cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fahmi Arif Kurnianto
Contact Email
fahmiarif.fkip@unej.ac.id
Phone
+6285745115207
Journal Mail Official
geografi.fkip@unej.ac.id
Editorial Address
Department of Geography Education , University of Jember, FKIP Building Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia.
Location
Kab. jember,
Jawa timur
INDONESIA
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 7 Documents
 1 
Search results for , issue "Vol. 4 No. 3 (2019): GEOSFERA INDONESIA" : 7 Documents clear
Utilization of GIS Techniques as Decision Support System for Location of Filling Stations in Minna, Niger State, Nigeria J Yisa; Oluwaseun Olubadewo-Joshua; Oboh Satur Okosun
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.9713

Abstract

The study demonstrated that spatial analysis with relevant socio-economic sources and physical parameter from different sources can be evaluated for the filling station sites planning. This has demonstrated the importance of Geographic Information System (GIS) application in predicting and determining of site criteria for filling stations facilities development, most especially in areas where there is land uses competition which requires consumer accessibility, sustainability, environmental safety, environmentally sensitive development solutions, etc. A stratified sampling technique was used to select the sample size and administration of the questionnaire. The data collected was analyzed using descriptive statistics such as frequency distribution, bar chart, pie chart and percentage and maps showing the sampled existing filling stations in the study area. The result shows the distribution of filling stations located across the study area. This study shows that GIS and multi-criteria analysis are essential tools to assist in correct siting to national planners and decision-makers in deciding the most appropriate filling stations location pattern to apply in Minna and its environs. Keywords: GIS, filling stations, spatial distribution, location, distance. References Aklilu, A., & Necha, T. (2018). Analysis of the spatial accessibility of addis Ababa’s light rail transit: The case of East–West corridor. Urban Rail Transit, 4(1), 35-48. doi:10.1007/s40864-018-0076-6 Dhiman, R., Kalbar, P., & Inamdar, A. B. (2019). Spatial planning of coastal urban areas in india: Current practice versus quantitative approach. Ocean and Coastal Management, 182 doi:10.1016/j.ocecoaman.2019.104929 Tah, D.S (2017). GIS-based locational analysis of Petrol filling stations in Kaduna metropolis: Science World Journal, Vol 12(2): 8-12. Emakoji, M.A., and Otah K.N (2018). Managing Filling Stations Spatial Database using an innovative GIS tool- a case study of Afipko City in Nigeria: Asian Journal of Geographical