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All Journal Journal Medical Informatics Technology
Dirsam, Winarlin
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Computer Science & IT Dentistry Engineering Medicine & Pharmacology Public Health

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Optimising Cataract Detection in Fundus Images through EfficientNet-Based Classification Ibrahim, Andi; Sabara, Edi; Dirsam, Winarlin; Aziz, Faruq
Journal Medical Informatics Technology Volume 2 No. 1, March 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i1.25

Abstract

Turbidity of the lens of the eyeball that causes blindness or loss of vision is known as a cataract. By diagnosing the causes and symptoms of cataracts, early detection helps patients in prevention and treatment. The purpose of the research was to classify the image of the fundus into two classes: normal and cataract. The study also looked at how the optimizers for stochastic gradient descent, adaptive moment estimation, root mean square propagation, adaptive gradient algorithm, adaptive delta, and Nesterov-accelerated adaptive moment estimation stacked up against each other. We used the EfficientNet architecture in CNN and preprocessed the normal fundus and cataract fundus images by dividing each into training data (N = 80) and validation data (N = 20) from the Kaggle repository. We added test data from the normal fondus image (N =20) to see the accuracy of the results. We get 100% accuracy of training data, 87% and 77% validation data, and 100% and 95% test data.
Assessing the Validity and Reliability of a Questionnaire for Evaluating Pharmaceutical Services at a Hospital Utami Putri Siregar, Giel; Rizka Amanda, Laura; Dirsam, Winarlin; Sari Dewi, Ratna
Journal Medical Informatics Technology Volume 2 No. 2, June 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i2.35

Abstract

Pharmaceutical services are vital components of the healthcare system that aim to ensure the appropriate, safe, and effective use of medicines. This study aims to develop and test the validity and reliability of a questionnaire for assessing the quality of pharmaceutical services at a hospital in Jakarta. The questionnaire was designed based on five service quality dimensions: tangibles, reliability, assurance, empathy, and responsiveness. An initial set of 23 statement items was tested for content validity by calculating the Content Validity Ratio (CVR) and Content Validity Index (CVI). Several items were eliminated for not meeting the validity threshold. Subsequently, construct validity was tested by calculating Pearson product-moment correlations on data from 100 respondents who met the inclusion criteria, resulting in 13 valid statement items with r > 0.148. Reliability tests indicated Cronbach’s Alpha values above 0.6 for all dimensions, demonstrating good internal consistency of the questionnaire. Hypothesis testing results showed that all statement items had a significant relationship with the total questionnaire score (p < 0.05). Therefore, the questionnaire is valid and reliable for evaluating the quality of pharmaceutical services at a hospital in Jakarta.
Co-Authors Andi Ibrahim Aziz, Faruq Rizka Amanda, Laura Sabara, Edi Sari Dewi, Ratna Utami Putri Siregar, Giel