%0 Thesis
%9 S1 - Sarjana
%A Prakoso, Afif Bima Adi
%A Universitas AMIKOM Yogyakarta,
%B Fakultas Ilmu Komputer
%D 2026
%F universitasamikomyogyakarta:32304
%I Universitas AMIKOM Yogyakarta
%K Analisis Sentimen, Aplikasi SIGNAL, Google Play Store, Term  Frequency-Inverse Document Frequency (TF-IDF), Support Vector Machine  (SVM), Sentiment Analysis.
%T ANALISIS SENTIMEN APLIKASI SIGNAL - SAMSAT  DIGITAL NASIONAL BERDASARKAN ULASAN GOOGLE  PLAY STORE MENGGUNAKAN METODE  SUPPORT VECTOR MACHINE
%U https://eprints.amikom.ac.id/id/eprint/32304/