Research Article
Analysis of Fashion Product using Traditional Woven Textile and The Correlation with The Trend in Indonesia
@INPROCEEDINGS{10.4108/eai.2-11-2019.2294882, author={Yosepin Sri Ningsih and Jeani Widjaja}, title={Analysis of Fashion Product using Traditional Woven Textile and The Correlation with The Trend in Indonesia}, proceedings={Proceedings of the 1st Conference of Visual Art, Design, and Social Humanities by Faculty of Art and Design, CONVASH 2019, 2 November 2019, Surakarta, Central Java, Indonesia}, publisher={EAI}, proceedings_a={CONVASH}, year={2020}, month={8}, keywords={fashion product fashion trend indonesian traditional textile label self-actualization traditional woven textile}, doi={10.4108/eai.2-11-2019.2294882} }- Yosepin Sri Ningsih
Jeani Widjaja
Year: 2020
Analysis of Fashion Product using Traditional Woven Textile and The Correlation with The Trend in Indonesia
CONVASH
EAI
DOI: 10.4108/eai.2-11-2019.2294882
Abstract
Currently, the traditional woven textile product in Indonesia is not only used as traditional attire which showed the symbols of caste, but has become a wider commodity. One of the usages of traditional woven textiles is in fashion products. Fashion products that represent Indonesian locality are not limited to batik, traditional woventextile also widely used in various products in manylocal fashion labels. In this study, researchers describe the relationship between woven materials that being used in fashion products with fashion trend in Indonesia. Refers to Hierarchy of Needs theory mentioned by Abraham Maslow, the way of dressed is not only as a fulfillment of basic needs, but also as a self-actualization. Then, researchers classified the usage of traditional woven textile into fashion products in different level of fulfillment the appearance needs by analyzing data which is conducted by observing the market through distributing questionnaires, observing the products that have been sold by some labels and the trend that have been developed in Indonesia by the Indonesia Trend Forecaster.