eprintid: 29814
rev_number: 18
eprint_status: archive
userid: 1636
dir: disk0/00/02/98/14
datestamp: 2023-12-19 05:12:57
lastmod: 2023-12-19 05:12:57
status_changed: 2023-12-19 05:12:57
type: article
metadata_visibility: show
creators_name: Hasan, Firman Noor
creators_id: firman.noorhasan@uhamka.ac.id
creators_orcid: 0000-0002-1246-3462
title: (MIB - S3) - Syakir, Hasan [2023-10-24]
ispublished: pub
subjects: T1
divisions: 55201
abstract: The corrupt behavior of government officials is a problem that worries the public and threatens the integrity of the government system. In today's digital era, social media is an important means for the public to voice their opinions and sentiments on social issues, including the corruption of government officials. This study aims to analyze public sentiment toward the corrupt behavior of government officials based on tweet data on social media using the Naïve Bayes Classifier method. Tweet data is taken from social media Twitter related to corruption cases involving government officials within a certain period. The data is then processed to remove irrelevant elements and extract the sentiments contained in the tweets The Naïve Bayes Classifier method is applied to classify these tweets of positive, negative, or neutral sentiment toward corrupt behavior from government officials. The results of this study conclude that the public is very angry, disappointed, and has a low level of trust in corrupt behavior committed by government officials. Proven by the most dominant sentiment category is negative sentiment with 224 data and 95 data fall into the positive sentiment category.
date: 2023-10-24
date_type: published
publisher: STMIK Budi Darma
official_url: https://ejurnal.stmik-budidarma.ac.id/index.php/mib/article/view/6648
id_number: http://dx.doi.org/10.30865/mib.v7i4.6648
full_text_status: public
publication: MIB: Media Informatika Budidarma
volume: 7
number: 4
pagerange: 1796-1805
refereed: TRUE
issn: 2548-8368
citation:   Hasan, Firman Noor  (2023) (MIB - S3) - Syakir, Hasan [2023-10-24].  MIB: Media Informatika Budidarma, 7 (4).  pp. 1796-1805.  ISSN 2548-8368     
document_url: http://repository.uhamka.ac.id/id/eprint/29814/6/1.%20%20Cover.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/29814/2/2.%20%20Editorial%20Team.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/29814/1/3.%20%20Daftar%20Isi.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/29814/4/4.%20%20Artikel.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/29814/3/5.%20%20Bukti%20Hasil%20Turnitin.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/29814/5/6.%20%20LOA%20-%20Syakir%2C%20Hasan.pdf