OPTIMASI SENTIMEN ANALISIS TERHADAP KINERJA BMKG NASIONAL MENGGUNAKAN ALGORITMA PSO DAN SUPPORT VECTOR MACHINE

Suwarno, Dhea Marenty (2024) OPTIMASI SENTIMEN ANALISIS TERHADAP KINERJA BMKG NASIONAL MENGGUNAKAN ALGORITMA PSO DAN SUPPORT VECTOR MACHINE. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.

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Item Type: Thesis (S1 - Sarjana)
Contributor:
Pembimbing
Abdulloh, Ferian Fauzi
Uncontrolled Keywords: BMKG Nasional, Algoritma Support Vector Machine (SVM), SMOTE, Particle Swarm Optimization (PSO), Labeling Data.
Subjects: 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: RC Universitas AMIKOM Yogyakarta
Date Deposited: 29 Apr 2024 07:55
Last Modified: 29 Apr 2024 07:55
URI: http://eprints.amikom.ac.id/id/eprint/25254

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