Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Dwi Agung Wibowo
D3 Teknologi Informasi, Politeknik Negeri Tanah Laut, A Yani Km 06 Desa Panggung, Tanah Laut, Indonesia
Computer Science & IT

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

Found 1 Documents
Search

 1 
Comparative Analysis of Feature Extraction Techniques for Clustering YouTube Comments on Electric Vehicles in Indonesia Afian Rizki; M Najamudin Ridha; Dwi Agung Wibowo
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2717

Abstract

This study compares TF-IDF, TF-IDF with chi-square feature selection, and BERT Sentence Transformer representations for clustering Indonesian electric-vehicle discourse in YouTube comments. A dataset of 2,601 comments from nine relevant videos published by official news accounts was preprocessed through punctuation and whitespace removal, case folding, stemming, and edit-distance correction of non-standard words. K-means was evaluated using WCSS, the elbow method, Silhouette, Calinski-Harabasz, and Davies-Bouldin indices. TF-IDF with chi-square achieved the strongest overall internal validity at k=3, with Silhouette 0.9157 and Davies-Bouldin 0.5470.
Co-Authors Afian Rizki M. Najamudin Ridha