Classification of Extroverted, Introverted Personality based on response to “Peringatan Darurat” on social media X using IndoBERT method

Aura sabina (telkom university)
Yuliant Sibaroni (Telkom University)

IJoICT (International Journal on Information and Communication Technology)
Vol. 12 No. 1 (2026): Vol.12 No.1 Jun 2026

The performance of the IndoBERT model was tested to classify introvert and extrovert personalities based on text data. The data consists of responses from users of social media platform X to the viral issue of “Peringantan Darurat”. The workflow includes data crawling, labelling according to personality categories, and text pre-processing prior to analysis. The IndoBERT model utilises training data to learn language patterns within each personality category in order to perform classification effectively. Test results show that the model is able to identify personality types quite well, with an F1-score of 90%. The use of a more balanced dataset, particularly regarding extrovert data, is recommended to improve classification performance whilst supporting the development of Indonesian natural language processing. Keywords: Personality classification, extrovert, introvert, IndoBERT, social media.