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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 183 Documents
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GEOGRAPHY SKILLS DOMAIN TAXONOMY Fahrudi Ahwan Ikhsan; Fahmi Arif Kurnianto; Bejo Apriyanto; Elan Artono Nurdin
Geosfera Indonesia Vol. 2 No. 1 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v2i1.7525

Abstract

This study aims to explain the geography student skills domain. The focus of this research is the domain of geography skills possessed by students. The research method with the a qualitative approach. Subjects were students of Jember University geography education consisting of 2 men and 2 women with indicators of academic ability value of the national geography exam results. Data collection techniques by observation and interview. Data were analyzed using the processing unit, categorization and interpretation of data. The findings show that the skills of geography for prospective teachers of geography and geographers to be possessed composed as follows: 1st level thinking skills geography (space, phenomena, location and place, region, environment, coordinate, and humans), level 2 skills of analysis geography (scale, distribution, patterns of interaction, interrelation, connectivity, corologi, descriptions, and agglomeration), and level 3 skills of geographic applications (mapping/cartography, remote sensing, geographic information systems, surveying and mapping of the area, and Global Position systems (GPS). This level difference is used to distinguish the use of knowledge and application of the science of geography. Keywords: Students of geography education, geography Skills Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
THE INFLUENCE OF TEAM ASSISTED INDIVIDUALIZATION (TAI) ON GEOGRAPHY LEARNING MODEL TEAM OF JUNIOR HIGH SCHOOL Bejo Apriyanto; Fahrudi Ahwan Ikhsan; Elan Artono Nurdin; Fahmi Arif Kurnianto
Geosfera Indonesia Vol. 2 No. 1 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v2i1.7529

Abstract

Selection of the right learning model will increase the chances of achieving student learning success. The choice of learning model should pay attention to students' ability which is generally not the same among students one to another. The main factors are the various intelligence and student backgrounds. In addition, the absorptive capacity of the subject matter between students with one student is not the same so that affect learning outcomes achieved. Therefore, teachers need alternative learning model to overcome the diversity of student characteristics, one of them is with individual learning. However, the large number of students in the classroom and the various shortcomings in individual learning such as the effectiveness of learning, time, effort, and curriculum demands, as well as other obstacles, then individual learning is very unlikely to be implemented. An alternative that teachers can do is through the use of learning models that lead to programmed individual learning. The model of learning in accordance with the problem is Model Team Assisted Individualization (TAI). The TAI model is designed as a learning model that combines individual learning with cooperative learning. With the TAI model, the weaknesses that exist in individual learning and on cooperative learning can be minimized with the advantages that exist in both. This study aims to determine the effect of the use of TAI Model on the results of IPS geography learning. This research includes quasi experiment type, using Pretest-posttest Control Group Design design. The subjects consisted of one experimental class and one control class, grade VII student SMPN 4 Lumajang. The research instrument is a test consisting of prates and pascates. The data analysis technique uses t-test with SPSS 16.00 for Windows. The result of data analysis shows that the learning result of IPS geography of students using TAI model is better than students who do not use TAI Model. Thus it can be argued that the use of TAI model influences the learning outcomes Geography IPS Geography students proposed for teachers in the field of study Geography is to make the Model TAI as an alternative model of learning to improve student learning outcomes. Suggestions for further research are piloting the TAI Model on different materials and levels of higher classes or schools, as well as combining with more varied learning media so as to show a great influence on student learning outcomes and gain greater benefits from the TAI Model. Key Words: Model Team Assisted Individualization (TAI), Geography Learning Result Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
INVESTIGATED THE IMPLEMENTATION OF MAP LITERACY LEARNING MODEL Nuansa Bayu Segara; Enok Maryani; Nana Supriatna; Mamat Ruhimat
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7808

