El-Mujtama: Jurnal Pengabdian Masyarakat
Vol. 5 No. 3 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat

Analisis Sentimen Netizen Terhadap Efisiensi APBN Menggunakan Orange Data Mining

Anto Febria (Unknown)
Joko Triloka (Unknown)

Article Info

Publish Date
01 May 2025

Abstract

The government's policy of APBN efficiency in 2025 has caused debate on social media including the X application (Twitter). Social media users and activists convey comments and opinions according to their respective sentiments, whether they agree, disagree, or are neutral towards government policies. This study will try to analyze sentiment on netizens' opinions and views using the Orange Data Mining application with the Sentiment Analysis - Multilingual Sentiment method. Testing is also carried out using the Naïve Bayes algorithm to measure the level of accuracy and prediction error. The results of the sentiment analysis in this study are that most support the APBN efficiency policy with a level of confidence and accuracy approaching 100%.

Copyrights © 2025




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
El-Mujtama: Jurnal Pengabdian Masyarakat
Website

Abbrev

elmujtama

Publisher

Institut Agama Islam Nasional Laa Roiba Bogor

Subject

Religion Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Description

El-Mujtama: Jurnal Pengabdian Masyarakat is a scientific journal about community service programs and activities as part of the implementation of the Tri Dharma of Higher Education. This journal is published three times a year every January, May and September, managed by Lembaga Publikasi Ilmiah ...