N. Setyasaputra, Suhardi, Riyan Mahendra Saputra, Wardani Muhamad
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引用次数: 0
摘要
信息技术的使用正迅速成为组织活动,特别是数据管理活动的主要支持。例如,遥感卫星数据管理是必不可少的,特别是在地面站。其中之一是帕帕雷地面站,它在提供数据以满足印度尼西亚国家数据可持续性方面发挥着重要作用。目前,地面站的数据管理采用信息系统,但地面站的数据管理仍处于孤岛状态,无法相互通信,处于同步状态。因此,遥感地面站数据管理活动的发展具有重要意义。因此,在该活动中需要进行面向服务的信息技术设计,利用面向服务的平台来确定系统运行与用户需求之间存在的差距。因此,采用服务计算系统工程(Services Computing Systems Engineering, SCSE)框架设计面向服务的遥感地面站数据管理平台模型。采用面向服务的体系结构(Service-oriented Architecture, SOA)方法验证的遥感地面站数据管理平台模型的耦合因子值为0.0057(松耦合),内聚因子值为0.8145(高内聚),复杂性因子值为0.0070(不复杂),可重用因子值为2.5833(可重用)。
Designing Service-oriented Platform for Remote Sensing Ground Station Data Management
The use of information technology is increasing rapidly becoming the main support in organizational activities, especially in data management activity. Remote Sensing Satellite Data Management, for example, is indispensable especially at ground stations. One of them is the Parepare Ground Station which has an important role in producing data to meet the sustainability of national data availability in Indonesia. Currently, data management for ground station uses an information system, but they are still in silos, so they cannot communicate with each other and are in sync. So that remote sensing ground station data management activities are important to be developed for the better. Therefore, design of service-oriented information technology in this activity is needed to determine the gaps that exist between the running system and the needs of users by using Service-oriented Platform. Therefore, Service-oriented Platform is designed using Services Computing Systems Engineering (SCSE) Framework for remote sensing ground station data management platform model. Remote sensing ground station data management platform model validated using Service-oriented Architecture (SOA) approach has coupling factor value of 0.0057 (loosely coupled), cohesion factor value of 0.8145 (high cohesion), complexity factor of 0.0070 (not complex), and the value of reusability factor of 2.5833 (reusable).