Penerapan Fuzzy Logic dalam Sistem Rekomendasi Film: Studi Kasus Justice League (2017)

Authors

  • Kevin Leonardo Universitas Internasional Batam
  • M. Abdilah Saputra Universitas Nusantara PGRI Kediri
  • Junior Ikhlas Universitas Internasional Batam
  • Ricky Yohannes Marbun Universitas Internasional Batam
  • Azra Putri Anaztasya Universitas Negeri Jakarta
  • Andik Yulianto Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Internasional Batam
  • Deli Deli Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Internasional Batam

DOI:

https://doi.org/10.37253/telcomatics.v9i2.9517

Keywords:

Kecerdasan Buatan, Fuzzy, Rekomendasi Film, Artificial Intelligence

Abstract

Currently, the development of technology encourages service provider sites in selling and renting to streaming movies, such as: IMDb, NetFlix, and Flixster to develop more accurate recommendation systems. This study uses fuzzy logic to provide movie recommendation information. Two similarity measurement methods are used to improve the accuracy of recommendations: first, by considering similar user choices, and second, by matching similar movie genres that have been rated by users. The fuzzy sets and membership functions used in this study are Critic Score, Audience Score, Audience Count, Year. The test results show that the application created can provide movie recommendations that match the dataset used.

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References

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Published

2025-01-01

How to Cite

Leonardo, K., Saputra, M. A., Ikhlas, J., Marbun, R. Y., Anaztasya, A. P., Yulianto, A., & Deli, D. (2025). Penerapan Fuzzy Logic dalam Sistem Rekomendasi Film: Studi Kasus Justice League (2017). Telcomatics, 9(2), 34–39. https://doi.org/10.37253/telcomatics.v9i2.9517

Issue

Vol. 9 No. 2 (2024): In press

Section

Articles

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