eprintid: 32133
rev_number: 17
eprint_status: archive
userid: 1636
dir: disk0/00/03/21/33
datestamp: 2024-02-03 01:05:29
lastmod: 2024-02-03 01:05:29
status_changed: 2024-02-03 01:05:29
type: article
metadata_visibility: show
creators_name: Hasan, Firman Noor
creators_id: firman.noorhasan@uhamka.ac.id
creators_orcid: 0000-0002-1246-3462
title: (KESATRIA - S4) - Faisal, Febriandirza, Hasan [2024-01-25]
ispublished: pub
subjects: T1
divisions: 55201
abstract: PLN's mobile applications have become an important part of modern society, providing easy and fast services. However, the user experience of these apps often reflects dynamic changes in the technology environment and user needs. Therefore, sentiment analysis of user reviews becomes very important to find out what users feel and how best to improve the application. This thesis uses the Support Vector Machine (SVM) method to perform sentiment analysis of PLN Mobile app user reviews. SVM is an effective algorithm in text classification based on sentiment. Through this study, it is expected that the analysis results can be used for improvement and enhancement of the PLN Mobile application, thus providing a better user experience.
date: 2024-01-25
date_type: published
publisher: LPPM STIKOM Tunas Bangsa
official_url: http://www.pkm.tunasbangsa.ac.id/index.php/kesatria/article/view/339
id_number: https://doi.org/10.30645/kesatria.v5i1.339.g336
full_text_status: public
publication: KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen)
volume: 5
number: 1
pagerange: 303-312
refereed: TRUE
issn: 2720-992X
related_url_url: http://www.pkm.tunasbangsa.ac.id/index.php/kesatria/
related_url_type: pub
citation:   Hasan, Firman Noor  (2024) (KESATRIA - S4) - Faisal, Febriandirza, Hasan [2024-01-25].  KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen), 5 (1).  pp. 303-312.  ISSN 2720-992X     
document_url: http://repository.uhamka.ac.id/id/eprint/32133/1/1.%20%20Cover.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/32133/2/2.%20%20Editorial%20Team.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/32133/3/3.%20%20Daftar%20Isi.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/32133/5/4.%20%20Artikel.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/32133/4/5.%20%20Bukti%20Hasil%20Turnitin.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/32133/4/6.%20%20LOA%20-%20Faisal%2C%20Febriandirza%2C%20Hasan.pdf