ELINVO (Electronics, Informatics, and Vocational Education)
Vol 4, No 2 (2019): November 2019

Topik Modeling Penelitian Dosen JPTEI UNY Pada Google Scholar Menggunakan Latent Dirichlet Allocation

Akhsin Nurlayli (Universitas Negeri Yogyakarta)
Moch. Ari Nasichuddin (PT. Atmatech Global Informatika)

Article Info

Publish Date
27 Nov 2019


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.

Copyrights © 2019

Journal Info





Computer Science & IT Education Electrical & Electronics Engineering


ELINVO (Electronics, Informatics and Vocational Education) is a peer-reviewed journal that publishes high-quality scientific articles in Indonesian language or English in the form of research results (the main priority) and or review studies in the field of electronics and informatics both in terms ...