Data Quality Management in Educational Data
A Case Study of Statistics Polytechnic
Keywords:
Data quality management, data quality management maturity, higher education data
Abstract
Every varsity in Indonesia is responsible for ensuring the completeness, the validity, the accuracy, and the currency of its educational data. The educational data is used for implementing higher-education quality assurance system and formulating policies related to universities and majors in Indonesia. Data quality assessment result indicates that educational data in Statistics Polytechnic did not meet completeness, validity, accuracy, and currency criteria. Data quality management maturity has been measured using Loshin’s Data Quality Maturity Model which result is in level 1 to level 2 of maturity. Only the data quality dimensions component has achieved the expected target. Thus, recommendations have been proposed based on the DAMA-DMBOK framework. The activities needed to be carried out are developing and promoting awareness of data quality; defining data quality requirements; profiling, analyzing, and evaluating data quality; define business rules for data quality, establish, and evaluate the data quality services levels, manage problems related to data quality, design and implement operational procedures for data quality management, and monitor operations and performance of data quality management procedures.
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DeLone, W. H., and McLean, E. R. 1992. “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research (3:1), pp. 60–95. (https://doi.org/10.1287/isre.3.1.60).
Effendi, D. 2012. “Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi Menggunakan CALDEA Dan EVAMECAL,” Seminar Nasional ReSaTek II-2012 (November 2012), TI-G.1-TI-G.11.
Even, A., and Shankaranaryanan, G. 2009. “Dual Assessment of Data Quality in Customer Databases,” ACM Journal of Data and Information Quality (1:3), 15:1-15:29. (https://doi.org/10.1145/1659225.1659228.http).
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Hazen, B. T., Weigel, F. K., Ezell, J. D., Boehmke, B. C., and Bradley, R. V. 2017. “Toward Understanding Outcomes Associated with Data Quality Improvement,” International Journal of Production Economics (193:August), Elsevier Ltd, pp. 737–747. (https://doi.org/10.1016/j.ijpe.2017.08.027).
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Lucas, A. 2010. “Corporate Data Quality Management: From Theory to Practice,” in 5th Iberian Conference Information Systems and Technologies (CISTI), Santiago de Compostela, Spain, pp. 1–7. (https://doi.org/10.1007/s00038-011-0292-2).
Malange, S. N., Ngassam, E. K., Ojo, S. O., and Osunmakinde, I. O. 2015. “Methodology for Improving Data Quality Management in South African Government Departments,” in IST-Africa, pp. 2–9.
Mosley, M., Brackett, M., Earley, S., and Henderson, D. 2009. “The DAMA Guide to The Data Management Body of Knowledge,” Technics Publications, LLC Post.
Nascimento, D. C., Pires, C. E., and Mestre, D. G. 2015. “A Data Quality-Aware Cloud Service Based on Metaheuristic and Machine Learning Provisioning Algorithms,” Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC ’15, pp. 1696–1703. (https://doi.org/10.1145/2695664.2695753).
Penning, M., and Talburt, J. R. 2012. Information Quality Assessment and Improvement of Student Information in the University Environment, p. 4.
Presiden Republik Indonesia. 2012. Undang-Undang Republik Indonesia Nomor 12 Tahun 2012 Tentang Pendidikan Tinggi, pp. 1–97. (https://doi.org/10.1073/pnas.0703993104).
Sekolah Tinggi Ilmu Statistik. 2014. Rencana Strategis Sekolah Tinggi Ilmu Statistik Tahun 2015-2019.
Tahvildarzadeh, M., Moghaddasi, H., and Hosseini, M. 2017. “A Framework for Quality Management of University Educational Information: A Review Study,” Research and Development in Medical Education (6:1), pp. 3–11. (https://doi.org/10.15171/rdme.2017.002).
Wibisono, S. B., Hidayanto, A. N., and Nugroho, W. S. 2018. “Data Quality Management Maturity Measurement of Government-Owned Property Transaction in BMKG,” CommIT (Communication & Information Technology) (12:2), pp. 59–72. (https://doi.org/https://dx.doi.org/10.1002/ccd.24308).
Wijayanti, W., Hidayanto, A. N., Wilantika, N., Adawati, I. R., and Yudhoatmojo, S. B. 2018. “Data Quality Assessment on Higher Education: A Case Study of Institute of Statistics,” in International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta.
Zubrow, D., Hayes, W., Siegel, J., and Goldenson, D. 1994. Software Process Maturity Questionnaire, (June).
Published
2019-10-31
How to Cite
Wilantika, N., & Wibowo, W. C. (2019). Data Quality Management in Educational Data: A Case Study of Statistics Polytechnic. Jurnal Sistem Informasi, 15(2), 52-67. https://doi.org/10.21609/jsi.v15i2.848
Section
Articles
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