Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

Data Quality Management Evaluation: A Case Study at the BPS-Statistics of Kaur Regency Bengkulu Province

Authors
Rela SABTIANA, Indra BUDI, Yova RULDEVIYANI
Corresponding Author
Rela SABTIANA
Available Online 6 May 2020.
DOI
10.2991/aisr.k.200424.009How to use a DOI?
Keywords
data, data quality, Data Quality Management, maturity
Abstract

The BPS-Statistics of Kaur Regency is a work unit under the BPS-Statistics of the Republic of Indonesia which is responsible for carrying out statistical activities in the regency area and contributes a large role in the effort of improving data quality of each survey or census before being published to the public. In the implementation of the National Socio-Economic Survey conducted by the organization in the first semester of 2019, it was found incompleteness, inconsistency, and inaccuracy during data entry in the application. Likewise, post entries are still found inconsistencies and inaccuracies. To overcome this problem, an evaluation of the maturity level of data quality management using Loshin’s Data Quality Management was done. The results obtained indicate that the maturity level is in the range of 2 to 3. Four out of eight dimensions have not met the expected targets, namely expectations of data quality, data quality protocols, data standards, and technology. In addition, to supplement the result, measurement using European Statistical System framework indicates that the total score achieved is 5.7 of the expected target of 9.4. Further, from the results of this study, the recommendation for improving data quality were compiled.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
Series
Advances in Intelligent Systems Research
Publication Date
6 May 2020
ISBN
978-94-6252-963-2
ISSN
1951-6851
DOI
10.2991/aisr.k.200424.009How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rela SABTIANA
AU  - Indra BUDI
AU  - Yova RULDEVIYANI
PY  - 2020
DA  - 2020/05/06
TI  - Data Quality Management Evaluation: A Case Study at the BPS-Statistics of Kaur Regency Bengkulu Province
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 58
EP  - 66
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.009
DO  - 10.2991/aisr.k.200424.009
ID  - SABTIANA2020
ER  -