血液库信息系统的设计使用了NoSQL数据库

Rian Fatoni Tri Wicaksono, Erna Kumalasari Nurnawati, Renna Yanwastika Ariyana
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引用次数: 1

摘要

通过社区开展的系统存在血液交换交易过程,导致大规模存储和管理数据,现在正在日惹血库管理人员的可扩展性方面造成问题。PMI单位和医院随时进行血液交易的过程,使得血库系统中的关系结构更加复杂。事实上,日惹的每个PMI单位和医院都需要实时数据收集和存储过程,因为血液交易的流动性几乎每天24小时都在进行。使用非关系数据库模型实现信息系统,是简化数据关系中的关系结构过程中的一种替代方法,这是因为非关系数据库使用NoSQL数据库模型,该模型提供了对数据库速度的支持,使其保持最佳状态。在进行的研究中,创建了一个信息系统,该系统将非关系数据库模型应用于血库信息系统的案例研究。其中NoSQL数据库因其高性能和与实时数据存储和检索过程无关而适用于血库系统。通过研究,开发了一个血库信息系统,使用Firebase数据库,该系统可以显示数据库中的一些数据,如查看血液库存、医院、献血者事件和其他实时进行的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perancangan Sistem Informasi Bank Darah Menggunakan Basis Data NoSQL
The existence of a blood exchange transaction process through a system carried out by the community, causing storing and managing data on a large scale is now causing problems in terms of scalability for blood bank managers in Yogyakarta. The process of blood transactions carried out by PMI units and hospitals at any time, makes the structure of relations in the blood banking system more complicated. In fact, every PMI unit and hospital in Yogyakarta requires a real-time data collection and storage process, considering that access to mobility of blood transactions is carried out almost 24 hours a day. Implementing an information system using a non-relational database model, is an alternative in the process of simplifying the relational structure in data relationships, this is because the non-relational database uses a NoSQL database model that provides support for database speed so that it remains optimal. In the research conducted, an information system was created that applied a non-relational database model to a case study of a blood bank information system. Where the NoSQL database is suitable for blood bank systems because it has high performance and is non-relational with real-time data storage and retrieval processes. The research conducted resulted in a blood bank information system that was developed using the Firebase database, where this system can display some data from the database such as viewing blood stocks, hospitals, blood donor events, and other information that is carried out in real time.
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