Designing Service Computing Platform for Statistical Project Management Based on SOA
Yunofri, Suhardi Suhardi, Novianto Budi Kurniawan · 2018
Statistical are identical to conducting surveys. The process of conducting a survey is still not in accordance with the stages of planning, so that the impact on business processes is not maximized from the entire survey. The implementation of the project management system in statistical is expected to improve the control function in the survey. As information technology develops, service concepts can improve project management systems. Project management services make every component in project management work effectively and efficiently. Project management services develop in the addition of features, technology and resources. So there needs to be a system that can accommodate these needs by having functions that can be expanded. The service computing platform is the answer to this problem. A service computing platform is an architecture designed to support the process of preparing web services, and can provide tools and techniques for modeling, simulating, analyzing, planning, providing and monitoring service-oriented applications in real time. This platform can also be used as a basis for implementing various surveys. Statistics Indonesia (SI) needs to make improvements in conducting surveys. In line with the increasing quality of data produced by SI, it is necessary to develop a service computing platform for statistical project management. This study proposes a service computing platform using the Service Computing System Engineering (SCSE) methodology. After getting the service computing platform design, the proposed design is evaluated. Design evaluation is measured by Coupling Factor 0.0034 (loose coupling), Cohesion Factor 0.9198 (high cohesion), Complexity Factor 0.00368 (low complexity) and Reusability Factor 5.28571 (reusable) indicating that the design value is quite good.