Jurnal Bumigora Information Technology (BITe)
Vol 5 No 2 (2023)

Peningkatan Kinerja Metode Random Forest Berbasis Smote-Tomek Link Pada Sentimen Analisis Pariwisata Lombok

Khairan Marzuki (Universitas Bumigora)
Lalu Ganda Rady Putra (Universitas Bumigora, Mataram, Indonesia)
Hairani Hairani (Universitas Bumigora, Mataram, Indonesia)
Lalu Zazuli Azhar Mardedi (Universitas Bumigora)
Juvinal Ximenes Guterres (Universidade Oriental Timur Lorosae)



Article Info

Publish Date
04 Jan 2024

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.

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Journal Info

Abbrev

bite

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Jurnal Bumigora Information Technology (BITe) is one of the journals owned at Bumigora University which is managed by the Department of Computer Science. This journal is intended to provide publications for academics, researchers and practitioners who wish to publish research in the field of ...