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Poverty and mobility limitations are among the main factors that hinder people from regular dental visits. Hence, many people, especially from remote areas, did not get the required education on proper dental hygiene and early detection and treatment for dental disease. Pulpitis is one of the frequent dental diseases. A free online diagnosis of Pulpitis would be helpful to users who are having difficulties visiting a dentist. However, the challenge in developing an online advisor or expert system is to create a high accuracy prediction model. One method proven effective in building the required classification model is an Artificial Neural Network (ANN). In this research, we developed the Pulpitis disease prediction model using the LVQ3 algorithm. This developed model can classify five classes of Pulpitis diseases based on 13 symptoms. In addition, we also conducted experimental testing with eight learning rates, eight …