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Learning Model “AWAS (Activity Watch And See) In Increasing Motivation To Learn Geography In Class XI IPS 1 SMA Negeri 1 Gantung M. Aruna, M. Aruna; Eviliyanto, Eviliyanto
Journal of Geography Science and Education Vol. 4 No. 1 (2022): April
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v4i1.2150

Abstract

The main problems that will be solved through this Classroom Action Research are: Are The “AWAS (Activity Watch And See)” Learning Model Can Increase Learning Motivation Geography In Class XI 1 IPS SMA NEGERI 1 GANTUNG for the 2020/2021 academic year. The "AWAS (Activity Watch And See)" learning model was chosen with the assumption that it is very relevant to environmental subject matter, with the aim of being able to motivate students to be active, innovative, creative, effective and fun, as well as easy to manufacture and use.The goal to be achieved is to increase student learning motivation in the subject of Geography. The research subjects were students of class XI IPS 1 at SMA Negeri 1 Gantung, totaling 21 students. Research data were collected through daily observations and tests. Sources of data obtained from teachers, peers and students. The action hypothesis is UseThe "AWAS (Activity Watch And See)" Learning Model Can Increase Motivation to Learn Geography in Class XI 1 Social Studies at SMA Negeri 1 Gantung for the 2020/2021 Academic Year. The results showed that the use of the "AWAS" learning model in subjects in Geography on basic environmental competencies could increase students' learning motivation in class XI IPS 1 SMA Negeri 1 Gantung. This is evident from the learning achievement test data also shows an increase, namely in the pre-cycle as many as 11 students (47.6%) achieved the KKM with an average of 75.76, in the first cycle students who achieved completion were 61, 9% or 13 students. with an average of 76.57 and in the second cycle of 85.7% or 18 students with an average of 79.90.So after the whole cycle is done, it can be concluded that the use of The "AWAS (Activity Watch And See)" Learning Model Can Increase Learning Motivation Geography In Class XI 1 Social Sciences at SMA Negeri 1  for the 2020/2021 academic year. The obstacles faced in this AWAS learning are the lack of time allocation, the lack of mastery of using the Windows Movie Maker application (other applications). However, this obstacle can be anticipated by using a powerpoint that is already familiar to students
Use of HAND Model for Estimating Flood-Prone in Serawai Basins Base on Remote Sensing and Sistem Information Geography Purwanto, Ajun; Andrasmoro, Dony; Eviliyanto, Eviliyanto
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.89225

Abstract

A river basin's flood-prone mapping is essential for managing flood risks, developing mitigation plans, and developing flood forecasting and warning systems, among other things. This research uses the HAND model to estimate the level of flood-prone and its distribution in watersheds. The method used is survey and image interpretation. The data used is DEM imagery with a resolution of 10 meters. Data analysis uses spatial analysis, which includes elevation, hydrological analysis, fill, flow accumulation, flow direction, flow distance, and minus statistical analysis. The results showed that the Serawai watershed has five classes: very prone, prone, moderate, not prone, and very not prone. The very prone class has an area of 112,213.82 ha (65.41%), including Tontang, Sedaha, Nanga Serawai, Begori, Nanga Lekawai, Surga, Buntut Ponte, and Nanga Segulang village. The prone class has an area of 29,356.65 ha (17.14%), spread across the village of part of Beurgea, part of Nanga Segulang, Nanga Jelundung, and part of Tontang village. The moderate level has an area of 18,971.52 ha (11.08%), spread across Tontang, part of Nanga Jelundung, and part of Baras Nabun village. The area with a not-prone is 7,996.20 ha (4.67%), spread across Baras Nabun and parts of  Nanga Jelundung village. For areas that are very not prone, they have an area of 3,004.20 (1.75%), spread over parts of the villages of Sedaha, parts of Baras Nabun, and Nanga Jelundung. Based on the research results, it can be concluded that the HAND Model is an effective and easy-to-use model for estimating flood-prone areas.
The Role Of Adaptation In Increasing The Resilience Of The Kapuas River Tourism Community To Flooding In Pontianak Andrasmoro, Dony -; Eviliyanto, Eviliyanto
EL-JUGHRAFIYAH Vol 4, No 2 (2024): El-Jughrafiyah : August, 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v4i2.32511

