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IMPLEMENTASI ALGORITMA KONVERSI CITRA KE POLA KARAWO PADA APLIKASI MOBILE BERBASIS FLUTTER Wati, Nursetia; Utina, Sunarti Dwi Putra
Jurnal Technopreneur (JTech) Vol 13 No 2 (2025): JURNAL TECHNOPRENEUR (November)
Publisher : UPPM Politeknik Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtech.v13i2.1551

Abstract

This study aims to implement an image-to-Karawo pattern conversion algorithm in a Flutter-based mobile application as part of the digitalization effort within Gorontalo’s creative industry. The system integrates several image processing stages, including preprocessing, adaptive thresholding, color clustering, edge simplification, and grid generation to produce Karawo patterns ready for embroidery reference. The development method includes interface design, algorithm implementation, and the integration of editing features such as brush tools, dynamic color selection, noise removal, line-thickness adjustment, and undo–redo functionality. The evaluation was performed using various input images—such as floral and human objects—to assess shape accuracy, edge clarity, and color-reduction capability. The results show that the application successfully preserves the main visual structure, produces consistent patterns, and provides editing flexibility that previous software did not support. In conclusion, the implementation of the image conversion algorithm in this mobile application effectively improves the efficiency of Karawo pattern design and offers a potential digital solution for culturally rooted fashion industries.