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All Journal JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Angelia, Nadya
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Computer Science & IT

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Recommender System for Tourist Destinations in Indonesia Using Matrix Factorization Method Saputra, Danny Matthew; Angelia, Nadya; Yusliani, Novi
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 3 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.3.254

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 an appropriate way to help Indonesians choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, 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.
Co-Authors Novi Yusliani Saputra, Danny Matthew