@inproceedings{26ff216cad0b4844912008dd69c6f4ab,
title = "Data Quality Management Strategy to Improve the Quality of Worker's Wage and Income Data: A Case Study in BPS-Statistics Indonesia, 2018",
abstract = "Data quality was a problem for professionals and academics in their research. The issues of poor data quality will harm the organization's business. Based on the quality target of social statistics in the strategic plan of BPS-Statistics Indonesia in 2015-2019 and worker's wage and income data from the Survey of Data Requirement (SKD) in 2017, there is 59 percent gap between expectations and realization of data quality satisfaction. Therefore, the assessment of the data quality management maturity model is important because it will be the basis for making recommendations to improve data quality. The framework used in this study is the data quality framework by David Loshin and DQM DMBOK. Overall, the average of data quality maturity level is still at level 3 (defined). From the results of the data quality maturity level, a list of characteristic gaps that have not been implemented is obtained. The results of the gap mapping get several DQM activities based on DMBOK. This activity is described as several strategy recommendations for improving the quality of worker's wage and income data.",
keywords = "Data Quality Management, DMBOK, DQM, Loshin's framework",
author = "Rahmawati, {Sinta Denovi} and Yova Ruldeviyani",
year = "2019",
month = oct,
doi = "10.1109/ICIC47613.2019.8985803",
language = "English",
series = "Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019",
address = "United States",
note = "4th International Conference on Informatics and Computing, ICIC 2019 ; Conference date: 23-10-2019 Through 24-10-2019",
}