eprintid: 32304
rev_number: 16
eprint_status: archive
userid: 12
dir: disk0/00/03/23/04
datestamp: 2026-07-22 03:53:23
lastmod: 2026-07-22 03:53:23
status_changed: 2026-07-22 03:53:23
type: thesis
metadata_visibility: show
creators_name: Prakoso, Afif Bima Adi
creators_nim: 21.11.4322
contributors_name: Rumini, Rumini
corp_creators: Universitas AMIKOM Yogyakarta
title: ANALISIS SENTIMEN APLIKASI SIGNAL - SAMSAT
DIGITAL NASIONAL BERDASARKAN ULASAN GOOGLE
PLAY STORE MENGGUNAKAN METODE
SUPPORT VECTOR MACHINE
ispublished: pub
subjects: 000.000.000A
subjects: 000.000.005
divisions: if
full_text_status: restricted
keywords: Analisis Sentimen, Aplikasi SIGNAL, Google Play Store, Term
Frequency-Inverse Document Frequency (TF-IDF), Support Vector Machine
(SVM), Sentiment Analysis.
date: 2026-02-24
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   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.   
document_url: https://eprints.amikom.ac.id/id/eprint/32304/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/2/BAB%20I.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/3/BAB%20II.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/4/BAB%20III.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/5/BAB%20IV.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/6/BAB%20V.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/7/Daftar%20Pustaka.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32304/8/Sourcecode%20-21.11.4322.zip
document_url: https://eprints.amikom.ac.id/id/eprint/32304/9/Surat%20Pernyataan%20Publish%20di%20Luar.pdf