Perancangan Karakter Superhero Pada Buku Ilustrasi Dengan Pola Suku Jawa dan Dayak
DOI:
https://doi.org/10.47134/dkv.v1i1.2166Keywords:
Buku ilustrasi, karakter superhero, desain karakterAbstract
Kajian ilmu desain dan visual sebagai masih relatif baru berkembang, memungkinakan upaya pengkajian dan penjelasan dalam budaya kontemporer yang sedang berkembang kini serta mengkaji juga budaya visual Indonesia yang telah berkembang. Kondisi tersebut digerakkan oleh perkembangan peradaban visual selama beberapa sepuluh tahun terakhir yang tidak lepas kebangkitannya oleh teknologi informatika dan komunikasi, sehingga penelusuran budaya visual tidak dapat lagi hanya dibatasi dari sesuatu yang tampak saja. Upaya untuk menggabungkan budaya lokal Indonesia dengan desain karakter modern. Dalam konteks ini, penelitian ini bertujuan untuk mengungkapkan proses perancangan yang menarik dan informatif melalui pengembangan buku ilustrasi. Melalui studi literatur, wawancara dengan narasumber terkait, dan observasi langsung, penelitian ini memfokuskan pada perancangan karakter superhero yang memadukan pola, aksesoris, dan pakaian budaya suku Jawa dan Dayak. Hasil yang ingin dicapai dari penelitian ini adalah buku desain karakter superhero dengan pola suku jawa dan dayak yang dirancang dengan ilustrasi visual agar dapat dipahami dan dimengerti serta meningkatkan pemahaman generasi muda terhadap warisan budaya lokal Indonesia. Hasil perancangan berupa buku yang mencakup pemberian identitas dan pembuatan sketsa awal, lineart, hingga ke tahap pewarnaan dan penyelesaian dengan ilustrasi yang menarik sehingga dapat menarik para khalayak.
References
Ahumada-Newhart, V. (2019). Going to school on a robot: Robot and user interface design features that matter. ACM Transactions on Computer-Human Interaction, 26(4), 1–28. https://doi.org/10.1145/3325210 DOI: https://doi.org/10.1145/3325210
Azevedo, R. G. D. A. (2020). Visual Distortions in 360° Videos. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2524–2537. https://doi.org/10.1109/TCSVT.2019.2927344 DOI: https://doi.org/10.1109/TCSVT.2019.2927344
Chakareski, J. (2020). Viewport-Adaptive Scalable Multi-User Virtual Reality Mobile-Edge Streaming. IEEE Transactions on Image Processing, 29, 6330–6342. https://doi.org/10.1109/TIP.2020.2986547 DOI: https://doi.org/10.1109/TIP.2020.2986547
Donaghy, E. (2019). Acceptability, benefits, and challenges of video consulting: A qualitative study in primary care. British Journal of General Practice, 69(686). https://doi.org/10.3399/bjgp19X704141 DOI: https://doi.org/10.3399/bjgp19X704141
Drager, K. D. R. (2019). AAC technologies with visual scene displays and “just in time” programming and symbolic communication turns expressed by students with severe disability. Journal of Intellectual and Developmental Disability, 44(3), 321–336. https://doi.org/10.3109/13668250.2017.1326585 DOI: https://doi.org/10.3109/13668250.2017.1326585
Galati, R. (2020). Experimental Setup Employed in the Operating Room Based on Virtual and Mixed Reality: Analysis of Pros and Cons in Open Abdomen Surgery. Journal of Healthcare Engineering, 2020. https://doi.org/10.1155/2020/8851964 DOI: https://doi.org/10.1155/2020/8851964
Gretzel, U. (2019). Smart destination brands: semiotic analysis of visual and verbal signs. International Journal of Tourism Cities, 5(4), 560–580. https://doi.org/10.1108/IJTC-09-2019-0159 DOI: https://doi.org/10.1108/IJTC-09-2019-0159
Guenther, L. (2021). Framing as a Concept for Health Communication: A Systematic Review. Health Communication, 36(7), 891–899. https://doi.org/10.1080/10410236.2020.1723048 DOI: https://doi.org/10.1080/10410236.2020.1723048
Guo, S. (2019). Visual Progression Analysis of Event Sequence Data. IEEE Transactions on Visualization and Computer Graphics, 25(1), 417–426. https://doi.org/10.1109/TVCG.2018.2864885 DOI: https://doi.org/10.1109/TVCG.2018.2864885
Helfaya, A. (2019). Exploring the quality of corporate environmental reporting: Surveying preparers’ and users’ perceptions. Accounting, Auditing and Accountability Journal, 32(1), 163–193. https://doi.org/10.1108/AAAJ-04-2015-2023 DOI: https://doi.org/10.1108/AAAJ-04-2015-2023
Ismail, A. A. (2019). Technical competencies in digital technology towards industrial revolution 4.0. Journal of Technical Education and Training, 11(3), 55–62. https://doi.org/10.30880/jtet.2019.11.03.008 DOI: https://doi.org/10.30880/jtet.2019.11.03.008
