Sistem Penjualan Petshop Menggunakan Algoritma Machine Learning Pada Galaxy Petshop Semarang
DOI:
https://doi.org/10.54367/means.v8i2.2766Keywords:
sales, recommendation system, collaborative filteringAbstract
A recommendation system is a system that can provide recommendations on a particular object that can be used to assist system users in making a decision. This study iams to implement a recommendation system using the collaborative filtering method in e-commerce for the pet shop selling system. With e-commerce, customers can make purchases on-line without having to come to the costs. With the recommendation system provided, customers will get recommendations for the product to be purchased as a consideration in determining product choices. The collaborative filtering method carries out the process of filtering or evaluating objects based on oter people’s opinions, by providing information to consumers, based on similar characteristicsReferences
Faschal, Suranta Purba. 2016. Sistem Rekomendasi Produk Menggunakan Metode Item Based Collaborative Filtering. Universitas Diponegoro Semarang.
Nadilla, Dara Rahmawati., & Agus Prasetyo Utomo. 2020. Sistem Rekomendasi Pakaian Muslis Took Al-Fath Semarang Dengan Collaborative Filtering. Jurnal Ilmiah Elektronik Dan Computer. Vol.15,No1,PP 45-51
Aurelia, Oktafila Diniwati. 2020. System Rekomendasi Produk Pakaian Dengan Metode Collaborative Filtering. E-Jurnal.
Bambang, Hermanto. 2020. System Rekomendasi Kedai Kopi Dengan Metode Collaborative Filtering di Kota Yogyakarta Berbasis Web. Universitas Islam Indonesia.
Aditya, Fitri Hananta Putra. 2015. System Rekomendasi Mata Kuliah Pilihan Mahasiswa Dengan Content-Based Filtering Dan Collaborative Filtering. Universitas Brawijaya.
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Copyright (c) 2023 Bella Garin Dwi Cahyani, Widiyanto Tri Handoko
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