Skripsi

ANALISIS SENTIMEN KOMENTAR YOUTUBE PADA VIDEO BOCOR ALUS AKUN TEMPO TENTANG PERAN BAHLIL LAHADALIA PADA IZIN TAMBANG NIKEL DI RAJA AMPAT

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The Bocor Alus Politik video uploaded by the Tempo account on the YouTube platform generated widespread public discourse regarding the role of Bahlil Lahadalia in the issuance of nickel mining permits in Raja Ampat. The comment section of the video served as a space for the public to express opinions, criticism, and evaluations of mining policies that were perceived to have environmental impacts. This study aimed to explore and understand how the public responded to issues concerning Bahlil Lahadalia’s role in the licensing of nickel mining in Raja Ampat. The study employed a descriptive quantitative method using YouTube comment data collected through the YouTube API and analyzed using a Decision Tree machine learning algorithm, with a total of 2,079 comments analyzed. Based on the results of sentiment classification using the Decision Tree algorithm, positive sentiment accounted for 87 comments (23.1%), negative sentiment comprised 285 comments (64.6%), and neutral sentiment consisted of 64 comments (12.3%). The classification report produced by the Decision Tree model showed an accuracy of 95%. The negative sentiment achieved a precision of 96%, recall of 99%, f1-score of 97%, and support of 45, while the neutral sentiment achieved a precision of 94%, recall of 78%, f1-score of 85%, and support of 37.

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Detail Information

Series Title

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Call Number

T1914742025

Publisher

Indralaya : Prodi Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Sriwijaya., 2025

Collation

xviii, 151 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

302.230 7

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Opini Publik
Prodi Ilmu Komunikasi

Specific Detail Info

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Statement of Responsibility

TUTI

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