TY - GEN
T1 - Data Quality Improvement Strategy for the Certification of Telecommunication Tools and Equipment
T2 - International Conference on Computer, Communication and Computational Sciences, IC4S 2019
AU - Puspitaningrum, E. A.
AU - Aji, R. F.
AU - Ruldeviyani, Y.
N1 - Funding Information:
Acknowledgements This study was funded by Universitas Indonesia (under the PIT 9 Grant 2019 of “Optimization of Digital Business Contribution trough Platform-based Project Management Model” (No: NKB0014/UN2.R3.1/HKP.05.00/2019). The authors declare that they have no conflict of interest. This chapter contains the interviews of participants. Informed consent was obtained from all individual participants included in the study.
Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - The problem based on the findings of the Supreme Audit Agency (BPK) on licensing performance checks at the Ministry of Communication and Information Technology (KOMINFO) is that the certification data of telecommunication tools and equipment in the e-certification information system database is incomplete, inaccurate, and invalid in supporting equipment and equipment certification services telecommunication. Based on these conditions, the level of maturity of data quality management is measured. The measurement of the level of maturity of data quality management is carried out using the Modelo Alarcos de Mejora de Datos (MAMD) 2.0 framework. The result of measurement data quality maturity level is level 1, while the expected level is level 2. The strategy to improve the quality of certification data for telecommunication tools and equipment is prepared based on an analysis of the causes of data problems, gaps in the current condition of quality data management and expectations, and regulations related to data governance. The recommendations produced are grouped into eight data discipline points that need to be implemented by the Directorate of Standardization agreeing to reach the desired level of data quality management maturity. Eight points of data discipline are data requirements management, technology infrastructure management, configuration management, historical data management, data security management, data quality control and control, data life cycle management, as well as standard resolutions, policies, and procedures.
AB - The problem based on the findings of the Supreme Audit Agency (BPK) on licensing performance checks at the Ministry of Communication and Information Technology (KOMINFO) is that the certification data of telecommunication tools and equipment in the e-certification information system database is incomplete, inaccurate, and invalid in supporting equipment and equipment certification services telecommunication. Based on these conditions, the level of maturity of data quality management is measured. The measurement of the level of maturity of data quality management is carried out using the Modelo Alarcos de Mejora de Datos (MAMD) 2.0 framework. The result of measurement data quality maturity level is level 1, while the expected level is level 2. The strategy to improve the quality of certification data for telecommunication tools and equipment is prepared based on an analysis of the causes of data problems, gaps in the current condition of quality data management and expectations, and regulations related to data governance. The recommendations produced are grouped into eight data discipline points that need to be implemented by the Directorate of Standardization agreeing to reach the desired level of data quality management maturity. Eight points of data discipline are data requirements management, technology infrastructure management, configuration management, historical data management, data security management, data quality control and control, data life cycle management, as well as standard resolutions, policies, and procedures.
KW - Data quality management
KW - MAMD
KW - Maturity of data quality management
KW - Telecommunication
KW - Tools and equipment certification data
UR - http://www.scopus.com/inward/record.url?scp=85096498270&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-4409-5_70
DO - 10.1007/978-981-15-4409-5_70
M3 - Conference contribution
AN - SCOPUS:85096498270
SN - 9789811544088
T3 - Advances in Intelligent Systems and Computing
SP - 779
EP - 794
BT - Advances in Computer, Communication and Computational Sciences - Proceedings of IC4S 2019
A2 - Bhatia, Sanjiv K.
A2 - Tiwari, Shailesh
A2 - Ruidan, Su
A2 - Trivedi, Munesh Chandra
A2 - Mishra, K. K.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 11 October 2019 through 12 October 2019
ER -