Research, 1(2):1-9, 2018 Jahangiri, M., Ghaderi, R., Haghani, A., & Nematollahi, O. (2016). Finding the best locations for establishment of solar-wind power stations in middle-east using GIS: A review. Renewable and Sustainable Energy Reviews, 66, 38-52. doi:10.1016/j.rser.2016.07.069 Jelokhani-Niaraki, M., Hajiloo, F., & Samany, N. N. (2019). A web-based public participation GIS for assessing the age-friendliness of cities: A case study in tehran, iran. Cities, 95 doi:10.1016/j.cities.2019.102471 Loidl, M., Witzmann-Müller, U., & Zagel, B. (2019). A spatial framework for planning station-based bike sharing systems. European Transport Research Review, 11(1) doi:10.1186/s12544-019-0347-7 Ma, Y., & Gopal, S. (2018). Geographicallyweighted regression models in estimating median home prices in towns of massachusetts based on an urban sustainability framework. Sustainability (Switzerland), 10(4) doi:10.3390/su10041026 Maanan, M., Maanan, M., Rueff, H., Adouk, N., Zourarah, B., & Rhinane, H. (2018). Assess the human and environmental vulnerability for coastal hazard by using a multi-criteria decision analysis. Human and Ecological Risk Assessment, 24(6), 1642-1658. doi:10.1080/10807039.2017.1421452 Khahro, S. H., Matori, A. N., Chandio, I. A., & Talpur, M. A. H. (2014). Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS. Procedia Engineering, 77, 28–36. doi:10.1016/j.proeng.2014.07.024 Mustapha, O.O (2016). Assessment of filling stations in Illorin, Kwara State, Nigeria using Geospatial technologies, IJSRCSEIT vol 1(2) 69-73, 2016 Naboureh, A., Feizizadeh, B., Naboureh, A., Bian, J., Blaschke, T., Ghorbanzadeh, O., & Moharrami, M. (2019). Traffic accident spatial simulation modeling for planning of road emergency services. ISPRS International Journal of Geo-Information, 8(9) doi:10.3390/ijgi8090371 Peprah (2018). Suitability analysis of siting oil and gas filling station using multi-criteria decision analysis and GIS approach- a case study of Tarkwa and environs- Ghana: Journal of Geomatics, vol 12(2): 158-166, 2018 Sacramento Gutierres, F., Torrente, A. O., & Torrent-Moreno, M. (2019). Responsive geographical information systems for spatio-temporal analysis of mobile networks in barcelona. Architecture, City and Environment, 14(40), 163-192. doi:10.5821/ace.14.40.5349 Vaz, E., Lee, K., Moonilal, V., & Pereira, K. (2018). Potential of geographic information systems for refugee crisis: Syrian refugee relocation in urban habitats. Habitat International, 72, 39-47. doi:10.1016/j.habitatint.2017.02.001 Copyright (c) 2019 Geosfera Indonesia Journal 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 Google Earth Utilization on Students' Spatial Thinking Ability Sri Rahayu; M Murjainah; M Idris
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.13350

