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All Journal Indonesian Journal of Geography Forum Geografi Edukasi: Jurnal Pendidikan Sosial Horizon: Jurnal Pendidikan Sosial PAEDAGOGIA JURNAL SWARNABHUMI GERVASI: Jurnal Pengabdian kepada Masyarakat Journal of Geography Science and Education El-Jughrafiyah : Jurnal Geografi dan Terapannya HISTORIA: Jurnal Program Studi Pendidikan Sejarah GeoEco
Eviliyanto Eviliyanto, Eviliyanto
IKIP PGRI Pontianak
Arts Humanities Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : GeoEco

 1 
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. 
Co-Authors Ajun Purwanto Andrasmoro, Dony - Arif Rohman Ayu Rianingsih Ayu Rianingsih Billy, Jonatan Dony Andrasmoro Endah Evy Nurekawati Endah Evy Nurekawati Florensia Rentia Florensia Rintia Francista Francista Francista Francista Gultom, Tigor Monang Holifah Nurfitri Holifah Nurfitri M. Aruna M. Aruna M. Aruna, M. Aruna Mohd Hairy Ibrahim Nurul Ramdhania Paiman Purmintasari, Yulita Dewi Rika Anggela, Rika Rina Rina Rosanti, Rosanti Rosanti, Rosanti RR. Ella Evrita Hestiandari Rustam -, Rustam Suwarni Suwarni