Implementasi Collaborative Filtering Pada Aplikasi E-Commerce Penyewaan Costume Cosplay

Muhammad Eko Prasetyo (Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Andreas Nugroho Sihananto (Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Firza Prima Aditiawan (Universitas Pembangunan Nasional “Veteran” Jawa Timur)

Jurnal Publikasi Teknik Informatika
Vol. 4 No. 1 (2025): Januari: Jurnal Publikasi Teknik Informatika

Cosplay, a global popular cultural phenomenon, presents a challenge for cosplayers in obtaining suitable costumes. For instance, with the surge in cosplay events in Surabaya in July 2023, the development of a costume rental application could be a solution. This application allows cosplayers to easily rent costumes, reducing the cost and effort of creating their own attire. Utilizing Collaborative Filtering and K-Nearest Neighbor (K-NN) methods, the app will recommend costumes based on user interactions within an implicit feedback system. This research aims to create a practical and cost-effective solution for cosplayers in fulfilling their costume needs for cosplay events.