Open AccessData Quality Assessment on Lecturer Primary Data: A Case Study on Higher Education Database at Ministry of Education and Culture Republic of Indonesia
Author(s) -
Rizky T. Prasetyo,
Yova Ruldeviyani,
Editha D. Purnamasari,
Apriliana F. Wibowo
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1077/1/012036
Subject(s) - data quality , computer science , quality (philosophy) , database , scope (computer science) , quality policy , qualitative property , data management , data governance , data science , quality assurance , knowledge management , engineering , external quality assessment , operations management , metric (unit) , philosophy , epistemology , machine learning , programming language
The quality of an organization’s data is an important component that can influence various policies taken in technical and strategic terms. This study aims to analyze the quality of basic data for lecturers on resource information systems whose data is integrated with the Higher Education Database (PDDikti). Measurement of data quality based on the rules that have been set in the main unit of higher education data management which is then determined in this study includes 4 dimensions of data quality, namely completeness, validity, accuracy, and currency. The application of quantitative methods by processing data and then analyzing the quality of the data using qualitative methods based on the dimensions that have been determined for the basic data quality assessment for lecturer in every tertiary institution in Indonesia. The results showed that the quality of the data had been resolved by 91.94% so that it can be used as a basis for decision making according to predetermined standards. The results of this data quality research can be used as supporting information in policy making in terms of developing and improving data quality in the scope of higher education, especially those related to the quality of basic data for lecturers.