Analisis Sentimen Objek Wisata Bali Di Google Maps Menggunakan Algoritma Naive Bayes

Dian Siti Utami(1*), Adhitia Erfina(2),


(1) Universitas Nusa Putra
(2) Universitas Nusa Putra
(*) Corresponding Author

Abstract


Bali is one of the most popular tourist destinations in Indonesia because it has a variety of tourist attractions. So this study aims to analyze a tourist review on Google Maps of the most recommended tourist attractions in Bali. The author considers that the review can be used as a data by scrapping data from the Data Miner Website. Then the data that has been extracted is analyzed by predicting a rapid miner using the Naïve Bayes Algorithm, which is considered to have a high enough level of accuracy so that it can determine 5 recommended Bali tourist attractions based on tourist reviews on Google Maps. The results of this study conclude that Nusa Pedina with an accuracy value of 94.64% is the most visited Bali tourist attraction because the accuracy value is superior to Garuda Wisnu Kencana with an accuracy value of 82.86%, edge with an accuracy value of 80%, Pandawa with an accuracy value by 82.86%. The accuracy value is 90.71%, Uluwutu Temple with an accuracy value of 85.54%.

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DOI: http://dx.doi.org/10.30645/j-sakti.v6i1.456

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