Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal IIJSE
Catur Edi Widodo
Universitas Diponegoro, Semarang, Indonesia
Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
The L2-Effnet for Human Skin Disease Multiclass Classification Kurnia Adi Cahyanto; Kusworo Adi; Catur Edi Widodo
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 1 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i1.9384

Abstract

Skin diseases are common health problems that are often underestimated as most are mild and can be treated with over-the-counter medications, however, some types such as melanoma can be cancerous and deadly if not treated properly. Melanoma is caused by overexposure to ultraviolet light and has a 99% cure rate if diagnosed early, but decreases to 20% in advanced stages. In Indonesia, the uneven distribution of medical personnel and geographical challenges cause many cases of skin diseases not to be diagnosed well. This study develops a multi-class skin disease classification model using transfer learning by utilizing pre-trained models such as EfficientNetV2S to overcome data imbalance and improve accuracy. The dataset used is a combination of ISIC and Atlas Dermatology, which has been curated into 31 classes with a total of 3,399 samples, and data augmentation was performed to increase the sample size. The modified L2-EfficientNetV2S model showed a testing accuracy of 88.33%, higher than previous studies, demonstrating the potential of using deep learning in the early diagnosis of skin diseases to improve healthcare.
Co-Authors Kurnia Adi Cahyanto Kusworo Adi