Abstract

The ability to think spatially in geography learning is essential, so it requires technology-based learning resources in the form of google earth, which can facilitate students in imagining or visualizing images in mind. In this regard, this study aims to determine the effect of the use of google earth on the spatial thinking abilities of students in the class X Geography of SMA PGRI 2 Palembang. This study used an experimental research method (Posttest-Only Control Design), because this design is suitable to use if the pre-test is not possible or pre-test can influence the experimental. The sample data collection technique uses Purposive Sampling, which is based on considerations or criteria that must be met by the sample used in the study. The sample in this study is class X IPS 1 as the experimental class and X IPS 2 as the control class. Data collection techniques use documentation and tests. For data analysis techniques, normality test, homogeneity test, and hypothesis testing using the IBM SPSS Statistics 20 formula for Windows. Based on the results of the study, the average value of the experimental class's superior post-test was 82.92, and the results of the posttest control class were 66.39. It shows that there are differences in the spatial thinking ability of the experimental group students who were treated using Google Earth during the learning process. The significance of the results of the posttest t-test from the two experimental and control groups was 0.000, and then the null hypothesis Ho was declared rejected because based on the t-test criteria, the significance value was <0.05 or the Sig (2-tailed) value of 0,000 was obtained <0.05. So it can be concluded that there is a significant influence between the use of google earth on the spatial thinking ability of students in the class X Geography subject of SMA PGRI 2 Palembang. Keywords: Google Earth, Spatial Thinking Ability, Geography. References Aliman, Mutia, & Yustesia. (2018). Integrasi Kebangsaan Dalam Tes Berpikir Spasial. Jurnal Geografi FKIP UMP , 82-89. Arikunto, S. (2010). Prosedur Penelitian Suatu Pendekatan Praktik. Jakarta: Rineka Cipta. Ardyodyantoro, Gatty. (2014). Pemanfaatan Google Earth Dalam Pembelajaran Geografi Untuk Meningkatkan Hasil Belajar Siswa Kelas X SMA Widya Kutoarjo. Skripsi. Program Studi Pendidikan Geografi Fakultas Ilmu Sosial Universitas Negeri Yogyakarta. Cuviello, Matthew P. (2010). Evaluating Google Earth in the Classroom. New York : Center for Teaching Excellence Ervina, E., Asyik, B., & Miswar, D. (2012). Pengaruh Penggunaan Media Google Earth Dan Peta Terhadap Peningkatan Hasil Belajar Geografi. JPG (Jurnal Penelitian Geografi), 1(1). Hidayat, K. N., & Fiantika, F. R. (2017). Analisis Proses Berfikir Spasial Siswa Pada Materi Geometri. Prosiding Si Manis (Seminar Nasional Integrasi Matematika dan Nilai Islami) , 385-394. Isnaini, N. (2018). Komparasi Penggunaan Media Google Earth Dengan Peta Digital Pada Materi Persebaran Fauna Kelas XI IPS di SMA Negeri 1 Semarang. Jurnal Geografi: Media Informasi Pengembangan Dan Profesi Kegeografian, 12(1), 52-61. Jo, I., & Hong, J. E. (2018). Geography Education, Spatial Thinking, and Geospatial Technologies: Introduction to the Special Issue. International Journal of Geospatial and Environmental Research, 5(3), 1. Liu, R., Greene, R., Li, X., Wang, T., Lu, M., & Xu, Y. (2019). Comparing Geoinformation and Geography Students’ Spatial Thinking Skills with a Human-Geography Pedagogical Approach in a Chinese Context. Sustainability, 11(20), 5573. doi:10.3390/su11205573 Nofirman, N. (2019). Studi Kemampuan Spasial Geografi Siswa Kelas XII SMA Negeri 6 Kota Bengkulu. Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi, 3(2), 11-24. Oktavianto, D. A. (2017). Pengaruh Pembelajaran Berbasis Proyek Berbantuan Google Earth Terhadap Keterampilan Berpikir Spasial. Jurnal Teknodik, 21(1), 059. Patterson, T. C. (2007). Google Earth as a (Not Just) Geography Education Tool. Journal of Geography, 106(4), 145–152. doi:10.1080/00221340701678032 Setiawan, I. (2016). Peran Sistem Informasi Geografis (Sig) Dalam Meningkatkan Kemampuan Berpikir Spasial (Spatial Thinking). Jurnal Geografi Gea, 15(1). doi:10.17509/gea.v15i1.4187 Sugiyono. (2010). Metode Penelitian Pendidikan Pendekatan Kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta. Sudjana. (2005). Metode Statistika. Bandung: Tarsito. Yousman, Y. (2008). Google Earth. Yogyakarta: C.V Andi. Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Web System for Online and Onsite Usage of Geoinformation by Surveying Sector in Kosovo. Case Study: Ferizaj Municipality Bashkim Idrizi; Mirdon Kurteshi
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.13469

