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Intan Kumalasari
Implementasi Kinerja Metode Fuzzy Sugeno Untuk Mendeteksi Penyakit Diabetes
Biomedical

Diabetes Mellitus (DM) is a chronic disease caused by decreased insulin secretion, resulting in an increase in blood glucose levels in humans. This di...

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This manuscript proposes an implementation of the Fuzzy Sugeno method for detecting diabetes, a highly relevant and critical health issue globally. Th...

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Santo Wijaya, Nita Winda Sari, Dwiky Firnanda Dewa
Pengembangan Sistem Kontrol Redundancy Chiller MRI berbasis Internet-of-Things
Biomedical

Rumah sakit modern memanfaatkan teknologi seperti Magnetic Resonance Imaging (MRI) untuk diagnosis medis, namun masih ditemukan kendala pada sistem pe...

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The article "Pengembangan Sistem Kontrol Redundancy Chiller MRI berbasis Internet-of-Things" addresses a critical operational challenge within modern...

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Rahmat Inggi, La Ode Bakrim, Asmira Asmira, Mirhan Siregar
Rancang Bangun Alat Catu Daya Pada Baby Incubator
Biomedical

Penelitian ini bertujuan untuk merancang sistem cadangan daya pada inkubator bayi agar tetap berfungsi saat terjadi pemadaman listrik dari PLN. Sistem...

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The article, "Rancang Bangun Alat Catu Daya Pada Baby Incubator," presents a relevant and practical solution to a critical issue in healthcare: ensuri...

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Florence Meliawaty, Mistli Nur Robbani , Hartanto Endrowahyudi, Euis Reni Yuslianti
PROSPECTIVE USE OF REUNDEU LEAVES (Staurogyne elongata) ON INFLAMMATORY MACROPHAGES IN SKIN EXCISION WOUND
Biomedical

Healing of skin excision wounds involves complex stages, with inflammatory macrophages playing a key role in regulating the inflammatory response and...

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This literature review effectively addresses a critical aspect of wound healing by investigating the prospective role of *Staurogyne elongata* (Reunde...

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Iis Isnayati, Nurjannah Achmad, Salma Andintama
BLOOD GLUCOSE LEVELS ARE STRONGLY ASSOCIATED WITH VCAM-1 LEVELS IN PATIENTS WITH METABOLIC SYNDROME
Biomedical

Metabolic syndrome is a combination of metabolic risk factors that cause cardiovascular disease. These risk factors include high blood pressure, obesi...

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This study investigated the crucial relationship between components of metabolic syndrome and levels of VCAM-1, a marker of endothelial dysfunction, i...

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Rini Puspita Sari, Morita Sari, Ariyani Faizah, Cahyani
POTENTIAL ROLE OF L – ARGININE IN SESAME SEEDS FOR DENTAL CARIES PREVENTION
Biomedical

Dental caries is a chronic disease caused by damage to tooth enamel. The epidemiology of the prevalence of dental caries in Indonesia is 88.80%. Some...

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This literature review addresses a highly pertinent topic in preventive dentistry, investigating the potential role of L-arginine in mitigating dental...

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Wastuti Hidayati Suriyah, Ayako Aziza Solachuddin, Ar Razi Ryoshi Solachuddin
ZEBRAFISH AS AN EMERGING IN VIVO MODEL IN DENTOMAXILLOFACIAL RESEARCH
Biomedical

Animal models are vital in dental research for studying dentomaxillofacial anomalies, disease mechanisms, and therapeutic strategies. Conventional mod...

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This review article, "Zebrafish as an Emerging In Vivo Model in Dentomaxillofacial Research," addresses a critical need in dental research by explorin...

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Sang Gede Purnama
DETECTING TRANSOVARIAL INFECTION IN AEDES AEGYPTI BASED ON IMMUNOCYTOCHEMICAL STREPTAVIDIN BIOTIN PEROXIDASE COMPLEX ASSAY (ISBPC) IN BALI
Biomedical

Immunocytochemical method is one of dengue virus examination alternative with affordable cost. Through immunocytochemical methods it will be proven th...

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This study presents an investigation into the detection of dengue virus transovarial infection in *Aedes aegypti* mosquitoes in Bali using an immunocy...

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Rima Ayu Cahyani, Aji Purwinarko
Neural Network Optimization Using Hybrid Adaptive Mutation Particle Swarm Optimization and Levenberg-Marquardt in Cases of Cardiovascular Disease
Biomedical

Abstract. Cardiovascular disease is a condition generally characterized by the narrowing or blockage of blood vessels, which can lead...

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This paper presents a method for optimizing neural network performance in the critical area of cardiovascular disease (CVD) prediction, a leading glob...

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Deonisius Germandy Cahaya Putra, Anggyi Trisnawan Putra
Optimizing Random Forest for Predicting Thoracic Surgery Success in Lung Cancer Using Recursive Feature Elimination and GridSearchCV
Biomedical

Abstract. Lung cancer is one of the deadliest forms of cancer, claiming numerous lives annually. Thoracic surgery is a strategy to man...

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This paper addresses the critical and clinically relevant problem of predicting thoracic surgery success in lung cancer patients, a procedure fraught...

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