Android-Based Geolocation Technology on a Blood Donation System (BDS) Using the Dijkstra Algorithm

S. Ahdan, Setiawansyah Setiawansyah
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引用次数: 17

Abstract

Blood transfusion is an activity that is often carried out in order to save human life. The availability of appropriate bloodstock is crucial for use during special medical conditions. Therefore, the blood collection center must ensure availability; therefore, it needs to recruit active blood donors, difficult patients to find blood stocks, which will be discussed in this study. The contribution of this research is to design an information system that can find blood donors in the Bandar Lampung area with geolocation technology and use the Dijkstra algorithm to determine the closest route, with a system developed on the Android platform. The system can recommend donors to patients who need blood according to the patient's qualifications. Results obtained are an android-based mobile application that can search for geolocation-based blood donors using the Dijkstra algorithm, which can map the location of the nearest blood donor based on the patient's location. Based on data obtained from the results of system testing on functionality and usability, the system can map the location of blood donors and provide blood donor recommendations for patients in need. System testing is carried out using the ISO 9126 standard using the usability aspect, which consists of four test characteristics: the understanding aspect, the learning aspect, the ability aspect, and the operability aspect, and the attractiveness aspect.
基于android的Dijkstra算法的献血系统(BDS)定位技术
输血是一项经常为挽救生命而进行的活动。在特殊医疗条件下使用合适的血液是至关重要的。因此,采血中心必须保证可用性;因此,需要招募活跃的献血者,患者很难找到血液储备,这将在本研究中讨论。本研究的贡献在于设计了一个信息系统,利用地理定位技术在班达楠榜地区找到献血者,并使用Dijkstra算法确定最近的路线,该系统是在Android平台上开发的。该系统可以根据患者的资格向需要血液的患者推荐献血者。获得的结果是一个基于android的移动应用程序,可以使用Dijkstra算法搜索基于地理位置的献血者,该算法可以根据患者的位置绘制最近的献血者的位置。根据从系统功能和可用性测试结果中获得的数据,该系统可以绘制献血者的位置,并为有需要的患者提供献血者建议。系统测试采用ISO 9126标准,采用可用性方面进行,可用性方面包括四个测试特征:理解方面、学习方面、能力方面、可操作性方面和吸引力方面。
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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