Prototype of Online Examination on MoLearn Applications Using Text Similarity to Detect Plagiarism

Lemantara, Julianto ORCID: https://orcid.org/0000-0001-7494-8564, Sunarto, M.J. Dewiyani ORCID: https://orcid.org/0000-0001-9232-1714, Hariadi, Bambang ORCID: https://orcid.org/0000-0001-9535-6752, Sagirani, Tri ORCID: https://orcid.org/0000-0002-6153-5477 and Amelia, Tan (2018) Prototype of Online Examination on MoLearn Applications Using Text Similarity to Detect Plagiarism. In: 2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 26 - 28 September 2018, Semarang.

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Abstract

The existence of mobile learning is a logical consequence of information technology advancement in education. In the previous research, the produced mobile learning application called MoLearn can only handle automatic assessments of online exam with multiple choice questions. Currently, MoLearn has not been able to fully meet needs of school on the learning evaluation of essay questions. Automatic assessment of essay answers is more difficult to match with key answers, but the reality is still a lot of exams use the type of essay questions. Therefore, the solution offered is the creation of online exam prototype that can perform essay assessment using text similarity method. The text similarity methods that can be used to assess the correctness level of answer and plagiarism level of answers among examinees are cosine similarity, Smith-Waterman, and Latent Semantic Analysis (LSA) algorithms. The results show that this prototype can give MoLearn application development proposal to handle automatic assessment of essay questions. In addition, this prototype can also display the level of plagiarism answers among students as an effort to promote the value of honesty.


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Item Type: Conference or Workshop Item (Paper)
Additional Information: Julianto Lemantara, Et All
Uncontrolled Keywords: mobile learning, molearn, plagiarism, cosine similarity, smith-waterman, latent semantic analysis
Dewey Decimal Classification: 300 – Social sciences > 370 Education > 371 Schools & their activities; special education
Divisions: Perpustakaan > Prosiding/Call for Papers
Depositing User: Annuh Liwan Nahar
Date Deposited: 24 Mar 2020 08:32
Last Modified: 06 Jun 2022 08:56
URI: http://repository.dinamika.ac.id/id/eprint/4142

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