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All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika
Adzkia, Hawarizmi Ummul
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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DETEKSI WARNA KULIT DAN REKOMENDASI PALET WARNA BERDASARKAN SEASONAL COLOR MENGGUNAKAN CNN Adzkia, Hawarizmi Ummul; Asriyanik, Asriyanik
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 2 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i2.20597

Abstract

The Personal Color trend has grown significantly, assisting individuals in selecting clothing colors that complement their skin tone. This research aims to develop a system using Convolutional Neural Networks (CNN) to detect skin tones from photos and recommend color palettes based on Seasonal Color Theory. The system categorizes skin tones into the four seasonal types: Winter, Summer, Autumn, and Spring, and provides tailored clothing color suggestions. By applying machine learning, this system offers a personalized solution for clothing selection, enhancing the shopping experience. It aligns with the growing popularity of Personal Color trends, helping users make more confident and informed color choices that suit their individual characteristics.
Co-Authors Asriyanik .