Designing statistical data processing system platform based on SOA
Rini Priantari, Suhardi Suhardi, Novianto Budi Kurniawan · 2018
The use of technology has a big role, especially to support data processing activities in organizations. Data processing is a series of actions or operations that transform data into quality information, namely relevant, accurate and timely information. BPS as a statistical organization is responsible for providing quality statistical data and information. This can be realized by standardized, effective and efficient data processing. In statistical organizations, data processing is one of the business functions of statistical activities. The technology that can be used in integration and standardization is the platform. The data processing platform in this study is software that provides the foundation for services or related functions in the data processing process. The consideration of developing data processing platforms is the need for integration and standardization of statistical activity data processing. In this study, the platform will be designed to serve the SCSE system which can guarantee the alignment of services and IT service needs. Furthermore, the design will be evaluated based on SOA principles. Based on the results of the design evaluation that has been produced, the value of the coupling factor is 0.0051 and the cohesion factor is 0.923. This value indicates that the design of data processing platforms is in accordance with SOA principles, namely loosely coupling and high cohesion.