Web Based Automated Essay Grading System using Latent Semantic Analysis method for Indonesian Language

Anak Agung Putri Ratna, Nahar Adi Gunawan, W. Adhe, Natalia Evianti, Bagio Budiardjo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Grading system is a mechanism used to determine student's ability of the given material of the studying process. Essay is one form of grading, where there are no choices of answer, and student must answer in sentence. Essay answers may vary greatly between each exam participant, depending on their own thought. Methods used in automated essay grading system nowadays are still under research because they need to follow some specific rules. Some of the methods are Natural Language Processing, Statistical Approach, Bayesian Text Classification, and Latent Semantic Analysis [1]. One of the grading methods, i.e. Latent Semantic Analysis (LSA), which uses matrix algebra to compare between expected answer and student's essay answer [2]. In this paper, we are using the LSA technique for Web Based Automated Essay Grading for Indonesian Language (Bahasa) and prove that we achieve 83 % for the agreement with Human Raters.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2005
EditorsM.H. Hamza
Pages163-166
Number of pages4
Publication statusPublished - 1 Dec 2005
Event9th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2005 - Honolulu, HI, United States
Duration: 15 Aug 200617 Aug 2006

Publication series

NameProceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA

Conference

Conference9th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2005
CountryUnited States
CityHonolulu, HI
Period15/08/0617/08/06

Keywords

  • Agreement with human raters
  • Automated essay grading system
  • LSA
  • On-line examination
  • Singular value decomposition

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