Abstract

The purpose of research to determine and contribute in more efficient services to geoinformation stakeholders, as well as to give positive impact on increasing income in geo business sector, voluntary based web system for online usage of geoinformation in Kosovo has been developed. The method used was puting in to one place many sourcec via WMS and WFS services, by creating thematic SDI, in order to have online system with dynamic data comming from official databases with update from last day on 5 pm. System is open for usage by all interested parts, however official registration is required. It contains geoinformation from many databases such as cadastral, orthophoto, municipal, and basemaps from open layers. The results show that the system is extendable and it is permanently including new datasets based on the user requirements. All available data is linked via web services, which gives an opportunity to users to use the updated version of datasets as they are published by responsible institution via www (world wide web). Keywords: web map, geoportal, geoinformation, web services, Kosovo References Alameh. N, (2010). Service chaining of interoperable Geographic Information Web Services. Global Science and Technology. Greenbelt, USA. Brimicombe, A.J. (2002). GIS-where are the frontiers now. GIS 2002. Bahrain. Bryukhanova, E. A., Krupochkin, Y. P., & Rygalova, M. V. (2018). Geoinformation technologies in the reconstruction of the social space of siberian cities at the turn of the 19–20th centuries (case study of the city of tobolsk). Journal of Siberian Federal University - Humanities and Social Sciences, 11(8), 1229-1242. doi:10.17516/1997-1370-0303 Chaudhuri, S. (2015). Application of Web Based Geographical Information Systems in e-business. Maldives. Davis, C.A. and Alves L.L. (2007). Geospatial web services, Vicosa, Brazil. ESRI. (2003). Spatial Data Standards and GIS interoperability. White paper. ESRI. CA. USA. Ferdousi, . and Al-Faisal, A. (2018). Urban and regional planning. Rajshahi University of Engineering and Technology. Rajshahi. Bangladesh. Gitis, V., Derendyaev, A., & Weinstock, A. (2016). Web-based GIS technologies for monitoring and analysis of spatio-temporal processes. International Journal of Web Information Systems, 12(1), 102-124. doi:10.1108/IJWIS-10-2015-0032 Glasze, G., & Perkins, C. (2015). Social and political dimensions of the OpenStreetMap project: Towards a critical geographical research agenda doi:10.1007/978-3-319-14280-7_8 Henzen, C. (2018). Building a framework of usability patterns for web applications in spatial data infrastructures. ISPRS International Journal of Geo-Information, 7(11) doi:10.3390/ijgi7110446 Idrizi, B. (2009). Developing of National Spatial Data Infrastructure of Macedonia according to global standardization (GSDI and INSPIRE) and local status. Conference of Nikodinovski. Skopje. Macedonia. Idrizi, B. (2018). General Conditions of Spatial Data Infrastructure. International Journal on Natural and Engineering Sciences. Turkey. Idrizi, B. Sulejmani, V. Zimeri, Z. (2018). Multi-scale map for three levels of spatial planning data sets for the municipality of Vitia in Kosova. 7th ICC&GIS conference. Sozopol. Bulgaria. Mwange, C., Mulaku, G. C., & Siriba, D. N. (2018). Reviewing the status of national spatial data infrastructures in africa. Survey Review, 50(360), 191-200. doi:10.1080/00396265.2016.1259720 Nikolov, B. P., Zharkikh, J. I., Soloviev, A. A., Krasnoperov, R. I., & Agayan, S. M. (2015). Integration of data mining methods for earth science data analysis in GIS environment. Russian Journal of Earth Sciences, 15(4) doi:10.2205/2015ES000559 Sahin, K. and Gumusay, M.U. (2008). Service oriented architecture based web services for geographic information systems. The international archives of the remote sensing, photogrammetry and spatial information sciences. Vol XXXVII. Beijing. China. Sayar, A. (2008). GIS service oriented architecture. Community grids laboratory. IN, USA. Shi, S. (2015). Design and development of an online geoinformation service delivery of geospatial models in the united kingdom. Environmental Earth Sciences, 74(10), 7069-7080. doi:10.1007/s12665-015-4243-8 Siles, G., Charland, A., Voirin, Y., & Bénié, G. B. (2019). Integration of landscape and structure indicators into a web-based geoinformation system for assessing wetlands status. Ecological Informatics, 52, 166-176. doi:10.1016/j.ecoinf.2019.05.011 Ummadi, P. (2008). Standards and Interoperability in GIS, Michigan State University. MI, USA. Vorobev, A. V., & Shakirova, G. R. (2016). Web-based geoinformation system for exploring geomagnetic field, its variations and anomalies doi:10.1007/978-3-319-29589-3_2 Walter, V., & Sörgel, U. (2018). Implementation, results, and problems of paid crowd-based geospatial data collection. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 86(3-4), 187-197. doi:10.1007/s41064-018-0058-z Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Mapping of Subsurface Geological Structure and Land Cover Using Microgravity Techniques for Geography and Geophysic Surveys: A Case Study of Maluri Park, Malaysia La Ode Nursalam; A Arisona; R Ramli; La Harudu; Sitti Kasmiati; Eko Harianto; Fahrudi Ahwan Ikhsan; Andri Estining Sejati
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.13738

