Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Mamangan Social Science Journal
Achmad, Mohammad
Unknown Affiliation
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Data Governance Blueprint For Online Learning: A Case Study On Tutor LMS And Wordpress Yulianto, Tomi; Purnomo, Heru; Achmad, Mohammad
Jurnal Mamangan Vol 13, No 2 (2024): Special Issue: Jurnal Ilmu Sosial Mamangan, Accredited 2 (SK Dirjen Ristek Dikt
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v12i3.9436

Abstract

Data management and governance play a vital role in ensuring the successful implementation of information systems in organizations, especially in online learning platforms based on Tutor LMS on WordPress. This article discusses the development of a data framework (data blueprint) through a case study approach to an e-learning platform that includes four main phases: Data Strategy and Maturity, Data Integration Assessment, Data Quality Assessment, and Data Analytics Evaluation. By implementing appropriate data governance principles, such as role-based access control (RBAC), API integration, and data quality validation, the platform can provide a more adaptive, efficient, and secure learning experience. This article aims to contribute to the practical and theoretical understanding of modern data management in technology-based education environments. The implementation of structured data governance through a data blueprint approach can improve the effectiveness, efficiency, and security of online learning systems. The four main phases—data strategy, integration, quality, and analytics—are the foundation for managing data as a strategic asset. The support of advanced technologies such as APIs, AI, and visual dashboards facilitate accurate and real-time data-based decision making.
Co-Authors Heru Purnomo Yulianto, Tomi