Abstract

This article presents the results of the first implementation of map literacy learning model in middle school classes - this is the preliminary test. The implementation of this learning model will gain optimal results when it is conducted by following all the component of the model such as the syntax, theoretical framework, social system, teachers' roles, and support system. After the model implementation has been completed, the results showed that there was significantly different in students' spatial thinking skills before and after the treatment. However, the implementation also revealed that the model has some technical issues and thus to be improved. In a social system revision, the teacher has to be flexibly provide scaffolding every time he/she sees that the students need it. Teacher's book is significantly important to help a teacher lead the learning process. After improvement of the model has been completed, then it is ready to be implemented in the main field testing stage. Keywords: map literacy, social studies learning, spatial thinking References Abbasnasab, S., Rashid, M., & Saad, M. (2012). Knowledge with Professional Practice A Sociocultural Perspective on Assessment for Learning : The Case of a Malaysian Primary School ESL Context, 66, 343–353. http://doi.org/10.1016/j.sbspro.2012.11.277 Adeyemi, S. B., & Cishe, E. N. (2015). Effects of Cooperative and Individualistic Learning Strategies on Students’ Map Reading and Interpretation. International Journal of Arts & Sciences, 8(7), 383–395. Bednarz, S. W., Acheson, G., & Bednarz, R. S. (2006). Maps and Map Learning in Social Studies. Social Education, 70(7), 398–404. http://doi.org/10.4324/9780203841273 Brophy, J., & Alleman, J. (2009). Meaningful social studies for elementary students. Teachers and Teaching, 15(3), 357–376. http://doi.org/10.1080/13540600903056700 Cohen, L., Manion, L., Morrison, K., & Wyse, D. (2010). A Guide To Teaching Practice (5th ed.). London and New York: Rotledge. Churcher, K. M. A., Downs, E., & Tewksbury, D. (2014). “ Friending ” Vygotsky : A Social Constructivist P edagogy of Knowledge Building Through Classroom Social Media Use, 14(1), 33–50. Durmuş, Y. T. (2016). Effective Learning Environment Characteristics as a requirement of Constructivist Curricula: Teachers’ Needs and School Principals’ Views. International Journal of Instruction, 9(2), 183–198. http://doi.org/10.12973/iji.2016.9213a Fani, T., & Ghaemi, F. (2011). Implications of Vygotsky ’ s Zone of Proximal Development ( ZPD ) in Teacher Education : ZPTD and Self-scaffolding. Procedia - Social and Behavioral Sciences, 29(Iceepsy), 1549–1554. http://doi.org/10.1016/j.sbspro.2011.11.396 Gauvain, M. (1993). The Development of Spatial Thinking in Everyday Activity. Developmental Review, 13, 92–121. Hribar, G. C. (2015). Using Map-Based Investigations with Elementary Students. In ESRI Education GIS Conference (pp. 1–26). Huynh, N. T., & Sharpe, B. (2013). An Assessment Instrument to Measure Geospatial Thinking Expertise An Assessment Instrument to Measure Geospatial Thinking Expertise. Journal of Geography, 112(October 2014), 3–41. http://doi.org/10.1080/00221341.2012.682227 Ishikawa, T. (2012). Geospatial Thinking and Spatial Ability: An Empirical Examination of Knowledge and Reasoning in Geographical Science. The Professional Geographer, (July 2015), 121018062625002. http://doi.org/10.1080/00330124.2012.724350 Jessie A. (1951). Maps and Slow-Learners. Journal of Geography, 50:4, 145-149, DOI: 10.1080/00221345108982661 Jo, I., Bednarz, S., & Metoyer, S. (2010). Selecting and Designing Questions to Facilitate Spatial Thinking. The Geography Teacher, 7(2), 49–55. http://doi.org/10.1080/19338341.2010.510779 Joyce, B.R., Weil, M., & Calhoun, E. (2014). Models of Teaching (8th Ed). New Jersey: Pearson Education. Key, L.V., Bradley, J.A., & Bradley, K.A. (2010).Stimulating Instruction in Social Studies. The Social Studies, 101:3, 117-120, DOI: 10.1080/00377990903283932 Leinhardt, G., Stainton, C., & Bausmith, J. M. (1998). Constructing Maps Collaboratively. Journal of Geography, 97(1), 19–30. http://doi.org/10.1080/00221349808978821 Logan, J. R. (2012). Making a Place for Space: Spatial Thinking in Social Science. Annual Review of Sociology, 38(1), 507–524. http://doi.org/10.1146/annurev-soc-071811-145531 Logan, J. R., Zhang, W., & Xu, H. (2010). Applying spatial thinking in social science research. GeoJournal, 75(1), 15–27. http://doi.org/10.1007/s10708-010-9343-0 National Reseach Council. (2006). Learning to Think spatially. Washington, D.C.: The National Academic Press. Retrieved from www.nap.edu NCSS. (2016). A Vision of Powerful Teaching and Learning in the Social Studies, 80(3), 180–182. Saekhow, J. (2015). Steps of Cooperative Learning on Social Networking by Integrating Instructional Design based on Constructivist Approach. Procedia - Social and Behavioral Sciences, 197(February), 1740–1744. http://doi.org/10.1016/j.sbspro.2015.07.230 Uttal, D. H. (2000). Maps and spatial thinking: a two-way street. Developmental Science, 3(3), 283–286. http://doi.org/10.1111/1467-7687.00121 Verma, K. (2014). Geospatial Thinking of Undergraduate Students in Public Universities in The United States. Texas State University. Wiegand, P. (2006). Learning and Teaching with Maps. London and New York: Routledge Taylor & Francis Group. Retrieved from http://cataleg.udg.edu/record=b1373859~S10*cat Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
ANALYSIS OF TOURIST TRAVEL PATTERNS TOWARD HEALTH CARE FACILITIES: (Case Study of Prambanan Sub-District, Klaten District) Nida Hanifah; Marta Nilasari Catur Pujianingsih; Dea Handika Pratiwi; Linta Alfi Fahmi; Fathurohim Anhari; Thoriq Albayani
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7845

