Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal METIK JURNAL
Alyudani
STMIK Widya Cipta Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Algoritma Logistic Regression dalam Deteksi Komentar Promosi Judi Online pada YouTube Alyudani; Wahyuni; Rizky Zakariyya Rasyad
METIK Jurnal Vol. 10 No. 1 (2026): METIK Jurnal Issue Published
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/1mjskk23

Abstract

The growing popularity of video-based social media platforms such as YouTube has significantly increased user interaction through comment sections. However, this high level of activity has also led to the misuse of comment sections to promote online gambling through various writing patterns intended to disguise specific keywords. This study aims to detect online gambling promotional comments on YouTube using a text mining approach. The framework applied in this study consists of several stages, including text preprocessing, keyword-based feature engineering, TF-IDF feature extraction using character n-grams, data balancing through the Synthetic Minority Over-sampling Technique (SMOTE), and classification using the Logistic Regression algorithm. The dataset used in this study consists of 11,972 YouTube comments obtained from a YouTube video comment section and manually labeled into two classes: normal comments and online gambling promotional comments. The evaluation results show that the model achieved a precision of 1.000, recall of 0.912, F1-score of 0.954, and overall accuracy of 0.999 on the test data. These findings indicate that the combination of keyword-based features, character n-gram TF-IDF, SMOTE, and Logistic Regression can effectively detect online gambling promotional comments, particularly in minimizing the misclassification of normal comments as promotional gambling content.
Co-Authors Rizky Zakariyya Rasyad Wahyuni - Wahyuni