Hi #SahabatData in the previous broadcast, remember that #Statmin has discussed the principles of quality assurance by level along with examples of their implementation in the quality assurance framework. Well, now #Statmin will explain the dimensions of quality in QAF.
The first quality dimension to be discussed is relevance. #SahabatData needs to know that relevance has more to do with the relationship between statistical institutions and data users. This dimension of relevance shows the extent to which statistical output produced by statistical institutions can meet the needs of data users.
For this reason, it is necessary to identify who the data users are and what their needs are, and this is reflected in the statistical activity program. This identification is also useful for developing statistics using existing data or new data sources. Of course, this is done to answer the needs of data users.
After the needs of data users have been identified, their level of satisfaction also needs to be measured regularly so that statistical institutions know what things need to be maintained and improved in meeting the satisfaction of data users' needs. BPS conducts a survey, you know #SahabatData, called the Data Needs Survey (SKD), to realize this dimension of relevance quality.
How about #SahabatData, hopefully #Statmin's explanation of the relevance quality dimension can be understood. See you on the explanation of the other dimensions of quality next week.
#NQAF
