(JUTIKOM - S0) - Irwiensyah, Hasan [2023-05-29]

Hasan, Firman Noor (2023) (JUTIKOM - S0) - Irwiensyah, Hasan [2023-05-29]. JUTIKOM: Jurnal Teknik Informatika dan Komputer, 2 (1). pp. 18-23. ISSN 2829-0208

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

Download (577kB) | Preview
[thumbnail of 2.  Editorial Team.pdf]
2. Editorial Team.pdf

Download (259kB) | Preview
[thumbnail of 3.  Daftar Isi.pdf]
3. Daftar Isi.pdf

Download (378kB) | Preview
[thumbnail of 4.  Artikel.pdf]
4. Artikel.pdf

Download (318kB) | Preview
[thumbnail of 5.  Bukti Hasil Cek Turnitin.pdf]
5. Bukti Hasil Cek Turnitin.pdf

Download (1MB) | Preview
[thumbnail of 6.  LOA - Irwiensyah, Hasan.pdf]
6. LOA - Irwiensyah, Hasan.pdf

Download (192kB) | Preview
Official URL: https://journal.uhamka.ac.id/index.php/jutikom/art...


Cooking oil is a basic need for Indonesian people. Indonesia experienced a shortage of oil in March 2022. This was a hot topic of discussion on social media Twitter last March, many people thought positively or negatively. However behind it all, there are differences in the assessment of parties who feel the pros and cons, various parties have different points of view. In this article, we conduct a sentiment analysis of public responses regarding the scarcity of cooking oil using a dataset obtained from the Twitter digital platform. This article aims to classify tweets related to the scarcity of cooking oil into positive and negative sentiments using a machine learning strategy with the Naive Bayes and lexicon based methods. This algorithm was chosen to make it easier for interested users to compare methods and find out how accurate it is, which is where the level of accuracy obtained from the lexicon method is 42% and the method using the naïve Bayes classifier is 72%. Shows the results of the analysis related to the scarcity of cooking oil for the highest level of accuracy, namely the method that uses the naïve Bayes classifier compared to the method that uses lexicon based

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Teknik Informatika
Depositing User: Mr Firman Noor Hasan
Date Deposited: 14 Aug 2023 09:26
Last Modified: 14 Aug 2023 09:26
URI: http://repository.uhamka.ac.id/id/eprint/28211

Actions (login required)

View Item View Item