Kecerdasan Buatan Generatif dalam Industri Animasi: Analisis Jaringan Pemetaan Bibliometrik 2021–2025
-
Published: December 30, 2025
-
Page: 232-250
Abstract
Perkembangan pesat teknologi generative artificial intelligence (generative AI) telah mengubah lanskap produksi konten visual, termasuk pada ranah animasi, computer graphics, dan visual effects. Namun demikian, peta intelektual yang menghubungkan generative AI secara spesifik dengan industri animasi belum banyak dipetakan secara sistematis. Penelitian ini bertujuan memetakan struktur intelektual dan tren perkembangan penelitian generative AI pada industri animasi melalui analisis bibliometrik berbasis basis data Scopus. Data dikumpulkan melalui strategi pencarian Boolean pada kata kunci generative AI dan turunannya yang dikombinasikan dengan istilah animasi, computer graphics, CGI, visual effects, dan industri kreatif, menghasilkan 335 dokumen final (315 artikel dan 20 makalah konferensi) yang terbit pada rentang tahun 2021–2025. Analisis dilakukan menggunakan VOSviewer untuk memetakan ko-okurensi kata kunci melalui visualisasi jaringan (network), kepadatan (density), dan sebaran waktu (overlay), serta analisis performa terhadap tren publikasi, sumber, sitasi, negara, dan institusi. Hasil menunjukkan lonjakan tajam publikasi pada 2024–2025 (92 dan 225 dokumen), dengan tema generative ai (72 kemunculan), artificial intelligence (50), dan generative artificial intelligence (28) sebagai simpul dominan yang berkelindan dengan tema turunan seperti diffusion model, aigc, chatgpt, dan creative industries. China (96 dokumen), Amerika Serikat (51), dan Britania Raya (28) tercatat sebagai kontributor geografis terbanyak. Dari keseluruhan korpus, hanya 82 dokumen (24,5%) yang secara eksplisit menyinggung animasi, CGI, atau visual effects, mengindikasikan bahwa penelitian tentang generative AI pada industri animasi masih menjadi subtema yang relatif marjinal dibandingkan penelitian generative AI secara umum. Temuan ini mengarah pada identifikasi research gap terkait minimnya kerangka konseptual khusus industri animasi serta membuka agenda riset mendatang mengenai integrasi generative AI dalam alur kerja produksi animasi profesional.
- Generative Artificial Intelligence; Industri Animasi; Analisis Bibliometrik; Vosviewer; Scopus; Pemetaan Ilmu

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Agbo, F. J., Olivia, C., Oguibe, G., Sanusi, I. T., & Sani, G. (2025). Computing Education Using Generative Artificial Intelligence Tools: A Systematic Literature Review. Computers And Education Open, 9. Https://Doi.Org/10.1016/J.Caeo.2025.100266
- Ali, S., Dipaola, D., Lee, I., Sindato, V., Kim, G., Blumofe, R., & Breazeal, C. (2021). Children As Creators, Thinkers And Citizens In An Ai-Driven Future. Computers And Education: Artificial Intelligence, 2. Https://Doi.Org/10.1016/J.Caeai.2021.100040
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-Tool For Comprehensive Science Mapping Analysis. Journal Of Informetrics, 11(4), 959–975. Https://Doi.Org/10.1016/J.Joi.2017.08.007
- Bariah, L., Zhao, Q., Zou, H., Tian, Y., Bader, F., & Debbah, M. (2024). Large Generative Ai Models For Telecom: The Next Big Thing? Ieee Communications Magazine, 62(11), 84–90. Https://Doi.Org/10.1109/Mcom.001.2300364
- Bender, S. (2025). Generative-Ai, The Media Industries, And The Disappearance Of Human Creative Labour. Media Practice And Education, 26(2), 200–217. Https://Doi.Org/10.1080/25741136.2024.2355597
- Bender, S. M. (2023). Coexistence And Creativity: Screen Media Education In The Age Of Artificial Intelligence Content Generators. Media Practice And Education, 24(4), 351–366. Https://Doi.Org/10.1080/25741136.2023.2204203
- Celis Bueno, C., Chow, P.-S., & Popowicz, A. (2025). Not “What”, But “Where Is Creativity?”: Towards A Relational-Materialist Approach To Generative Ai. Ai & Society, 40(2), 339–351. Https://Doi.Org/10.1007/S00146-024-01921-3
