KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 2 (2022): Kalbisiana

Analisis Sentimen Opini Publik dalam Bahasa Indonesia Terhadap UU Cipta Kerja Menggunakan Naïve Bayes

Alvin Andreas (Institut Teknologi dan Bisnis Kalbis)
Yulius Denny Prabowo (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
26 Jul 2022

Abstract

This study aims to apply the Naïve Bayes method in analyzing public review of the Job Work and measuring the accuracy of Naïve Bayes using twitter dataset. The dataset used in this study was taken from the data text on Twitter social media with 160 tweets. The dataset will be classified into positive sentiments and negative sentiments. The method used in the classification process is the Naïve Bayes method. The software development method used in this research is the Incremental method. The accuracy results obtained during the study were 85% with an average precision, recall, and f1-score of 85%.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...