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A Bibliometric Study: Recommendation based on Artificial Intelligence for iLearning Education

Aptisi Transactions on Technopreneurship (ATT) · Vol. 5 No. 2 (2022) · pp. 109–117

DOI
10.34306/att.v5i2.279
ISSN
2656-8888, 2655-8807
Published
2022-11-30
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

Since most students begin their studies online, the LMS platform is frequently used. Universities and colleges play a crucial role in adopting many of its LMS platforms. A web-based application software package called Bibliometrics is used to design, test, and evaluate specific learning processes. LMS will be the dominant artificial intelligence-based solution for managing eLearning starting in early 2021. The principal objective of this project is to develop an artificial intelligence-powered LMS portal that enables students to continue studying and receive the most recent lessons from their teachers. Using the Communicate cloud software and Dialog Flow, a chatbot plugin system connected to the Google platform, and based on current needs, research bibliometrics was developed as an LMS project system. Students can interact with the chatbot anytime to satisfy their learning needs as long as they have an internet connection and a student ID card to access the dashboard. The LMS Platform, which was developed utilizing Bibliometrics and Artificial Intelligence approaches to help students access resources and complete teacher tasks, is a novelty in this work, according to earlier publications that have been evaluated.

Keywords

Collaboration network of the authors

40 authors · 159 co-authorship links · 15 across different organisations · showing the 40 most connected

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

  • Universitas Raharja
  • Satya Wacana Christian University
  • Universitas Buddhi Dharma
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Danny ManonggaSatya Wacana Christian University17
Irwan SembiringSatya Wacana Christian University16
Nuke Puji Lestari SantosoUniversitas Raharja9
Alfiah KhoirunisaUniversitas Raharja9
Po Abas SunaryaAffiliation unknown9
Agung RizkyAffiliation unknown8
Untung RahardjaUniversitas Raharja7
Hindriyanto Dwi PurnomoSatya Wacana Christian University7
Shofiyul MillahAffiliation unknown6
Natasya Aprila YusufAffiliation unknown5
Fitra Putri OgandaUniversitas Raharja4
Dwi ApriliasariAffiliation unknown4
Adam FaturahmanAffiliation unknown4
Muhtarom MuhtaromAffiliation unknown3
Indri HandayaniUniversitas Raharja3
Nesti Anggraini SantosoAffiliation unknown3
Ihsan Nuril HikamAffiliation unknown3
Aditya MardiansyahAffiliation unknown3
Alwiyah AlwiyahAffiliation unknown3
Eka Purnama HarahapUniversitas Raharja3
Marviola HardiniAffiliation unknown3
Nuke Puji Lestari SantosoAffiliation unknown3
Dwi JulianingsihAffiliation unknown3
Desy AprianiAffiliation unknown2
Mohamad RakhmansyahAffiliation unknown2
Umi NarimawatiAffiliation unknown2
Joko SiswantoAffiliation unknown2
Eko SediyonoSatya Wacana Christian University2
Tarisya RamadhanAffiliation unknown2
Andriyansah AndriyansahAffiliation unknown2
Raihan RaihanAffiliation unknown2
Efa Ayu NabilaAffiliation unknown2
Farida AgustinAffiliation unknown2
Benny DaniawanUniversitas Buddhi Dharma1

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.

Metadata source: OAI-PMH (metadata jurnal) https://att.aptisi.or.id/index.php/att/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">A Bibliometric Study : Recommendation based on Artificial Intelligence for iLearning Education</dc:title>
	<dc:creator xml:lang="en">Lutfiani, Ninda</dc:creator>
	<dc:creator xml:lang="en">Wijono, Sutarto</dc:creator>
	<dc:creator xml:lang="en">Rahardja, Untung</dc:creator>
	<dc:creator xml:lang="en">Iriani, Ade</dc:creator>
	<dc:creator xml:lang="en">Aini, Qurotul</dc:creator>
	<dc:creator xml:lang="en">Septian, Rafly Ananda Dwi</dc:creator>
	<dc:subject xml:lang="en">Bibliometrics</dc:subject>
	<dc:subject xml:lang="en">LMS</dc:subject>
	<dc:subject xml:lang="en">eLearning</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligent</dc:subject>
	<dc:subject xml:lang="en">Chatbot</dc:subject>
	<dc:description xml:lang="en">Since most students begin their studies online, the LMS platform is frequently used. Universities and colleges play a crucial role in adopting many of its LMS platforms. A web-based application software package called Bibliometrics is used to design, test, and evaluate specific learning processes. LMS will be the dominant artificial intelligence-based solution for managing eLearning starting in early 2021. The principal objective of this project is to develop an artificial intelligence-powered LMS portal that enables students to continue studying and receive the most recent lessons from their teachers. Using the Communicate cloud software and Dialog Flow, a chatbot plugin system connected to the Google platform, and based on current needs, research bibliometrics was developed as an LMS project system. Students can interact with the chatbot anytime to satisfy their learning needs as long as they have an internet connection and a student ID card to access the dashboard. The LMS Platform, which was developed utilizing Bibliometrics and Artificial Intelligence approaches to help students access resources and complete teacher tasks, is a novelty in this work, according to earlier publications that have been evaluated.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2022-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://att.aptisi.or.id/index.php/att/article/view/279</dc:identifier>
	<dc:identifier>10.34306/att.v5i2.279</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 5 No. 2 (2023):  July; 109-117</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 5 No 2 (2023):  July; 109-117</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v5i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/279/190</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Ninda Lutfiani, Sutarto Wijono, Untung Rahardja, Ade Iriani, Qurotul Aini, Rafly Ananda Dwi Septian</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>