Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Syntax Literate: Jurnal Ilmiah Indonesia Engineering, Mathematics and Computer Science Journal (EMACS)
Nurhasanah Nurhasanah
Universitas Bina Nusantara, Jakarta, Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Comparing SVM and Naïve Bayes Classifier for Fake News Detection Nurhasanah Nurhasanah; Daniel Emerald Sumarly; Jason Pratama; Ibrahim Tan Kah Heng; Edy Irwansyah
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 4 No. 3 (2022): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v4i3.8670

Abstract

Fake news has been evolving into a problem that is getting even more challenging. Technology has been misused to spread false information about many things, such as war, pandemics, and the stock market. Unfortunately, this issue is not a big deal for some people without conscious consumption of that news. Hence, being part takes a role in combating the spread of false information using the advancement of technology. This study proposed two methods of machine learning model, Support Vector Machine (SVM) and Naïve Bayes, to classify fake news. Furthermore, to assert the applicability of models by examining news articles dataset which contain two labels, reliable and unreliable news. The higher accuracy is 0.96 using the SVM model
Pengaruh Kepercayaan dan Kepuasan Pelanggan terhadap Niat Pembelian Berulang (Patronage Intention) dalam Konteks Ritel Omnichannel M.Imam Buchory; Nurhasanah Nurhasanah; Eva Ameilia; Tengku Mohd. Khairal Abdullah
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.334 KB) | DOI: 10.36418/syntax-literate.v8i5.12342

Abstract

Rapid advances in technology, coupled with the COVID-19 pandemic, have increased people's online shopping behavior. One of the retail sales schemes that is starting to develop is omnichannel retail where retailers provide a seamless shopping process for their customers. Several grocery retailers currently seem to be trying to implement an omnichannel scheme. Therefore, this study aims to determine whether or not there is an influence on the variables of trust and customer satisfaction towards patronage intention in modern grocery retail stores that have provided omnichannel services. The research method used is quantitative analysis by conducting a survey. The results show that trust has a positive effect on patronage intention, satisfaction has a positive effect on patronage intention and satisfaction mediates the relationship between trust and patronage intention.
Co-Authors Daniel Emerald Sumarly Edy Irwansyah Eva Ameilia Ibrahim Tan Kah Heng Jason Pratama M.Imam Buchory Tengku Mohd. Khairal Abdullah