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All Journal Journal of Engineering Science and Technology Management PM360 Derajat
Margi Astuti, Epu
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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Mortality Rate Analysis Covid-19 Patients Based on Condition Comorbidities with Approach K-Means Clustering Yanto, Adri; Margi Astuti, Epu; Mustika, Aai
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.240

Abstract

The COVID-19 pandemic, which emerged in China in late 2019, rapidly spread to over 200 countries, including Indonesia. In response, various preventive measures were implemented to mitigate the increasing number of infections. West Sumatra Province ranked 11th out of 34 provinces in terms of confirmed COVID-19 cases. Patients infected with COVID-19 in this region often presented with comorbidities such as hypertension, diabetes mellitus, chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), liver disorders, obesity, renal disease, and malignancies conditions known to contribute significantly to COVID-19-related mortality. This study aims to identify the mortality risk associated with comorbidities in COVID-19 patients using clustering analysis. A total of 91 patient records from a hospital in Padang City were analyzed. The data included age, primary and secondary diagnoses, all classified using the International Classification of Diseases (ICD-10). The K-Means Clustering algorithm was employed to categorize comorbidities into high, medium, and low-risk groups. Data processing was conducted using RapidMiner software, and accuracy was evaluated using mathematical calculations. The results indicated that Cluster 1 (high-risk) consisted of 5 comorbid diseases, Cluster 2 (medium-risk) included 9 diseases, and Cluster 3 (low-risk) encompassed 35 comorbid diseases. These findings demonstrate that clustering analysis is effective in classifying mortality risk based on comorbid conditions and can be utilized to support clinical prioritization and resource allocation during pandemic management.
EDUKASI TERAPI STRETCHING TERHADAP NYERI SENDI PENDERITA GOUT ARTHRITIS PADA LANSIA DI PSTW HUSNUL KHOTIMAH DINAS SOSIAL PROVINSI RIAU Efliani, Destria; Margi Astuti, Epu; Permanasari, Ika
Jurnal Pengabdian Masyarakat 360 Derajat Vol 2 No 2 (2025): Pengabdian Masyarakat 360 Derajat
Publisher : Institut Kesehatan dan Teknologi Al Insyirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35328/2nd7fb58

Abstract

Gout arthritis merupakan salah satu masalah kesehatan yang sering dialami oleh lansia dan ditandai dengan nyeri sendi yang dapat mengganggu mobilitas serta kualitas hidup. Penatalaksanaan gout arthritis tidak hanya bergantung pada terapi farmakologis, tetapi juga memerlukan pendekatan non-farmakologis yang aman dan mudah diterapkan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan, keterampilan, dan kemandirian lansia dalam mengelola nyeri sendi melalui edukasi dan penerapan terapi stretching. Kegiatan dilaksanakan di PSTW Husnul Khotimah Dinas Sosial Provinsi Riau dengan sasaran lansia penderita gout arthritis. Metode yang digunakan adalah edukatif dan partisipatif, meliputi penyuluhan kesehatan, demonstrasi, dan praktik langsung terapi stretching. Evaluasi dilakukan melalui pengukuran tingkat pengetahuan dan observasi kemampuan lansia dalam melakukan stretching serta penilaian nyeri sebelum dan sesudah kegiatan. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan lansia serta kemampuan melakukan terapi stretching secara mandiri, disertai penurunan keluhan nyeri sendi. Edukasi terapi stretching terbukti bermanfaat sebagai upaya promotif dan preventif dalam pengelolaan nyeri sendi gout arthritis pada lansia serta berpotensi meningkatkan kualitas hidup secara berkelanjutan.
Co-Authors Adri Yanto Destria Efliani Ika Permanasari Mustika, Aai