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All Journal JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Kajian Ilmiah Teknomatika: Jurnal Informatika dan Komputer
Lahitani, Alfirna Rizqi
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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Journal : Jurnal Kajian Ilmiah

 1 
Automated Essay Scoring menggunakan Cosine Similarity pada Penilaian Esai Multi Soal Alfirna Lahitani
Jurnal Kajian Ilmiah Vol. 22 No. 2 (2022): Mei 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.826 KB) | DOI: 10.31599/jki.v22i2.1121

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.
Co-Authors Adlia Nur Zhafarina Alfun Roehatul Jannah Arief Ikhwan Wicaksono Chanief Budi Setiawan Meidiyanto Heri Pratama Nafisa Alfi Sa'diya Nanang Widayanto Nanda Saputri Windi Oktavia Netania Indi Kusumaningtyas Nita Jariyah Riyanto Tri Kurniawan Taufaldisatya Wijatama Diwangkara Ulfi Saidata Aesyi Uning Kristiana