Improvement Master Data Management : Case Study Of The Directorate General Of The Religious Courts Of The Supreme Court Of The Republic Of Indonesia

Authors

  • Rama Alfiandi Faculty of Computer Science University of Indonesia Jakarta, Indonesia
  • Yova Ruldeviyani Faculty of Computer Science University of Indonesia Jakarta, Indonesia

DOI:

10.33395/sinkron.v9i1.13194

Keywords:

Master Data, MDM, Maturity Model, MD3M, Religious Justice

Abstract

Implementation of Master Data Management (MDM) in an organization aims to help the process of consolidating and integrating various master data sources into one separate source of truth, as well as helping to overcome data complexity that occurs in the process of synchronizing, consolidating and cleaning data from redundancy. The main obstacle at DG Badilag is that data is spread across various systems, in different formats, and is not well integrated. The aim of this research is to improve master data management at the Directorate General of Badilag using MD3M which has an impact on a more transparent, efficient and just justice system . To improve master data management, it is necessary to measure the maturity level with use Master Data Management Maturity Model (MD3M) by Spruit and Pietzka. The results of the assessment show that the MDM maturity level at the Directorate General of Badilag is 0 with an implementation level of 73% (48 out of a total of 65) of implemented capabilities. From these results, recommendations were prepared to increase the maturity level of the Directorate General of Badilag to level 2 in the three designated focus areas, namely strengthening data management in all aspects, from data structure, data quality and data protection. DG Badilag already has awareness in master data management and can increase MDM maturity to a higher level by implementing capabilities that have not been implemented and implementing activities that have not been implemented.

GS Cited Analysis

Downloads

Download data is not yet available.

References

Aditya Rahman, A., Gusman Dharma, P., Mohamad Fatchur, R., Nala Freedrikson, A., Pranata Ari, B., & Ruldeviyani, Y. (2019). Master data management maturity assessment: A case study of a Pasar Rebo Public Hospital. 2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019, 497–504. https://doi.org/10.1109/ICACSIS47736.2019.8979656

Becker, J., Knackstedt, R., & Pöppelbuß, J. (2009). Developing Maturity Models for IT Management. Business & Information Systems Engineering, 1(3), 213–222. https://doi.org/10.1007/s12599-009-0044-5

Dyche, K. J., Ladley, J., & Sebastian-Coleman, L. (2017). DAMA-DMBOK 2nd Edition.

Hikmawati, S., Santosa, P. I., & Hidayah, I. (2021). Improving Data Quality and Data Governance Using Master Data Management: A Review. IJITEE (International Journal of Information Technology and Electrical Engineering), 5(3), 90. https://doi.org/10.22146/ijitee.66307

Ko, C., Adywiratama, A. D., & Hidayanto, A. N. (2021). Master Data Management Maturity Model (MD3M) Assessment: A Case Study in Secretariat of Presidential Advisory Council. 2021 9th International Conference on Information and Communication Technology, ICoICT 2021, 359–363. https://doi.org/10.1109/ICoICT52021.2021.9527507

Krismawati, D., Ruldeviyani, Y., & Rusli, R. (2019). Master data management maturity model: A case study at statistics business register in statistics Indonesia. 2019 International Conference on Information and Communications Technology, ICOIACT 2019, 931–936. https://doi.org/10.1109/ICOIACT46704.2019.8938482

Mosley, M., Brackett, M., Earley, S., & Henderson, D. (2009). The DAMA Guide to The Data Management Body of Knowledge ( DAMA-DMBOK Guide ) First Edition.

Permana, R. I., & Suroso, J. S. (2018). Data Governance Maturity Assessment at PT. XYZ. Case Study: Data Management Division. Proceedings of 2018 International Conference on Information Management and Technology, ICIMTech 2018, September, 15–20. https://doi.org/10.1109/ICIMTech.2018.8528142

Pietzka, K. (2004). Master Data Management Maturity Model - Developing an Assessment to Evaluate on Organization’s MDM Maturity (Issue 1).

Pratama, F. G., Astana, S., Yudhoatmojo, S. B., & Hidayanto, A. N. (2019). Master Data Management Maturity Assessment: A Case Study of Organization in Ministry of Education and Culture. 2018 International Conference on Computer, Control, Informatics and Its Applications: Recent Challenges in Machine Learning for Computing Applications, IC3INA 2018 - Proceeding, Mdm, 1–6. https://doi.org/10.1109/IC3INA.2018.8629524

RI, M. H. dan H. A. M. (2009). UNDANG-UNDANG REPUBLIK INDONESIA NOMOR 50 TAHUN 2009 2009 TENTANG PERUBAHAN KEDUA ATAS UNDANG-UNDANG NOMOR 7 TAHUN 1989 TENTANG PERADILAN AGAMA. In Undang-Undang Republik Indonesia (Vol. 2, Issue 1, pp. 1–8).

Rishartati, P., Rahayuningtyas, N. D., Maulina, J., Adetia, A., & Ruldeviyani, Y. (2019). Maturity assessment and strategy to improve master data management of geospatial data case study: Statistics Indonesia. Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019. https://doi.org/10.1109/ICST47872.2019.9166400

Spruit, M., & Pietzka, K. (2015). MD3M: The master data management maturity model. Computers in Human Behavior, 51(September), 1068–1076. https://doi.org/10.1016/j.chb.2014.09.030

Vásquez, D., Kukurelo, R., Raymundo, C., Dominguez, F., & Moguerza, J. (2018). Master data management maturity model for the successful of mdm initiatives in the microfinance sector in Peru. International Journal of Engineering Research and Technology, 11(4), 621–636.

Downloads


Crossmark Updates

How to Cite

Alfiandi, R., & Ruldeviyani, Y. . (2024). Improvement Master Data Management : Case Study Of The Directorate General Of The Religious Courts Of The Supreme Court Of The Republic Of Indonesia. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 9(1), 355-365. https://doi.org/10.33395/sinkron.v9i1.13194