Skripsi

SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTORIZATION

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407004255	T150592	T1505922024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1505922024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xvi, 72 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.310 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Sistem Rekomendasi
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

KA

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