JUKIE, JOSHUA JUN (2024) ANALISIS SENTIMEN TERKAIT OPINI MASYARAKAT MENGENAI KEBERADAAN KERETA CEPAT JAKARTA BANDUNG DENGAN KOMPARASI BEBERAPA ALGORITMA KLASIFIKASI MACHINE LEARNING. S1 thesis, Universitas Mercu Buana - Menteng.
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Abstract
Kereta Cepat Jakarta Bandung merupakan proyek infrastruktur yang kontroversial, dan pendapat masyarakat dapat mencerminkan berbagai sudut pandang. Metode analisis sentimen Naïve Bayes digunakan untuk mengklasifikasikan opini-opini masyarakat menjadi kategori positif dan negatif. Data yang digunakan dalam penelitian ini merupakan kumpulan opini masyarakat yang diambil dari twitter. Hasil analisis sentimen digunakan untuk melihat opini masyarakat terhadap proyek Kereta Cepat Jakarta Bandung. Hasil penelitian ini dapat digunakan oleh pihak terkait, seperti pemerintah, pengembang proyek, dan masyarakat, untuk lebih memahami opini masyarakat dan merancang strategi komunikasi yang lebih efektif terkait proyek Kereta Cepat Jakarta Bandung. The Jakarta Bandung High Speed Train is a controversial infrastructure project, and public opinion can reflect a variety of viewpoints. Naïve Bayes' sentiment analysis method is used to classify people's opinions into positive and negative categories. The data used in this study is a collection of public opinions taken from twitter. The results of sentiment analysis are used to see public opinion of the Jakarta Bandung High Speed Train project. The results of this research can be used by related parties, such as the government, project developers, and the community, to better understand public opinion and design more effective communication strategies related to the Jakarta Bandung High Speed Train project.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41819120047 |
| Uncontrolled Keywords: | Analisis sentimen, Naïve bayes dan Kereta cepat Jakarta bandung Sentiment analysis, naïve bayes and Jakarta Bandung High Speed Train |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | WIDYA AYU PUSPITA NINGRUM |
| Date Deposited: | 02 Mar 2024 02:54 |
| Last Modified: | 02 Mar 2024 02:54 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/86657 |
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