Ayyub Hamdanu Budi Nurmana MS
Universitas Sains dan Teknologi Komputer

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Pemanfaatan Fotografi Produk Berbasis Website Sebagai Media Promosi Pada UMKM Ovie Cake Semarang Lia Handayani; Ayyub Hamdanu Budi Nurmana MS; Muhammad Sholikhan
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3147

Abstract

Digital technologies have been developed very fast, and as a result, we have seen a big change in the way companies are marketing their products, especially in the case of Micro, Small, and Medium Enterprises (MSMEs). Ovie Cake, a local MSME in Semarang, is experiencing difficulties in seeking market expansion because the product photos on its social media have been fluctuating; thus, the engagement has dropped. The objective of this research is to find out the most applicable product photography methods and put together a promotional medium based on the website. The study utilized various methods such as an observation method, social media analysis, a photography experiment, and catalog-based website development. For photography, they picked still life combined with the 45-degree angle and high-key lighting. Properly lit product photos attract consumers’ attention and show the professionalism of the brand. The website, attracting users without borders, became a successful digital promotion platform to open new markets.
Visual Analytics Techniques for Large scale Multimedia Datasets: Interactive Visualization and Decision Support in Creative Industries and Big Data Applications Ayyub Hamdanu Budi Nurmana MS; Andik Prakasa Hadi; Rudjiono Rudjiono
Digital Multimedia and Visualization Technology Vol. 1 No. 1 (2026): March: Digital Multimedia and Visualization Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/dimuvi.v1i1.39

Abstract

This study explores the role of visual analytics in enhancing decision-making processes within creative industries, focusing on its application to large-scale multimedia datasets. Visual analytics integrates interactive visualization techniques with computational algorithms, enabling users to explore complex datasets intuitively and derive actionable insights. The research centers on the design and implementation of interactive dashboards tailored to the creative sector, particularly film, music, and advertising industries, to facilitate real-time data exploration. The study also investigates the usability of these tools through expert-based evaluations, aiming to assess their effectiveness in supporting informed and timely decision-making. The findings reveal that interactive visualizations significantly improve insight discovery and pattern recognition, enabling decision-makers to uncover hidden trends in large multimedia datasets. However, challenges related to scalability, user acceptance, and real-time processing were encountered during the implementation phase. The research highlights the practical benefits of integrating visual analytics into industry workflows, which include enhanced content creation, audience engagement, and strategic planning. Furthermore, the study identifies key visual analytics techniques such as dynamic dashboards, pattern recognition, data mining, and clustering, which are essential for analyzing multimedia data. The study concludes by emphasizing the potential for wider applications of visual analytics in other sectors, suggesting future research directions to improve tool performance, scalability, and user accessibility, as well as exploring the integration of emerging technologies like artificial intelligence and virtual reality.