Automatic Essay Scoring using Rubric Similarity Analysis for Bahasa Indonesia
Muhamad Mustamiin (a*), Darsih(a), Munengsih Sari Bunga (a), Farikhin(b)

a) Jurusan Teknik Informatika, Polinteknik Negeri Indramayu
Jl. Raya Lohbener Lama No. 08, Indramayu, Jawa Barat 45252
*mustamiin[at]polindra.ac.id
b) Fakultas Matematika, Universitas Diponegoro
Jl. Prof. Sudarto No.13, Tembalang, Kota Semarang, Jawa Tengah 50275

Abstract

Information technology has been developed well in education sector. One of important research is automated essay scoring. Essay Scoring has some challenges such as subjectivity and time consuming for doing assessment. There are many research that have been conducted, such as Latent Sematic Analysis, Probabilistic Latent Semantic Analysis, etc. However, some research were not consider some criteria to grade the student essays. To overcome that problem, this paper propose essay scoring based on rubric which consider the similarity between its contens and more than one answer key. Experimental results show that our system outperforms the existing system.

Keywords: automatic essay scoring- e-learning- latent semantic analysis- information retrieval- question answering

Topic: Computer and Mathematics