Geosfera Indonesia最新文献

{"title":"HEALTH FACILITIES LOCATIONAL ANALYSIS IN MAKURDI LOCAL GOVERNMENT AREA OF BENUE STATE-NIGERIA USING GIS APPLICATION","authors":"Oboh Satur Okosun","doi":"10.19184/GEOSI.V3I3.8830","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I3.8830","url":null,"abstract":"The most important indices of defining general welfare and quality of life of people in the world are the physical and mental health of individuals. This study attempts to examine GIS solution in the spatial analysis of health facilities in Makurdi local government area of Benue State, through mapping of the existing health facilities located in the study area, their spatial distribution pattern, identify areas with marginal services and propose a model for the future development as well examine the availability and accessibility of the existing health facilities, e.g (road network, travel time, distance covered and queuing time). The” Nearest neighbour analysis” Geospatial statistical method was employed to determine the spatial distribution pattern of the existing health facilities in other to determine the area of limited service and accessibility to healthcare facilities. The findings indicated that the healthcare facilities are randomly distributed; Fiidi ward was discovered to have limited service as regards the healthcare facilities in the study area. In line with the findings, recommendations were made on the use of GIS to build a concept that can be followed and replicated in divergent social-economic and political contexts. Conclusively, the study had shown that GIS is a vital tool in healthcare facility analysis and also in live application issues and thus should be encouraged in Nigeria for national economic transformation and sustainable development. \u0000  \u0000keywords: Health, GIS, Mapping, Location","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43332922","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 ANALYSIS OF CALCULATION FACTORS IN BASUKI RAHMAT ROAD, KALIWATES DISTRICT, JEMBER REGENCY","authors":"Dinda Ayu Pramesty, B. Apriyanto, E. Nurdin","doi":"10.19184/geosi.v3i3.9298","DOIUrl":"https://doi.org/10.19184/geosi.v3i3.9298","url":null,"abstract":"Congestion is the obstruction of traffic flow which is one of the problems in developing countries. The main factor that causes congestion is the rapid population growth and lifestyle of the population. This observation aims to determine the factors that have caused congestion on Basuki Rahmat Street, Kaliwates District, Jember Regency. Our data is obtained directly by using descriptive survey methods, which are supported by observation, documentation and description analysis techniques. The results of this observation show that rapid population growth and the lifestyle of the population who prefer to use private transportation have a significant influence on the congestion that occurs on Basuki Rahmat Street, Kaliwates District, Jember Regency. According to the data we obtain from population growth and the lifestyle of the population, there needs to be self-awareness from the users of private transportation and the need for government support or attention to society and the environment.","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41977313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANALYSIS OF VEHICLE DENSITY IN WIROLEGI, SUMBERSARI DISTRICT, JEMBER REGENCY","authors":"Dinda Ayu Pramesty, F. A. Kurnianto, F. Ikhsan","doi":"10.19184/GEOSI.V3I3.9299","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I3.9299","url":null,"abstract":"Transportation is an important aspect of life, especially to fulfill living needs, people need transportation. Congestion that occurs in Jember Regency shows that this area is an industrial center and education center for the surrounding area, so that the high demand for goods and people in Jember Regency. This observation aims to determine the intensity of the density of motorized vehicles in Wirolegi Village, Sumbersari District, Jember Regency. Our data is obtained directly by using quantitative descriptive methods, which are supported by observation, documentation and description analysis techniques. The results of these observations show that Pakusari is the main road used by residents to go to the city center. According to data we get