TY - JOUR
T1 - Educational data quality management
T2 - Lessons learned from a public university in Indonesia
AU - Ma'mun, Syukron
AU - Hidayanto, Achmad Nizar
AU - Alwadain, Ayed Said
AU - Inan, Dedi Iskandar
AU - Paoprasert, Naraphorn
N1 - Funding Information:
This study was supported by PIT9 Research Grant No. NKB-0005/UN2.R3.1/HKP.05.00/ 2019 Universitas Indonesia.
Publisher Copyright:
Copyright © 2021 Inderscience Enterprises Ltd.
PY - 2021
Y1 - 2021
N2 - The researchers conducted this study at one of the faculties in a public university in Indonesia. The purpose of this study was to evaluate the data quality of the human resource information system (HRIS). The data was analysed based on the Ministry of Research, Technology, and Higher Education Regulation, No. 16, 2016. This study began with a questionnaire to determine the maturity level of the data quality management. Then, to determine whether the HRIS criteria could be measured, the researchers conducted interviews. Based on the analysis, the researchers found that the agreement between the HRIS application and the criteria measures was 36.5% for completeness, 69.5% for validity, and 14.3% for the accuracy dimensions. The last dimension, novelty, could not be determined as no information was available on data change time. The researchers suggested that the faculty need to implement data quality management.
AB - The researchers conducted this study at one of the faculties in a public university in Indonesia. The purpose of this study was to evaluate the data quality of the human resource information system (HRIS). The data was analysed based on the Ministry of Research, Technology, and Higher Education Regulation, No. 16, 2016. This study began with a questionnaire to determine the maturity level of the data quality management. Then, to determine whether the HRIS criteria could be measured, the researchers conducted interviews. Based on the analysis, the researchers found that the agreement between the HRIS application and the criteria measures was 36.5% for completeness, 69.5% for validity, and 14.3% for the accuracy dimensions. The last dimension, novelty, could not be determined as no information was available on data change time. The researchers suggested that the faculty need to implement data quality management.
KW - Data quality management
KW - Data quality management maturity level
KW - Educational data
KW - Indonesia
KW - Learning and innovation data quality
KW - TDQM
KW - Total data quality management
UR - http://www.scopus.com/inward/record.url?scp=85113729776&partnerID=8YFLogxK
U2 - 10.1504/IJIL.2021.117234
DO - 10.1504/IJIL.2021.117234
M3 - Article
AN - SCOPUS:85113729776
SN - 1471-8197
VL - 30
SP - 201
EP - 219
JO - International Journal of Innovation and Learning
JF - International Journal of Innovation and Learning
IS - 2
ER -