Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

Authors

  • Netri Alia Rahmi, Netri Airlangga University
  • Rudiman Rudiman University of Muhammadiyah East Kalimantan

DOI:

https://doi.org/10.30650/jse.v1i1.3680

Keywords:

Learn Method, Latent Dirichlet Allocation, Twitter, Text Mining

Abstract

Learning method is a way to explain the lesson materials to students so that the learning process can occur in students as an effort to achieve the goals. Learning methods can be said to be a success if students are active, both physically, mentally, and socially in the learning process, in addition to showing high enthusiasm for learning and having self-confidence. The purpose of this study is to classify the opinions of Indonesian students regarding the existing learning methods and what learning methods they expected.  In order to evaluate existing learning methods using the latent dirichlet allocation method. The data used comes from tweets of Twitter users within the range of January to March 2022. The data is taken using the scrapping method through the help of the python twisel library and totaled to 3778 data, then preprocessed through the nltk and Sastrawi libraries. The results of this analysis stated that student opinions can be classified into 3 major topics which state students' opinions regarding effective learning methods, student difficulties in applicable learning methods, and high cross-departmental interest.

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Published

2023-09-27

How to Cite

Rahmi, Netri Alia, and Rudiman Rudiman. 2023. “Latent Dirichlet Allocation Utilization As a Text Mining Method to Elaborate Learning Effectiveness”. JSE Journal of Science and Engineering 2 (1):23-29. https://doi.org/10.30650/jse.v1i1.3680.

Issue

Section

Informatics and Information Technology