- Chen, M., Liu, M., Wang, C., Song, X., Zhang, Z., Xie, Y., & Wang, L. (2024). Cross-Modal Graph Semantic Communication Assisted By Generative Ai In The Metaverse For 6g. Research, 7. Https://Doi.Org/10.34133/Research.0342
- Cuartielles, R., Ramon-Vegas, X., & Pont-Sorribes, C. (2023). Retraining Fact-Checkers: The Emergence Of Chatgpt In Information Verification. Profesional De La Información, 32(5). Https://Doi.Org/10.3145/Epi.2023.Sep.15
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How To Conduct A Bibliometric Analysis: An Overview And Guidelines. Journal Of Business Research, 133, 285–296. Https://Doi.Org/10.1016/J.Jbusres.2021.04.070
- El Saddik, A., Ahmad, J., Khan, M., Abouzahir, S., & Gueaieb, W. (2025). Unleashing Creativity In The Metaverse: Generative Ai And Multimodal Content. Acm Transactions On Multimedia Computing, Communications, And Applications, 21(7), 1–43. Https://Doi.Org/10.1145/3713075
- Foo, L. G., Rahmani, H., & Liu, J. (2025). Ai-Generated Content (Aigc) For Various Data Modalities: A Survey. Acm Computing Surveys, 57(9). Https://Doi.Org/10.1145/3728633
- Franceschelli, G., & Musolesi, M. (2025). On The Creativity Of Large Language Models. Ai & Society, 40(5), 3785–3795. Https://Doi.Org/10.1007/S00146-024-02127-3
- French, F., Levi, D., Maczo, C., Simonaityte, A., Triantafyllidis, S., & Varda, G. (2023). Creative Use Of Openai In Education: Case Studies From Game Development. Multimodal Technologies And Interaction, 7(8). Https://Doi.Org/10.3390/Mti7080081
- Gołąb-Andrzejak, E. (2025). The Impact Of Generative Ai And Chatgpt On Creating Digital Advertising Campaigns. Cybernetics And Systems, 56(8), 1130–1144. Https://Doi.Org/10.1080/01969722.2023.2296253
- Guo, S., Li, Q., Gao, M., Zhu, X., & Rida, I. (2025). Generalizable Deepfake Detection Via Spatial Kernel Selection And Halo Attention Network. Image And Vision Computing, 160. Https://Doi.Org/10.1016/J.Imavis.2025.105582
- He, K., Yao, K., Zhang, Q., Yu, J., Liu, L., & Xu, L. (2024). Dresscode: Autoregressively Sewing And Generating Garments From Text Guidance. Acm Transactions On Graphics, 43(4). Https://Doi.Org/10.1145/3658147
- Hynek, N., Gavurova, B., & Kubak, M. (2025). Risks And Benefits Of Artificial Intelligence Deepfakes: Systematic Review And Comparison Of Public Attitudes In Seven European Countries. Journal Of Innovation And Knowledge, 10(5). Https://Doi.Org/10.1016/J.Jik.2025.100782
- Jiang, P., Sonne, C., Li, W., You, F., & You, S. (2024). Preventing The Immense Increase In The Life-Cycle Energy And Carbon Footprints Of Llm-Powered Intelligent Chatbots. Engineering, 40, 202–210. Https://Doi.Org/10.1016/J.Eng.2024.04.002
- Jo, H., Lee, J.-K., Lee, Y.-C., & Choo, S. (2024). Generative Artificial Intelligence And Building Design: Early Photorealistic Render Visualization Of Façades Using Local Identity-Trained Models. Journal Of Computational Design And Engineering, 11(2), 85–105. Https://Doi.Org/10.1093/Jcde/Qwae017
- Lan, C., Wang, Y., Wang, C., Song, S., & Gong, Z. (2023). Application Of Chatgpt-Based Digital Human In Animation Creation. Future Internet, 15(9). Https://Doi.Org/10.3390/Fi15090300
- Lin, Y., Gao, Z., Du, H., Niyato, D., Kang, J., Jamalipour, A., & Shen, X. S. (2024). A Unified Framework For Integrating Semantic Communication And Ai-Generated Content In Metaverse. Ieee Network, 38(4), 174–181. Https://Doi.Org/10.1109/Mnet.2023.3321539
- Malakul, S. (2025). Exploring Factors Influencing Teachers’ Acceptance Of Ai Tools For Creating Animated Educational Videos With Pedagogical Agents. Journal Of Computer Assisted Learning, 41(4). Https://Doi.Org/10.1111/Jcal.70083
- Matsiola, M., Lappas, G., & Yannacopoulou, A. (2024). Generative Ai In Education: Assessing Usability, Ethical Implications, And Communication Effectiveness. Societies, 14(12). Https://Doi.Org/10.3390/Soc14120267
