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All Journal Jurnal Informatika Terpadu Transcendent Journal of Mathematics and Applications
Pranata, Aditya
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Mathematics Physics

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Klasifikasi Teks Quick Count Pemilihan Presiden 2024 pada Twitter menggunakan Metode TF-IDF dan Naive Bayes Pranata, Aditya; Rudiman, Rudiman; Verdikha, Naufal Azmi
Jurnal Informatika Terpadu Vol 10 No 2 (2024): September, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i2.1279

Abstract

The 2024 Indonesian Presidential Election generated various responses on X Twitter platform related to the Quick Count. The large number of diverse opinions makes identifying and categorizing sentiments difficult. This study aims to evaluate the accuracy of the Naive Bayes method with TF-IDF weighting in text classification regarding the Quick Count of the 2024 Presidential Election on X Twitter. Data was obtained through crawling, resulting in 2113 tweets, which experts in data labelling then labelled. The preprocessing stage includes case folding, cleansing, stopword removal, and stemming. Words are weighted using TF-IDF, and then the data is divided into 80% for training and 20% for testing. Text classification using the Naive Bayes algorithm achieved an accuracy of 74.46%, indicating a pretty good accuracy in classifying text related to the 2024 Presidential Election Quick Count on X Twitter.
An Analysis of Internal Factors Affecting the Study Continuation Interest of High School Students in Banda Aceh Toward Universitas Syiah Kuala Nurhasanah, Nurhasanah; Pranata, Aditya; AR, Fitriana; Mulyani, Riska
Transcendent Journal of Mathematics and Applications Vol 4, No 1 (2025)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v4i1.44757

Abstract

Interest is a psychological tendency that drives individuals to choose certain objects or activities based on their needs, later manifested through attention and active engagement. In high school students (SMA), interest in pursuing higher education typically begins to form in the 11th grade as awareness of future planning increases. However, a phenomenon observed in several high schools in Aceh, particularly in Banda Aceh, shows that many high-achieving students prefer to continue their studies outside the province, despite the presence of a well-accredited university Universitas Syiah Kuala (USK) which offers 67 study programs across 12 faculties and serves around 30,000 students. This study aims to verify this trend using a quantitative survey approach conducted among public high school students in Banda Aceh. The main focus is to identify the best model representing student interest data and to reveal factors influencing their decision to choose USK. Using logistic regression due to the binary categorical nature of the dependent variable (interested vs. not interested), the study found that at a 10% significance level, three variables significantly influence students interest: affiliation ability (X), goal orientation (X), and hope for the future (X). Among these, goal orientation (X) had the strongest influence, with an odds ratio of 1.712. This indicates that the stronger a students academic or career goals, the higher their tendency to choose Universitas Syiah Kuala for further education.
Co-Authors Fitriana AR Mulyani, Riska Naufal Azmi Verdikha Nurhasanah Nurhasanah Rudiman, Rudiman