eprintid: 28201
rev_number: 16
eprint_status: archive
userid: 1636
dir: disk0/00/02/82/01
datestamp: 2023-08-14 07:49:27
lastmod: 2023-08-14 07:49:27
status_changed: 2023-08-14 07:49:27
type: article
metadata_visibility: show
creators_name: Hasan, Firman Noor
creators_id: firman.noorhasan@uhamka.ac.id
creators_orcid: 0000-0002-1246-3462
title: (ZONAsi - S4) - Alfandi, Hasan [2023-01-28]
ispublished: pub
subjects: T1
divisions: 55201
abstract: Online shopping is so popular with the public because it is easy and convenient to do. The convenience of online shopping is supported by the payment method via paylater. However, paylater also results in bad behavior such as impulse buying. Various responses from the community made researchers conduct research to find out the public's view of paylater. In this study, researchers tried to do sentiment analysis using the Naive Bayes Classifier and TextBlob methods from the TetxBlob library with the Python programming language. From the dataset collected via Twitter, it produces 405 data. Sentiment analysis using the Naive Bayes Classifier method produces a negative sentiment of 70.62% or 286 data, positive sentiment is 22.72% or 92 data, neutral sentiment is 6.67% or 27 data. Meanwhile, using the TextBlob method also produced more negative sentiment, namely 55.8% or 226 data, positive sentiment collected 33.09% or 134 data, neutral sentiment amounted to 11.11% or 45 data. Thus, it can be concluded that the community feels unfavorable towards the use of paylater. In testing the model with the confussion matrix, it can be seen that the Naive Bayes Classifier algorithm is more accurate by 91% compared to TextBlob which is only 61%.
date: 2023-01-28
date_type: published
publisher: Unilak Press
official_url: https://journal.unilak.ac.id/index.php/zn/article/view/12856
id_number: https://doi.org/10.31849/zn.v5i1.12856
full_text_status: public
publication: ZONAsi: Jurnal Sistem Informasi
volume: 5
number: 1
pagerange: 59-70
refereed: TRUE
issn: 2656-7407
citation:   Hasan, Firman Noor  (2023) (ZONAsi - S4) - Alfandi, Hasan [2023-01-28].  ZONAsi: Jurnal Sistem Informasi, 5 (1).  pp. 59-70.  ISSN 2656-7407     
document_url: http://repository.uhamka.ac.id/id/eprint/28201/1/2.%20%20Editorial%20Team.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/28201/2/3.%20%20Daftar%20Isi.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/28201/1/4.%20%20Artikel.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/28201/2/5.%20%20Bukti%20Hasil%20Cek%20Turnitin.pdf