SISTEM REKOMENDASI MENGGUNAKAN METODE COLLABORATIVE FILTERING DAN ALGORITMA APRIORI

HUTAPEA, AGUSTINA and Yusliani, Novi and Arsalan, Osvari (2021) SISTEM REKOMENDASI MENGGUNAKAN METODE COLLABORATIVE FILTERING DAN ALGORITMA APRIORI. Undergraduate thesis, Sriwijaya University.

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Abstract

The recommendation system is a system that is able to manage information from historical data and provide suggestions or recommendations to users. This research uses Collaborative Filtering and Apriori methods to produce product recommendations. Collaborative Filtering performs the process of calculating values similarity product based on user behavior in providing product ratings. Apriori performs data processing and produces data patterns that are used as reference recommendations based on the selected product andresults similarity using Collaborative Filtering. Collaborative Filtering and Apriori are implemented as applications in providing product recommendations to users. Tests were carried out on 39 products with varying rating values and product shopping patterns from 247 users by comparing the results of the recommendations given by the system with transaction data patterns that had occurred previously. Results Testing data using method Collaborative Filtering produces an accuracy value of 73.2% and data testing using Collaborative Filtering and Apriori Method Produces an accuracy value of 100%. The accuracy value using Collaborative Filtering and Apriormethodsiis higher than using methods Collaborative Filtering. It is concluded that the use of theAlgorithm Apriori and Collaborative Filtering is good in the recommendation system.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Rekomendasi, Collaborative Filtering, Apriori, Rating, Pola data.
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Agustina Hutapea
Date Deposited:	27 Sep 2021 01:09
Last Modified:	27 Sep 2021 01:09
URI:	http://repository.unsri.ac.id/id/eprint/54754

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