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All Journal Media of Health Research RESWARA: Jurnal Riset Ilmu Teknik
Rahman, Nur Aisyah
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Dentistry Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Profil Paramater Inflamasi Albumin Dan Prokalsitonin Pada Kasus Pasien Covid-19 Octifani, Amellya; Rahman, Nur Aisyah
Media of Health Research Vol. 1 No. 3 (2023): Media of Health Research, December 2023
Publisher : Lembaga Publikasi Ilmiah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/mohr.v1i3.24

Abstract

Patients with COVID-19 have increased serum levels of Procalcitonin and decreased albumin, a key inflammatory marker associated with a high risk of organ injury and death. This study aims to determine the profile of inflammatory parameters albumin and procalcitonin in covid-19 patient cases. The type of research used is retrospective with a cross sectional approach. The research data were taken using a simple random sampling technique. Analysis for albumin with severity in COVID-19 positive patients in this study used an optimal limit or cut-off value of 3.5 g/dL. The optimal limit or cut off value for Procalcitonin in this study was 0.05 µg/L. The results of research from 30 patient data showed that there was a decrease in albumin levels in moderate and severe patients by 60% and an increase in procalcitonin levels > 0.05 µg/L by 96%. The conclusion of this study is that there was a decrease in albumin levels and an increase in procalcitonin levels in COVID-19 case patients, which indicates inflammation due to SARS-COV2 virus infection.
Energy Consumption Optimization in Commercial Buildings Using IoT-Based Monitoring Wicaksono, Dimas Arif; Rahman, Nur Aisyah; Ferreira, Lucas M.
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 2 (2025): RESWARA: Jurnal Riset Ilmu Teknik, April 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i2.412

Abstract

Energy consumption in commercial buildings continues to rise due to increased demand for comfort, automation, and operational continuity. Conventional energy management systems often fail to provide adaptive, real-time control, resulting in inefficiencies and unnecessary energy waste. This study examines the role of Internet of Things based monitoring systems in optimizing energy consumption within commercial buildings. The research adopts a systematic analytical approach by synthesizing empirical findings from recent IoT-based energy management studies and integrating them into a unified monitoring and control framework. The analysis focuses on occupancy detection, environmental sensing, data-driven control, and predictive analytics. Results indicate that IoT-based monitoring enables energy reductions ranging from 11 percent to over 30 percent, particularly in HVAC and lighting systems. Real-time data acquisition and automated control significantly improve operational efficiency while maintaining occupant comfort. The findings confirm that IoT-based monitoring systems provide measurable energy savings, enhance decision accuracy, and support sustainable building operations. This study contributes a structured evaluation of IoT-driven energy optimization strategies and offers practical insights for commercial building managers and policymakers seeking scalable and cost-effective energy solutions.
Co-Authors Ferreira, Lucas M. Octifani, Amellya Wicaksono, Dimas Arif