COVER GEA VOL 21, NUMBER 2 OCTOBER (2021)

COVER

The Contribution of Geography Learning to Disaster Preparedness of Students in Public Senior High Schools in Kendari

This research aims to see how to learn geography, how students' disaster preparedness are, and how the contribution of geography learning to disaster preparedness of students in Public Senior High School in Kendari. By using quantitative approach, the data were collected through observation and questionnaires in 5 schools in Kendari which were distributed to 150 students and 10 teachers. The results of students' learning geography with several indicators are presented as follows; with learning variable, 12.5% is categorized as low, 46.5% moderate, 41% high; with preparedness variable, 25.5% is categorized as low, 49.5% medium, 25% high. There is a contribution of geography learning to disaster preparedness with the coefficient of determination R square (R2) of 39.4% while 60.6% is from other factors. Then, the influence of X on Y can be written in the form of a regression equation, namely (Y = 55.998 + 0.159 X). Based on the regression equation, it can be denied that geography learning has a positive correlation with disaster preparedness of students in Public Senior High School in Kendari

The Role of Geographic Information Science in Achieving Sustainable Development Goals (SDGs) During The Covid-19 Pandemic

Sustainable development and the goals that have been set by the UN are the results of mutual agreement on various pressing issues that must be addressed by our society. Along with the pandemic conditions that hit various parts of the world, the challenges for the realization of sustainable development are getting higher. Geospatial technology offers reliable tools to support the various processes and stages of planning, analysis, problem-solving, decision making, and process management necessary to pursue this common goal. GIScience has a very important role in investigating opportunities to help solve sustainable development problems. This study presents the state of the art of how GIScience plays a role to achieve sustainable development goals particularly during pandemic covid situations which resulting in a backward for some actors in several countries to achieve these goals. This study uses the content analysis method to analyze various issues related to sustainable development, SDGs, pandemic covid-19, and GIScience. Not only providing state of the art of research, but this paper also presents how actually GIScience can help to accelerate the problems thus the ultimate goal of sustainability can be achieved.

Surface Runoff Management Model of Bandung Regency Through Remote Sensing Analysis

Flood is caused by surface runoff, therefore controlling the surface runoff is necessary especially on built areas. The aim of this research is to analyze the width, calculating the volume of surface runoff and analyze the model of infiltration wells on built areas in Bandung Regency. The methods implemented in this research is experimental method. This method was carried while analyzing rainfall on built areas samples, which is house building. The land use was analyzed through Landsat 8 imagery in the year of 2019. Rainfall volume was calculated by equation V = h x l. Meanwhile the volume of infiltration well was calculated by equation V = h x k. The result of 2019 Landsat imagery analysis shows that 19.01% of total watersheds in Bandung Regency or as much as 1382.13 km2 is the built areas. The highest rainfall in total of 0.02431 m occurred in October on the area of 197.67 m2 and became a surface runoff of 377,534 m3. In a house building, as built area example, as wide as 90 m3, the amount of 2.19 m3 rainwater needed to be infiltrated. Infiltration well model is a management model on each built areas, so that rainwater on built areas would not be turned into a surface runoff.

Study of Flood-Prone Areas in Bekasi Regency

Bekasi Regency is a potential area economically because there is the largest industrial area in Southeast Asia. However, Bekasi experiences the threat of flooding every year. The growth of the Bekasi Regency area has been affected by the growth of the Jakarta area, even becoming part of the JABODETABEK Metropolitan area (Jakarta-Bogor-Depok-Tangerang-Bekasi. This shows a potential location for economic growth in Bekasi Regency. Bekasi Regency is a West Java Province Region and is hydrologically included in the Regional Unit River (SWS) from the Citarum River Basin. The purpose of this study is to describe flood-prone areas in Bekasi Regency. The research method uses data collection methods by means of surveys and field observations. The data obtained are primary and secondary data, analyzed using ARCH GIS assistance to map flood-prone areas and their inundation and drainage channel conditions. The study findings will provide lessons on flood cases in Bekasi Regency. Flood cases that can provide knowledge related to cases of coastal areas and cases of areas that have high economic potential.

Blog Development as A Resource for Geographic Learning in SMAN Kecamatan Percut Sei Tuan

An effective learning process is a learning process that uses various forms of learning resources. This study aims to determine blogs' feasibility as a source of learning geography for material management of Indonesia's natural resources at SMAN Percut Sei Tuan District. This research was conducted in the odd semester of the 2019/2020 school year, with a population of all class XI IPS students at SMAN 1 Percut Sei Tuan consisting of 4 classes with a total of 139 students and class XI IPS at SMAN 2 Percut Sei Tuan which consisted of 2 courses with the number of 69 students. The study sample was class XI IPS 1 at SMAN 1 Percut Sei Tuan, totaling 35 students, and class XI IPS 1 at SMAN 2 Percut Sei Tuan amounted to 33 students. This research is development research using the Borg and Gall model with ten steps of research implementation. The data collection technique used was a questionnaire. The data analysis technique used is descriptive. The results showed that the validation of the feasibility of blogs as a source of learning geography carried out in 2 stages showed that in the first stage of verification, the acquisition of the feasibility of a blog as a source of learning geography was (87.27%) with criteria worthy of revision as needed. After making improvements according to the assessors' input, the results of the stage 2 validation obtained the feasibility of a blog as a source of learning geography (93.89%) with very feasible criteria without revision.

