(MIB - S3) - Syakir, Hasan [2023-10-24]

Hasan, Firman Noor (2023) (MIB - S3) - Syakir, Hasan [2023-10-24]. MIB: Media Informatika Budidarma, 7 (4). pp. 1796-1805. ISSN 2548-8368

[thumbnail of 1.  Cover.pdf]
1. Cover.pdf

Download (83kB) | Preview
[thumbnail of 2.  Editorial Team.pdf]
2. Editorial Team.pdf

Download (277kB) | Preview
[thumbnail of 3.  Daftar Isi.pdf]
3. Daftar Isi.pdf

Download (338kB) | Preview
[thumbnail of 4.  Artikel.pdf]
4. Artikel.pdf

Download (1MB) | Preview
[thumbnail of 5.  Bukti Hasil Turnitin.pdf]
5. Bukti Hasil Turnitin.pdf

Download (2MB) | Preview
[thumbnail of 6.  LOA - Syakir, Hasan.pdf]
6. LOA - Syakir, Hasan.pdf

Download (173kB) | Preview
Official URL: https://ejurnal.stmik-budidarma.ac.id/index.php/mi...


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.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Teknik Informatika
Depositing User: Mr Firman Noor Hasan
Date Deposited: 19 Dec 2023 05:12
Last Modified: 19 Dec 2023 05:12
URI: http://repository.uhamka.ac.id/id/eprint/29814

Actions (login required)

View Item View Item