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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Studi Seni Visual dan Desain: Les-Guet's
Troy
Institut Seni Indonesia Yogyakarta
Arts Humanities Computer Science & IT

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Visual Narrative through Motion Lines and Speed Lines: A Case Study of Contemporary 3D Animation Troy; Muhammad Adlan
Warna Komunikasi Vol 1 No 2 (2025): Journal of Visual Art and Design Studies: Les-Guet's
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/lg.v1i2.5491

Abstract

The development of 3D animated movies has adapted visual elements of comics, such as motion lines and speed lines, into digital media, but there has been no study that combines visual semiotics, narrative functions, and the transformation of comic styles into 3D animated movies. The purpose of this study is to map the semiotic mechanisms and dramatic functions of motion lines and speed lines through case studies of three movies, including Spider-Man: Across the Spider-Verse (2023), Puss in Boots: The Last Wish (2022), and The Bad Guys (2022). The method used is a descriptive qualitative approach: visual semiotics analysis to unravel denotative and connotative meanings, as well as narrative analysis to map the effects' contribution to the rhythm, conflict, and climax of the story. The results show that motion lines and speed lines operate in two ways: as markers of movement that communicate kinetic intensity, and as narrative devices that reinforce dramatic rhythm and audience affect. These effects also create an aesthetic hybridity between comics and cinema, providing an additional layer of interpretation that enhances affective engagement and dramatic understanding. This research provides theoretical and practical contributions to the study of visual semiotics and digital animation narrative design.
Analisis Sentimen Publik terhadap Pengaruh Kecerdasan Buatan pada Produksi Animasi Berbasis Data Media Sosial X Menggunakan Metode Lexicon-Based VADER Ginanjar Setyo Nugroho; Troy; Samuel Gandang Gunanto; Venus Khesya Tyasmara
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 6 No. 1 (2026): June 2026
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v6i1.16391

Abstract

Artificial Intelligence (AI) has emerged as a primary driver in various industries, yet its integration into animation production faces mixed reactions, creating a dualism between innovation and professional sustainability. Despite growing research on AI's technical efficiency in animation, there remains a significant gap in understanding public sentiment toward its broader impacts, particularly through large-scale social media analysis. This study aims to address this gap by analyzing public sentiment regarding the impact of AI on animation production. Using the Lexicon-Based VADER method, this study collected and analyzed 1,545 tweets from the social media platform X (formerly Twitter) during the period from June 1 to 30, 2025. The results showed a dominance of positive sentiment with 935 tweets, 385 neutral tweets, and 225 negative tweets. The results of this study are expected to provide insights, reference for decision-making, and further exploration. These findings not only highlight widespread support for AI but also underscore the need for ethical frameworks to mitigate job displacement risks, offering actionable implications for industry stakeholders to foster balanced human-AI collaboration in creative fields.
Co-Authors Ginanjar Setyo Nugroho Muhammad Adlan Samuel Gandang Gunanto Venus Khesya Tyasmara