eprintid: 42669
rev_number: 12
eprint_status: archive
userid: 12461
dir: disk0/00/04/26/69
datestamp: 2021-07-07 10:04:41
lastmod: 2021-07-07 10:04:41
status_changed: 2021-07-07 10:04:41
type: thesis
metadata_visibility: show
contact_email: anik.azizah@uin-suka.ac.id
creators_name: Muhammad Sholihuddin Nur, NIM.: 16650044
title: ANALISIS SENTIMEN TWITTER TERHADAP PROFESI TUKANG PARKIR MENGGUNAKAN METODE NAÏVE BAYES
ispublished: pub
subjects: TB
subjects: ms
full_text_status: restricted
keywords: Analisis Sentimen, Twitter, Metode Native Bayes
note: Pembimbing :  Muhammad Didik Rohmad Wahyudi, S.T., MT.
abstract: The existence of the parking attendant profession is a topic that can be quite
energy-consuming when discussed, both in terms of functionality, value and price
of services provided, and also the urgency of its existence, because there is no
research that discusses it. Therefore, a study of sentiment analysts on the parking
attendant profession is carried out.
This study classifies 1357 data taken from Twitter to be analyzed by the Naïve
Bayes method with TF-IDF as a term weighting model, and uses a split validation
and confusion matrix as the evaluation stage of the model, then the next
implementation of 1000 new data to predict.
The split validation ratio used in each model shows different accuracy using the
evaluation of the confusion matrix. Model with a split ratio of 90:10 producing an
accuracy of 82.35%, a split ratio of 80:20 producing an accuracy of 79.04%, while
a split ratio of 70:30 resulting in an accuracy of 78.92%. The results of the
implementation to the test data of 1000 tweets taken in the span of July 7-12 using
the model produces positif tweet predictions of 28.9% and negatif tweet predictions
of 71.1%.
date: 2020-07-23
date_type: published
pages: 85
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: Fakultas Sains dan Teknologi
thesis_type: skripsi
thesis_name: other
citation:   Muhammad Sholihuddin Nur, NIM.: 16650044  (2020) ANALISIS SENTIMEN TWITTER TERHADAP PROFESI TUKANG PARKIR MENGGUNAKAN METODE NAÏVE BAYES.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/42669/1/16650044_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/42669/2/16650044_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf