Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika: Jurnal Pengembangan IT
Wijaya, Egi Putu
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
Application of Naive Bayes Algorithm in Analyzing Public Sentiment towards Coretax on Platform X Wijaya, Egi Putu; Rifqo, Muhammad Husni
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6949

Abstract

Taxation is the main state data, to make it easier for people to pay taxes, an integrated application called coretax is used. However, there are many differences because it has many problems in its use. Therefore, the study was conducted to find out public sentiment towards the coretax application using a naïve Bayes algorithm. The methods used range from data collection, data cleaning, data pre-processing, classification with textblob to classification and evaluation with naïve Bayes algorithms. Of the total 2858 total data used, the results were 782 positive sentiment data, 479 negative sentiments and 1597 neutral sentiments. The results showed that the accuracy of the model could reach 81% with an f1-score value of 80%, as well as a precision and recall value of 81%. This shows that the naïve bayes algorithm is quite good at classifying public sentiment towards the coretax application.
Evolutionary Fuzzy Rule-Based Classification System dalam Analisis Sentimen terhadap Danantara Wijaya, Egi Putu; Rifqo, Muhammad Husni
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8845

Abstract

In order to improve the Indonesian economy, the government launched Danantara, a Sovereign Wealth Fund that serves to manage data owned in investment instruments such as stocks, bonds or property where the profits from this are returned to the state into the APBN, besides that Danantara aims to stabilize the economy and drive national development. However, with the huge amount of money being managed and its vital purpose, the existence of danantara has been the subject of much debate. Some people support the existence of danantara because it can help raise the Indonesian economy, but others reject the existence of danantara because they are afraid of being a place for corruption if there is mismanagement of large funds and can disrupt the current Indonesian economy. For this reason, the research aims to analyze public sentiment using the Evolutionary Fuzzy Rule-Based Classification System which has an approach to fuzzy rules that can overcome the level of ambiguity in sentiment analysis. The stages carried out in this research start from data collection using the webscraping method on platform x, data cleaning, data pre-processing, data labeling, classification of Evolutionary Fuzzy Rule-Based Classification System and at the end of the evaluation stage. The results obtained in this study are the accuracy and recall rates of 69%, then precision 72% and f1-score 70%. This shows that the Evolutionary Fuzzy Rule-Based Classification System model is less suitable in analyzing and classifying public sentiment regarding the existence of danantara.
Co-Authors Rifqo, Muhammad Husni