Ekstraksi Palet Warna Digital Menggunakan K-Means Clustering Berbasis Web

Authors

  • Moh Farhan Nashiruddin Universitas Nusantara PGRI Kediri Indonesia
  • Umi Mahdiyah Universitas Nusantara PGRI Kediri Indonesia
  • Wahyu Cahyo Utomo Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/6xkjqf28

Abstract

Pemilihan warna dalam desain digital sering kali bergantung pada intuisi pengguna, sehingga hasil palet warna yang diperoleh dapat kurang konsisten dan tidak merepresentasikan warna dominan dari gambar. Penelitian ini bertujuan mengembangkan sistem ekstraksi palet warna digital berbasis web menggunakan metode K-Means Clustering. Sistem dibangun dengan Streamlit dan Python untuk memproses citra berformat JPG, JPEG, atau PNG. Tahapan sistem meliputi unggah gambar, resize citra, ekstraksi piksel RGB, pengelompokan warna menggunakan K-Means, pemilihan warna berdasarkan mood, visualisasi kode warna HEX, penyuntingan warna secara manual, pembuatan gradient theme, serta ekspor hasil palet. Hasil implementasi menunjukkan bahwa sistem mampu menghasilkan palet warna dominan secara otomatis, interaktif, dan mudah digunakan. Sistem ini dapat membantu desainer dalam menentukan inspirasi warna secara lebih cepat, objektif, dan sesuai dengan karakter visual gambar.. K-Means Clustering, palet warna, pengolahan citra

Keywords:

K-Means Clustering, palet warna, pengolahan citra

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Published

2026-07-20

Issue

Vol. 10 No. 2 (2026): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2026

Section

Articles

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How to Cite

Ekstraksi Palet Warna Digital Menggunakan K-Means Clustering Berbasis Web. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(2), 1662-1671. https://doi.org/10.29407/6xkjqf28