RANCANG BANGUN RECOMMENDER SYSTEM DENGAN MENGGUNAKAN METODE COLLABORATIVE FILTERING UNTUK STUDI KASUS TEMPAT KULINER DI SURABAYA
ABSTRACT: Culinary will have
more and more big opportunities for the people who want to have a new business.
Because food and beverages are people’s primary requirements. Even now,
culinary spot not only to fulfill primary requirement, but also become the place
where we can meet or chill out with friends , and business meeting. Nowadays
opening a culinary business becoming a trend for people who going to start a
new business. We can see people eat and drink every time everywhere. Even now a
restaurant or cafe can become not only a place to eat, but to hang out, have a
meeting, etc. This causes the culinary business to grow rapidly and has so much
variety in its product. However, those sometimes make people confuse where is
the best place to eat that suit their preferences. Therefore a recommender
system website with collaborative filtering method has been built, to help
consumer pick a restaurant that suit their wants, according to other’s consumer
rating that have been processed with item-based collaborative filtering
algorithm. The experiment about recommendations for help people making
decisions that suit their preferences have value of accuracy around 76% based
on 32 sampling data.
Penulis: Anthea Adellya
Pradnya Devi, David Boy Tonara
Kode Jurnal: jptinformatikadd150531
