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All Journal Jurnal Bumigora Information Technology (BITe)
Juvinal Ximenes Guterres
Universidade Oriental Timur Lorosae
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : Jurnal Bumigora Information Technology (BITe)

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Peningkatan Kinerja Metode Random Forest Berbasis Smote-Tomek Link Pada Sentimen Analisis Pariwisata Lombok Khairan Marzuki; Lalu Ganda Rady Putra; Hairani Hairani; Lalu Zazuli Azhar Mardedi; Juvinal Ximenes Guterres
Jurnal Bumigora Information Technology (BITe) Vol 5 No 2 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i2.3166

Abstract

Background: Tourists visiting Lombok Island can access various sources of tourist information and can share their views and tourist experiences through social media such as positive and negative experiences.Objective: This research aims to analyze the sentiment of Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.Methods: The research was carried out in several stages, namely collecting the Lombok tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse Document Frequency (TF-IDF) method, data sampling using SMOTE-Tomek Link, text classification using Random Forest, and the final stage was performance testing based on accuracy.Result: The research results obtained using the Smote-Tomek Link and Random Forest methods in sentiment analysis analysis of tourist reviews about Lombok were 94%.Conclusion: The use of the Smote-Tomek Link and Random Forest methods in Lombok tourism sentiment analysis produces very good accuracy.
Co-Authors Hairani Hairani Khairan marzuki Lalu Ganda Rady Putra Mardedi, Lalu Zazuli Azhar