Jafri, Z. (2020). Digital Smile Design-An innovative tool in aesthetic dentistry. Journal of Oral Biology and Craniofacial Research, 10(2), 194–198. https://doi.org/10.1016/j.jobcr.2020.04.010 DOI: https://doi.org/10.1016/j.jobcr.2020.04.010
Kohn, A. (2020). Principles of Corticocortical Communication: Proposed Schemes and Design Considerations. Trends in Neurosciences, 43(9), 725–737. https://doi.org/10.1016/j.tins.2020.07.001 DOI: https://doi.org/10.1016/j.tins.2020.07.001
Kusumasondjaja, S. (2020). Exploring the role of visual aesthetics and presentation modality in luxury fashion brand communication on Instagram. Journal of Fashion Marketing and Management, 24(1), 15–31. https://doi.org/10.1108/JFMM-02-2019-0019 DOI: https://doi.org/10.1108/JFMM-02-2019-0019
Lee, H. Y. (2020). Neural Design Network: Graphic Layout Generation with Constraints. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12348, 491–506. https://doi.org/10.1007/978-3-030-58580-8_29 DOI: https://doi.org/10.1007/978-3-030-58580-8_29
Li, H. (2019). Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video. IEEE Transactions on Knowledge and Data Engineering, 31(5), 996–1009. https://doi.org/10.1109/TKDE.2018.2848260 DOI: https://doi.org/10.1109/TKDE.2018.2848260
Li, J. Y. (2021). Distributed H∞State Estimator Design for Time-Delay Periodic Systems over Scheduling Sensor Networks. IEEE Transactions on Cybernetics, 51(1), 462–472. https://doi.org/10.1109/TCYB.2019.2894392 DOI: https://doi.org/10.1109/TCYB.2019.2894392
Mathisen, A. (2019). Insideinsights: Integrating data-driven reporting in collaborative visual analytics. Computer Graphics Forum, 38(3), 649–661. https://doi.org/10.1111/cgf.13717 DOI: https://doi.org/10.1111/cgf.13717
Morra, L. (2019). Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design. IEEE Transactions on Vehicular Technology, 68(10), 9438–9450. https://doi.org/10.1109/TVT.2019.2933601 DOI: https://doi.org/10.1109/TVT.2019.2933601
Onorati, T. (2019a). From social networks to emergency operation centers: A semantic visualization approach. Future Generation Computer Systems, 95, 829–840. https://doi.org/10.1016/j.future.2018.01.052
Onorati, T. (2019b). From social networks to emergency operation centers: A semantic visualization approach. Future Generation Computer Systems, 95, 829–840. https://doi.org/10.1016/j.future.2018.01.052 DOI: https://doi.org/10.1016/j.future.2018.01.052
Ruth, K. (2019). Secure multi-user content sharing for augmented reality applications. Proceedings of the 28th USENIX Security Symposium, 141–158.
Saracino, A. (2019). Haptic feedback in the da Vinci Research Kit (dVRK): A user study based on grasping, palpation, and incision tasks. International Journal of Medical Robotics and Computer Assisted Surgery, 15(4). https://doi.org/10.1002/rcs.1999 DOI: https://doi.org/10.1002/rcs.1999
Schloss, K. B. (2019). Mapping Color to Meaning in Colormap Data Visualizations. IEEE Transactions on Visualization and Computer Graphics, 25(1), 810–819. https://doi.org/10.1109/TVCG.2018.2865147 DOI: https://doi.org/10.1109/TVCG.2018.2865147
Schnack, A. (2019). Immersive virtual reality technology in a three-dimensional virtual simulated store: Investigating telepresence and usability. Food Research International, 117, 40–49. https://doi.org/10.1016/j.foodres.2018.01.028 DOI: https://doi.org/10.1016/j.foodres.2018.01.028
Schneider, C. E. (2019). Potential Cognitive Benefits From Playing Music Among Cognitively Intact Older Adults: A Scoping Review. Journal of Applied Gerontology, 38(12), 1763–1783. https://doi.org/10.1177/0733464817751198 DOI: https://doi.org/10.1177/0733464817751198
Shirani, A. (2020). Learning emphasis selection for written text in visual media from crowd-sourced label distributions. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 1167–1172. DOI: https://doi.org/10.18653/v1/P19-1112
Sun, D. (2020). A New Mixed-Reality-Based Teleoperation System for Telepresence and Maneuverability Enhancement. IEEE Transactions on Human-Machine Systems, 50(1), 55–67. https://doi.org/10.1109/THMS.2019.2960676 DOI: https://doi.org/10.1109/THMS.2019.2960676
Tang, Y. (2020). Construction of force haptic reappearance system based on Geomagic Touch haptic device. Computer Methods and Programs in Biomedicine, 190. https://doi.org/10.1016/j.cmpb.2020.105344 DOI: https://doi.org/10.1016/j.cmpb.2020.105344
Tiede, G. (2019). Meta-analysis of naturalistic developmental behavioral interventions for young children with autism spectrum disorder. Autism, 23(8), 2080–2095. https://doi.org/10.1177/1362361319836371 DOI: https://doi.org/10.1177/1362361319836371
