Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer

Implementasi Algoritma CNN dalam Identifikasi Infeksi Jamur Superfisialis

Alfandi Mualo (Unknown)
Fawwaz Ikbar (Unknown)
Elya Juni Arta Sinaga (Unknown)
Eka Yulia Putri (Unknown)



Article Info

Publish Date
30 Nov 2023

Abstract

Mushrooms, as eukaryotic organisms that dominate the kingdom Fungi, play a crucial role as decomposers of organic matter in ecosystems. The diversity of mushrooms encompasses a variety of species, ranging from microscopic to macroscopic, widely distributed in various environments. Superficial fungal infections, or superficial mycoses, focus on fungal infections limited to the surface of the skin, nails, or hair. Such infections are typically localized, not penetrating deep into tissues and remain primarily a local condition. In the context of this study, the optimal model developed through training successfully achieved a validation accuracy of 92.590% and a training accuracy of 88.933%. Evaluation results indicate a precision value of 94%, a recall value of 93%, and an F1-score value of 92%. These findings highlight the success of the model in classifying and evaluating superficial fungal infections with high precision.

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Journal Info

Abbrev

teknik

Publisher

Subject

Computer Science & IT

Description

Ruang lingkup Jurnal Simetris meliputi bidang Informatika, Teknik Mesin, Teknik Elektro,Teknik Sipil, Teknik Industri dan Ilmu Komputer Design Manufacture Konversi Energi Material Data analysis Natural Language Processing Artificial Intelligence Neural Networks Pattern Recognition Image Processing ...