TY - JOUR AU - Khairan Marzuki AU - Lalu Rady Putra AU - Hairani Hairani AU - Lalu Mardedi AU - Juvinal Guterres PY - 2024/01/04 Y2 - 2025/04/03 TI - Performance Improvement of The Random Forest Method Based on Smote-Tomek Link on Lombok Tourism Analysis Sentiment JF - Jurnal Bumigora Information Technology (BITe) JA - BITe VL - 5 IS - 2 SE - Articles DO - https://doi.org/10.30812/bite.v5i2.3166 UR - https://journal.universitasbumigora.ac.id/index.php/bite/article/view/3166 AB - 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. ER -