Abstract

One of the sectors that are closely related and reasonably determining for the growth and development of the tourism sector is the health sector. The aim of this research was to a) know the affordability of health care facilities from tourism Prambanan and Plaosan Temple, b) to know the travel patterns of tourists headed for healthcare facilities. This research uses qualitative descriptive method by using data collection observation techniques, documentation, and data analysis using network analysis. The network analysis method that used is the closest facility. The results of this research show that a) the affordability of the nearest health service facility from the Plaosan Temple object is Kebondalem Lor Puskesmas which is traveled by 1.7 km distance and takes about 4 minutes from the location of Plaosan Temple, while the closest health service facility from the Prambanan Temple is Prambanan Puskesmas which is taken with distance of 5.3 km and travel time 14 minutes from location of Prambanan Temple. to be known travelers can use private vehicles at tourism Plaosan Temple, because the attractions have a radius of 1.7 km. While on the tourist object of tourism Prambanan Temple can not use private vehicle because the mileage exceeds 3 km, and b) The travel pattern of tourists to health care facilities is categorized good, because the tourists can access health services with the nearest route and adequate facilities. Keywords: Travel Patterns, Health Facilities, Network Analysis ReferencesAnwar, A. (2010). Introduction to Health Administration.Jakarta: Binarupa Aksara.Groenou, M. V., & Tilburg, T. V. (1975). Network Anaysis. Vrije Universitet, Amsterdam, The Netherland.Kuntarto, A., & Purwanto, T. H. (2012). Use of Geographic Information Network Analysis System for Route Planning Tourists in Sleman. Journal of The Earth Indonesia of Vol 1 Number 2, 141.Laksono, A. D., & dkk. (2016). The accessibility of health service in Indonesia. Yogyakarta: KANISIUS PT.Law number. 36 Year 2009 About HealthLaw number. 47 Year 2016 About Health Facilities.Moeleong, L. (2002). Qualitative Research Methods. Bandung: Teens Rosdakarya.Muta'ali, L. (2013). Regional and City Spatial Planning (Tinjauan Normatif-Teknis). Yogyakarta: Badan Penerbit Fakultas Geografi (BPFG) Gadjah Mada University.Narsid, S. (1988). Development Geography. Jakarta: Space.O.Z, T. (1997). Transport Planning and Modeling. Bandung: Institut Teknologi Bandung. Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
THE SPATIAL STUDY OF HEALTH CONDITION OF SOCIETY TOWARDS INCOME GRADE IN PRAMBANAN, KLATEN REGENCY Ayu Fatonah; Fitria Febri Setiyani; Hafiz Winardany; S Samidu; Bagas Anindra Murdiansyah; Fitri Nur Aini
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7867

