Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Vol 8 No 1 (2024): JANUARY-MARCH 2024

Optimasi Penerapan Algoritma Yolo dan Data Augmentasi dalam Klasifikasi Pakaian Tradisional Kebaya

Mulyana, Dadang Iskandar (Unknown)
Sahroni (Unknown)



Article Info

Publish Date
01 Jan 2024

Abstract

Kebaya is one of Indonesia's traditional clothes which has a long history and is rich in culture. Each region or tribe in Indonesia has a kebaya with its own characteristics, including unique patterns, colors and decorations .Indonesian society want to know the kebaya from their area of origin but have difficulty distinguishing the kebayas because there are only slight differences in certain parts of the kebaya which are characteristic of kebaya from one area with kebaya from other regions. Therefore we need a system that can detect or classify traditional kebaya clothes in Indonesia. Researchers use the YOLOv8 version in making this system. The YOLOv8 algorithm goes through a classification system for kebaya clothes, processes such as annotation, preprocessing, augmentation, training to testing. The research results show good results with a confidence value of 90% - 97%. The final results of testing on 12 images show the output by knowing the kebaya class and good accuracy and producing an average accuracy value of 94%.

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Journal Info

Abbrev

jtik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware ...