"10.19184/geosi.v7i1.27782","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.27782","url":null,"abstract":"Some geography education students score poorly in wetlands ecological literacy. This study aimed to determine the effect of outdoor learning on wetlands ecological literacy using a pre-experimental design and a sample of 60 geography students. The wetlands ecological literacy instruments were adapted from Anderson's cognitive dimensions comprising factual, conceptual, strategic, and metacognitive indicators. Data were analyzed using percentages and non-parametric Wilcoxon ranked statistical sign tests. The result showed that 2-tailed Asymp. Sig. was 0.000, smaller than 0.05. The conceptual and metacognitive indicators had the highest and lowest improvement of 21.11% and 13.33%, respectively. Furthermore, students’ wetlands ecological literacy improved through outdoor learning. Outdoor learning increases students’ attention to their environment through closer interactions, complementing the learning experience. Therefore, outdoor learning improves students’ wetland ecological literacy. \u0000Keywords : Outdoor learning; ecological literacy; teacher candidate; wetlands \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41847834","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":"Risk Perception and Preparedness in Flash Flood-Affected Communities: Evidence from Bahorok, Indonesia","authors":"F. I. Aksa, Egianinta Sinulingga","doi":"10.19184/geosi.v7i1.28645","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.28645","url":null,"abstract":"The Bahorok River basin has a high flash-flood hazard index. This is shown by loss of lives and damage of homes due to floods in recent years, however, no research examined community preparedness on the hazard of flash-flood. This research aimed to assess the effect of disaster experience and flood-risk perception on disaster preparedness of the people of Bukit Lawang Plantation Village. A cross-sectional survey design was used to determine the relationship between disaster experience, risk perception and preparedness as the independent and dependent variables, respectively. The results showed that disaster experience and risk perception positively and significantly affect the community preparedness. Disaster risk reduction programs in the region only focus on emergency response, rehabilitation, and reconstruction. Furthermore, increasing public awareness and preparedness has not been prioritized in reducing flood risk. This is an essential aspect for consideration because mountainous areas are often marginalized and lack access to disaster risk reduction programs. \u0000Keywords : Flood-risk perception; preparedness; flash flood \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia 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":" 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41252943","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}