Scientific Journal of Informatics
Vol. 11 No. 4: November 2024

Analysis of Sentiment Towards Educational Services in Modern Islamic Boarding Schools using the Naïve Bayes Method

Minardi, Joko (Unknown)
Noor Azizah (Unknown)
Ahmad Saefudin (Unknown)
Alzena Dona Sabilla (Unknown)
Dinta Sabrina (Unknown)
Yulia Savika Rahmi (Unknown)

Article Info

Publish Date
07 Mar 2025

Abstract

Purpose: This study aims to analyze public sentiment regarding educational services in modern Islamic boarding schools using the Naïve Bayes method. The findings provide recommendations for improving educational quality. Methods: The research follows the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, utilizing web scraping techniques to collect data from social media and online discussion forums. The Naïve Bayes algorithm is used for sentiment classification. Result: A dataset of 387 reviews was analyzed, showing that 82.8% of reviews were positive, while 17.2% were negative. The model achieved an accuracy of 88%. Novelty: Unlike previous studies, this research focuses specifically on modern Islamic boarding schools, employing machine learning for sentiment classification to provide actionable recommendations.

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Journal Info
Scientific Journal of Informatics
Website

Abbrev

sji

Publisher

Universitas Negeri Semarang

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Description

Scientific Journal of Informatics (p-ISSN 2407-7658 | e-ISSN 2460-0040) published by the Department of Computer Science, Universitas Negeri Semarang, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the ...