The Effect of Interactive Blended-Problem Based Learning Assisted Virtual Classroom on Critical Thinking Skills of Students of The Society Era 5.0

Students in society 5.0 era education are directed to have adaptive and reactive response patterns to change through effective synergy as domain systems inaccessibility to technology in developing their skills actively and independently through critical thinking skills. Critical thinking skills as a cognitive domain in identifying, analyzing, and thinking of practical and creative ways to solve problems are needed to develop in the era of global society 5.0. Therefore, teachers are required to design learning processes that can accommodate student competencies in the era of society 5.0, one of which is the implementation of the innovative Interactive Blended Problem-Based Learning (IBPBL) learning model. This study aims to determine the effect of Interactive Blended Problem-Based Learning (IBPBL) assisted by Virtual Classroom on students' critical thinking skills. This type of research is a quasi-experimental study using a posttest-only control group design. The sample in this study used 72 students in class X IPS 2 (n = 36 control class) and X IPS 3 (n = 36 experimental class), Specializing in Social Sciences, SMAN 1 Tempeh, Lumajang Regency, East Java. The data analysis technique used the independent t-test hypothesis test to determine the significance value of the difference in the average treatment given to both the control and experimental classes. The results showed an effect of Interactive Blended Problem-Based Learning (IBPBL) assisted by Virtual Classroom on the critical thinking skills of students with Sig. (2-tailed) 0.000.

Monitoring of Vegetation Cover Changes With Geomorphological Forms using Google Earth Engine in Kendari City

Vegetation cover plays an important role in controlling the view, boundaries, air temperature, living place and aesthetics in an area. Vegetation cover changes can be caused by changes in temperature, rainfall and human activities. Google Earth Engine (GEE) provides machine learning algorithms such as NDVI which are very useful in extracting vegetation density levels from imagery. The purpose of this study was to analyze vegetation cover changes by human activities in relation to the geomorphological form of Kendari City. The imagery used in multi-temporal monitoring are Landsat-7 ETM in 2000, Landsat-5 TM in 2005 and 2010 and Landsat 8 OLI in 2015 and 2020. Input machine learning using near infrared (NIR) and red (Red) for the NDVI Algorithm while the geomorphological form uses SRTM imagery. The classification of vegetation cover consists of water bodies, open field, built areas and roads covered with asphalt, paving or soil, plantations/agriculture, bushes, grass, reeds, green open space and forests. Each sub-district experienced a decrease in vegetation cover in the form of plantations/agriculture, bushes, grass, reeds, green open space except for the West Kendari District which tended to be varied. The forest area is getting better every year. The existence of protected forests and geomorphological forms such as lowlands are the driving factors for changes in vegetation cover, while low hills and high hills are flat to steep are contrainst factors. Machine learning in GEE is very helpful in monitoring vegetation cover changes and has an NDVI algorithm that is quite easy to apply.

Impact of Coastal Flood on Building, Infrastructure, and Community Adaptation in Bukit Bestari Tanjungpinang

Coastal flood in Indonesia, namely as banjir rob, is a phenomenon that increases seawater to inundate around the tidal area. In Tanjungpinang, cases of coastal floods become a serious problem for people living in this area. This research aims to model the coastal flood inundation by modeling water inundation with a maximum level increase scenario. Its model was used to estimate coastal floods' impact on houses, buildings, and infrastructures with scenario 2 meters of sea-level rise. On the other hand, the budget loss for restoration was estimated to study the effort of community adaptations with the ECLAC RAB method and observation to understand community adaptation. It was found that the spatial model succeeded in zoning inundation areas, which had a significant impact on houses, buildings, worship places, schools, and industrial at many 4112 units. From this case, the budget loss for the restoration of the physical environment was estimated at around 61994014.75 USD. In addition, the survey revealed the existing condition before and after the coastal flood. Several community efforts for adaptation were developing houses on stilt and hoarding the lowest land on-site location for build houses.

Analysis of Regional Leading Sector Through Location Quotient Approach, Shift Share Analysis, and Klassen Typology (Case Study: Sanggau Regency, West Kalimantan Province)

Development of economic is a must for a region, even though the region is classified as prosperous and prosperous. However, level of affluence and affluence must be increased, at least be guarded, based on this basis economic development is still needed. To optimize the direction of economic development, it’s necessary to know the potential sectors in Sanggau Regency, so its can generate significant economic growth. This research had purpose to describe the pattern of changes in economic growth and determine the potential sectors in Sanggau Regency, so the results can be taken into consideration in policy formulation and future development planning in Sanggau Regency. The method that was used in this research is descriptive with a quantitative approach. With analysis data technique uses 3 approaches is the Location Quotient (LQ) Analysis Method, Shift Share (SSA) and Klassen Typology. Sectors in Sanggau Regency which are classified as regional superior sectors include Agriculture, Forestry and Fisheries, Mining and Quarrying, and Processing Industries. Therefore, it’s hoped that the regional development strategy will prioritize the leading sectors in the area.