Indonesian Automated Essay Scoring with Bag of Word and Support Vector Regression

Authors

  • Naufal Azmi Verdikha Universitas Muhammadiyah Kalimantan Timur
  • Junianda Haris Dwiagam Universitas Muhammadiyah Kalimantan Timur
  • Rofilde Hasudungan Universitas Muhammadiyah Kalimantan Timur

DOI:

https://doi.org/10.30650/jse.v1i2.3841

Keywords:

Automated Essay Scoring, Bag of Word, Support Vector Regression

Abstract

Essay is one of the test questions to measure students' understanding of learning. Respondents can organize the answers to each question in their own language style, so it takes time to make corrections. It takes a system that can assess essay answers automatically quickly and accurately. Auto Essay Scoring (AES) is a tool that can assign grades or scores to answers in the form of essays automatically. In giving grades automatically, AES requires machine learning with training data that contains answer data that has been given a value by the assessor. In this study, AES was used to assess the Indonesian language midterm exams using the Bag of Word extraction feature and using Support Vector Regression. The Root Mean Square Error value obtained when evaluating AES is 1.99.

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Published

2024-01-31

How to Cite

Verdikha, Naufal Azmi, Junianda Haris Dwiagam, and Rofilde Hasudungan. 2024. “Indonesian Automated Essay Scoring With Bag of Word and Support Vector Regression”. JSE Journal of Science and Engineering 1 (2):95-100. https://doi.org/10.30650/jse.v1i2.3841.

Issue

Section

Informatics and Information Technology