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PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACEBOOK TENTANG KEMACETAN LALU LINTAS DI KOTA PALEMBANG

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Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The research data consist of 2,021 Facebook comments, which were collected through web scraping and subsequently processed through several preprocessing stages, including cleaning, case folding, stemming, tokenization, normalization, and stopword removal, followed by feature weighting using the TF-IDF method. The Random Forest model was trained and tested to classify sentiments into three categories (positive, neutral, and negative). The experimental results indicate that the model achieved high accuracy in classifying sentiments across the training, testing, and validation datasets. This study provides insight into public perceptions of traffic congestion and can serve as valuable input for the government in formulating traffic management policies in Palembang City.

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Detail Information

Series Title

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Call Number

T1893912025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xv, 106 hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.312 07

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Analisis Data--Algoritma

Specific Detail Info

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Statement of Responsibility

MI

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