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EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Published by Universitas Bandar Lampung
ISSN : 20885555     EISSN : 27457265     DOI : http://dx.doi.org/10.36448/jmsit.v10i1.1490
Core Subject : Science,
Computer Science & IT
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknolologi menyajikan artikel/naskah dalam bidang teknologi informasi khususnya dalam Fokus pada 5 kelompok keilmuan di bidang sistem informasi yaitu: Sistem Informasi, Rekayasa Perangkat Lunak (RPL), Jaringan, Multimedia, Security, Teknologi Web dan Mobile serta Kecerdasan Buatan dan Game, serta tidak membatasi terhadap kajian-kajian sistem informasi lainnya meliputi: Information System, Business Intelligence, Logistic and Supply Chain Management, Customer Relationship Management, Human Resource Management, Intelligent Decision Support Systems, Enterprise Systems, Business Process Modelling, System Modelling, Management Information Systems, Economic Models for Information Systems, Mobile e-Business, Web Services for e-Business, Knowledge Management, Strategic Information Systems, Artificial Intelligence and Expert Systems, Balanced Scorecard, e-Commerce, Business Forecasting Process, Information Systems Change Management, Innovation in Information Systems and Change Management, Total Quality Management, Six Sigma for Performance Improvement, General Information Systems Related to Business Competitiveness.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 11 Documents
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Search results for , issue "Vol 14, No 2 (2024): December" : 11 Documents clear
Measuring the Maturity Level of Social Assistance Distribution Data Governance Using the 2019 Cobit Framework Endra, Robby Yuli; Rizal, Usman; Afandi, Freddy Nur
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 14, No 2 (2024): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v14i2.4074

Abstract

This study aims to measure the maturity level of data governance in the distribution of social assistance using the COBIT 2019 framework. We chose COBIT 2019 as the methodology due to its comprehensive guidance for information technology governance. Measurements were made by assessing researchers focused on 4 domains APO, BAI, and DSS. The results of the study indicate variations in the level of maturity across processes. Some processes, such as risk management and operational efficiency, have reached the desired level of maturity, while other processes, such as information security and organizational change management, still require significant improvement. The gaps found in this measurement provide valuable insights into areas that require further attention. Recommendations for improvement include improving user training, strengthening security procedures, and improving communication and stakeholder engagement. Implementation of the proposed improvements is expected to improve data governance maturity and, in turn, improve the quality and accuracy of social assistance distribution. This study makes a significant contribution to understanding and improving data governance in the public sector, especially in the context of social assistance distribution. The results and recommendations from this study can be used by related organizations to optimize their data management processes so that they can be more effective and efficient in serving the public.

Page 2 of 2 | Total Record : 11

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