(JUTIF - S3) - Sari, Ramadhita, Hasan [2024-02-16]

Hasan, Firman Noor (2024) (JUTIF - S3) - Sari, Ramadhita, Hasan [2024-02-16]. JUTIF: Jurnal Teknik Informatika, 5 (1). pp. 243-251. ISSN 2723-3871

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

Download (474kB) | Preview
[thumbnail of 2.  Editorial Team.pdf]
Preview
Text
2. Editorial Team.pdf

Download (224kB) | Preview
[thumbnail of 3.  Daftar Isi.pdf]
Preview
Text
3. Daftar Isi.pdf

Download (343kB) | Preview
[thumbnail of 4.  Artikel.pdf]
Preview
Text
4. Artikel.pdf

Download (816kB) | Preview
[thumbnail of 5.  Bukti Hasil Turnitin.pdf]
Preview
Text
5. Bukti Hasil Turnitin.pdf

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

Download (260kB) | Preview
Official URL: https://jutif.if.unsoed.ac.id/index.php/jurnal/art...

Abstract

Advances in information technology have an influence on companies and agencies to innovate. The Tije application is one of the innovations that has been made by PT Tranportasi Jakarta which is used by its users. However, each application has advantages and disadvantages, including the Tije application which has an impact on the disruption of the function of supporting user services as the purpose of making this application. This can certainly trigger a response from users which can be submitted through the review column on the Google Play Store platform. This research was conducted to analyze the sentiment of community reviews of Tije application users on the Google Play Store platform using the Naïve Bayes Classifier method. Tije application review data collection is done by web scrapping techniques on the Google Play Store using Google Colab. Then, the collected data will be processed to eliminate inappropriate elements and get sentiment content on each review, whether the review falls into the category of positive or negative sentiment towards the Tije application. The results of this study conclude that users are dissatisfied and disappointed with the services available on the Tije application. This is evidenced by the number of negative sentiments that are more dominant and in the application of the Naive Bayes algorithm in this study, obtained quite good accuracy results of 85.88%.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Teknik Informatika
Depositing User: Mr Firman Noor Hasan
Date Deposited: 20 Feb 2024 06:54
Last Modified: 20 Feb 2024 06:54
URI: http://repository.uhamka.ac.id/id/eprint/33358

Actions (login required)

View Item View Item