Irfa Rifaah
Politeknik STTT Bandung

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Konstruksi Makna Visual dalam Iklan Fashion: Perbandingan antara Fotografi AI Generatif dan Fotografi Konvensional Dedit Priyono; Irfa Rifaah
MAVIS : Jurnal Desain Komunikasi Visual Vol 7 No 02 (2025): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v7i02.2102

Abstract

Advances in generative artificial intelligence (AI) technology have transformed the landscape of visual production in the fashion industry, particularly in the context of advertising photography. This study aims to analyse the construction of visual meaning and audience perception of fashion advertising images generated by generative AI compared to conventional photography. This research uses a mixed-methods approach, combining visual semiotic analysis with a Likert scale-based survey experiment. The results show that AI-based images display high visual aesthetics but face challenges in terms of authenticity and brand credibility. This study contributes to the understanding of visual culture in the post-photography era and offers a critical discourse on the field of fashion visual communication.
Desain Pakaian Luar yang Selaras dengan Konsep “Nol Limbah”: Dari Pola Datar hingga Simulasi Tiga Dimensi Irfa Rifaah; Tri Surya Hutama; Kuswinarti; Muhammad Arief
PANGGUNG Vol 36 No 3 (2026): Reimagining Arts and Culture: Tradition, Innovation, and Social Transformation
Publisher : LP2M ISBI Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26742/panggung.v36i3.4960

Abstract

In this modern day, fashion products can be developed and visualized using 3D garment simulation software, enabling designers to transform flat pattern into three dimensional formns on digital models. While conventional flat patterns typically follow basic shapes, zero-waste design requires pattern shapes to be developed in relation to fabric dimensions and material utilization. In this study, the zero-waste concept refers to the alignment between pattern shapes and fabric utilization to minimize material waste. The research focuses on loose-fitting, unisex outerwear as the object of study. A qualitative method is employed to examine the transformation of flat patterns into three-dimensional garments. The objective is to identify simple pattern configurations that correspond efficiently with marker layouts used in fabric cutting. The findings reveal that rectangular shapes with strategically placed cut-line openings provide the most effective solution for zero-waste outerwear. These results are demonstrated through 3D garment simulation to enhance understanding of pattern transformation.