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Flood Vulnerability Analysis Based on GIS and Remote Sensing at Silat Hulu Purwanto, Ajun; Andrasmoro, Dony; Eviliyanto, Eviliyanto
Indonesian Journal of Geography Vol 56, No 2 (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.91114

Abstract

A flood is a natural disaster that may happen anywhere and anytime. These disasters have become an annual cycle in Indonesia, and it is important to be swift in their mitigation and control. This study aims to determine the vulnerability of flooding in Silat Hulu and the extent of the area likely to be submerged. The method used was survey and secondary interpretation data. Data was from topographic maps, Sentinel 2A images, and 10 x 10 m resolution DEM images acquired on November 21, 2021, obtained from the ALOS PALSAR imagery. Data analysis using ArcGIS 10.8, using the weighted overlay spatial analysis tool. The results showed that the study location had three flood vulnerability classes: low, medium, and high. The locations with low vulnerability classes have an area of 2,921 ha, moderate have 32,683 ha, and high have 28,208 ha. Low flood vulnerability is spread to a small extent in Nangau Luan, Nangau Lungu, and Landau Badai villages. The level of vulnerability is mostly in Nangau, Nangau Lungu, and Landau Storm. The high level of vulnerability is mainly spread in the villages of Nangau Dangkan, Blimbing, Nangau Ngeri, and Nangau Lungu. GIS and remote sensing approaches are practical tools for flood-prone maps. Furthermore, GIS-based flood vulnerability mapping and remote sensing are valuable tools for estimating flood vulnerability areas.
MANAGEMENT OF ENVIRONMENTAL ETHICS APPROACH TO STUDENTS Andrasmoro, Dony
Journal of Geography Science and Education Vol. 1 No. 2 (2019): October
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v1i2.463

Abstract

The purpose of this study was to determine the role of students in the level of awareness of environmental phenomena at the IKIP PGRI Pontianak Campus. the aim of building student awareness about the environment through Population and Environmental Education (PKLH) courses to support sustainable development. this research method is descriptive qualitative with the knowledge triangle learning approach based on interactive discussion analysis of knowledge, education and environmental innovation. the results of research by utilizing interactive discussion methods can encourage changes in students' attitudes to be orderly and respect environmental aspects by strengthening environmental ethics. The results of the learning analysis study were conducted using an out class teaching system. managing the results of the implementation of case studies and the reality of the results of theoretical studies that are implemented against the phenomenon of potential environmental problems. out class implementation building eduction of disaster mitigation management to environmental problems that focus on the phenomenon of inorganic waste. the role of the results of the study of strengthening environmental ethics in supporting student awareness with management efforts oriented towards economic, social and environmental approaches based on sustainable development.Keywords: Ethics, Environment, 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.
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.
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   
Dampak Microlearning, Motivasi Belajar, dan Dukungan Orang Tua terhadap Prestasi Akademik Siswa SMA di Jawa Barat Muhtadi, Muhamad Ammar; Priyana, Yana; Andrasmoro, Dony
Jurnal Pendidikan West Science Vol 3 No 03 (2025): Jurnal Pendidikan West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpdws.v3i03.2706

Abstract

Penelitian ini mengkaji pengaruh microlearning, motivasi belajar, dan dukungan orang tua terhadap prestasi akademik siswa SMA di Jawa. Desain penelitian kuantitatif diterapkan, melibatkan 335 siswa yang dipilih melalui sampling purposif. Data dikumpulkan menggunakan kuesioner yang diukur dengan skala Likert 1–5 dan dianalisis menggunakan SPSS versi 25 melalui statistik deskriptif, uji validitas dan reliabilitas, serta analisis regresi berganda. Hasil menunjukkan bahwa microlearning, motivasi belajar, dan dukungan orang tua masing-masing memiliki pengaruh positif dan signifikan terhadap prestasi akademik. Di antara ketiga variabel tersebut, motivasi belajar menunjukkan pengaruh terkuat, diikuti oleh microlearning dan dukungan orang tua. Secara keseluruhan, ketiga faktor tersebut menjelaskan 52,3% varians dalam prestasi akademik siswa. Temuan ini menyoroti pentingnya menerapkan strategi microlearning, memperkuat motivasi belajar siswa, dan meningkatkan keterlibatan orang tua untuk mendukung kesuksesan akademik. Studi ini berkontribusi pada praktik dan kebijakan pendidikan dengan menekankan perlunya upaya terpadu antara pendidik, orang tua, dan siswa untuk meningkatkan hasil belajar di sekolah menengah atas di Indonesia.
The Impact of Adaptive Learning Technology on Improving Students’ Concept Understanding Soelistianto, Farida Arinie; Andrasmoro, Dony; Yusriati, Yusriati; Mardiati, Mardiati; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1176

Abstract

Adaptive learning technology is an educational method that uses artificial intelligence and computer algorithms. This learning system can manage students’ interaction pattern during learning activities. The use of adaptive learning technology is able to change students from just receiving information to an active and collaborative part in the learning process. This research was conducted with the aim of improving the quality of education in Indonesia by encouraging teachers to use this technology. This research also aims to provide a better understanding of the potential and weaknesses of adaptive learning technology in improving students’ concept understanding as well as providing stronger guidance for curriculum development and better educational practices.  The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the results of the study, it can be seen that the impact of using adaptive learning technology shows that adaptive learning technology can improve the quality of education. Research shows that with the use of adaptive learning technology, it can change teaching methods, learning materials, and can find out the level of learning difficulties faced by these students. From this study, researchers can conclude that the impact of using adaptive learning technology, can improve student understanding and achievement and has the potential to improve the quality of education. with the existence of adaptive learning technology, it is able to increase student involvement and motivation in learning, so that student understanding in learning can be achieved well.