SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTORIZATION

ANGELIA, NADYA and Yusliani, Novi and Saputra, Danny Matthew (2024) SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTORIZATION. Undergraduate thesis, Sriwijaya University.

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Abstract

Indonesia has various tourist destinations. The large number of tourist destinations makes people confused about choosing a suitable tourist destination. The recommendation system is a suitable way to help Indonesian people choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, namely Alternating Least Square (ALS). The dataset used is Indonesia Tourism Destination from Kaggle. Based on research that has been carried out, this algorithm is successful in predicting tourist attractions that suit users. The evaluation results are an MAE value of 1.27203388032266, while the RMSE value is 1.475271987.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Rekomendasi, matrix factorization, alternating least square
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Nadya Angelia
Date Deposited:	12 Jul 2024 08:00
Last Modified:	12 Jul 2024 08:00
URI:	http://repository.unsri.ac.id/id/eprint/150592

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