SISTEM PENUNJANG KEPUTUSAN DIAGNOSA PENYAKIT ASAM LAMBUNG (GERD) DENGAN NAIVE BAYES CLASSIFIER

Michael Lee

Abstract


The purpose of making a diagnosis decision support system stomach acid (GERD) is to facilitate the user's decision-making a diagnosis of GERD. The method used by decision support systems GERD diagnosis of the disease is using Naive Bayes classifier. Naive Bayes classifier is a simple probabilistic classification which calculates a set of probabilities by summing the frequency and the combined value of the data provided. Programming language used in decision support systems GERD disease diagnosis using Hypertext Prepocessor programming languages (PHP), phpMyAdmin for the database, Dreamweaver CS6 software as HTML and CSS to design the look of the application program and XAMPP as server localhost. Decision support systems GERD disease diagnosis has two modules, namely: admin module and user module.

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