Comparison of Support Vector Machine (SVM) and Random Forest Algorithms in the Analysis of SOcial Media X User Sentiment Towards the TNI Bill

The rapid advancement of information technology has enabled the public to openly express their views through social media, including on strategic national issues such as the Draft Law on the Indonesian National Armed Forces (RUU TNI). This study aims to map public sentiment toward the RUU TNI and to...

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Bibliographic Details

Published in:	Journal of Applied Informatics and Computing Vol. 9; no. 5; pp. 2854 - 2860
Main Authors:	Rochmawati, Nur, Zyen, Akhmad Khanif, Widiastuti, Nur Aeni
Format:	Journal Article
Language:	English Indonesian
Published:	Politeknik Negeri Batam 19.10.2025
Subjects:	analisis sentiment random forest ruu tni support vector machine
ISSN:	2548-6861, 2548-6861
Online Access:	Get full text
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