Abstract

ABSTRACK. Pontianak City, located on the banks of the Kapuas River, is the cultural and economic center of West Kalimantan and often faces the threat of recurrent flooding, disrupting the local community and economy. This research aims to assess community resilience in the Kapuas River Watershed (DAS) tourist area and identify effective adaptation strategies to flooding. Using quantitative methods and a descriptive spatial approach, the research focuses on the spatial distribution of physical and human phenomena and disaster response interactions between elements in the Kapuas watershed area. Data were collected through observations, interviews, and questionnaires distributed in several neighborhoods along the riverbanks. The results showed that the level of community resilience varies from moderate to high, depending on the components of resilience measured using a Likert scale, with the identification of the percentage of two aspects, namely Knowledge and Education Insight Capability is highest in Benua Melayu Darat Village with a value of 2.82 High categories, influenced by the high level of socialization and the use of FloodGuard technology facilities as an implementation of flood warnings. and Disaster Preparedness and Response is highest in Kelurahan Banjar Serasan with a value of 3.38. The High category is influenced by the level of knowledge and high human resources which also affects the preparedness of information but is constrained in handling efforts due to the influence of community mobilization of high community work, medium category in Benua Melayu Darat Village 2.3. The results showed strategies to increase community awareness and training through campaigns and training; building disaster-resistant infrastructure and evacuation facilities in neighborhoods along the Kapuas watershed. These measures have been able to sustain the community and increase the tourism attractiveness of the area through disaster preparedness. 
ANALYSIS OF MATERIAL LOSS DUE TO FLOOD DISASTER IN THE SUB-DISTRICT OF SILAT HULU, KAPUAS HULU REGENCY Holifah Nurfitri; Florensia Rintia; Francista Francista; Ayu Rianingsih; Nurul Ramdhania; Ajun Purwanto; Dony Andrasmoro; Eviliyanto Eviliyanto
GeoEco Vol 9, No 1 (2023): GeoEco January 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i1.62423

Abstract

A flood is a frequent disaster during the rainy season and causes many losses, good materials, treasure objects, and casualties. The study aims to know the loss of materials caused by disasters that flood Bandang in the Silat Hulu Sub-district. The method of research used is descriptive quantitative. Collected data is secondary data, including damaged buildings, facilities and infrastructure, and land. The method analysis used is descriptive. The study results show that The Silat Hulu Sub-district experienced twice the floods successively. The first occurred on 18-19 October 2021 and 22-23 October 2021. A total of 11 villages of 14 villages experience a flood. Consequently, the flood and loss of materials, including dozens of house inhabitants of Village Selangkai and Entebi, were damaged, collapsed, and swept away. A total of 1,813 families were evacuated, and the total loss consequence flood around Rp. 20,000,000.00-30,000,000.00.
MANGROVE HEALTH ANALYSIS USING SENTINEL-2A IMAGE WITH NDVI CLASSIFICATION METHOD Ajun Purwanto; Eviliyanto Eviliyanto
GeoEco Vol 8, No 1 (2022): GeoEco January 2022
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v8i1.51948

Abstract

This study aims to determine 1) the mangrove vegetation density index, 2) the health of mangrove plants in Sungai Batang Village to Kuala Secapah. The data used in this study is the image of Sentinel-2A, dated June 8, 2020. The data taken are vegetation density (NDVI) and mangrove health. The method in this study uses the vegetation index transformation (NDVI). Data analysis used the supervised classification method and the vegetation density index (NDVI). The results showed that the NDVI value of -1 – 0.32 indicates a sparse vegetation density, a value of 0.33 – 0.42 indicates a medium density and 0.43 – 1 indicates a dense density. From this NDVI index value, it can be used as a basis for classifying the health of mangrove vegetation. The health of mangrove vegetation based on the vegetation index value of 0.43 – 1 (meet) indicates that the health of the mangrove vegetation is very good. Vegetation value 0.33 – 0.42 (moderate) indicates good health of mangrove vegetation and vegetation index value -1 – 0.32 (rare) indicates poor vegetation health. Mangrove health level is very good with an area of 3.0314 km2, healthy has an area of 0.204806 km2 and poor health has an area of 0.625875 km2.
MORPHOMETRY ANALYSIS OF SILAT SUB-WATERSHED BASED ON GEOSPATIAL TECHNOLOGY IN THE SILAT HULU SUB DISTRICT Nurul Ramdhania; Ayu Rianingsih; Holifah Nurfitri; Ajun Purwanto; Dony Andrasmoro; Eviliyanto Eviliyanto; Francista Francista; Florensia Rentia
GeoEco Vol 9, No 1 (2023): GeoEco January 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i1.60711