Abstract

Health is the most important aspect of the human being life. A good health will affect other aspects, one of which will affect the economic aspect of the income earned by individuals. The purpose of this research is to know the correlation between health condition and income of society in Prambanan Sub-district. This research uses quantitative descriptive research, with the research variables such as health data and income data. The sample in this study amounted to 2,235 respondents from 16 Villages in Prambanan Sub-district, Klaten. The Data Collection Method used in this research are interview, observation and questionnaire with the data analysis technique is quantitative descriptive analysis which is non statistical analysis with frequency table. The results show that there is not a significant correlation between health and income. Pereng Village has an average of "High" income with the population average monthly income > Rp. 1.500.000,00 of 52.04% but has health condition in the "Medium" level. Randusari Village has health condition in "Medium" level whereas Randusari Village has average "Low" income with population with average income per month < Rp. 500.000,00 for 44,44%. Keywords: Health Conditions, Income References Alviana, Hendika. 2017. The Development of the Economic Potential of the Local Areas to Reduce the Gap in Growth between Subdistrict in Sukoharjo Regency years 2010-2015. [Article Scientific Publications]. Surakarta: Muhammadiyah University Of Surakarta Atmawikarta, Arum. (2009). "A health Investment For economic development". BAPPENAS: Director of Community Health and Nutrition BPS Klaten Regency. (2016). Human development Index Klaten 2016. Klaten Regency and Klaten: BPS/BPS-Statistics of Klaten Regency. BPS Klaten Regency. (2016). Sub Prambanan in Number 2016. Klaten Regency and Klaten: BPS/BPS-Statistics of Klaten Regency. Fadhilah, Achmad. Spatial Analysis of the Level of Insecurity Dengue Feverfor Priority Handling System Using geographical InfromasiPrambanan Sub-district Klaten Regency. Analysis of the Spatial Level, 295-305. Hartono, Budiantoro. (2008). Analysis of the Imbalance of Economic Development in the Province of Central Java. [Thesis]. Semarang: University of Diponegoro Klaten Regency. (2015). Community Health Profile Klaten 2015. Head Of Department: Klaten Regency. Ismail M. (2013).The Influence of Family Income Level, Education Level of the Mother and the Mother's Employment Status for Nutritional Status in the District of Darul Makmur, Nagan Raya Regency [Thesis]. University Of Teuku Umar. Muta'ali, Lutfi. 2015. The Regional Analysis Techniques for Planning regions, Spatial, and Environment. Yogyakarta: Faculty Of Geography Gadjah Mada University, Publisher. Putra, Andi NepiErtanta. (2012). Economic Growth Imbalances between Klaten Regency in Central Java province Year 1999 – 2009 [Thesis]. Yogyakarta: Atma Jaya University of Yogyakarta Sudarlan. (2015). Economic Growth, Inequality,and Poverty in Indonesia. Journal Exists, Vol 11 (1), 3036-3213 Susilo, Abdi. (2017). Analysis of Economic Growth and Inequality of Income Distribution between the Central Java Regency [Thesis]. Surakarta: Muhammadiyah University Of Surakarta. Syamsurijal. (2008). The Influence of the Level of Health of the Revenue capita Growth Rate Against in South Sumatra. Journal of Economics and Development Policy, Vo1 6 (1), 1-9. Wisana, I Dewa Gede Karma. (January 2001). Health as an Investment. Journal of Economics and the Development of Indonesia, vol. 1 (1), 42-51. Yuhendri. (2013). Influence the Quality of Education, Health,and Investment towards Growth of West Sumatra[Article Publication]. Padang: State University of Padang Yuliartika, Febriyana Niken., Larasati, Dheya Amalia., Sehan, Septia Mahadeka Putri., Okctaviana, Angel., Alfredo, Septian Briantama., (2017). Study of the Level of Knowledge of Early Warning Systems Individual and Household in the Face of Devastating Earthquake in Wonogiri. Presented at the National Seminar on Geography UMS 2017, Surakarta, Central Java, May 22, 2017 Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
THE CARRYING CAPACITY ON ECOSYSTEM SERVICES OF LAND USE CHANGE AT BORDER ENTIKONG Robby Irsan; Luthfi Muta'ali; S Sudrajat
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7896

