Samuel Gandang Gunanto
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Aspek Kewirausahaan Sosial Program Konservasi Dan Pelestarian Karya Budaya Indonesia Dalam Format Digital Troy, Troy; Sisnuhadi, Sisnuhadi; Gunanto, Samuel Gandang
Forum Bisnis Kewirausahaan Vol 9 No 2 (2020): Forum Bisnis dan Kewirausahaan
Publisher : LPPM Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/forbiswira.v9i2.12116

Abstract

Era revolusi industri 4.0 menghadirkan teknologi digital yang mendukung inovasi kewirausahaan sosial dalam usaha konservasi dan pelestarian karya budaya Indonesia. Konservasi dan pelestarian karya budaya Indonesia bertujuan mempertahankan nilai adiluhung bangsa Indonesia. Konservasi digital dilakukan dengan memanfaatkan perangkat fotografi, videografi dan teknologi 3D (photogrammetry 3D scan maupun 3D motion capture). Sedangkan pelestarian karya budaya dapat dilakukan dengan memaksimalkan publikasi melalui perangkat portabel dan tampilan visual 3D. Kewirausahaan sosial dalam konservasi dan pelestarian karya budaya menyasar masyarakat budaya sebagai pelaku dan masyarakat umum sebagai penerima manfaat sehingga dapat memberi dampak yang baik pada bidang pendidikan, pariwisata, sosial dan ekonomi. Penelitian ini menelaah aspek kewirausahaan sosial pada program konservasi dan pelestarian karya budaya Indonesia dalam format digital sehingga memberikan landasan pada usaha konservasi dan pelestarian karya budaya Indonesia dalam format digital yang berbasis kewirausahaan sosial
The Future of Animation: Exploring the Integration of Generative AI and the Role of Animators Troy; Gunanto, Samuel Gandang
Journal of Information Technology and Its Utilization Vol 8 No 1 (2025): June 2025
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.8.1.6000

Abstract

Artificial Intelligence (AI) capabilities significantly change the way creative actors in the production process work. Through a study of the impact of AI on the animation industry, this article highlights the shift of AI from basic automation to more complex roles. Multi-modal generative AI, such as Large Language Models (LLMs) and diffusion models, revolutionizes the animation workflow, changes the job description of animators, and creates new challenges and opportunities. The analysis is carried out on repetitive tasks such as in-betweening, rendering, and asset creation. Through the exploration of the application of diffusion models for the creation of image and video works, as well as the application of LLMs in the development of narratives and storyboards, animators are expected to focus more on conceptual aspects and increase their creativity. AI will be involved as an innovative partner. This partnership encourages various forms of new creative expression as well as collaborative and integrated workflows. It is undeniable that this leaves notes and challenges related to the potential shift in human resources and ethics. This article provides an explanation of the adaptations that must be made so that the integration of technology and humans can maximize human creativity, not to replace it.