Flood is one of the most frequent hydrometeorological disasters which leads in economic losses. The first step in flood disaster mitigation efforts is mapping vulnerable areas. Kencong District frequently affected by the annual flooding event. This study aims to assess flood hazard mapping by integrating the AHP method and Geographic Information System. This study used a descriptive quantitative approach through the correlation matrix of the AHP model for each physical environmental factor. These factors include slope, altitude, distance from the river, soil type, Topographic Wetness Index (TWI), and Curvature. Furthermore, with the Geographic Information System (GIS), the weighted overlay stage was carried out to obtain the results of flood-prone areas. Based on the AHP analysis, the most significant factors in determining flood-prone areas were the distance from rivers, slopes, and TWI. The results of flood-prone areas mapping were divided into five classes: from deficient 0.02%, low 4.26%, medium 37.11%, high 51.89%, and very high 6.72%. Validation of GIS mapping results with data in the field has an AUC value of 84%, which indicates that the prediction of the AHP-GIS model is perfect in flood-prone areas mapping in the Kencong District. The integration of AHP method and Geographic Information System in flood hazard assessment were able to produce a model to evaluate the spatial distribution of flood-prone areas. Keywords : Flood Hazard Mapping; Multi-criteria decision analysis; AHP Model; GIS; Jember 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
Poverty is one of the problems in the economy and environment that must be resolved immediately. The factors that influence poverty are population growth, economic growth, and unemployment. This observation aims to find out the relation of environment, population growth, economic growth, and unemployment on the level of poverty in Maesan Subdistrict, Bondowoso Regency. The data in this observation is secondary data obtained from the Central Bureau of Statistics of Bondowoso Regency. The results of this observation indicate that in comparison the variables of population growth, economic growth, and unemployment, have a significant effect on the level of poverty and environment in Maesan District, Bondowoso Regency. According to the data we obtain from the field between the influence of population growth, the economy and unemployment on average the rate of growth is slow and the people are still quite backward, still need more attention for environment effect and there are concrete actions for the development of the Maesan region. Therefore the government's encouragement is very important to promote the community in Maesan District, Bondowoso Regency. Keywords: Population Growth, Maesan, Unemployment References Basri, Faisal H. 1998. Indonesian Economy Ages in the XXI Century, Distortion, Opportunities and Constraints. Jakarta: Erlangga. Boediono. 1993. Microeconomics. Yogyakarta: BPFE. Ellies S. 1994. The Dimension of Poverty. Jakarta: Kumarien Press Komariyah, Ani. 2013. Analysis of Several Factors Affecting Fishermen's Income: Case Study in Tembokrejo Village, Muncar District, Banyuwangi Regency. Jember: University of Jember Prawoto, Nano. 2005. "Understanding Poverty and Handling Strategy ". Journal of Economics and Development. Vol. 6 No. 1. FE UMY Simanjuntak, P. 1998: Introduction to FEUI's Human Resource Economics. Sukirno, Sadono. 1992. Introduction to Macroeconomics. Jakarta: LPFI-Press. Widarjono, A.2013. Econometrics Theory and Application. Yogyakarta: Econisia.
Jember regency has several areas that are morphology of folding hills and mountain folds. The part of landslide prone zone is closely related to the slope of the slope. Areas with a sloping slope of more than 15º need attention to the possibility of a landslide disaster. Interconnection contacts with weathering of rocks, settlements and land cover also affect the landslide potential. The existence of Ijen Volcano that produces volcanic rock deposits that are generally not yet unified will increase the potential for landslides in Jember Regency. Landslide has occurred one of them on Gunung Gumitir Street which is the main route of Surabaya-Jember-Banyuwangi traffic. In May 2016 this street is hit by landslide, so the flow of traffic through this lane is paralyzed and must be diverted to a further path, which rotates to Situbondo City. The transfer of this pathway resulted in a loss to the local community and who crossed the path.The occurrence of landslide disaster shows that Jember Regency area is vulnerable and potentially return to landslide. Therefore there is a need for a solution to solve this problem. One solution to solve the problem is by utilizing Geographic Information System (GIS) application. The purpose of this research is to analyze zonation prone to landslide in jember district. The design of the research is Geographic Information System overlay analysis. This design combines several parameters in the determination of landslide-prone zones. This design combines several parameters in the determination of landslide-prone zones. The parameter used in this research is (1) land use, (2) topography, and (3) soil.Based on the research results, it can be known zone with highest to lowest vulnerability level. Zone with very high level of vulnerability is located in Panti sub-district, Sumberbaru, Sukorambi, Dyke, Silo and Jelbuk. The zones have similar characteristics that include (1) soil type of andosol, (2) clay texture, (3) uncompacted rock, (4) slope of 30⁰-40⁰ (steep and very steep), and (5) land use for settlements and plantations. Keyword: landslide disaster, jember regency, Geographic Information System
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.