Abstract

A microgravity investigation on bedrock topography was conducted at Maluri park reference level in Kuala Lumpur, Malaysia. The study aim to mapping the near-surface structure and soil and land cover distribution for geography and geophysics surveys. Two types of cross-section modeling of the residual anomaly generated the MaluriBouguer Anomaly model for site-1 and site-2 at Maluri Park. The 2D microgravity models produced the contour map, displaying the characterization due to density contrast in rock types while mapping the subsurface geological structure at different depths. Moreover, a synthetic model was initiated with the assumption of lateral distance on the left and right sides taken at 50 m and a depth of 60 m. The results of modeling confirmed that the soil and rock type composition on both models site tests are topsoil (1.1 to 1.92 g/cm3), soil (1.8 g/cm3), clay (1.63 g/cm3), gravel (1.7 g/cm3), sand (2.0 g/cm3), shale (2.4 g/cm3), sandstone (2.76 g/cm3), and limestone (2.9 g/cm3). The 2D gravity modeling using two model site tests obtained a correspondence with the observed microgravity data. Keywords: Bouguer anomaly, limestone, microgravity, soil structure, topography. References Amaluddin, L. O., Rahmat, R., Surdin, S., Ramadhan, M. I., Hidayat, D. N., Purwana, I. G., & Fayanto, S. (2019). The Effectiveness of Outdoor Learning in Improving Spatial Intelligence. Journal for the Education of Gifted Young Scientists, 7(3), 667–680. https://doi.org/10.17478/jegys.613987 Arisona,A., Mohd N., Amin E.K., &Abdullahi, A.(2018).Assessment of microgravity anomalies of soil structure for geotechnical 2d models.Journal of Geoscience, Engineering, Environment, and Technology (JGEET)3(3), 151-154. Georgsson, L.S. (2009). Geophysical Methotds Used in Geothermal Exploration. Presented at Exploration for Geothermal Resources, 1-22 November 2009, 1-16. Grandjean, G. (2009). From Geophysical Parameters to Soil Characteristics.Florida: Report N°BRGM/FP7-DIGISOIL Project Deliverable 2.1, Final ReportDepartment of Civil and Coastal EngineeringUniversity of Florida. Hiltunen, D.R., Hudyma,N.,Tran,K.T.,&Sarno,A.I. (2012).Geophysical Testing of Rock and Its Relationthipsto Physical Properties.Florida:Final ReportDepartment ofCivil and Coastal EngineeringUniversity ofFlorida. Kirsch,R. (2006).GroundwaterGeophysics, ATool for Hydrogeology.New York: Springer. Kamal,H.,Taha,M.,&Al-Sanad,S. (2010). Geoenvironmental Engineering and Geotechnics, GeoShanghai 2010 International Conference. (accessed 02.03.17) Lilie, R.J. (1999).Whole Earth Geophysics: An Introductory Textbook for Geologists and Geophysicists. New Jersey:Prentice-HallInc. Pringle, J.K., Styles, P., Howell, C.P.,Branston, M.W., Furner, R., &Toon,S.M. (2012). Long-term time-lapse microgravity and geotechnical monitoring of relict salt mines, marston, cheshire, uk. Geophysic77(6), 165-171. Samsudin, H.T.(2003).A microgravity survey over deep limestone bedrock.Bulletin of Geological Society of Malaysia4(6), 201-208. Tan, S.M. (2005). Karsticfeatures of kualalumpur limestone. Bulletin of the Institution of EnginnerMalaysia 4(7), 6-11. Tajuddin, A.&Lat, C.N. (2004).Detecting subsurfacevoids using the microgravity method, a case study from kualalipis, pahang.Bulletin of Geological Society of Malaysia 3(48), 31-35. Tuckwell, G., Grossey, T., Owen, S., & Stearns, P. (2008). The use of microgravity to detect small distributed voids and low-density ground. Quarterly Journal of Engineering Geology and Hydrogeology, 41(3), 371–380. https://doi.org/10.1144/1470-9236/07-224 Wanjohi, A.W. (2014). Geophysical Field Mapping. Presented at Exploration for Geothermal Resources, 2-23 November 2014, 1-9. Yusoff , Z.M., Raju,G. &Nahazanan, H.(2016).Static and dynamic behaviour of kualalumpur limestone. Malaysian Journal of Civil Engineering Special Issue Vol.28 (1), p.:18-25. Zabidi, H. & De Freitas, M.H. (2011).Re-evaluation of rock core logging for the prediction of preferred orientations of karst in the kualalumpur limestone formation. Engineering Geology, 117(3-4), p.: 159–169. Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
RETRACTED : Urban Expansion Analysis and Land Use Changes in Rangpur City Corporation Area, Bangladesh, using Remote Sensing (RS) and Geographic Information System (GIS) Techniques Md Naimur Rahman
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.13921

Abstract

This article has been retracted at the request of managing editor. REASON: One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not prepared and/or appeared in any other publication elsewhere. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process. Similar article has appeared in http://www.ijasrw.com/pdf/Oct19/ij43.pdf This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Local Wisdom in Responding to Disaster of Merapi Eruption: Case Study of Wonolelo Village Edi Widodo; H Hastuti
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.14066

