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All Journal TEKNIK INFORMATIKA RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JurTI (JURNAL TEKNOLOGI INFORMASI) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Sistem Informasi Kaputama (JSIK) Technologia: Jurnal Ilmiah TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Ilmiah Sains dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFOKUM TIN: TERAPAN INFORMATIKA NUSANTARA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Abdi Mas Adzkia Bulletin of Computer Science Research Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sains dan Teknologi Jurnal Pendidikan, Sains dan Teknologi Jurnal Manajemen Informatika dan Bisnis Digital Journal Of Indonesian Social Society Jurnal Ilmiah Multidisiplin Nusantara Gudang Jurnal Multidisiplin Ilmu El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Hukum dan Pembangunan
Adnan Buyung Nasution
Universitas Islam Negeri Sumatera Utara
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Journal : Jurnal Manajemen Informatika dan Bisnis Digital

 1 
Rancang Bangun Sistem Informasi Rekomendasi Produk pada Supermarket Menggunakan Content Based Filtering Berbasis Web Muhammad Ridho Fasya; Muhamad Alda; Adnan Buyung Nasution
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5114

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.
Co-Authors Abdul Muhyi Abdul Razaq Adetya Maharani Marpaung admin admin, admin Alfasyahri Zaki Ali Ikhwan Anggy Permata Sari Aninda Muliani Aninda Mulyani Harahap ARYA PRATAMA DAMANIK Dian Putri Kinanti Disnu Panggabean Dwika Sherliyanda Dwiky Guntara Fauziatun Husnah Friska Andriani Guntara, Dwiky haryanzelina bancin Hasan Basri Hasypa Aulia Ibnu Faisal Ilka Zufria Irma Listiani Lubis, Bayu Fadhli Erlangga M Fakhriza M. Fakhriza Maimanah Salsabila Nasution Mhd. Aria Agung Widodo mira aripin panjaitan Muhamad Alda Muhammad Dedi Irawan Muhammad Fakhriza Muhammad Ridho Fasya Muhammad Syafiq Raihan Muzaddidah, Cahaya Caya Myra Thasandra Nadya Fatyana Nasution, Muhammad Irwan Padli Nisfa Laili Nurul Amanda Khairani Lubis Nurul Zuriandini Rahma Dipa Salsabil Raissa Amanda Putri Roy Surya Fikriadi Samsudin, Samsudin Satria Habibi Ritonga Septia Ona Sutra Silvia Kartika Sinta Dara Efita Suendri, Suendri Syaidah Fiddarain T Sabrina Taufiqurrahman Triase Triase Triase Triase Wahyu Sofianda Wanda Audiansyah Wini Istya Sari Yunita Dwi Cahaya