more people using motorbikes than other transportation, this is because motorbikes are one way to quickly get to the desired place. With the large number of motorized vehicles and causing traffic jams, it affects the surrounding air pollution.","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42046528","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 SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES","authors":"B. I. Yakubu, S. Hassan, Sallau Osisiemo Asiribo","doi":"10.19184/geosi.v3i2.7934","DOIUrl":"https://doi.org/10.19184/geosi.v3i2.7934","url":null,"abstract":"Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm in GIS. Accuracy assessment results were evaluated and found to be between 56 to 98 percent of the LULC classification. The change detection analysis revealed change in the LULC types in Minna from 1976 to 2016. Built-up area increases from 74.82ha in 1976 to 116.58ha in 2016. Farmlands increased from 2.23 ha to 46.45ha and bared surface increases from 120.00ha to 161.31ha between 1976 to 2016 resulting to decline in vegetation, water body, and wetlands. The Decade of rapid urbanization was found to coincide with the period of increased Public Private Partnership Agreement (PPPA). Increase in farmlands was due to the adoption of urban agriculture which has influence on food security and the environmental sustainability. The observed increase in built up areas, farmlands and bare surfaces has substantially led to reduction in vegetation and water bodies. The oscillatory nature of water bodies LULCC which was not particularly consistent with the rates of urbanization also suggests that beyond the urbanization process, other factors may influence the LULCC of water bodies in urban settlements. \u0000Keywords: Minna, Niger State, Remote Sensing, Land Surface Characteristics \u0000  \u0000References \u0000Akinrinmade, A., Ibrahim, K., & Abdurrahman, A. (2012). Geological Investigation of Tagwai Dams using Remote Sensing Technique, Minna Niger State, Nigeria. Journal of Environment, 1(01), pp. 26-32. \u0000Amadi, A., & Olasehinde, P. (2010). Application of remote sensing techniques in hydrogeological mapping of parts of Bosso Area, Minna, North-Central Nigeria. International Journal of Physical Sciences, 5(9), pp. 1465-1474. \u0000Aplin, P., & Smith, G. (2008). Advances in object-based image classification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7), pp. 725-728. \u0000Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., . . . Teshale, E. Z. (2018). Time Series Land Cover Mapping and Change Detection Analysis Using Geographic Information System and Remote Sensing, Northern Ethiopia. Air, Soil and Water Research, 11, p 1178622117751603. \u0000Azevedo, J. A., Chapman, L., & Muller, C. L. (2016). Quantifying the daytime and night-time urban heat island in Birmingham, UK: a comparison of satellite derived land surface temperature and high resolution air temperature observations. Remote Sensing, 8(2), p 153. ","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43051879","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":"LEVEL OF LANDSLIDE SUSCEPTIBILITY IN CIBAL DISTRICT OF MANGGARAI EAST NUSA TENGGARA","authors":"Dominikus Victorius Bate, P. Karyanto, M. Rindarjono","doi":"10.19184/GEOSI.V3I2.7992","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.7992","url":null,"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. \u0000Keywords: Susceptibility, Landslide, Cibal District \u0000  \u0000References \u0000Aditya, 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 \u0000Nurjanah. 2012. Disaster Management. Bandung: Alfabeta \u0000Regulation 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 \u0000Muta'ali. 2012. Environmental Support Capacity for Regional Development Planning. Yogyakarta: Faculty of Geography Gadjah Mada Univercity. \u0000Gems, 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 \u0000Suripin.2002. Preservation of Land and Water Resources.Yogyakarta.  \u0000 ","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46733788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANALYSIS OF RAINY DAYS AND RAINFALL TO LANDSLIDE OCCURRENCE USING LOGISTIC REGRESSION IN PONOROGO EAST JAVA","authors":"D. Muriyatmoko, Sisca Mayang Phuspa","doi":"10.19184/GEOSI.V3I2.8230","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.8230","url":null,"abstract":"Referred to data of Badan Nasional Penanggulangan Bencana (BNPB) and Kementerian Kesehatan Republik Indonesia (Kemenkes RI), almost landslide occurrence in Ponorogo always starts with high-intensity rain. This research aimed to determine simultaneously correlation and partial assessment impact of rainy days every month and monthly rainfall toward landslide occurrence in Ponorogo using logistic regression. The data collection was conducted through Badan Pusat Statistik (BPS) in the book of Ponorogo Regency in Figure on 2012 to 2016. The existing data shows that in sixty months have been twenty-six times landslides occurrence in Ponorogo districts.  The data statistically analyzed in simultaneous proves that contribution of rainy days and rainfall to landslide were included adequate correlation (Nagelkerke R Square = 25.4 % and Cox & Snell R Square = 36.9 %) and in partial test proves that rainy days have significant impact (sig. = 0.024) and rainfall does not significant impact (sig. = 0.291) (α = 0.05) to landslide occurrence in Ponorogo regency.  The rainy days per month were abled applied to predict for possible landslide elsewhere. \u0000Keywords: rainy days, rainfall, landslide, Ponorogo, logistic regression \u0000  \u0000References \u0000Aditian, A., Kubota, T., & Shinohara, Y. (2018). Geomorphology Comparison of GIS-based landslide susceptibility models using frequency ratio , logistic regression , and arti fi cial neural network in a tertiary region of Ambon , Indonesia. Geomorphology Journal, 318, 101–111. https://doi.org/10.1016/j.geomorph.2018.06.006 \u0000Agresti, A. (1996). An Introduction to Categorical Data Analysis. Wiley. https://doi.org/10.1002/0470114754 \u0000Amri, M. R., Yulianti, G., Yunus, R., Wiguna, S., Adi, A. W., Ichwana, A. N., … Septian, R. T. (2016). Risiko Bencana Indonesia. Jakarta: Badan Nasional Penanggulangan Bencana. \u0000Badan Nasional Penanggulangan Bencana. (2018). Data Pantauan Bencana. Retrieved June 21, 2018, from http://geospasial.bnpb.go.id/pantauanbencana/data/index.php \u0000Badan Perencanaan Pembangunan Daerah Ponorogo. (2013). Pembangunan Ponorogo Dalam Angka 2013. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication/ \u0000Badan Perencanaan Pembangunan Daerah Ponorogo. (2014). Pembangunan Ponorogo Dalam Angka 2014. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication \u0000Badan Pusat Statistik Kabupaten Ponorogo. (2015a). Ponorogo Dalam angka 2015. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication \u0000Badan Pusat Statistik Kabupaten Ponorogo. (2015b). Ponorogo Dalam angka 2017. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication \u0000Badan Pusat Statistik Kabupaten Ponorogo. (2016). Ponorogo Dalam angka 2016. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication \u0000Chuang, Y. C., & Shiu, Y. S. (2018). Relationship between landslides and mountain development—Integrating geospatial statistics and a new long-term database. Science of the Total Environment Journal, 622–623, 1265–1276. ht","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43172933","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 ENVIRONMENT ANALYSIS OF POPULATION GROWTH, UNEMPLOYMENT, AND POVERTY LEVEL IN MAESAN DISTRICT BONDOWOSO REGENCY","authors":"F. A. Kurnianto, Dian Rakhmasari, F. Ikhsan, B. Apriyanto, E. Nurdin","doi":"10.19184/GEOSI.V3I2.8439","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.8439","url":null,"abstract":"Poverty is one of the problems in the economy and environment that must be resolved immediately. The factors that influence poverty are population growth, economic growth, and unemployment. This observation aims to find out the relation of environment, population growth, economic growth, and unemployment on the level of poverty in Maesan Subdistrict, Bondowoso Regency. The data in this observation is secondary data obtained from the Central Bureau of Statistics of Bondowoso Regency. The results of this observation indicate that in comparison the variables of population growth, economic growth, and unemployment, have a significant effect on the level of poverty and environment in Maesan District, Bondowoso Regency. According to the data we obtain from the field between the influence of population growth, the economy and unemployment on average the rate of growth is slow and the people are still quite backward, still need more attention for environment effect and there are concrete actions for the development of the Maesan region. Therefore the government's encouragement is very important to promote the community in Maesan District, Bondowoso Regency. \u0000Keywords: Population Growth, Maesan, Unemployment \u0000  \u0000References \u0000Basri, Faisal H. 1998. Indonesian Economy Ages in the XXI Century, Distortion, Opportunities and Constraints. Jakarta: Erlangga. \u0000Boediono. 