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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Ilmu Dasar BERKALA SAINSTEK Jurnal Teknik Sipil Jurnal Teknik Sipil dan Perencanaan Jurnal Teknik Pengairan: Journal of Water Resources Engineering Rekayasa Sipil Semesta Teknika Jurnal Rekayasa Sipil dan Lingkungan Teras Jurnal U Karst Jurnal Rekayasa Sipil Jurnal Riset Rekayasa Sipil Jurnal Teknika Journal of the Civil Engineering Forum Jurnal Teknik Sumber Daya Air PEKAT : Jurnal Pengabdian Kepada Masyarakat Geosfera Indonesia
Gusfan Halik
Master Program In Civil Engineering, Department Of Civil Engineering, Faculty Of Engineering, University Of Jember, Jl. Kalimantan No. 37 Jember, 68121, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Mathematics Physics Public Health Social Sciences Transportation Other

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Journal : Geosfera Indonesia

 1 
Flash Flood Susceptibility Mapping at Andungbiru Watershed, East Java Using AHP-Information Weighted Method Devi Ratna Handini; Entin Hidayah; Gusfan Halik
Geosfera Indonesia Vol. 6 No. 2 (2021): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v6i2.24173

Abstract

Flash floods are among the most frequent natural disasters caused by heavy rain associated with a severe thunderstorm, which leads to social and economic losses in infrastructure and agriculture. Therefore, this research aims to map flash flood potential susceptibility (FFPS) in the Pekalen watershed, using Geographic Information System (GIS) technology and statistical analysis to reduce the risk of flooding. The opinion and experience of an expert on the weight assessment method were carried out using the Analytical Hierarchy Process (AHP). Furthermore, the probability statistical methods and GIS were used in flash flood areas in the Pekalen watershed in Andungbiru, Probolinggo village. This study was carried out using geomorphological factors, namely elevation, slope, stream power index, and topographic wetness index, with a resolution of 30 m. Thematic map scale of the land use, river density, distance to the river, rainfall, and geology is in the ratio of is in a ratio of 1:25.000. Imagery processing was carried out using Landsat 8 30 m x 30 m resolution imagery, such as the Normalized Difference Vegetation Index. The result showed that the model map of FFPS obtained low 8%, low 23%, moderate 27%, moderate to high 26%, high 13%, and very high 2% index values. The next stage of modeling analysis led to validation using statistic receiver operating Characteristic Curve (ROC) of area Under Curve (AUC) with a value of 90.15. In conclusion, the factors that significantly trigger flash floods are distance to the river, land use, and slope. Keywords: AHP-weighted; information content; FFSP; GIS; Geomorphology Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Rain Station Network Analysis in the Sampean Watershed: Comparison of Variations in Data Aggregation Entin Hidayah; Gusfan Halik; Minarni Nur Trilita
Geosfera Indonesia Vol. 7 No. 1 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i1.29160

Abstract

The lack of rainfall-runoff accuracy is important for some applications. The choice of data aggregation that affects the estimation results is important at the level of accuracy. Some commonly used aggregations are daily, ten days, and monthly rainfall. This study aimed to compare the results of the estimation of the effect of data aggregation and to analyze the density of the rain gauge network in the Sampean watershed. The evaluation of the rain station network is carried out through the Kagan calculation. Rainfall data are from the rainfall data records for 20 years at 33 rain gauge stations. Measurement of the performance of aggregation variations using the relationship between the correlation value of rainfall with the distance between station locations. Station network positioning is assessed from alignment errors and interpolation errors. The results showed differences in the correlation and estimation values ​​in the variation of data aggregation.The greater interval can increase the effectiveness of deployment with minimum error. Based on Kagan's analysis, there is an uneven distribution of gauge stations in the Sampean watershed eventhough the average and interpolation error in the monthly rainfall is less than 5%. It is this inequality that causes gauge stations to be inefficient. Keywords : Rain gauge network; correlation; Kagan; data aggregation Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Co-Authors Adden Ramadhan Syarif Ardi Agil Priyanto Ainunisa, Diah Angel Novita Tri lara Atica Cahyani, Hajar Crisia Devi Ratna Handini Dewi, Pratita Dian Wahyu Khaulan Dyah Ayu Intanasya Putri Entin Hidayah Faillasuf, Vide Mirza Faradella, Maulida Febriyanto, Andreyan Hajar Crisia Cahyani Hery Budi Sulaksono Joice Prasasty September Kusworowati, Eri Malini, Citra Narulita, Norma Aulia Nurul Priyantari Prabowo Prabowo Pratama, Munawir Pratita Dewi Prihantono, Gunawan Eko Putra, Victorius Setiaji Putri, Dyah Ayu Intanasya Radiah Ulil Absari Ratih, Masita Retnaningtias, Sefti Aryani Retno Utami Agung Wiyono Rizky Akbar Irhamullah Tunggal Saiful Bukhori Saifurridzal, Saifurridzal Silmi Kaaffah, Abdillah Tirta Sri Wahyuni Supeno Supeno Taqiudin Haq Tedy Pranadiarso Usaamah Hadi Windy Bana Alam Perkasa Wiwik Yunarni Wiwik Yunarni Widiarti Wulandari, Wahyu Sri Yuli Mariati Yunarni, Wiwik