eprintid: 7415 rev_number: 7 eprint_status: archive userid: 24 dir: disk0/00/00/74/15 datestamp: 2025-07-07 04:40:15 lastmod: 2025-07-07 04:40:15 status_changed: 2025-07-07 04:40:15 type: article metadata_visibility: show creators_name: Cahyaningrum, Yuniana title: Pemanfaatan Artificial Intelligence (AI) untuk Kustomisasi Buku Gambar Panel dan Elemen Dekoratif Keramik ispublished: pub subjects: AF divisions: sch_soc full_text_status: public keywords: Artificial Intelligence, panel design, ceramics, customization, generative design, digital art abstract: Advances in Artificial Intelligence (AI) technology have opened new opportunities in the fields of art and design, including in the development of ceramic-based panel drawing books and decorative elements. This study explores the use of AI as a tool in the design customization process with a focus on translating the visual and textural characteristics of ceramics into an illustrative panel format. Through a machine learning and generative design-based approach, AI can analyze the motifs, shapes, colors, and textures typical of traditional ceramics to then produce unique and personal designs. This customization realizes the creation of panel drawing books that are not only aesthetic but also have a closeness to the preferences of certain users and cultures. The results of the study shows that the use of AI in this context accelerates the design process, expands the visual image, and increases the relevance of the work to modern audiences. However, the integration of technology also raises ethical and artistic challenges that need to be responded to with a collaborative approach between artists, designers, and technology. date: 2025-04-20 date_type: completed publication: Jurnal Pustaka Pustaka Mandiri volume: 5 number: 1 publisher: Jurnal Pustaka pagerange: 1-5 refereed: FALSE issn: 2809-4069 official_url: https://repository.isi-ska.ac.id referencetext: Bainomugisha, E., Ssematimba, J., Okedi, D., Nsubuga, A., Banda, M., Settala, G. W., & Lubisia, G. (2023). AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings. HardwareX, 16(May), e00482. https://doi.org/10.1016/j.ohx.2023.e00482 2) Cahyaningrum, Y. (2023). Penerapan Artificial Intelligence Dalam Dunia Pendidikan. Amplifier, 13(2), 62–68. https://stuvia.id/tips-belajar/artificial-intelligence-dalampendidikan/. 3) Cahyaningrum, Y., Asif, M., Ihsan, A., & Rezki, Z. (2025). 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