Educational data quality management: Lessons learned from a public university in Indonesia

Syukron Ma'mun, Achmad Nizar Hidayanto, Ayed Said Alwadain, Dedi Iskandar Inan, Naraphorn Paoprasert

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)201-219
Number of pages19
JournalInternational Journal of Innovation and Learning
Issue number2
Publication statusPublished - 2021


  • Data quality management
  • Data quality management maturity level
  • Educational data
  • Indonesia
  • Learning and innovation data quality
  • TDQM
  • Total data quality management


Dive into the research topics of 'Educational data quality management: Lessons learned from a public university in Indonesia'. Together they form a unique fingerprint.

Cite this