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All Journal JUXTA: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga The Indonesian Journal of Computer Science
Salsabila, Aisyah Nur
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Engineering Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health

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Perbandingan Deteksi Alzheimer: ViT, CNN dan ViT dengan Bobot pada Citra Medis Salsabila, Aisyah Nur; Liebenlito, Muhaza; Zulkifli, Dhea Urfina
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3765

Abstract

Penyakit Alzheimer merupakan suatu tipe demensia yang berpengaruh terhadap ingatan, cara berpikir, dan perilaku. Gejala-gejala tersebut dapat menjadi cukup parah sehingga dapat mempengaruhi kegiatan sehari-hari. Dalam penelitian ini, diperkenalkan aplikasi Convolutional Neural Network (CNN) sederhana dan pre-trained model Vision Transformer (ViT) untuk menganalisis data MRI Scan Alzheimer dengan empat kelas, yaitu Mild Demented, Moderate Demented, Non Demented, dan Very Mild Demented. Pada penelitian ini, dilakukan perbandingan pengaplikasian CNN dengan bobot dan ViT yang dilakukan dengan menggunakan dua cara, yaitu dengan bobot dan tidak. Hasil dari penelitian ini menunjukkan bahwa pengaplikasian ViT dengan bobot menghasilkan akurasi yang lebih tinggi dibanding dengan metode lainnya. Dari penelitian ini, diharapkan dapat menganalisa dan mendeteksi penyakit Alzheimer dalam bidang kesehatan dengan efisien.
Profile of Flexible Fiberoptic Laryngoscopy Examination Before and During the COVID-19 Pandemic in the ORL-HNS Outpatient Unit of Dr. Soetomo General Academic Hospital, Surabaya, Indonesia in 2018–2021 Salsabila, Aisyah Nur; Perdana, Rizka Fathoni; Awalia, Awalia; Purnami, Nyilo
JUXTA: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga Vol. 16 No. 2 (2025): Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/juxta.V16I22025.155-161

Abstract

Highlights: No differences were observed in any of the variables before and during the COVID-19 pandemic. Only diagnosis variables differed between before and during the COVID-19 pandemic.   Abstract Introduction: Flexible fiberoptic laryngoscopy (FOL) is indicated for various conditions in patients with abnormal upper airway anatomy. This study aimed to determine the profile of flexible FOL examinations at the Otorhinolaryngology-Head and Neck Surgery (ORL-HNS) outpatient unit of Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, from 2018 to 2021. Methods: This retrospective study used secondary data from medical records of patients who underwent flexible FOL examinations at the ORL-HNS outpatient unit from 2018 to 2021. The inclusion criteria consisted of patients’ medical records who had complete profiles, successful laryngoscopy, and diagnoses that met the specified variable criteria. Results: A total of 723 patients underwent flexible FOL at the ORL-HNS outpatient clinic during the study period. Before and during the coronavirus disease (COVID-19) pandemic, most of these patients were males, between 20 and 59 years old, unemployed, and lived out of town. The most common procedure before and during the COVID-19 pandemic was FOL. Laryngomalacia was the common diagnosis before the COVID-19 pandemic. Malignancy in the larynx was the common diagnosis during the COVID-19 pandemic. Conclusion: The variables age, sex, place of residence, occupation, and type of action remained consistent before and during the COVID-19 pandemic. However, the diagnosis variable had different results.
Co-Authors Awalia, Awalia Dhea Urfina Zulkifli Muhaza Liebenlito Nyilo Purnami Perdana, Rizka Fathoni