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Keywords

clustering, LDA, research, topic modeling

Document Type

Article

Abstract

The mapping of research topics for lecturers is necessary to determine the research tendencies in a department or study program. This study aims to implement topic modeling in the publication titles of the Department of Electronics and Informatics Education Engineering of Universitas Negeri Yogyakarta (JPTEI UNY) lecturers taken from Google Scholar. The method used for topic modeling is the Latent Dirichlet Allocation (LDA). LDA is a generative probabilistic model for finding the semantic structure of a corpus collection based on the hierarchical bayesian analysis. After the topic modeling process, the results showed that JPTEI UNY lecturers tend to have four research clusters consisting of vocational education, system development, learning media, and vocational learning systems.

First Page

154

Last Page

161

Page Range

154-161

Issue

2

Volume

4

Digital Object Identifier (DOI)

10.21831/elinvo.v4i2.28254

Source

https://journal.uny.ac.id/index.php/elinvo/article/view/28254

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