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All Journal Media of Health Research Journal of Science and Mathematics Education RESWARA: Jurnal Riset Ilmu Teknik
Rahman, Nur Aisyah
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics 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.
Collaborative Learning and Its Effect on Statistical Literacy at Sekolah Menengah Pengiran Anak Puteri Hajah Masna, Brunei Darussalam. Hamid, Ahmad Fauzi; Rahman, Nur Aisyah
Journal of Science and Mathematics Education Vol. 2 No. 1 (2026): Journal of Science and Mathematics Education, March 2026
Publisher : Lembaga Publikasi Ilmiah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/josme.v2i1.408

Abstract

Statistical literacy has become an essential competence in secondary education due to its critical role in data-driven decision-making. This study aims to examine the effect of collaborative learning on students’ statistical literacy at Sekolah Menengah Pengiran Anak Puteri Hajah Masna, Brunei Darussalam. A quasi-experimental design with pre-test and post-test was employed, involving an experimental group exposed to collaborative learning strategies and a control group taught using conventional methods. The sample comprised 60 upper secondary students selected through purposive sampling. Data were collected using a validated statistical literacy test and analyzed using paired and independent t-tests to assess significant differences between groups. Findings indicate that students participating in collaborative learning demonstrated significantly higher gains in statistical literacy compared to their peers in the control group. Specifically, collaborative learning enhanced students’ ability to understand statistical concepts, analyze data, interpret graphs, and solve statistical problems effectively. These results suggest that collaborative learning provides a conducive environment for fostering analytical thinking and practical application of statistical knowledge. The study recommends the systematic implementation of collaborative learning strategies within the mathematics curriculum to promote statistical literacy at the secondary level. Furthermore, this research highlights the potential for further studies exploring the impact of collaborative approaches on numerical literacy and critical thinking skills in broader educational contexts. Overall, collaborative learning emerges as a viable pedagogical approach for developing competent, data-literate students capable of navigating an increasingly information-driven world.
Co-Authors Ferreira, Lucas M. Hamid, Ahmad Fauzi Octifani, Amellya Wicaksono, Dimas Arif