Journal
Design and Quality Analysis of Nara Sela Contemporary Fashion with QR Code Based Interactive Fashion
TEKNOBUGA: Jurnal Teknologi Busana dan Boga · Vol. 14 No. 1 (2026) · pp. 65–78
- ISSN
- 2528-7087, 2085-4056
- Published
- 2026-01-20
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The development of the fashion industry in the digital age has encouraged the incorporation of interactive technology into contemporary fashion design. This study aims to (1) describe the design process of contemporary fashion of Nara Sela and (2) analyze its quality through the application of interactive features based on QR codes. The research uses the Research and Development (R&D) method using the PPE (Planning, Production, and Evaluation) development model. Data were collected through observation sheets involving five expert panelists and twenty trained panelists and analyzed using descriptive quantitative techniques. The results of the study show that 1) Nara Sela fashion design integrates QR codes as an integral design element rather than just serving as an information label. Digital content accessed through QR codes includes design concept narratives, fashion visuals, and photo and video documentation, which adds value by enhancing the user experience. 2) the results of the evaluation show that the quality of Nara Sela's fashion is categorized as very feasible based on aspects of design, aesthetics, sewing techniques, performance, and uniqueness. These findings have implications for the development of fashion education and digital fashion, particularly in promoting innovation in contemporary fashion that integrates aesthetic values with interactive user experiences.
Keywords
Collaboration network of the authors
40 authors · 91 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Yeri Sutopo | Affiliation unknown | 5 |
| Ade Novi Nurul Ihsani | Affiliation unknown | 3 |
| Nur Qudus | Affiliation unknown | 2 |
| Nelly Setyowati Anggraeni | Affiliation unknown | 2 |
| Samsudin Anis | Affiliation unknown | 2 |
| Adhi Kusumastuti | Affiliation unknown | 2 |
| Trisnani Widowati | Affiliation unknown | 2 |
| Sita Nurmasitah | Affiliation unknown | 2 |
| Roudlotus Sholikhah | Affiliation unknown | 2 |
| SRI WAHYUNI | Affiliation unknown | 2 |
| Muh Fakhrihun Na'am | Affiliation unknown | 2 |
| Jawade Hafidz | Affiliation unknown | 2 |
| Nur Shabrina | Affiliation unknown | 1 |
| Sri Handayani | University of Brawijaya | 1 |
| Delta Apriyani | Affiliation unknown | 1 |
| Amalia Shofi | Affiliation unknown | 1 |
| Retno Marlangen | Affiliation unknown | 1 |
| Wulansari Prasetyaningtyas | Affiliation unknown | 1 |
| Dwi Putri Asih | Affiliation unknown | 1 |
| Luluk Witanti | Affiliation unknown | 1 |
| Bilqis Lailatul Mardliyah | Affiliation unknown | 1 |
| Anindya Rahma Suwignyo | Affiliation unknown | 1 |
| Agita Ainur Rizqiyah | Affiliation unknown | 1 |
| Adinda Wibowo | Affiliation unknown | 1 |
| Titin Agustina | Affiliation unknown | 1 |
| Maria Krisnawati | Affiliation unknown | 1 |
| Sharfina Nur Wulandari | Affiliation unknown | 1 |
| Agita Ainur Rizqiyah | Affiliation unknown | 1 |
| Widdiyanti | Affiliation unknown | 1 |
| Putri Nurrohmah | Affiliation unknown | 1 |
| Intikana Mega Rizky | Affiliation unknown | 1 |
| Siti Nurrohmah | University of Indonesia | 1 |
| Dwi Retno | Affiliation unknown | 1 |
| Fitrah Sakdiyah | Affiliation unknown | 1 |
| Nabila Fitria Ainul Hukma | Affiliation unknown | 1 |
| Anggita Fortuna Dewi | Affiliation unknown | 1 |
| Wulidah Ning | Affiliation unknown | 1 |
| Yuni tri lestari | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.