ANALISIS SENTIMEN MEDIA SOSIAL YOUTUBE TERHADAP LIVE STREAMING PUBG MOBILE PRO LEAGUE ID 2023 DENGAN METODE NAÏVE BAYES

Algifari, Abuzar (2024) ANALISIS SENTIMEN MEDIA SOSIAL YOUTUBE TERHADAP LIVE STREAMING PUBG MOBILE PRO LEAGUE ID 2023 DENGAN METODE NAÏVE BAYES. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

Social media is a platform that is very popular with Indonesian people, such as Instagram,
TikTok and YouTube. YouTube is a social media that is often used to watch videos that have been
uploaded by other YouTube users and also watch live streaming, such as live streaming on the
Indonesian PUBG mobile game competition, various responses given by YouTube users regarding
the appearance of e-sport games. PUBG mobile Indonesia. In this research, we classify the
sentiments of Indonesian netizens regarding the performance of the PUBG mobile e-sports game
in the PUBG Mobile Pro League (PMPL) competition using the Naïve Bayes method with three
tests. Using the Naive Bayes method to get accuracy results. The best classification results were
found in the third test with a data split of 90% – 10% resulting in accuracy 85%, precision 92%,
recall 77%, and f – measure 84%. The amount used to split the data greatly influences the
classification results. From the classification results above, responses from Indonesian netizens
on YouTube live streaming were in the form of negative sentiment towards the PUBG Mobile Pro
League Indonesia 2023 competition.

Item Type: Thesis (Undergraduate)
Student ID: 201710370311315
Keywords: Analisis sentiment; PUBG; Python; Naïve Bayes
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201710370311315 abuzar
Date Deposited: 23 Aug 2024 07:00
Last Modified: 23 Aug 2024 07:00
URI: https://eprints.umm.ac.id/id/eprint/10706

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