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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Edwin Jayadi
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Computer Science & IT Mathematics Other

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IMPLEMENTASI METODE COLLABORATIVE FILTERING UNTUK ANALISIS DATA BELANJA KONSUMEN BERBASIS WEBSITE (STUDI KASUS RESTORAN MYKITCHEN) Edwin Jayadi; Bagus Mulyawan; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.272 KB) | DOI: 10.24912/jiksi.v9i1.11559

Abstract

In determining the right recommendation, of course, we need a method that can provide accurate recommendation results. The basics of determining recommendations can use ratings from one or more users. This will generate beneficial benefits, especially for parties engaged in the food and beverage industry.The role of technology does not escape to produce the right recommendation system. By implementing the ItemBased Collaborative Filtering method, users can find out the right restaurant menu recommendations based on user ratings.The Item-based Collaborative Filtering method is a method that uses the evaluation of one user and another user to obtain a recommendation. This is based on the assumption that the tendency of users is the same from time to time to a product. So that the system will provide feedback to users by processing the rating data. In determining menu recommendations for users, the ItemBased Collaborative Filtering method obtains an accuracy rate of 100%.
Co-Authors bagus Mulyawan Manatap Dolok Lauro, Manatap Dolok