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 . 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 . 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.