D-Loc Apps:一款基于社交媒体平台的洪水灾害定位应用

D. Fitrianah, D. Jatikusumo, Ida Nurhaida
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引用次数: 5

摘要

本研究的目的是开发一种灾害定位探测器应用程序,特别是发生在印度尼西亚雅加达地区的洪水。根据twitter用户更新的社交媒体数据,搜索查询是由其用户使用关键字“seputaran banjir”(印尼语)与确定词搜索的基于位置的服务功能相结合进行的。创建此应用程序的方法是使用重复和增量开发过程方法的极限编程。通过使用有关雅加达地区的twitter状态数据,这款应用程序已经成功开发,结果可以以twitter状态更新的形式显示,其中包含有关洪水的单词。洪水位置验证的搜索结果是坐标,这是通过检查每次更新数据的地理空间信息的可用性来完成的。在所有位置搜索结果中,搜索结果的平均准确率为83.7%。
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D-Loc Apps: A Location Detection Application Based on Social Media Platform in the Event of A Flood Disaster
The purpose of this research is to develop a disaster location detector application, specifically about flood that happens in the area of Jakarta, Indonesia. According to social media data updated by the users of twitter, search inquiry is done by its users with the keyword 'seputaran banjir' (in Bahasa Indonesia) which is combined with the Location Based Service function of the determined word search. The method in creating this application is Extreme Programming that uses repetitive and incremental development process approach. By using twitter status data about Jakarta's area, this application has been successfully developed and the result can be shown in the form of twitter status updates from its users that contain words about flood. The search results of flood location validation are coordinates, which are done by checking the availability of the geospatial information from each update of the data. The average accuracy of the search result is 83.7% out of all the location search results.
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