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Syofyan Anwar Syahputra
Electro Technic, Akademik Teknik Deli Serdang, Jalan Pagar Merbau III Gedung ATDS, Deli Serdang, 20511, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Journal : Jurnal Mantik

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Using Preprocessing Text Mining With Nazief-Adriani Algorithms Similarity Of Essay Final Exam Semester MUTIARA SIMANJUNTAK; Joel Panjaitan; Syofyan Anwar Syahputra
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The test is one way to measure the level of student ability in participating in learning. One type of exam given to students is the type of essay exam. This research focuses on making automatic grading for essay-type tests using cosine similarity. This method has several stages such as tokenizing, filtering, stemming, analyzing, weighing words in documents with cosine similarity. The stemming process uses the Nazief & Adriani algorithm. The results of this study are concluded that the selection of words that are considered as keywords in the answer key greatly affects the results of the assessment of the system. This is evidenced by testing applying the cosine law of 89.5%. However, there are several types of questions that are significantly different because there are unique characters in the database and answer keys that do not contain keywords that match the correct answer.
Co-Authors Joel Panjaitan Mutiara S. Simanjuntak