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Wandi Syahindra
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Arcitech: Journal of Computer Science and Artificial Intelligence
Published by Institut Agama Islam Negeri Curup
ISSN : 29623669     EISSN : 29622360     DOI : http://dx.doi.org/10.29240/arcitech
Core Subject : Science,
Computer Science & IT
Arcitech: Journal of Computer Science and Artificial Intelligence, is an Open Access and peer-reviewed journal published by the State Islamic Institute (IAIN) Curup. This journal focuses on the field of computer science and artificial intelligence covering all aspects of information technology, computer science, computer engineering, information systems, Software Engineering and its development, software engineering Computer networks, IoT, security systems, Simulation Modeling and Applied Computing, Computing High Performance, Image and speech processing, big data and data mining, and artificial intelligence. The journal is published by Institut Agama Islam Negeri (IAIN) Curup, online and printed twice a year, in June and December.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 61 Documents
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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.

Page 7 of 7 | Total Record : 61

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