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 (Universitas Negeri Medan)
Fawwaz Ikbar (Universitas Negeri Medan)
Elya Juni Arta Sinaga (Universitas Negeri Medan)
Eka Yulia Putri (Universitas Negeri Medan)



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

Description

Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer diterbitkan Pusat Riset dan Inovasi Nasional, terbit setahun Tiga kali (Maret, Juli dan November) menerapkan proses peer-review dalam memilih artikel berkualitas berdasarkan penelitian ilmiah dan teoritis. Ruang lingkup Jurnal Teknik meliputi ...