Abstract

The people who live in the Merapi area have been going on for years. Merapi is the most active volcano in Central Java that can threaten the community, but the community still exists today, of course, having local wisdom in responding to the eruption of Merapi. This study aims to determine the local wisdom of Wonolelo Village before, during, and after the Merapi eruption. In addition, to find out the historical relationship of the Merapi eruption to local wisdom and the challenges faced by Wonolelo Village in maintaining the sustainability of local wisdom. This research was used as a descriptive qualitative method. The method of collecting data is done through observation, in-depth interviews, and documentation. Data sources of this study are community leaders, spiritual leaders, and people who are more than 70 years old. Analysis of the data used is sourced triangulation based on the Miles & Huberman model. The results showed that local wisdom in responding to the Merapi eruption in Wonolelo Village still exists today. Local wisdom is divided into three segments, namely before, during, and after the eruption of Merapi. Local wisdom before the Merapi eruption is a notification that Merapi eruption activity will occur. Local wisdom in Wonolelo Village has challenges in the form of modernization and not running the local wisdom relay to young people. Keywords: Disaster, Local wisdom, Merapi volcano. References Andreastuti, S.D., Newhall, C., Dwiyanto, J. (2006). Menelusuri Kebenaran Letusan Gunung Merapi 1006. Jurnal Geologi Indonesia, Vol. 1, No. 4, Hal. 201-207. Andreastuti, S., Paripurno, E., Gunawan, H., Budianto, A., Syahbana, D., & Pallister, J. (2019). Character of community response to volcanic crises at sinabung and kelud volcanoes. Journal of Volcanology and Geothermal Research, 382, 298-310. doi:10.1016/j.jvolgeores.2017.01.022 Atmojo, S. E., Rusilowati, A., Dwiningrum, S. I. A., & Skotnicka, M. (2018). The reconstruction of disaster knowledge through thematic learning of science, environment, technology, and society integrated with local wisdom. Jurnal Pendidikan IPA Indonesia, 7(2), 204-213. doi:10.15294/jpii.v7i2.14273 Bencana, B. N. P. (2010). Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 17 Tahun 2010 Tentang Pedoman Umum Penyelenggaraan Rehabilitasi dan Rekonstruksi Pasca Bencana. Jakarta: BNPB. Bencana, B. P. B. (2010). Badan Nasional Penanggulangan Daerah. Magelang: BPBD. Geologi, BPPTK (2018). Badan Penyelidikan dan Pengembangan Teknologi Kebencanaan Geologi. Jakarta: BPPTKG Geologi, BPPTK (2019). Badan Penyelidikan dan Pengembangan Teknologi Kebencanaan Geologi. Jakarta: BPPTKG Bardintzeff, J.M. (1984). Merapi volcano (java, Indonesia) and merapi type nuee ardente. Bull volcanol, Vol. 47, No. 3, Hal. 432-446. Boyolali, B. P. S. K. (2018). Kabupaten Boyolali dalam Angka. Boyolali : Badan Pusat Statistik Cahyadi, A. (2013). Pengelolaan lingkungan zamrud khatulistiwa. Yogyakarta: Pintal. Cho, S.E., Won, S., & Kim, S. (2016). Living in harmony with disaster: exploring volcanic hazard vulnerability in Indonesia. Sustainability, Vol. 8, Hlm. 1-13. Daly, P. (2015). Embedded wisdom or rooted problems? aid workers' perspectives on local social and political infrastructure in post-tsunami aceh. Disasters, 39(2), 232-257. doi:10.1111/disa.12105 Dibyosaputro, S., Hadmoko, D.S., Cahyadi, A., & Nugraha, H. (2016). Gunung merapi: kebencanaan dan pengurangan risikonya. Yogyakarta: Badan Penerbit Fakultas Geografi (BPFG) Universitas Gadjah Mada. Fatkhan, M. (2006). Kearifan lingkungan masyarakat lereng gunung merapi. Aplikasia, Jurnal Aplikasi Ilmu-ilmu Agama, Vol. 7, No. 2, Desember, Hal. 107-121. Gertisser, R., Charbonnier, S.J., Keller, J., & Quidelleur, X. (2012). The geological evolution of Merapi vulcano, Central Java, Indonesia. Bull Volcanol, Vol. 74. Hal. 1213-1233. Haba, J. (2008). Bencana alam dalam perspektif lokal dan perspektif kristiani. LIPI, Vol. 34, No. 1, Hal. 25-49. Hardoyo, S.R., Marfai, M.A., Ni’mah, N.M., Mukti, R.Y., Zahro, Q., & Halim, A. (2011). Strategi adaptasi masyarakat terhadap bencana banjir rob di pekalongan. Yogyakarta: Magister Perencanaan