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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi INTEGER: Journal of Information Technology Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal Of Artificial Intelligence And Software Engineering
Ardhon Rakhmadi, Ardhon
Jurusan Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember (ITS)
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Engineering Library & Information Science

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Journal : Journal Of Artificial Intelligence And Software Engineering

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Butterfly Feature Extraction Using HSV, Lacunarity, and CNN Rahayu, Putri Nur; Sukarno, Friska Intan; Augustino, Immanuel Freddy; Yuniati, R. A. Norromadani; Rakhmadi, Ardhon
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6876

Abstract

This study aims to extract the morphological features of butterflies using the HSV (Hue, Saturation, Value) and lacunarity. The HSV method is used to obtain color information from butterfly images. lacunarity is used to extract texture characteristic to enhance the visual representation of the object. These extracted features are used as input for the processing of classification using algorithm of Convolution Neural Network (CNN). Based on the experimental result, the classification has accuracy 70%. This accuracy indicates that the combination of HSV and lacunarity methods is sufficiently effective in describing of the visual butterflies features for automatic classification.
Co-Authors Ardiana, Mirza Augustino, Immanuel Freddy Aulia Rahma Annisa Dini Adni Navastara, Dini Adni Mulyo, Budi Mukhamad Nanik Suciati Rahayu, Putri Nur Sukarno, Friska Intan Thooriqoh, Hazna At Yudi Andika Yuniati, R. A. Norromadani