Open AccessAutomated Bahasa Indonesia essay evaluation with latent semantic analysis
Author(s) -
Amalia Amalia,
Dani Gunawan,
Yohana Fithri,
Indra Aulia
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1235/1/012100
Subject(s) - computer science , latent semantic analysis , lexical analysis , relevance (law) , key (lock) , process (computing) , test (biology) , interface (matter) , natural language processing , lemmatisation , negation , artificial intelligence , information retrieval , programming language , paleontology , computer security , bubble , maximum bubble pressure method , parallel computing , political science , law , biology
Essay Examination is one of many ways to evaluate the learning process of students. The Essay test can measure a student’s capability of memory and to develop an idea. With the vast development of Information Technology, an essay test is done in a more sophisticated way with a platform called e-learning. This research implemented an e-learning interface to conduct an essay test, starting with giving out questions, answering it and marking it. The system will generate an automatic mark, using the Latent Semantic Analysis (LSA) method by measuring the relevance of the key answer and the student’s answer. Before entering the LSA phase, the answer will go through pre-processing step which is cleansing, case folding, tokenization, stop word, convert negation and stemming. The result of the accuracy of this system compared to teacher’s manual assessment is 83.3%. Expectedly, this research will help teachers in making their assessment process more efficient.