Pengelolaan Pesisir dan Daerah Aliran Sungai, Cahaya Press. Ikeda, S., & Nagasaka, T. (2011). An emergent framework of disaster risk governance towards innovating coping capability for reducing disaster risks in local communities. International Journal of Disaster Risk Science, 2(2) doi:10.1007/s13753-011-0006-7 Inaotombi, S., & Mahanta, P. C. (2019). Pathways of socio-ecological resilience to climate change for fisheries through indigenous knowledge. Human and Ecological Risk Assessment, 25(8), 2032-2044. doi:10.1080/10807039.2018.1482197 Klaten, B. P. S. K. (2018). Kabupaten Klaten dalam Angka. Klaten : Badan Pusat Statistik Kusumasari, B., & Alam, Q. (2012). Local wisdom-based disaster recovery model in indonesia. Disaster Prevention and Management: An International Journal, 21(3), 351-369. doi:10.1108/09653561211234525 Lestari, P., Kusumayudha, S. B., Paripurno, E. T., & Jayadianti, H. (2016). Environmental communication model for disaster mitigation of mount sinabung eruption karo regency of north sumatra. Information (Japan), 19(9B), 4265-4270. Magelang, B. P. S. K. (2018). Kabupaten Magelang dalam Angka. Boyolali : Badan Pusat Statistik Marfai, M.A. (2011). Jakarta flood hazard and community participation on disaster preparedness. Prosiding dalam seminar Community preparedness and disaster management, center for religious and cross-cultural studies, UGMI, no. 2/2011 (december), Hlm, 209-221. Marfai, M.A., & Hizbaron, D.R. (2011). Community’s adaptive capacity due to coastal flooding in semarang coastal city, Indonesia. International Journal of Seria Geografie, Annals of the Univeristy of Oradea. E-ISSN 2065-1619. Year XX. Mulyaningsih, S., Sampurno, Zaim, Y., Puradimaja, D.J., Bronto, S., & Siregar, D.A. (2006). Perkembangan geologi pada kuwarter awal sampai masa sejarah di dataran yogyakarta. Jurnal Geologi Indonesia, Vol. 1, No. 2, Juni, Hal. 103-113. Permana, S. A., Setyowati, D. L., Slamet, A., & Juhadi. (2017). Society management in manage economic after merapi disaster. International Journal of Applied Business and Economic Research, 15(7), 1-10 Preece, K., Gertisser, R., Barclay, J., Berlo, K., Herd, R.A., & Facility, E.I.M. (2014). Pre and syneruptive degassing and crystallisation processes of the 2010 and 2006 eruptions of merapi volcano, indonesia. Contrib Mineral Petrol, Vol. 168: No. 1061, Hal. 1-25, DOI 10.1007/s00410-014-1061-z. Ridwan, N.A. (2007). Landasan keilmuan kearifan lokal. Jurnal study islam dan budaya, Vol. 5, No. 1. Hlm. 27-38. Rokib, M. (2013). Teologi Bencana: Studi Santri Tanggap Bencana. Yogyakarta: Buku Pintal. Sawangan, B. P. S. K. (2018). Kecamatan Sawangan dalam Angka. Sawangan : Badan Pusat Statistik Setiawan, B., Innatesari, D. K., Sabtiawan, W. B., & Sudarmin, S. (2017). The development of local wisdom-based natural science module to improve science literation of students. Jurnal Pendidikan IPA Indonesia, 6(1), 49-54. doi:10.15294/jpii.v6i1.9595 Sibarani, R. (2013). Pembentukan karakter berbasis kearifan lokal. Online, http://www.museum.pusaka.nias.org/2013/02/pembentukan-karakter-berbasis-kearifan.html. Diunduh tanggal 10 october 2019. Sleman, B. P. S. K. (2018). Kabupaten Sleman dalam Angka. Sleman : Badan Pusat Statistik Syahputra, H. (2019). Indigenous knowledge representation in mitigation process: A study of communities’ understandings of natural disasters in aceh province, indonesia. Collection and Curation, 38(4), 94-102. doi:10.1108/CC-11-2017-0046 Voight, B., Constantine, E.K., Siswowidjoyo, S., & Torley, R. (2000). Historical eruptions of merapi vulcano, Central Java, Indonesia, 1768-1998. Journal of Volcanology and Geothermal Research, Vol. 100, Hal. 69–138. Wilson, T.; Kaye, G., Stewart, C. and Cole, J. (2007). Impacts of the 2006 eruption of merapi volcano, Indonesia, on agriculture and infrastructure. GNS Science Report, 2007/07 Hal. 1-69. Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Evaluation of Groundwater Resources in Aiyar Basin: A GIS Approach for Agricultural Planning and Development K Balasubramani; M Gomathi; K Kumaraswamy
Geosfera Indonesia Vol. 4 No. 3 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i3.14954

