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All Journal Infotekmesin Jurnal Informatika: Jurnal Pengembangan IT
Adam Prayogo Kuncoro
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Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Review FotoForensic.com dengan Teknik Eror Level Analysis dan JPEG untuk mengetahui Citra Asli Fajar Mahardika; Aurora Dwi Khatulistian; Adam Prayogo Kuncoro
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 1 (2018): JPIT, Januari 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i1.690

Abstract

In this modern era of photography, many facilities including software or hardware can be used as a tool to produce better images and so on falsified images. This research aimed to simulate falsified image detection, utilizing developed error level analysis method. The output of this research is a decision whether an image is authentic one or falsified one. From the testing phase, it can be concluded that the developed method error level analysis method resulted a good detection accuracy.
Penerapan Multi-Palette Color untuk Pemberian Saran Pemilihan Warna Tema Desain Visual Vektor Suliswaningsih; Adam Prayogo Kuncoro; Ali Nur Ikhsan; Muhammad Thoriq Jamil; Syahrul Sani
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2081

Abstract

In graphic design, many creative applications offer many templates. This design platform is suitable for creative designers and hobbyists such as marketers, bloggers, social media managers, etc. In a design workflow, users select a template and replace elements with their resources. Instead of creating one color palette for all elements, researchers extract multiple color palettes from each visual element in a graphic document and then combine them into a set of colors. Researchers design sample color schemes to complement color sets and we recommend colors that might be determined based on the color context in a multi-palette. Researchers conducted model training and created a color recommendation system for a collection of vector visual designs. The proposed color recommendation method is targeted to be a color prediction medium, as well as a color recommendation system on vector media. The results of this study are in the form of color recommendations for vector graphic design based on a multi-palette of visual elements.
Co-Authors Ali Nur Ikhsan Aurora Dwi Khatulistian Mahardika, Fajar Muhammad Thoriq Jamil Suliswaningsih Syahrul Sani