Educational data quality management: lessons learned from a public university in Indonesia Online publication date: Tue, 24-Aug-2021
by Syukron Ma'mun; Achmad Nizar Hidayanto; Ayed Said Alwadain; Dedi Iskandar Inan; Naraphorn Paoprasert
International Journal of Innovation and Learning (IJIL), Vol. 30, No. 2, 2021
Abstract: 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.
Online publication date: Tue, 24-Aug-2021
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com