TELKOMNIKA Telecommunication, Computing, Electronics and Control
Knowing group motivation using Bolzano method on PageRank computation

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Knowing group motivation using Bolzano method on PageRank computation

Bolzano method, Eigenvalues, PageRank, Plagiarism network, Trend analysis

On the e-learning system, student assignments are collected, but problems arise that based on observations from two classes of database courses, 73% of students make plagiarism so lecturers need to give motivation to students. Self motivate is needed by with a group of students. For this reason, using a bolzano method or bisection method will provide an overview of the development of the plagiarism trend between groups of students based on scores on similarity score that compute by PageRank algorithm used by Google. Research method is carried out by conducting preliminary observations of plagiarism scores and creating markov matrix. PageRank compute this ranking and Bolzano method find the intersection of two eigenvalues. Bolzano results the maximum and minimum values on range of intervals where each group consists of 5 students. Experiments were conducted in 3 classes of database courses. Trend analysis found that the plagiarism score averaged 54% with a gradient of 3°, this is relatively small but when spread in different groups it becomes larger and student group
have a higher plagiarism score. Results implies a way of looking student
motivation based on the plagiarism score by a small groupto motivate each other.

M. Zainal Arifin, Ahmad Naim Che Pee, Sarni Suhaila Rahim

DOI: 10.12928/TELKOMNIKA.v20i5.19650

Universitas Ahmad Dahlan

October 2022

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control