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

Year: 2025

Type: article

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.

Source: JUMINTAL Jurnal Manajemen Informatika dan Bisnis Digital

DOI: 10.55123/jumintal.v4i1.5114

Authors: Muhammad Ridho Fasya, Muhamad Alda, Adnan Buyung Nasution

Institution: Universitas Islam Negeri Sumatera Utara

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4412190868

FWCI: 1.107

Cites:

Cited by: 1

Related to: 10