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All Journal Jurnal Kajian Ilmiah
Alfirna Rizqi Lahitani
Fakultas Teknik dan Teknologi Informasi; Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Automated Essay Scoring menggunakan Cosine Similarity pada Penilaian Esai Multi Soal Alfirna Rizqi Lahitani
Jurnal Kajian Ilmiah Vol. 22 No. 2 (2022): May 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/m8n1x493

Abstract

Process of determining scores automatically from one or several documents based on text data included in the field of Automated Essay Scoring (AES). Mechanism for scoring answers manually takes a long time to assess students' essay answers, especially for multi-question answers. The implementation of Automated Essay Scoring (AES) is to make correction and scoring easier by application that run on computers. This study applied TF-IDF weighting method and cosine similarity measurement method in multi-question of essay answer document. The test carried out through the preprocessing phase for data extraction, then weighting on each word term. Weighted value is the calculated using cosine similarity to get the degree of similarity. In each question, the point has been given, the cosine similarity value can be calculated with points from each question. This process produces a final score from student answer document which is compared with an expert document. By using the principle of similarity, only the relevant text or character from an expert document will be given weight, to get the similarity value, the number of terms contained in the answer document must match, neither in fewer nor more in number.
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