Nahumarury, Azzahra Raihani (2025) IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR (KNN) PADA APLIKASI REKOMENDASI PAKAIAN BERBASIS WEB (TA.1.25.026). Diploma thesis, Universitas Logistik dan Bisnis Internasional.
Full text not available from this repository.Abstract
Confusion in choosing clothing that suits your style, body shape, and activity needs is a common problem for many women, especially those who wear the hijab. This study designed and built an outfit recommendation web application based on the K-Nearest Neighbor (KNN) algorithm to provide relevant and personalized outfit suggestions. The system was developed using a prototyping method, with a Vue.js-based frontend, a Python Flask backend, and data storage in MongoDB. The application features input preferences such as category (hijab/non- hijab), body shape, face shape, color, style, weather, and event. The KNN algorithm is used to match user input with a dataset of clothing items encoded as a numeric vector. Recommendations are displayed in the form of a combination of top, bottom, and hijab images (if wearing a hijab), along with purchase links from marketplaces. Test results show that the system is capable of providing fast and relevant recommendations, making it easier for users to choose outfits according to their needs. Keywords: Recommendation System, K-Nearest Neighbor, outfit, body shape, Vue.js, Flask
| Item Type: | Thesis (Diploma) |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Sekolah Vokasi > Teknik Informatika D3 |
| Depositing User: | PKL LIMA LIMA |
| Date Deposited: | 26 Sep 2025 07:32 |
| Last Modified: | 26 Sep 2025 07:32 |
| URI: | http://eprints.ulbi.ac.id/id/eprint/3548 |
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