1993. Microeconomics. Yogyakarta: BPFE. \u0000Ellies S. 1994. The Dimension of Poverty. Jakarta: Kumarien Press \u0000Komariyah, Ani. 2013. Analysis of Several Factors Affecting Fishermen's Income: Case Study in Tembokrejo Village, Muncar District, Banyuwangi Regency. Jember: University of Jember \u0000Prawoto, Nano. 2005. \"Understanding Poverty and Handling Strategy \". Journal of Economics and Development. Vol. 6 No. 1. FE UMY \u0000Simanjuntak, P. 1998: Introduction to FEUI's Human Resource Economics. \u0000Sukirno, Sadono. 1992. Introduction to Macroeconomics. Jakarta: LPFI-Press. \u0000Widarjono, A.2013. Econometrics Theory and Application. Yogyakarta: Econisia.","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43314034","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":"GEOGRAPHY LITERACY OF OBSERVATION INTRODUCTION LANDSCAPE REPRESENTATION PLACE FOR STUDENT EXPERIENCE","authors":"Fahrudi Ahwan Ihsan, F. A. Kurnianto, E. Nurdin, B. Apriyanto","doi":"10.19184/GEOSI.V3I2.8384","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.8384","url":null,"abstract":"This study aims to describe the understanding of geography literacy and student experience with landscape recognition observations using an ethnometodology perspective. The subject of this study was the chairman of each landscape recognition practice group student geography education program from University of Jember. The results of this study that geography literacy has a dimension of relevance to geographic skills in representing contextual phenomena and places from landscape recognition observation activities. The results of both observational studies provide research experience, motivation, critical and scientific thinking skills for students represented in the mapping of the area. \u0000Keywords: Geography Literacy, Student Experience, Ethnometodology \u0000References \u0000Bogdan, R. And Biklen, S.K.(1998). Qualitative Research for Education: An introduction to theories and methods. Boston: Allyn and Bacon, Inc. \u0000Boogart II, Thomas A. (2001). The Powwer of Place: From Semiotics to Ethnogeography, Middle States Geograher, 2001, 34: 38-47. \u0000Boyle, A., Maguire, S., Martin, A., Milsom, C., Nash, R., Rawlinson, S., Turner, A., Wurthmann, S. & Conchie, S.(2007). Fieldwork is Good: The Student Perception and the Affective Domain, Journaal of Geography in Higher Education, 31(2), 299-317. \u0000Chappell, Adrian.(2007). Using Teaching Observations and Reflective Practice to Challenge Conventions and Conceptions of Teaching in Geography, Journal of Geography in Higher Education, 32(2), 257-268. \u0000Comber, Barbara.(2017). Literacy Geography and Pedagogy: Imagining Translocal Research Alliances for Educational Justice, Journal Literacy Research: Theory, Method, and Practice, Sagepub, University of South Australia, 66, 53-72. \u0000Cotton, Debby R.E., Stokes, Alison, & Cotton, Peter A.(2010).Using Observational Methods to Research the Student Experience, Journal of Geography in Higher Education, 34(3), 463-473. \u0000Denzin, Norman K. And Lincoln Yvonna S. (2008). Strategies of Qualitative Inquiry. California: Sage Publications, Inc. \u0000Fatchan, Achmad. (2015). Methodology Research Qualitative of Ethnography and Ethnometodology Approaches for Social Sciences. Yogyakarta: Ombak. \u0000Guertin, L., Stubbs, C., Millet, C., Lee, T., & Bodek, M.(2012). Enchancing Geographic and Digital Literacy with a Student Generated Course Portfolio in Google Earth, Journal of College Science Teaching, 42(2), 32-37. \u0000Hunter, Nancee.(2016). Assesing Sense of Place and Geo-literacy Indicatorc as Learning Outcomes of an International Teacher Professional Development Program, Dissertation, Porland State University. \u0000Johnston, B. And Webber, S. (2003). Information Literacy in Higher Education: a review and case study, Studies in Higher Education, 28 (3), 335-352. \u0000Levinson, S.C.