eprintid: 32113
rev_number: 10
eprint_status: archive
userid: 12
dir: disk0/00/03/21/13
datestamp: 2026-07-14 02:09:24
lastmod: 2026-07-14 02:09:24
status_changed: 2026-07-14 02:09:24
type: thesis
metadata_visibility: show
creators_name: Barus, Herianta
creators_nim: 22.12.2343
contributors_name: Fajri, Ika Nur
corp_creators: Universitas AMIKOM Yogyakarta
title: {JALUR SCIENTIST} ANALISIS KLASIFIKASI SENTIMEN ULASAN TOKOPEDIA
MENGGUNAKAN TF-IDF, SMOTE, DAN MODEL 
MACHINE LEARNING TRADISIONAL
ispublished: pub
subjects: 000.000.000A
divisions: sch_phy
full_text_status: restricted
keywords: Analisis Sentimen, Tokopedia, E-commerce, Naïve Bayes, Random Forest,
Support Vector Machine (SVM), Logistic Regression, Decision Tree, TF-IDF, SMOTE, Sentiment Analysis.
date: 2026-01-27
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Barus, Herianta  (2026) {JALUR SCIENTIST} ANALISIS KLASIFIKASI SENTIMEN ULASAN TOKOPEDIA MENGGUNAKAN TF-IDF, SMOTE, DAN MODEL MACHINE LEARNING TRADISIONAL.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/32113/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32113/2/ISI.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32113/3/Sourcecode%20-%2022.12.2343.zip
document_url: https://eprints.amikom.ac.id/id/eprint/32113/4/Surat%20Pernyataan%20Publish%20di%20Luar.pdf