Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Dedy Rahman Harahap
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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

Found 1 Documents
Search

 1 
PERBANDINGAN NLP DAN SVM DALAM ANALISIS SENTIMEN KOMENTAR INSTAGRAM TERKAIT STIGMA MASYARAKAT TERHADAP BANJIR SUMATERA 2025 Muhammad Akbar Firdaus; Maisya Fitri Anugrah; Sri Hidayati; Dedy Rahman Harahap; Rendy Rabensi Sembiring; Muhammad Syahputra Novelan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6176

Abstract

This study aims to analyze public sentiment regarding the 2025 Sumatra flood based on Instagram comments using a Natural Language Processing (NLP) approach. The methods applied include IndoBERT and Support Vector Machine (SVM) with TF-IDF features. A total of 711 comments were collected through a crawling process and processed using preprocessing techniques. The results show that negative sentiment dominates at 44.7%, followed by positive (30.4%) and neutral (24.9%) sentiments. Model evaluation indicates that IndoBERT outperforms SVM with an accuracy of 74.8% compared to 66.4%. WordCloud visualization reveals dominant terms such as flood, government, forest, and palm oil, reflecting public concerns about environmental issues and government policies.
Co-Authors Maisya Fitri Anugrah Muhammad Akbar Firdaus Muhammad Syahputra Novelan Rendy Rabensi Sembiring Sri Hidayati