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Sistem Informasi Berbasis Cloud: Solusi Untuk Bisnis Modern Dimas Halki Widana; Muhammad Irwan Padli Nasution
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 3 No 1 (2025): Februari
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v3i`1.619

Abstract

Cloud computing is a technology innovation that provides flexible access to computing resources over the internet, enabling operational efficiency, cost reduction, and innovation acceleration for modern businesses. This study uses a qualitative narrative approach to explore the benefits, challenges, and innovation opportunities based on this technology. Findings show that service examples such as SaaS, PaaS, and IaaS support diverse business needs, although challenges such as data security and regulatory compliance must be managed. This technology has proven to be a driver of digital transformation, providing strategic competitiveness, and as a foundation for business sustainability in the digital era.
PENTINGNYA REFERENCE AND MASTER DATA MANAGEMENT DALAM MENINGKATKAN INTEGRITAS DATA DI ORGANISASI Dimas Halki Widana; Rifa Nabila Malay; Zahwatun Suhaibah Rangkuti; Nurbaiti
JURNAL ILMIAH RESEARCH STUDENT Vol. 2 No. 2 (2025): September
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v2i2.5427

Abstract

In the digitalization era, organizations face challenges in ensuring data integrity due to inconsistencies and data duplication. Reference and Master Data Management (MDM) serves as a solution to improve data quality, consistency, and operational efficiency. This study aims to analyze the role of MDM in enhancing data integrity, identify implementation challenges, and propose strategies that organizations can adopt. Although various studies have discussed the benefits of MDM, there is still a research gap regarding the strategic and policy aspects of its implementation. This research employs a literature analysis method with a qualitative descriptive approach to understand the concept, challenges, and opportunities of MDM implementation. The findings indicate that effective MDM implementation improves data accuracy, consistency, and governance but faces challenges in cross-system data integration and policy change management. The recommended strategies include optimizing MDM through strong data governance policies and adopting technologies that support more efficient data integration. This study is expected to serve as a reference for organizations in developing more effective and adaptive data management