Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan
CAROL DWI PUTRA
UNIVERSITAS MUHAMMADIYAH SUKABUMI
Computer Science & IT

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

Found 1 Documents
Search

 1 
PEMODELAN TOPIC PERCAKAPAN PUBLIK MENGENAI KESEHATAN MENTAL REMAJA DI PLATFORM X MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION CAROL DWI PUTRA
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10809

Abstract

The high volume of unstructured conversations regarding adolescent mental health on platform X complicates manual topic identification. This study aims to map these public discourses using Latent Dirichlet Allocation (LDA) within the CRISP-DM framework. The corpus comprises 8,792 Indonesian tweets (combining Apify and Kaggle datasets) processed through noise removal, slang normalization, and bigram detection. Combined Coherence Score evaluation and qualitative interpretation identified an 11-topic model ( = 0.4880) as the optimal architecture. This validity was further corroborated by two independent raters against an alternative model (K=15), confirming the 11-topic model achieved comparable or superior coherence. The most dominant topics were general restlessness with self-soothing efforts (35.26%) and clinical anxiety with daily emotional pressure (18.16%). Furthermore, the study revealed that fandom-related terms are distributed across multiple topics, indicating that online community engagement functions as a cross-cutting element within adolescent mental health discourse.
Co-Authors