Indonesia Conference Directory

Academic loads in writing a thesis cause students difficulties to complete studies. This problem can be solved with the application of an expert system with early detection of depressive end-level students that compares several methods such as the Certainty Factor method and the Dempster-Shafer method. Certainty Factor method is to measure certainty of facts or rules in defining the level of expert confidence, while the Dempster-Shafer method combines uncertainty that has characteristics according to the way of thinking of experts but has a mathematical basis. Comparison of these methods is to get the most appropriate and best method for early detection of depression. The methodology used in this study is a comparative test of two methods, with a mechanism starting from (1) Gathering data related to the depression of final year students; (2) Data acquisition and weighting of confidence values; (3) Calculate formulations from both methods; (4) Perform a comparative test to obtain conclusions. The result shows that two examples of cases with different symptoms as input data, the probability value of the two sample cases resulted in the Certainty Factor method having the highest probability value compared to the Dempster-Shafer method. Certainty Factor method obtains the highest value which means this method is the most appropriate and the best model in early detection of depression. The Certainty Factor method will be implemented in building an expert system for early detection of depression to assist students in drawing conclusions of the initial diagnosis before conducting an intensive psychological examination.