Abstract

Entikong Region is located in Sanggau Regency, West Kalimantan Province, Indonesia, which is directly adjacent to Malaysia. Land use in the Border Area, which is massive and irregular, results in environmental degradation, deculturization, and lack of living standards of the community. High population growth in the border areas leads to excessive use of natural resources, and used land is not appropriately allocated. The land has limited function, and if the demand for the land is greater than the carrying capacity, there will be an imbalance that results in land degradation and its environment. The purpose of this study is to identify the type and extent of land function switch, analyze provider services as part of the Land Support Capacity Ecosystem services, and identify the Accuracy of Image Interpretation. The results showed that the increasing area of massive land use comes from a mixed plantation in 2017 increased by 60.6% of the total area of Entikong District. Degradation occurs in primary forest land use component which is only 18.6% of Entikong's total area in 2017. This indicates that the use of mixed plantation land acquires the protected forest, with many palm, rubber, and pepper. Similarly, the percentage of accuracy test from the interpretation result reaches 83.33% from 42 sample points in accordance with the real conditions. The Value of Clean Water Ecosystem Service Providers in 2011 was 0.36 and was 0.33 in 2017. Then within the period of almost 7 years, it is decreased by 0.03. Thus, the Ecosystem Service Index of clean water providers has a value less than 1, it means the function of the area as a provider of clean water is very small. Similarly, the Provider Ecosystem Services Index for Foodstuffs, the Value of Food Ecosystem Services Index in 2011 was 0.32 and was 0.31 in 2017, then within the nearly 7-year period, it is decreased by 0.01. The ecosystem services index as a food supply provider for the Entikong border area is very low (less than 1) which means the carrying capacity of the environment is not good enough for supplying food needs in Entikong. This indicates that there is a reduction in the availability of environmental services, and if it continues, then Environmental Assets declines sharply and services derived from nature will be lost or will be expensive in the near future. Thus, optimization and revitalization of land use are necessary by applying various policies related to development in the border area in Entikong District. Keywords: Borders, Land Use, Ecosystem Provider Services. References Admadhani, D. N., Hajil, A. H. S., & Susanawati, L. D. (2013). Analysis of Water Supply and Water Demand for Carrying Capacity Assessment ( Case Study of Malang ). Journal of Natural Resources and Environment. Asdak, C., & Salim, H. (2006). Water Resource Capacity As a Spatial Planning Consideration. Journal of Environmental Engineering P3TL-BPPT. Ernan Rustiadi, Sunsus Saefulhakim, D. R. P. (2011). Planning and Regional Development. Restpent Press. Ghozali. (2013). Referral of Land Use Utilization Through Ecological Footprint in Gresik Regency. Territory and Environment, 1 No.1, 67–78. Hamidy, Z. (2003). Land Cover Change, Composition, and Life Type in Suakaidupan Cikepuh. Faculty of Forestry, IPB. Muta’ali, L. (2015). Regional Analysis Techniques For Regional Planning, Spatial Planning, and Environment (Februari). Yogyakarta: Faculty of Geography UGM. National Standardization Department. (2010). Classification of Land Cover. Purwadhi. (2008). Introduction Remote Sensing Imagery Interpretation. Semarang: LAPAN. Riqqi, A. (2014). Design Concept Techniques Determination of Supporting Capacity and Capacity of the National Environment and Islands / Islands And Provinces. Bali: KLH. Saripin, I. (2003). Identify Land Use Using Landsat TM Imagery. Agricultural Engineering Bulletin. Varika. (2015). Monitoring of Ecosystem Service-Based Ecotourism (Recreation and Ecotourism) Capacity in 2000 and 2015 Using Landsat Image in Badung Regency, Bali. Viska. (2012). Land Use Direction in Batu City Based on Ecological Ecosystem Approach. Pomits Technique, 1 No.1, 1–6. Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
LEVEL OF LANDSLIDE SUSCEPTIBILITY IN CIBAL DISTRICT OF MANGGARAI EAST NUSA TENGGARA Dominikus Victorius Bate; Puguh Karyanto; Moh. Gamal Rindarjono
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7992

