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IT Governance Evaluation of Hospital Information Systems Using Framework: Case Study of RSUD Welas Asih Muhammad Hanif Zahran; Sinung Suakanto; Basuki Rahmad
Vifada Management and Social Sciences Vol. 4 No. 1 (2026): January - June
Publisher : Yayasan Vifada Cendikia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70184/jkcdbz70

Abstract

Purpose: This study evaluates the governance capability of the Hospital Management Information System (Sistem Informasi Manajemen Rumah Sakit/SIMRS) at RSUD Welas Asih using COBIT 2019 and formulates improvement directions to strengthen service reliability. Research Design and Methodology: This study applies an evaluative case study with a mixed-method approach. Data were collected through a structured questionnaire completed by ten respondents from the SIMRS Installation, an interview with the Head of SIMRS Installation, direct observation, and limited document analysis. COBIT 2019 was used to assess selected APO, BAI, and DSS processes, while triangulation was applied to interpret questionnaire results against interview and documentary evidence. Findings and Discussion: The questionnaire results show generally positive perceptions of SIMRS governance, especially in strategic alignment, user-driven development, and operational support. However, triangulation identifies improvement needs in periodic training, user adaptation after feature changes, change documentation, external system dependency, incident handling, manual fallback, data re-entry, BPJS claim validation, and infrastructure resilience. Implications: The study recommends strengthening competency development, formal change logs, incident escalation, fallback procedures, data reconciliation, infrastructure continuity, and continuous governance monitoring.  
Analisis Peran DCIM dalam Peningkatan Efisiensi Energi dan Penurunan PUE pada Data Center Indonesia Muhammad Fuady; Teguh Kurniawan; Basuki Rahmad; Muharman Lubis
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 5 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i5.2203

Abstract

The global digital transformation, accelerated by the COVID-19 pandemic and the massive adoption of generative artificial intelligence (AI) architectures, has triggered an exponential surge in the construction of hyperscale data center infrastructures. This growth brings a direct consequence in the form of escalating global energy consumption, positioning data centers among the most energy-intensive industrial facilities in the world. This research presents a comprehensive analysis of the role of Data Center Infrastructure Management (DCIM) as a holistic instrument to diagnose, orchestrate, and improve energy efficiency, quantified specifically through the reduction of the Power Usage Effectiveness (PUE) metric. Utilizing a methodological framework of systematic review and empirical multi-case analysis, this research deconstructs operational thermodynamic dynamics that cause persistent inefficiencies, such as server sprawl resulting in zombie servers and over-provisioning of HVAC systems. Quantitative analysis proves that DCIM intelligence features—including real-time thermal mapping, digital twin prediction, and capacity load optimization—can drastically reduce PUE, with several institutional facilities successfully lowering baseline PUE from 1.83 to 1.51, while cutting cooling loads by up to 48%. In Indonesia, DCIM integration proves highly crucial to fulfilling mandates of SNI 8799:2020 and SPBE guidelines, and mitigating peak load resilience risks for PT PLN (Persero). This research proposes a computing infrastructure governance paradigm focused on total automation of the thermal power supply chain to achieve globally competitive green infrastructure.