Designing Open Government Data Management Platform Through the Implementation of Data Governance Based on SOA

Habibie, Khairul; Suhardi, .; Muhamad, Wardani

doi:10.1109/icitsi56531.2022.9971091

Cited by 1 publication

(3 citation statements)

References 13 publications

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“…These collection of IT services managed in a catalog. It should be emphasized that we have reported initial service catalogs in a previous study [19]. The IT services presented in Table 3 are additional services that have not been identified in previous studies.…”

Section: Decompose Process Businessmentioning

confidence: 91%

“…As reported in our previous study [19], the proposed solution is described in a multi-layer architecture, however, there are adjustments to the service layer by removing data access rights management and adding quality score and metadata management services. In summary, the architecture consists of 5 layers, namely: operational system, service component, service, business process, and customer.…”

Section: Platform Architecturementioning

confidence: 99%

“…Presentation of study results in the form of scientific papers and similar publications among experts is usually chosen as a medium of communication. The initial part of our study has been presented at international conferences and published in IEEExplore and Scopus-indexed proceedings [19].…”

Section: Communicationmentioning

confidence: 99%

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Implementation of Data Governance on the Open Government Data Management Platform to Improve Data Quality

Habibie,

Suhardi,

Muhamad

2023

IJAIT

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Currently, realizing good governance related to data disclosure in government agencies is an initiative as a manifestation of open government data. However, there are still problems with the quality of published data. As a solution, organizations need to establish policies, strategies, and initiatives for data management activities This paper proposes adding data management activities to the platform to enhance the quality of published data. As for the value of the quality of the data tested using the XYZ district budget, there is an increase in the uniqueness quality dimension from valid DQI 98.7203 to 100; the conformity quality dimension has also increased from 94.7368 to 100; the accuracy quality dimension also increased significantly from 0 to 100; integrity quality dimension increased from 66.6667 to 100. As a concern, the validity of the data is by manual checking after deleting data duplication.

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Section: Decompose Process Businessmentioning

confidence: 91%

Section: Platform Architecturementioning

confidence: 99%