ANALISIS SENTIMEN PUBLIK TENTANG INDONESIA GELAP PADA YOUTUBE MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN KNEAREST NEIGHBOR

HABIBIE, MOKHAMAD BAHARUDIN (2025) ANALISIS SENTIMEN PUBLIK TENTANG INDONESIA GELAP PADA YOUTUBE MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN KNEAREST NEIGHBOR. S1 thesis, UNIVERSITAS MERCU BUANA - BUNCIT.

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Item Type: Thesis (S1)
NIM/NIDN Creators: 41519210011
Uncontrolled Keywords: Analisis Sentimen, Naïve Bayes, K-Nearest Neighbor, YouTube, Indonesia Gelap.
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
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 > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
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 > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data
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 > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.4 System Programming and Programs/Sistem Pemrograman dan Program
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 > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.7 Data in Computer Systems/Data dalam Sistem-sistem Komputer
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Nasruddin Mansyur S.Hum
Date Deposited: 08 Sep 2025 02:22
Last Modified: 08 Sep 2025 02:22
URI: http://repository.mercubuana.ac.id/id/eprint/97501

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