Automated Data Integration of Biodiversity with OLAP and OLTP

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. Vatresia, Asahar Johar, F. P. Utama, S. Iryani
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引用次数: 0

Abstract

Biodiversity is one of emerging issue over decades; many have performed research to map and to document the data over the world. This issue is very important due to the event of extinction have been accelerating happening because of human extinction. Bengkulu, as one of the province lied in one of 19 hotspots in the world, Sundanese, has experienced the degradation of flora and fauna over the case of forest degradation and habitat loss. Although many application and software has been developed to solve the case, the existences of data standardization still become an issue over this problem. In this research, study of data integration had been developed to make the process of biodiversity data acquisition can be more effective and efficient. The system proposed the integration based on OLAP and OLTP that will be connected to IUCN, as one of the biggest center for monitoring the loss of biodiversity all around the world. This application had been built with web based using UML design and followed SDLC to provide the best fit of the need. This research had also succeeded to build the automated integration to show the record of dynamic number over biodiversity existences in Bengkulu. The application had been tested using black box and has the perfect performance (100%) over the testing that can help the monitoring process over biodiversity data.
基于OLAP和OLTP的生物多样性自动化数据集成
生物多样性是几十年来不断出现的问题之一;许多人进行了研究,绘制并记录了世界各地的数据。这个问题是非常重要的,因为灭绝事件已经加速发生,因为人类灭绝。Bengkulu作为世界上19个热点之一的Sundanese省之一,在森林退化和栖息地丧失的情况下经历了动植物的退化。尽管已经开发了许多应用程序和软件来解决这个问题,但数据标准化的存在仍然成为这个问题的一个问题。为了使生物多样性数据采集过程更加有效和高效,本研究开展了数据集成研究。该系统提出了基于OLAP和OLTP的整合,并将与世界上最大的生物多样性丧失监测中心之一IUCN连接。这个应用程序是用基于web的UML设计和SDLC来构建的,以提供最适合的需求。本研究还成功地建立了自动集成系统,以显示蚌埠市生物多样性存在动态数量的记录。该应用程序已经过黑箱测试,测试性能达到100%,可以帮助生物多样性数据的监测过程。
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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来源期刊
African Journal of Information Systems
African Journal of Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
14.30%
发文量
0
审稿时长
30 weeks
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