Abstract

Groundwater is an integral part of agriculture and rural development. In the present study, an attempt has been made to analyse the spatio-temporal variations of groundwater level in Aiyar basin using spatial statistics and GIS so as to associate the variations with cropping pattern; to suggest agricultural planning and development practices. The groundwater level was measured in the basin through 40 dug wells in the months of July (pre-monsoon) and January (post-monsoon) besides water level data collected from 50 permanent monitoring wells for a period of thirty-six years (1980-2015) from the State Groundwater Division for spatial and statistical analyses. In order to understand the fluctuations in the groundwater level of the basin, seasonal groundwater levels were computed for pre and post-monsoon seasons. To understand the regional variations in water level fluctuations, hot spot analysis is carried out using Getis-Ord Gi* statistics in GIS. Based on z-score, the basin is divided into five clusters. The long-term fluctuation of groundwater level in each cluster was examined independently and the trends were determined. Based on the trend of groundwater level and cropping pattern of the clusters, suggestions are drawn for each cluster for agricultural planning and development. By comparing the clusters, it is found that the foot of Kollimalai and Pachamalai hills (cluster-4 and 5) experiences a severe drop in groundwater level. During the last 36 years, the water table of these clusters is decreased from 4 m to 10 m BGL and the rate of decline is very severe after the drought years of 2002-2003. The main reason for the declining water level in this region is the cultivation of wet crops especially paddy and sugarcane in extensive areas, although irrigation facilities are limited and the climate is conducive only for rainfed agriculture. Hence, it is necessitated to reduce the acreage of wet crops and compensate by suitable dry crops in these clusters. Keywords: Groundwater, Agriculture, GIS, Hot Spot Analysis, River basin, SDG

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2025): GEOSFERA INDONESIA Vol. 10 No. 1 (2025): GEOSFERA INDONESIA Vol. 9 No. 3 (2024): GEOSFERA INDONESIA Vol. 9 No. 2 (2024): GEOSFERA INDONESIA Vol. 9 No. 1 (2024): GEOSFERA INDONESIA Vol. 8 No. 3 (2023): GEOSFERA INDONESIA Vol. 8 No. 2 (2023): GEOSFERA INDONESIA Vol. 8 No. 1 (2023): GEOSFERA INDONESIA Vol. 7 No. 3 (2022): GEOSFERA INDONESIA Vol. 7 No. 2 (2022): GEOSFERA INDONESIA Vol. 7 No. 1 (2022): GEOSFERA INDONESIA Vol. 6 No. 3 (2021): GEOSFERA INDONESIA Vol. 6 No. 2 (2021): GEOSFERA INDONESIA Vol. 6 No. 1 (2021): GEOSFERA INDONESIA Vol. 5 No. 3 (2020): GEOSFERA INDONESIA Vol. 5 No. 2 (2020): GEOSFERA INDONESIA Vol. 5 No. 1 (2020): GEOSFERA INDONESIA Vol. 4 No. 3 (2019): GEOSFERA INDONESIA Vol. 4 No. 2 (2019): GEOSFERA INDONESIA Vol. 4 No. 1 (2019): GEOSFERA INDONESIA Vol. 3 No. 3 (2018): GEOSFERA INDONESIA Vol. 3 No. 2 (2018): GEOSFERA INDONESIA Vol. 2 No. 1 (2018): GEOSFERA INDONESIA Vol. 1 No. 1 (2017): GEOSFERA INDONESIA More Issue