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All Journal Jurnal Publikasi Teknik Informatika (JUPTI)
Muhammad Eko Prasetyo
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Computer Science & IT

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Implementasi Collaborative Filtering Pada Aplikasi E-Commerce Penyewaan Costume Cosplay Muhammad Eko Prasetyo; Andreas Nugroho Sihananto; Firza Prima Aditiawan
Jurnal Publikasi Teknik Informatika Vol 3 No 1 (2024): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i1.2517

Abstract

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.
Co-Authors Andreas Nugroho Sihananto Firza Prima Aditiawan