Prasetyo, Muhammad Eko (2024) PENGEMBANGAN APLIKASI SEWA KOSTUM COSPLAY MENGGUNAKAN REACT NATIVE EXPO DENGAN COLLABORATIVE FILTERING DAN K-NEAREST NEIGHBOR. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Cosplay has become a popular cultural phenomenon worldwide, where individuals wear costumes and accessories to portray characters from anime, manga, movies, and other fictional works. However, obtaining costumes suitable for the desired character poses a significant challenge for cosplayers. To address this issue, the development of a cosplay costume rental application can be an effective solution. This application provides a platform for cosplayers to explore and rent a variety of costumes from different characters and fictional works, reducing the cost and effort required to create their own costumes. The importance of user experience in the cosplay costume rental application has led to the idea of implementing Collaborative Filtering. This approach leverages user interaction patterns and behavior to recommend costumes to cosplayers based on their preferences and interests in specific series. Additionally, the integration of the K-Nearest Neighbor (K-NN) algorithm in data clustering can also help predict connections between unseen and existing users, enhancing the quality of recommendations. This research focuses on the development of a cosplay costume rental application. Considering user behavior, such as viewing, clicking, or interacting with costumes, the application will provide suitable costume recommendations. The results of the cosplay costume rental application development reveal that the postgresql database requires 20 tables for the entire system, and recommendations using collaborative filtering and K-NN have been successfully implemented. Furthermore, the application was tested using the black-box method with 31 testing items, achieving a 100% success rate, indicating that the application functions well. Based on a questionnaire with 65 respondents, the usability test resulted in an 86.6% satisfaction rate, indicating that the system can be well-utilized by users, both cosplayers and rental providers.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) > T58.6-58.62 Management Information Systems | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Muhammad Eko Prasetyo | ||||||||||||
| Date Deposited: | 15 Jan 2024 02:49 | ||||||||||||
| Last Modified: | 15 Jan 2024 02:49 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/19840 |
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