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

Ninda Lutfiani; Sutarto Wijono; Untung Rahardja; Ade Iriani; Qurotul Aini; Rafly Ananda Dwi Septian

doi:10.34306/att.v5i2.279

Authors

Ninda Lutfiani University of Raharja
Sutarto Wijono University Kristen Satya Wacana
Untung Rahardja University of Raharja
Ade Iriani University Kristen Satya Wacana
Qurotul Aini University of Raharja
Rafly Ananda Dwi Septian University of Raharja

DOI:

https://doi.org/10.34306/att.v5i2.279

Keywords:

Bibliometrics, LMS, eLearning, Artificial Intelligent, Chatbot

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.

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