Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of System and Computer Engineering
Ade Hastuty
Institute Agama Islam Negeri Parepare
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementation of a Movie Recommendation System Using Collaborative Filtering and the K-Nearest Neighbors Technique Masnur Masnur; Ade Hastuty; Dian Fahmy; Hasnawati Hasnawati; Andi Irmayani; Syahirun Alam
Journal of System and Computer Engineering Vol 7 No 4 (2026): JSCE: October 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i4.2866

Abstract

The rapid growth of video services has greatly expanded the number of available films, making it increasingly difficult for users to identify titles that match their preferences. This study implements a web-based movie recommendation system using collaborative filtering and the K-nearest neighbors (KNN) technique to generate personalized recommendations from similarities among user preferences. An experimental quantitative design was adopted through requirements analysis, system design, implementation, testing, and evaluation. User ratings were used to calculate inter-user similarity, after which KNN selected the most similar users as the basis for recommendation generation. The system was evaluated using black-box testing and a five-point Likert-scale questionnaire covering system performance, information use, system use, and user satisfaction. All functional test scenarios were classified as valid, while the questionnaire variables received mean scores in the good category. The findings indicate that the system can provide relevant recommendations through an interface that users perceive as effective and easy to use. Collaborative filtering combined with KNN therefore offers a practical approach for helping users find films that correspond to their preferences while improving the service quality of a web-based recommendation platform.
Co-Authors Andi Irmayani Dian Fahmy Hasnawati Hasnawati Masnur Masnur Syahirun Alam