Skripsi

ANALISIS SENTIMEN PERSPEKTIF PUBLIK DI MEDIA SOSIAL (X, INSTAGRAM, TIKTOK) TERHADAP TAGAR #KABURAJADULU MENGGUNAKAN METODE NAIVE BAYES

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The rapid development of information technology has transformed social media into an important space for shaping public opinion. One emerging phenomenon is the #KaburAjaDulu hashtag on X, Instagram, and TikTok, reflecting public perspectives on social and economic conditions in Indonesia. This study aims to analyze public sentiment toward the hashtag using the Naive Bayes method, including preprocessing, labeling with InSet Lexicon, and data balancing using SMOTE. The results show that sentiment across all platforms is dominated by negative sentiment exceeding 65%, indicating a tendency of public dissatisfaction with social, economic, and employment conditions. The model achieved the highest accuracy on Instagram (90%), followed by X (73%) and TikTok (68%), influenced by the textual characteristics of each platform. This study is expected to provide insights into public opinion dynamics on social media

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Availability

Detail Information

Series Title

-

Call Number

T1962932026

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2026

Collation

xxiii, 112 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.310 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Informasi
Algoritma Naive Bayes

Specific Detail Info

-

Statement of Responsibility

KA

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