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All Journal Jurnal Sistim Informasi dan Teknologi Mavis: Jurnal Desain Komunikasi Visual
Dedit Priyono
Politeknik STTT Bandung
Computer Science & IT Decision Sciences, Operations Research & Management

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Evaluation and Improvement of E-Grocery Mobile Application User Interface Design Using Usability Testing and Human Centered Design Approach Glisina Dwinoor Rembulan; Pas Mahyu Akhirianto; Dedit Priyono; Dendy K. Pramudito; Dedy Irwan
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i3.282

Abstract

This study aims to determine the usability value of the e-grocery application interface design before and after repairs are carried out and provide recommendations for interface improvement designs using the Human-Centered Design (HCD) approach. The usability testing method and the system usability scale questionnaire are used to evaluate usability. The usability evaluation and design improvements to the e-grocery application have increased the effectiveness value of lower than 20% and an efficiency value of lower than 30%, with the task processing time needed by respondents being faster and improved by more than 900 seconds. And the value of satisfaction with the SUS score for the improvement design evaluation has increased, with a score difference of 30 points from the SUS score for evaluating e-grocery applications.
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.
Co-Authors Dedy Irwan Dendy K. Pramudito Glisina Dwinoor Rembulan Irfa Rifaah Pas Mahyu Akhirianto