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Applying agile methods in designing an earthquake and landslide early warning system application for Android

机译:在设计适用于Android的地震和滑坡预警系统应用程序中应用敏捷方法

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Early warning system aims to avoid and reduce the risk of damage and casualties caused by natural disasters. Landslides and earthquakes are natural disasters that often occur in Indonesia. The objective of the research is to develop landslide and earthquake early warning system applications for smartphone devices with Android operating system. Current smartphone contains low cost sensors able to detect movement. Despite of less accuracy than scientific instruments, but the ubiquity of smartphone can cover larger area. Crowdsourcing the data collection also reduces the false positive rate caused by the sensor. We embed our prediction model in Android application to distinguish between earthquake and common human activity. Further, the data is sent to cloud server if predicted as earthquake. When the number of user reported the same event at the same time in certain area met the threshold, push notification then delivered to smartphone user which may have impact by the event. We use data from Sistem Informasi Kebencanaan - Longsor by Research Center for Geotechnology to develop landslide early warning system. When smartphone user entering area with highly landslide potential, the would receive notification about the area potential. This research uses Agile method to develop early warning system on Android device. Research activities are conducted in 6 (six) phases: requirement, plan, design, develop, release, track & monitor. In this paper, we described the process of design phase system that will be a guide in the next process in making the next program.
机译:预警系统旨在避免和减少自然灾害造成的人员伤亡的风险。滑坡和地震是印度尼西亚经常发生的自然灾害。该研究的目的是为具有Android操作系统的智能手机设备开发滑坡和地震预警系统应用程序。当前的智能手机包含能够检测运动的低成本传感器。尽管准确性不如科学仪器,但智能手机的普及性可以覆盖更大的区域。众包数据收集还可以减少由传感器引起的误报率。我们将预测模型嵌入Android应用程序中,以区分地震和普通人类活动。此外,如果预测为地震,则将数据发送到云服务器。当在某个区域同时报告相同事件的用户数量达到阈值时,推送通知会传递给智能手机用户,这可能会受到事件的影响。我们使用来自地质技术研究中心的Sistem Informasi Kebencanaan-Longsor的数据来开发滑坡预警系统。当智能手机用户进入具有高滑坡潜力的区域时,它将收到有关该区域潜力的通知。本研究采用敏捷方法在Android设备上开发预警系统。研究活动分六个(六个)阶段进行:需求,计划,设计,开发,发布,跟踪和监视。在本文中,我们描述了设计阶段系统的过程,该过程将作为制定下一个程序的下一个过程的指南。

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