Prototype Decision Support System To Detect Disaster Prone Areas With Saw Method (Tanggamus District Case Study)

T. Susilowati, Nurzaman ., A. Maseleno, W. D. Saputra
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引用次数: 1

Abstract

Most of Tanggamus regency is a disaster-prone area, such as floods, landslides, earthquakes, and so on. To determine the area that is really potentially catastrophic is something complicated and the determination process there are many errors, because the determination process is based on subjectivity. In this case it is most likely that the area that is really potential for disaster does not enter into the territory prioritized by the government to be given socialization of insights about disasters or reduce the risk of disasters. This paper discusses the Simple Additive Weighting (SAW) method that can be used in determining disaster-prone areas in Tanggamus Regency. The area to be designated as a disaster-prone area has criteria that have been set. Criteria needed include: Flood disaster data, landslide disaster data, earthquake disaster data, tsunami disaster data, and fire disaster data. The result of this system is a list of disaster-prone areas that comply with the criteria specified as areas of special attention from local governments.
基于Saw方法的灾害易发地区决策支持系统原型研究(以唐格玛区为例)
唐家母摄政的大部分地区是一个灾害多发地区,如洪水、山体滑坡、地震等。确定真正具有潜在灾难性的区域是一件复杂的事情,而且确定过程有很多错误,因为确定过程是基于主观性的。在这种情况下,最有可能发生灾害的地区没有进入政府优先考虑的领域,以获得有关灾害的社会化见解或降低灾害风险。本文讨论了简单加性加权法(Simple Additive Weighting, SAW)在唐加木斯县确定灾害易发区中的应用。将被指定为灾害易发区的地区已经制定了标准。所需的标准包括:洪水灾害数据、滑坡灾害数据、地震灾害数据、海啸灾害数据和火灾灾害数据。这一制度的结果是,根据地方政府指定的特别关注地区的标准,列出了容易发生灾害的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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