STATISTICAL METADATA MANAGEMENT SERVICE COMPUTATION SYSTEM ENGINEERING BASED ON MICROSERVICES ARCHITECTURE
Data has importnt roles in development planning and evaluation process. BPS – Statistics Indonesia as a non-ministrial institution that assigned as a national statistics coordinator always tries to actualize high quality data. One of the elements that have to be considered to do so is metadata ma...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/25285 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Data has importnt roles in development planning and evaluation process. BPS – Statistics Indonesia as a non-ministrial institution that assigned as a national statistics coordinator always tries to actualize high quality data. One of the elements that have to be considered to do so is metadata management. Metadata management is an overarching process through all phase of statistics activity.Metadata will be created, used, or reused in each phase. Good metadata management will create high quality statistical data because it will assist in reducing duplication and inconsistency among statistical activity. BPS has not implemented standardized metadata management. This leads to the needs to develop a metadata system that meets the principles of good metadata management. The designed system will use the microservices architecture in its development, to support the needs needed at each stage of statistical activities.
The objective of this research is to design and develop a statistical metadata service computing system. This system will serve the creation and us of metadata in every phase of statistical activity.. This research is conducted based on Service Computing System Engineering Framework that provide comprehensive engineering steps in developing a service computing system. The engineering steps in this research will be conducted up to development phase.
The results show that service computing systems can be engineered using the framework. The test results show the system design meets the principle of serviceoriented systems which are shown by small coupling factors, high cohesion metrics, high reusability, and low complexity. The prototype was developed based on a validated design. The test results on the prototype indicate that unit testing and composite testing are able to provide the expected results. While the User Acceptance Test shows that the prototype is able to meet user needs. <br />
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