Rancang Bangun Sistem Informasi Rekomendasi Produk pada Supermarket Menggunakan Content Based Filtering Berbasis Web

Authors

  • Muhammad Ridho Fasya Universitas Islam Negeri Sumatera Utara
  • Muhamad Alda Universitas Islam Negeri Sumatera Utara
  • Adnan Buyung Nasution Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.55123/jumintal.v4i1.5114

Keywords:

Recommendation System, Content Based Filtering, Supermarket, TF-IDF, Cosine Similarity

Abstract

The advancement of information technology drives transformation in the retail sector, including supermarkets. INDO BALI Supermarket in Tanjung Balai Karimun still relies on brochures for product promotion, which limits customer reach. This study aims to design and develop a web-based product recommendation system using the Content Based Filtering method. The system provides personalized recommendations based on product description similarity. Data processing includes tokenization, stopword removal, stemming, text normalization, TF-IDF calculation, and cosine similarity. The system was developed using PHP and MySQL with the waterfall method. Testing shows the system effectively delivers relevant product recommendations based on user preferences and supports improved promotional strategies and customer satisfaction.

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References

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Published

2025-05-20

How to Cite

Muhammad Ridho Fasya, Muhamad Alda, & Adnan Buyung Nasution. (2025). Rancang Bangun Sistem Informasi Rekomendasi Produk pada Supermarket Menggunakan Content Based Filtering Berbasis Web. JUMINTAL: Jurnal Manajemen Informatika Dan Bisnis Digital, 4(1), 28–37. https://doi.org/10.55123/jumintal.v4i1.5114

Issue

Vol. 4 No. 1 (2025): Mei 2025

Section

Articles

License

Copyright (c) 2025 Muhammad Ridho Fasya, Muhamad Alda, Adnan Buyung Nasution

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This work is licensed under a Creative Commons Attribution 4.0 International License.