Sentiment Analysis of Public Perception Regarding the Merdeka Belajar Kampus Merdeka (MBKM) Policy on Twitter Using the K-Nearest Neighbor (K-NN) Method

DOI

10.2991/978-94-6463-587-4_10How to use a DOI?

Keywords

Public Sentiment; MBKM; K-Nearest Neighbor

Abstract

This research aims to analyze public sentiment and perceptions of the Merdeka Belajar Kampus Merdeka (MBKM) policy through data obtained from social media Twitter. MBKM is a higher education policy in Indonesia that aims to provide tolerance and independence for students in choosing courses and accessing learning resources. The K-Nearest Neighbor (K-NN) method is used to classify sentiment based on text tweets related to MBKM. The steps in this research including tweet data containing keywords related to MBKM taken from Twitter, the text data is extracted, cleaned, and converted into a vector representation, and the K-NN model is drilled using the preprocessed tweet data. This model will classify sentiment into positive, negative, or neutral. Model performance is evaluated using metrics such as accuracy, precision, and recall. It is hoped that the results of this research will provide insight into how society responds to MBKM policies through social media platforms. With a further understanding of these sentiments, educational institutions can take appropriate actions to improve MBKM implementation. The algorithm was applied to 2000 tweet data with the keyword “MBKM”. The model training results prove that the negative precision score is 85%, neutral precision is 53%, positive precision is 70% and accuracy is 71%.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Gusti Ngurah Bagus Catur Bawa
AU  - Ida Bagus Putra Manuaba
AU  - Made Pradnyana Ambara
AU  - I Wayan Suasnawa
AU  - I Putu Bagus Arya Pradnyana
AU  - I Nyoman Eddy Indrayana
PY  - 2024
DA  - 2024/12/01
TI  - Sentiment Analysis of Public Perception Regarding the Merdeka Belajar Kampus Merdeka (MBKM) Policy on Twitter Using the K-Nearest Neighbor (K-NN) Method
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)
PB  - Atlantis Press
SP  - 80
EP  - 87
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-587-4_10
DO  - 10.2991/978-94-6463-587-4_10
ID  - Bawa2024
ER  -