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Data Quality Management Evaluation: A Case Study at the BPS-Statistics of Kaur Regency Bengkulu Province

机译:数据质量管理评价:哈尔库鲁省鹿楼省BPS统计的案例研究

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The BPS-Statistics of Kaur Regency is a work unit under the BPS-Statistics of the Republic of Indonesia which is responsible for carrying out statistical activities in the regency area and contributes a large role in the effort of improving data quality of each survey or census before being published to the public. In the implementation of the National Socio-Economic Survey conducted by the organization in the first semester of 2019, it was found incompleteness, inconsistency, and inaccuracy during data entry in the application. Likewise, post entries are still found inconsistencies and inaccuracies. To overcome this problem, an evaluation of the maturity level of data quality management using Loshin's Data Quality Management was done. The results obtained indicate that the maturity level is in the range of 2 to 3. Four out of eight dimensions have not met the expected targets, namely expectations of data quality, data quality protocols, data standards, and technology. In addition, to supplement the result, measurement using European Statistical System framework indicates that the total score achieved is 5.7 of the expected target of 9.4. Further, from the results of this study, the recommendation for improving data quality were compiled.
机译:Kaur Regency的BPS统计数据是根据印度尼西亚共和国BPS统计的工作单位,负责在加工区进行统计活动,并在提高每项调查或人口普查的数据质量的努力中促进大量作用在发布到公众之前。在执行本组织于2019年第一学期的国家社会经济调查的实施中,在申请中的数据条目期间发现了不完整,不一致和不准确性。同样,帖子条目仍然发现不一致和不准确。为了克服这个问题,完成了利用洛辛的数据质量管理的数据质量管理的到期水平的评估。获得的结果表明,到期水平在2到3的范围内。四个维度中的四个缺货尚未达到预期的目标,即对数据质量,数据质量协议,数据标准和技术的期望。此外,为了补充结果,使用欧洲统计系统框架的测量表明,所达到的总分是9.4的预期目标。此外,从本研究结果中,编制了提高数据质量的建议。

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