Sentiment Analysis in Social Media: Case Study in Indonesia

Muhaimin, Amri
Fahrudin, Tresna Maulana
Alamiyah, Syifa Syarifah
Arviani, Heidy
Kusuma, Ade
Sari, Allan Ruhui Fatmah
Lisanthoni, Angela

Nusantara Science and Technology Proceedings
8th International Seminar of Research Month 2023

Stunting is a problem that currently requires special attention in Indonesia. The stunting rate in 2022 will drop to 21.6% and for the future, the government has set a target of up to 14% in 2024. There have been many government efforts in implementing programs to reduce stunting rates. However, not everything runs optimally. Rapid technological developments and freedom of expression in the internet world produce review text data that can be analyzed for evaluation. This study aims to analyze the text data of Twitter users' reviews on stunting. The method used is a text-mining approach and topic modeling based on Latent Dirichlet Allocation (LDA). The results show that negative sentiment dominates by 60.6%, positive sentiment by 31.5%, and neutral by 7.9%. In addition, this research shows that 'anak', 'turun', 'angka', 'cegah' and 'gizi' are among the words that often appear on the topic of stunting.