Penerapan Metode Slope One dan K-Nearest Neighbor Untuk Menentukan Rekomendasi Tempat Makan di Bali Berbasis Android

Abstract

Restaurants are an alternative if there is no food at home or when
you are traveling somewhere. Bali is one of the popular tourism
cities because of the many tourists. The number of restaurants
makes users confused to choose a restaurant that suits their
needs. This recommendation application is made to help users in
choosing the restaurant that suits their needs easily.
The initial step taken is the scraping process, after the scraping
process the next step is looking for restaurants that do not put
prices which will later be calculated with the price prediction with
the Slope One algorithm after the data entered into the database.
The recommendation calculation is done on the backend. When on
Android, it only needs to make API calls.
Based on the results of the tests that have been carried out, the
program has succeeded in collecting data, managing, and
displaying restaurant data. The price prediction process with the
Slope One algorithm has very good results. For the process of
scraping the data to be retrieved as the original data. The KNearest Neighbor calculation process was successfully carried
out and has sufficient accuracy with K of 35, has an accuracy of
59%, and contains data of 7,890 restaurants.