Abstract

This research aims to determine the degree of susceptibility of landslides in Cibal Districts. The method used in this research is descriptive survey method. The population in this research is all of the land in Cibal Districts. data collection technique is done by using observation technique and documentation study. Data analysis technique in this research uses crosstab technique. The results of this study can be seen that the level of susceptibility of landslides in Cibal based on crosstab results, there are three categories of vulnerability of landslide , they are low, medium and high. Low landslide susceptibility rate of 6.979,65 hectares or 64.09% is found in Nine sub-districts / village. The moderate landslide susceptibility rate has an area of 3,634.67 hectares or 33.38%, in seven villages. While the high landslide susceptibility rate is found only in one village with an area of 275.65 hectares or 2.35% of the total area of Cibal districts. Keywords: Susceptibility, Landslide, Cibal District References Aditya, Triyas & Marjuki, Bramantyo, (2009) Preparation of DIY Province Risk Map. Yogyakarta: Provincial Government of DIY & PPMU SCDRRRegional Disaster Mitigation Agency (BPBD) of Manggarai Regency in 2017 Nurjanah. 2012. Disaster Management. Bandung: Alfabeta Regulation of National Agency for Disaster Management 04 of 2008 on guidelines for the preparation of disaster management Ministry of Public Works Regulation No. 22 of 2007 Muta'ali. 2012. Environmental Support Capacity for Regional Development Planning. Yogyakarta: Faculty of Geography Gadjah Mada Univercity. Gems, S. 2016. Risk Management And Landslide Mitigation. UGM: YogyakartaSugiyono. 2016. Quantitative Research Methods, Qualitative, And R & D. Bandung: AlfabetaSupretno, J. (1996). Statistics, Theory and Applications. Jakarta: Erlangga Suripin.2002. Preservation of Land and Water Resources.Yogyakarta. Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
THE LAND USE PRIORITY RANKING WITH THE APPROACH OF ANALYTIC HIERARCHY PROCESS (AHP) ON THE BOUNDARY OF ENTIKONG Robby Irsan; Luthfi Muta'ali; S Sudrajat
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.8047

Abstract

Entikong is a sub-districts located in the borderline, northern end of Sanggau Regency directly adjacent to Sarawak, Malaysia. The growth of Entikong as a center of growth does not provide a downward trickle effect, but it creates an excessive resources exploitation effect to the surrounding area (backwash effect). The land use within an area should be adjusted to its function. For that reason, this research will determine the priority and rank of land use by using the Analytic Hierarchy Process (AHP). The ranking is based on four aspects of criteria; social, economic, institutional, and environmental. The hierarchy model is sorted into alternatives, criteria, and sub-criteria. The criteria and subcriteria are compared, as well as the value of consistency. After data processing and analyzing with Expert Choice software version 11, the researcher found that the main priority of land use in Entikong is for plantation, which is 29,7%. Keywords: AHP, Land Use, Expert Choice References Adimihardja, A. (2006). Strategi mempertahankan multifungsi pertanian di indonesia. Jurnal Litbang Pertanian. Bourgeois, R., Penunia, E., Bisht, S., & Boruk, D. (2017). Foresight for all: Co-elaborative scenario building and empowerment. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.04.018 Ernan Rustiadi, Sunsus Saefulhakim, D. R. P. (2011). Perencanaan dan Pengembangan Wilayah. Restpent Press. Fandelli, C. (2014). Bisnis Konservasi Pendekatan Baru Dalam Pengelolaan Sumberdaya Alam dan Lingkungan Hidup (2nd ed.). Yogyakarta: Gadjah Mada University Press. Retrieved from http://ugmpress.ugm.ac.id/id/product/sains-teknologi/bisnis-konservasi-pendekatan-baru-dalam-pengelolaan-sumberdaya-alam-dan-lingkungan-hidup Giyarsih, S. R. (2010). POLA SPASIAL TRANSFORMASI WILAYAH DI KORIDOR YOGYAKARTA-SURAKARTA Spatial Pattern of Regional Transformation In Yogyakarta-Surakarta Corridor. Forum Geografi. Hidayat, W., Rustiadi, E., & Kartodihardjo, H. (2015). Dampak Pertambangan Terhadap Perubahan Penggunaan Lahan dan Kesesuaian Peruntukan Ruang (Studi Kasus Kabupaten Luwu Timur, Provinsi Sulawesi Selatan). Jurnal Perencanaan Wilayah Dan Kota. https://doi.org/10.5614/jpwk.2015.26.2.5 IPCC. (2000). Land Use, Land-Use Change, and Forestry. Forestry. https://doi.org/DOI: 10.2277/0521800838 Ishartono & Raharjo, S. T. (2015). Sustainable Development Goals (SDGs) Dan Pengentasan Kemiskinan. Social Work Jurnal. https://doi.org/ttps://doi.org/10.24198/share.v6i2.13198 Prawira, N. G. A., & Ariastita, P. G. (2014). Rumusan Insentif dan Disinsentif Pengendalian Konversi Lahan Pertanian di Kabupaten Gianyar. Jurnal Teknik Pomits. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences. https://doi.org/10.1504/IJSSCI.2008.017590 Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
LEARNING ACTIVITIES IN HIGHER ORDER THINKING SKILL (HOTS) ORIENTED LEARNING CONTEXT N Nofrion; Bayu Wijayanto
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.8126

