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Open access Jurnal SINTA 1

Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 1 (2019)

DOI
10.11591/ijece.v9i1.pp426-438
ISSN
2088-8708, 2088-8708
Published
2019-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.

Collaboration network of the authors

26 authors · 53 co-authorship links · 6 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • Maranatha Christian University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Armein Z. R. LangiBandung Institute of Technology3
Carmadi MachbubBandung Institute of Technology2
Jaka Persada SembiringBandung Institute of Technology2
Yoanes BandungBandung Institute of Technology1
Herry Imanta SitepuBandung Institute of Technology1
Benhard SitohangBandung Institute of Technology1
Ahmad DahlanBandung Institute of Technology1
Dwi Hendratmo WidyantoroBandung Institute of Technology1
Ismail IsmailBandung Institute of Technology1
Hendrawan HendrawanBandung Institute of Technology1
Basuki Y. IskandarAffiliation unknown1
Sinung SuakantoBandung Institute of Technology1
Suhardi SuhardiBandung Institute of Technology1
Roberd SaragihBandung Institute of Technology1
Arry Akhmad ArmanBandung Institute of Technology1
Radiant Victor ImbarMaranatha Christian University1
Meliana Christianti JohanMaranatha Christian University1
Saiful AkbarBandung Institute of Technology1
Susetyo Bagas BhaskoroBandung Institute of Technology1
Nur IksanBandung Institute of Technology1
Nanang HariyantoBandung Institute of Technology1
I Made Ariya SanjayaBandung Institute of Technology1
Widya Liana AjiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness</dc:title><dc:creator>Lubis, Fetty Fitriyanti</dc:creator><dc:creator>Rosmansyah, Yusep</dc:creator><dc:creator>Supangkat, Suhono H.</dc:creator><dc:description>&lt;jats:p&gt;Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i1.pp426-438</dc:identifier><dc:identifier>10.11591/ijece.v9i1.pp426-438</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 1 (2019); 426</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/12066/11073</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>