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All Journal Junior Medical Journal Advance Sustainable Science, Engineering and Technology (ASSET)
Nunung Ainur Rahmah
Universitas YARSI
Religion Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health

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The Relationship of Anxiety Level with Osce Graduation on Students of The Faculty of Medicine YARSI University Class 2019 and 2020, and The Review According to Islamic Perspective Muhammad Kholik Sanaba; Nunung Ainur Rahmah; Firman Arifandi
Junior Medical Journal Vol 1, No 1 (2022)
Publisher : Junior Medical Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.958 KB) | DOI: 10.33476/jmj.v1i1.2684

Abstract

Background: Anxiety is a condition that causes changes in a person's emotional atmosphere that can affect students' cognitive function when facing the Objective Structured Clinical Examination and affect student performance. According to the Qur'an, anxiety is explained by the phrase kha?f, which is a condition of unease about the future. This is caused by doubts in the heart or daiq so that hal?'a or anxiety occurs and results in feelings of suffering or hazn. The purpose of this study was to determine the relationship between anxiety levels with online and offline OSCE graduation, age, sex and identify the level of anxiety in YARSI University Faculty of Medicine Students Class of 2019 and 2020.Methods: This type of research is descriptive analytic with a cross sectional research design. The questionnaire was distributed via google form. This research was conducted on students of the Faculty of Medicine, YARSI University batch 2019 and 2020 with a total sample of 209 respondents. Data analysis using Kruskal Wallis test and Kolmogorov-Smirnov test.Results: Based on the results of statistical tests, there is no relationship between anxiety levels with sex, age, and online and offline OSCE graduation in YARSI University Faculty of Medicine Students Class of 2019 and 2020. The level of anxiety experienced by most students is a mild level of anxiety.Conclusion: There are no significant results between the level of anxiety with sex, age, and online and offline OSCE graduation.
Optimizing Image Preprocessing for AI-Driven Cervical Cancer Diagnosis Chandra Prasetyo Utomo; Neng Suhaeni; Nashuha Insani; Elan Suherlan; Nunung Ainur Rahmah; Ahmad Rusdan Utomo; Indra Kusuma; Muhamad Fathurachman; Dewa Nyoman Murti Adyaksa
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1128

Abstract

Cervical cancer ranks among the top causes of cancer-related deaths in women globally. Early detection is vital for improving patient survival rates. The multiclass classification of cervical cell images presents challenges primarily due to the notable variations in cell sizes across different classes. Conventional AI methods for diagnosing cervical cancer often rely on image-resizing techniques that overlook crucial features like relative cell dimensions, which impairs the models' ability to distinguish between classes effectively. This paper presents a novel AI-driven approach that employs constant padding to maintain the natural size differences among cells. Our method utilizes deep learning for both feature extraction and multiclass classification. We assessed the method using the publicly accessible SIPaKMeD dataset. Experimental findings indicate that our approach surpasses traditional image-resizing methods, especially in classes that are more challenging to predict. This strategy highlights AI's potential to improve cervical cancer diagnosis, offering a more precise and dependable tool for early detection. A reliable and precise AI model for diagnosing cervical cancer is crucial for promoting widespread screening and ensuring timely and effective treatment, which can ultimately lower mortality rates. By aiding early and accurate diagnosis, this approach aligns with global health efforts to alleviate the burden of cancer and other diseases, especially in areas with limited access to advanced healthcare services facilities.
Co-Authors Ahmad Rusdan Utomo Chandra Prasetyo Utomo Dewa Nyoman Murti Adyaksa Elan Suherlan Firman Arifandi Indra Kusuma Muhamad Fathurachman Muhammad Kholik Sanaba Nashuha Insani Neng Suhaeni