Abstract

The development of 21st century life requires the higher-level thinking ability developmental for learners. HOTS learning is characterized by; 1) Analysis, Evaluation and Creating, 2) Logical reasoning, 3) Consideration and critical thinking, 4) Problem Solving and Creative Thinking. One effort that can be done by educators to develop higher-level thinking ability for learners is by facilitating learners to do Advanced Learning Activities (ABL) that include: 1) processing/ analyzing, 2) Communicating/ dialogue, 3) discuss/ collaborate, 4) presents/ constructs. ABL is a continuation of Basic Learning Activities which includes; 1) Observing (combination of seeing and hearing), 2) trying/ questioning, 3) searching/ collecting. Therefore, in learning, educators should be more focused on giving learners space to do ABL while still allowing time for ABD as a warm-up activity or initial activity (Schaffolding). The way that can be done as a trigger of Advanced Learning Activities is to present more questions/ tasks/ problems on high cognitive level that is C4, C5, and C6 in every learning. High-level questions/ tasks/ problems will also encourage learners to dialogue and discuss so that collaboration in learning will be created. Keywords: Basic Learning Activity/ABD, Advanced Learning Activities/ ABL, HOTS oriented Learning References Brookhart, L. Susan. 2010. How to assess Higher Order Thinking Skills in Your Class. ASCD. Alexandria, Virginia USA Hamalik, Oemar. 2001. Learning strategies. Jakarta. Bumi Aksara -------------------- 2010. Learning strategies. Jakarta. BumiAksara Hanafiah, Nanang & Suhana, Cucu. 2010. Learning Strategies. Bandung. Refika Aditama Marzano, R. J., & Kendall, J. S. (2007) .The new taxonomy of educational objectives (2nd ed.). Thousand Oaks, CA: Sage Marzano, R. J & Heflebower, T. 2012.Teaching & Assssing 21st Century Skills (The Classroom Strategies Series). EBook from marzanoresearch.com Nofrion. 2017. Geography Learning Models and Strategies (Designing HOTS and Learning Collaborative Learning). Padang. Sukabina Publisher N, Nofrionet al.2018. Effectiveness of EXO OLO TASK Learning Model Based on Lesson Study in Geography Learning IOP Conf. Ser .: Earth Environ. Sci. 145 012038 Parjito. 2015. Vision of 21st Century Geography Education. Proceedings of the P3GI National Seminar. Poor. ISBN: 978 - 602 - 71506 - 3 – 8 Prayitno.2009 Basic Teaching and Praxis Education. Grasindo. Jakarta Sardiman. 2010. Interaction and Motivation of Learning Teaching. Jakarta. Rajawali Press Silbermen, L. Melvin. 2006. Active Learning: 101 Learning Methods Active Students. Bandung. Nusamedia Law Number 20 of 2003 concerning National Education Systems Woolfolk. 2009. Educational Psychology (Active Learning Edition), Tenth Edition. Yogyakarta. Student Library Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
DOMESTIC ENERGY UTILIZATION AND POTENTIALS OF ALTERNATIVE SOURCES OF ENERGY IN MUBI METROPOLIS Bulus Luka Gadiga; Kevin Ferdinand Jigumtu; Hajjatu Tammi
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.8185

