ANALISIS SENTIMEN APLIKASI SIGNAL - SAMSAT DIGITAL NASIONAL BERDASARKAN ULASAN GOOGLE PLAY STORE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Prakoso, Afif Bima Adi (2026) ANALISIS SENTIMEN APLIKASI SIGNAL - SAMSAT DIGITAL NASIONAL BERDASARKAN ULASAN GOOGLE PLAY STORE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.

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Item Type:

Thesis (S1 - Sarjana)

Contributor:

Pembimbing
Rumini, Rumini

Uncontrolled Keywords:

Analisis Sentimen, Aplikasi SIGNAL, Google Play Store, Term Frequency-Inverse Document Frequency (TF-IDF), Support Vector Machine (SVM), Sentiment Analysis.

Subjects:

000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum
000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 005 Pemrograman komputer, program dan data

Divisions:

Fakultas Ilmu Komputer > Informatika

Depositing User:

RC Universitas AMIKOM Yogyakarta

Date Deposited:

22 Jul 2026 03:53

Last Modified:

22 Jul 2026 03:53

URI:

http://eprints.amikom.ac.id/id/eprint/32304