STUDI PERBANDINGAN KARYA STORYBOARD MAHASISWA DENGAN IMAGE GENERATED AI

Rudi Kurnia, Arifpermana Ratum

Abstract


This research discusses the comparison between storyboards created manually by students and those generated using an AI Image Generator. With the rapid development of artificial intelligence (AI), its usage in education, particularly in visual design, has been increasing. This study investigates whether the outputs generated by AI are comparable to manual work in terms of design principles such as emphasis, rhythm, balance, unity, as well as scale and proportion. Data were collected from the storyboard assignments of BINUS Bandung students in the "Production and Storytelling" course, resulting in five samples that were compared with the output from the AI Image Generator. The results show that AI can accelerate the storyboard creation process and offer more dynamic visual alternatives. However, there are certain aspects that still require a human touch to achieve a more dynamic and expressive visualization. This study concludes that AI can be an effective tool in design education, particularly in helping students develop their visual creativity more efficiently. However, a deeper understanding is needed on how to optimize AI technology to align with the desired learning objectives and visual aesthetics.


Penelitian ini membahas perbandingan antara storyboard yang dibuat oleh mahasiswa secara manual dengan storyboard yang dihasilkan menggunakan AI Image Generator. Dengan semakin berkembangnya kecerdasan buatan (AI), penggunaannya dalam bidang pendidikan, khususnya desain visual, semakin meningkat. Studi ini meneliti apakah hasil karya yang dihasilkan oleh AI sebanding dengan karya manual dari segi prinsip desain seperti emphasis, ritme, balance, unity, serta skala dan proporsi. Data dikumpulkan dari tugas storyboard mahasiswa BINUS Bandung di mata kuliah "Production and Storytelling" dan dihasilkan lima sampel yang dibandingkan dengan output dari AI Image Generator. Hasilnya menunjukkan bahwa AI mampu mempercepat proses pembuatan storyboard dan memberikan alternatif visual yang lebih dinamis.  Meskipun demikian, ada beberapa aspek yang masih memerlukan sentuhan manusia untuk mencapai visualisasi yang lebih dinamis dan ekspresif. Penelitian ini menyimpulkan bahwa AI dapat menjadi alat bantu yang efektif pendidikan desain, khususnya dalam membantu mahasiswa mengembangkan kreativitas visual mereka dengan lebih efisien. Namun diperlukan pemahaman lebih dalam tentang cara mengoptimalkan teknologi AI agar sesuai dengan tujuan pembelajaran dan estetika visual yang diinginkan.



Keywords


AI; storyboard; image generated; text2image

References


Wadinambiarachchi, Samangi & Kelly, Ryan & Pareek, Saumya & Zhou, Qiushi & Velloso, Eduardo. (2024). The Effects of Generative AI on Design Fixation and Divergent Thinking. 10.1145/3613904.3642919.

Rudra, A. (2023). Enhancing Education with Generative AI: Transforming Complex Concepts into Visual Representations. Journal of Educational Technology, 42(3), 187-204.

Pise, Dr & Yadgiri, Naveen & Gaikwad, Preksha & Dusawar, Yashika & Nandanwar, Prathamesh. (2024). AI Image Generator. International Journal of Advanced Research in Science, Communication and Technology. 768-773. 10.48175/IJARSCT-18385.

Liu, V., & Chilton, L. B. (2022). Design guidelines for prompt engineering text-to-image generative models. In Chi conference on human factors in computing systems. New York, NY: Association for Computing Machinery. doi: 10.1145/3491102.3501825

Fikriadi, R. S., Zufria, I., & Nasution, A. B. (2022). Penerapan Augmented Reality Berbasis Android Sebagai Media Pembelajaran Pendidikan Seni Wayang dan Tarian Jawa. RABIT : Jurnal Teknologi dan Sistem Informasi Univrab, 7(1), 71-76. doi:10.36341/rabit.v7i1.2189

Enjellina, & Beyan, Eleonora & Rossy, Anastasya. (2023). Review of AI Image Generator: Influences, Challenges, and Future Prospects for Architectural Field. Journal of Artificial Intelligence in Architecture. 2. 53-65. 10.24002/jarina.v2i1.6662.

Rustan, Surianto. (2020). Mengenal Layout Cetak, UI/UX, Website dan Apps. Jakarta: Nulisbuku Jendela Dunia.

Lauer, David A.,& Pentak, Stephen (2011). Design Basics. Cengage Learning.

Oppenlaender, J., Linder, R., & Silvennoinen, J.M. (2023). Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering. ArXiv, abs/2303.13534.




DOI: https://doi.org/10.17509/e.v23i3.73841

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