(2003). Space in Language and Cognition: Explorations in Cognitive Disversity. New York: Cambridge University Press. \u0000Lloyd, Annemaree.(2006). Information Literacy Landscapes: an emerging picture, Journal of Documentation, 62 (5), 570-583. \u0000","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42621295","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":"LEARNING ACTIVITIES IN HIGHER ORDER THINKING SKILL (HOTS) ORIENTED LEARNING CONTEXT","authors":"N. Nofrion, B. Wijayanto","doi":"10.19184/GEOSI.V3I2.8126","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.8126","url":null,"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. \u0000Keywords: Basic Learning Activity/ABD, Advanced Learning Activities/ ABL, HOTS oriented Learning \u0000  \u0000References \u0000Brookhart, L. Susan. 2010. How to assess Higher Order Thinking Skills in Your Class. ASCD. Alexandria, Virginia USA \u0000Hamalik, Oemar. 2001. Learning strategies. Jakarta. Bumi Aksara \u0000-------------------- 2010. Learning strategies. Jakarta. BumiAksara \u0000Hanafiah, Nanang & Suhana, Cucu. 2010. Learning Strategies. Bandung. Refika Aditama \u0000Marzano, R. J., & Kendall, J. S. (2007) .The new taxonomy of educational objectives (2nd ed.). Thousand Oaks, CA: Sage \u0000Marzano, R. J & Heflebower, T. 2012.Teaching & Assssing 21st Century Skills (The Classroom Strategies Series). EBook from marzanoresearch.com \u0000Nofrion. 2017. Geography Learning Models and Strategies (Designing HOTS and Learning Collaborative Learning). Padang. Sukabina Publisher \u0000N, 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 \u0000Parjito. 2015. Vision of 21st Century Geography Education. Proceedings of the P3GI National Seminar. Poor. ISBN: 978 - 602 - 71506 - 3 – 8 \u0000Prayitno.2009 Basic Teaching and Praxis Education. Grasindo. Jakarta \u0000Sardiman. 2010. Interaction and Motivation of Learning Teaching. Jakarta. Rajawali Press \u0000Silbermen, L. Melvin. 2006. Active Learning: 101 Learning Methods Active Students. Bandung. Nusamedia \u0000Law Number 20 of 2003 concerning National Education Systems \u0000Woolfolk. 2009. Educational Psychology (Active Learning Edition), Tenth Edition. Yogyakarta. Student Library","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44902202","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":"DOMESTIC ENERGY UTILIZATION AND POTENTIALS OF ALTERNATIVE SOURCES OF ENERGY IN MUBI METROPOLIS","authors":"B. L. Gadiga, Kevin Ferdinand Jigumtu, Hajjatu Tammi","doi":"10.19184/GEOSI.V3I2.8185","DOIUrl":"https://doi.org/10.19184/GEOSI.V3I2.8185","url":null,"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. \u0000Keywords: Domestic energy, alternative energy, climate change, firewood. \u0000  \u0000References \u0000CBN (2009). Statistical Bulletin, Central Bank of Nigeria: Volume 20, December 2009 \u0000Climate Change Network Nigeria (CCNN, 2003) Monitoring Nigerian climate change. www.ccnnigeria.org accessed on February, 2018 \u0000DECC, (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 \u0000ETB (2011) Engineering Tool Box. http://www.engineeringtoolbox.com. Accessed May 2017 \u0000Federal Ministry of Environment (2014). Nigeria’s Second National Communication Under \u0000TheUnited Nations Framework Convention on Climate Change. Abuja, Nigeria. \u0000Halava,  Satu (2013) Carbon Footprint of Thermowood. unpublished project, Satakunnan \u0000            University of Applied Sciences. Accessed on 13th August, 2018 from \u0000            https://www.theseus.fi/bitstream/handle/10024/63624/Halava_Satu.pdf;sequence=1 \u0000Kaltimber (2017) How much CO2 is stored in 1 kg of wood? \u0000http://www.kaltimber.com/blog/2017/6/19/how-much-co2-is-stored-in-1-kg-of-wood accessed on 11th August, 2018. \u0000Mshelia, A. D (2015). Seasonal Variations of Household Solid Waste Generation in Mubi, Nigeria. International Journal of Innovative Education and Research. Vol. 3, No. 5 \u0000Momodu 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 \u0000NEC, (2006) National Emission Ceilings for Certain A","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44602381","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}