Penerapan Support Vector Machine (SVM) Dalam Analisis Sentimen Isu Penundaan Pemilu 2024 Pada Twitter

Rahayu, Puji (2024) Penerapan Support Vector Machine (SVM) Dalam Analisis Sentimen Isu Penundaan Pemilu 2024 Pada Twitter. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

General elections are a characteristic of a democratic country and one of the government's efforts to realize popular sovereignty. However, there is the issue of postponing the 2024 general elections. Postponing elections would have an unconstitutional effect, could erase the spirit of reform in the 1945 Constitution, and could reduce the level of public trust in the government. Various responses and opinions have been poured by the community on social media and produce opinions that are pro and con. This study aims to analyze public sentiment and group it into positive and negative classes using the Support Vector Machine (SVM) method so that the results obtained are expected to be one of the government's considerations in policy making by taking into account public opinion

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorAyuninghemi, RatihNIDN0702088601
Uncontrolled Keywords: Classification, Twitter, Data Mining, Support Vector Machine (SVM)
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
580 - Rumpun Ilmu Sosial, Politik dan Humaniora > 590 - Ilmu Politik > 601 - Ilmu Sosial Politik
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Puji Rahayu
Date Deposited: 31 May 2024 06:20
Last Modified: 31 May 2024 06:20
URI: https://sipora.polije.ac.id/id/eprint/32482

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