Abstract

The Study investigates domestic energy utilization and potentials of alternative sources of energy in Mubi metropolis of Adamawa State. To achieve the objectives of this study, data were collected using questionnaire. A total of 108 sets of questionnaire were retrieved and analyse using descriptive statistics. Some of the data collected from respondents include; types of energy used for various purposes, factors that influence such use and preferences for the different types of energy. Other information which cannot be collected using questionnaire were obtained from published and unpublished materials. The findings show that households rely more on fuel-wood. Economic factors were found to influence the choice of energy used in homes. Solar energy and wind energy have high potentials as alternative energy source that will help in mitigating climatic change. The study concludes that households in Mubi metropolis tend to climb the energy ladder from low grade energy types to modern energy when income increases and such energy are made available. The study recommends that households be sensitized on the health and environmental effects of traditional energy. Households should be encouraged to use modern and alternative sources of energy in order to mitigate climate change. Such energies should also be made affordable and available since majority of the respondents were willing to switch when made affordable. Keywords: Domestic energy, alternative energy, climate change, firewood. References CBN (2009). Statistical Bulletin, Central Bank of Nigeria: Volume 20, December 2009 Climate Change Network Nigeria (CCNN, 2003) Monitoring Nigerian climate change. www.ccnnigeria.org accessed on February, 2018 DECC, (2013) The UK low carbon transition plan: national strategy for climate and energy. Presented to Parliament pursuant to Sections 12 and 14 of the Climate Change Act 2008, TSO ETB (2011) Engineering Tool Box. http://www.engineeringtoolbox.com. Accessed May 2017 Federal Ministry of Environment (2014). Nigeria’s Second National Communication Under TheUnited Nations Framework Convention on Climate Change. Abuja, Nigeria. Halava, Satu (2013) Carbon Footprint of Thermowood. unpublished project, Satakunnan University of Applied Sciences. Accessed on 13th August, 2018 from https://www.theseus.fi/bitstream/handle/10024/63624/Halava_Satu.pdf;sequence=1 Kaltimber (2017) How much CO2 is stored in 1 kg of wood? http://www.kaltimber.com/blog/2017/6/19/how-much-co2-is-stored-in-1-kg-of-wood accessed on 11th August, 2018. Mshelia, A. D (2015). Seasonal Variations of Household Solid Waste Generation in Mubi, Nigeria. International Journal of Innovative Education and Research. Vol. 3, No. 5 Momodu I. M., (2013). Domestic Energy Needs and Natural Resources Conservation: The Case of Fuelwood Consumption in Nigeria. Mediterranean Journal of Social Sciences, Vol 4 No 8. 27-33 NEC, (2006) National Emission Ceilings for Certain Atmospheric Pollutants. Ministry of Housing, Spatial Planning and the Environment, The Hague, Netherlands New, M., Bruce Hewitson, David B. Stephenson, Alois Tsiga, Andries Kruger ….Robert Lajoie (2006): Evidence of trends in daily climate extremes over southern and West Africa, J. Geophys. Res., 111, D14102, doi: 10.1029/2005JD006289. Nigeria Energy Commission, (2006) Report of survey of energy utilization in the informal sector: A case study of the FCT, Federal Ministry of Power Technical Report. September, 2006. Obueh, J. (2008), “The Ecological Cost of increasing Dependence on Biomass fuels as Household Energy in Rural Nigeria”: Lessons from Boiling Point No. 44, GTZ/ITDG. Laurent Cousineau copyright 2011-2017, climate change guide. Osueke C. O and C. A. K. Ezugwu (2011) Study of Nigeria Energy Resources and Its Consumption. International Journal of Scientific & Engineering Research, Vol. 2, (12) Oyeneye O.O., (2004) Socio-economic influence on policies of Power Deregulation, Proc 20th National Conference of the Nigeria Society of Engineering (Electrical Division), October 6th to 7th, 2004, Pp.1-15 Palmer J, Cooper I. (2014) United Kingdom energy housing fact file 2013; 2014. Union of Concerned Scientists (UCS), (2015) Science for a healthy planet and safer world. 2016–2020 Strategic Plan World Bank, (2005).‘‘Household Energy Use in Developing Countries’’ (series No.5). Washington D.C., U.S.A: retrieved on August 16, 2012 from ESMAP Report.http://www.Worldbank.org./esmap/. Accessed on July 10th, 2012. Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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