Abstract

This study aims to obtain morphometric data from the Silat sub-watershed. The method used is a survey and interpretation of secondary data. Secondary data is taken from Remote Sensing Images, Topographic Maps, and Administration maps. The morphometric data taken were the area, shape, circumstance, river length, river order, height, and drainage density. Data analysis using the Spatial Analyst Tool, namely Hydrology, Map Algebra, and Density tools from ArcGis 10.8. Based on the research results, it is known that the Silat watershed has an area of 466 km², a circumference of 147 km, and a river length of 51 km. The shape of the Silat watershed is elongated because the Circularity Ratio value is 0.27 (<0.5), and the Elongation Ratio value is 5.14 (round). The order of the river network is up to order 6, with a branching index (Rb) of order 1 = 2.03; 2nd order = 2.09; 3rd order = 1.75; 4th order = 1.84; and 5th order = 0.96. The Weighted Average Branching Index (WRb) was 2.73 (<3). The Silat sub-watershed has a height of 32 - 255 meters above sea level. Low river density, dendritic river flow pattern. 
Comparative Analysis of HAND with TWI Flood-Prone Mapping Models in Data-Scarce Areas Purwanto, Ajun; Andrasmoro, Dony; Eviliyanto, Eviliyanto
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.99160

Abstract

Flood is one of the most frequent natural disasters in Indonesia and worldwide. Therefore, this study aimed to compare and evaluate flood-prone mapping model using Height Above Nearest Drainage (HAND) and Topographic Wetness Index (TWI) model in data-scarce areas. HAND and TWI models were used to estimate flood-prone level, with field survey and image interpretation as primary methodologies. The data used was Digital Elevation Model (DEM) imagery with a resolution of 10 meters, incorporating elevation, slope, and hydrological parameters namely flow accumulation, direction, and distance. The mapping flood-prone areas were categorized as very prone, prone, moderate, not prone, and very not prone. The results showed that there were differences between HAND and TWI models in terms of area and percentage. The differences in flood inundation characteristics produced by HAND model were mainly due to variations in elevation and proximity to drainage channels. In contrast, TWI model focused on topography, soil moisture, and runoff potential. The differences between the two models also emphasized the importance of terrain characteristics in model predictions. The comparable predictive ability of HAND and TWI models presents an alterReceived: 2024-08-15 Revised: 2 024-09-12Accepted: 2025-03-22 Published: 2025-05-26   
Development of Critical Thinking Model in History Learning Purmintasari, Yulita Dewi; Suwarni, Suwarni; Eviliyanto, Eviliyanto; Billy, Jonatan
HISTORIA: Jurnal Program Studi Pendidikan Sejarah Vol 12, No 2 (2024): HISTORIA: Jurnal Program Studi Pendidikan Sejarah
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/hj.v12i2.9782

Abstract

The aim of this research is to develop a critical thinking model and determine students' critical thinking abilities because critical thinking skills are very important for students to master to be able to explain logically in reconstructing historical events. The research method used in this research is development research using the ADDIE procedure (Analyze, Design, Develop, Implement and Evaluate). Data collection techniques use observation, direct communication, and documents, while the tools use observation guides, interview guides, and expert validation sheets. The data analysis technique using quantitative descriptive is used as a technique for reviewing research findings, with stages of data selection, data tabulation, calculating alternative answers. The results of the category validation research were very good with an average score of 4.38. The results of the feasibility test are very good with an average score of 4.49, product implementation shows that the results of the effectiveness test show that critical thinking skills as seen from the learning results using the model developed have higher results.