Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Jurnal Mantik
Astri Pertiwi
Universitas Nasional
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sentiment Analysis of the Impact of Covid-19 on Indonesia's Economy through Social Media Using the ANN Method: Sentiment Analysis of the Impact of Covid-19 on Indonesia's Economy through Social Media Using the ANN Method Astri Pertiwi; Agung Triayudi; Endah Tri Esti Handayani
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.141 KB)

Abstract

Social media platforms and micro blogging websites are rich sources of user-generated data. The internet has changed the way people express their thoughts and feelings through social media, like Twitter. Twitter as a place for information flow, Twitter is a rich source for learning about people's opinions and sentiment analysis. This study aims to determine how much the impact of the co-19 pandemic on economic conditions in Indonesia, measured from the resulting community sentiment. To solve the problem in this case study using a method that is for pre-processing data using cleansing, filtering, tokenization and stemming. The classification process uses the Artificial Neural Networks (ANN) method. The data used are Indonesian-language tweets with the keywords Covid-19, Economi Indonesia, MSME, storylineverline and phk, with a dataset of 1600 tweets. The results of this study are sentiment analysis of the impact of co-19 on the Indonesian economy. Results of training dataSMEs get an accuracy of 99.37% and Ojekonline data get an accuracy of 99.25%.
Co-Authors Agung Triayudi Endah Tri Esti Handayani