- O’toole, K., & Horvát, E.-Á. (2024). Extending Human Creativity With Ai. Journal Of Creativity, 34(2). Https://Doi.Org/10.1016/J.Yjoc.2024.100080
- Po, R., Yifan, W., Golyanik, V., Aberman, K., Barron, J. T., Bermano, A., Chan, E., Dekel, T., Holynski, A., Kanazawa, A., Liu, C. K., Liu, L., Mildenhall, B., Nießner, M., Ommer, B., Theobalt, C., Wonka, P., & Wetzstein, G. (2024). State Of The Art On Diffusion Models For Visual Computing. Computer Graphics Forum, 43(2). Https://Doi.Org/10.1111/Cgf.15063
- Pushparaj, P., & Kushwaha, B. P. (2023). Communicate Your Audience Through Virtual Influencer: A Systematic Literature Review. Journal Of Content, Community And Communication, 17(9), 31–45. Https://Doi.Org/10.31620/Jccc.06.23/04
- Schetinger, V., Di Bartolomeo, S., El-Assady, M., Mcnutt, A., Miller, M., Passos, J. P. A., & Adams, J. L. (2023). Doom Or Deliciousness: Challenges And Opportunities For Visualization In The Age Of Generative Models. Computer Graphics Forum, 42(3), 423–435. Https://Doi.Org/10.1111/Cgf.14841
- Sohail, S., Sajjad, S. M., Zafar, A., Iqbal, Z., Muhammad, Z., & Kazim, M. (2025). Deepfake Image Forensics For Privacy Protection And Authenticity Using Deep Learning. Information, 16(4). Https://Doi.Org/10.3390/Info16040270
- Surbakti, F. P. S. (2025). Systematic Literature Review On Generative Ai: Ethical Challenges And Opportunities. International Journal Of Advanced Computer Science And Applications, 16(5), 307–315. Https://Doi.Org/10.14569/Ijacsa.2025.0160530
- Van Eck, N. J., & Waltman, L. (2010). Software Survey: Vosviewer, A Computer Program For Bibliometric Mapping. Scientometrics, 84(2), 523–538. Https://Doi.Org/10.1007/S11192-009-0146-3
- Vartiainen, H., Tedre, M., & Jormanainen, I. (2023). Co-Creating Digital Art With Generative Ai In K-9 Education: Socio-Material Insights. International Journal Of Education Through Art, 19(3), 405–423. Https://Doi.Org/10.1386/Eta_00143_1
- Wang, Y., Liu, H., Gao, S., & Tang, X. (2023). Animation2api: Api Recommendation For The Implementation Of Android Ui Animations. Ieee Transactions On Software Engineering, 49(9), 4411–4428. Https://Doi.Org/10.1109/Tse.2023.3294971
- Wang, Y., Wang, L., & Siau, K. L. (2025). Human-Centered Interaction In Virtual Worlds: A New Era Of Generative Artificial Intelligence And Metaverse. International Journal Of Human-Computer Interaction, 41(2), 1459–1501. Https://Doi.Org/10.1080/10447318.2024.2316376
- Wang, Z., Pan, H.-R., Li, J.-S., & Niu, S.-F. (2024). Exploring Product Rendering Generation Design Catering To Multi-Emotional Needs Through The Superiority Chart-Entropy Weight Method And Stable Diffusion Model. Advanced Engineering Informatics, 62. Https://Doi.Org/10.1016/J.Aei.2024.102809
- Xu, R., & Wang, Z. (2024). Generative Artificial Intelligence In Healthcare From The Perspective Of Digital Media: Applications, Opportunities And Challenges. Heliyon, 10(12). Https://Doi.Org/10.1016/J.Heliyon.2024.E32364
- Yao, X., Zhong, Y., & Cao, W. (2025). The Analysis Of Generative Artificial Intelligence Technology For Innovative Thinking And Strategies In Animation Teaching. Scientific Reports, 15(1). Https://Doi.Org/10.1038/S41598-025-03805-Y
- Zeng, P., Gao, W., Li, J., Yin, J., Chen, J., & Lu, S. (2025). Automated Residential Layout Generation And Editing Using Natural Language And Images. Automation In Construction, 174. Https://Doi.Org/10.1016/J.Autcon.2025.106133
- Zhang, S., Li, H., Sun, K., Chen, H., Wang, Y., & Li, S. (2025). Security And Privacy Challenges Of Aigc In Metaverse: A Comprehensive Survey. Acm Computing Surveys, 57(10). Https://Doi.Org/10.1145/3729419
- Zhou, Y., Zhang, Z., Jia, J., Jiang, Y., Liu, X., Min, X., & Zhai, G. (2025). Who Is A Better Imitator: Subjective And Objective Quality Assessment Of Animated Humans. Ieee Transactions On Circuits And Systems For Video Technology, 35(10), 10047–10058. Https://Doi.Org/10.1109/Tcsvt.2025.3572000