KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Indonesia-Malaysia Batik Pattern Collaboration Creation with Artificial Intelligence Platform

Published date: May 09 2024

Journal Title: KnE Social Sciences

Issue title: International Conference on Art, Design, Education and Cultural Studies (ICADECS)

Pages: 180–186

DOI: 10.18502/kss.v9i15.16210

Authors:

Farid Abdullahfarid.abdullah@upi.eduUniversitas Pendidikan Indonesia, Bandung

Ahamad Tarmizi bin AzizanUniversiti Malaysia Kelantan, Kota Bharu

Aneeza Mohd AdnanUniversiti Technology MARA, Kelantan

Harris EffendiUniversitas Trisakti, Jakarta

Bambang Tri WardoyoUniversitas Trisakti, Jakarta

Abstract:

The problem with making batik in Indonesia and Malaysia so far is that it is still very manual and has not taken much advantage of technological advances. The development of Artificial Intelligence (AI) technology is currently very advanced, continues to innovate, and has even touched various aspects of human life. Limitations in ideas, human resources, knowledge, tools, and internet networks are the dominant conditions that cause problems in Indonesian and Malaysian batik creations. This study aims to use Artificial Intelligence to describe the combination of Indonesian and Malaysian batik patterns. This paper uses a descriptive-qualitative method with an experimental approach in the form of trials for the creation of batik patterns using the Imagine Artificial Intelligence platform; each trial is based on three basic patterns of batik, namely Sawat and Gurdha (Indonesia) and Orchid and Tiger (Malaysia). The results of this paper generated eight totally new Indonesian-Malaysian batik patterns. Artificial Intelligence (AI) was very helpful for the development of batik patterns. Through the creation of new batik patterns with the support of Artificial Intelligence (AI), it certainly creates new opportunities for the creation and business of batik to become more advanced. It is hoped that this paper will succeed in solving the problem of limited ideas in creating Indonesian-Malaysian batik motifs.

Keywords: Artificial Intelligence, batik, creation, Indonesia-Malaysia

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