<![CDATA[The field of excellence of students is a skill that can be possessed by students after completing their college years, especially for students of Informatics Engineering at Brawijaya University. To uncover this potential for excellence, there is a learning system that focuses on students taking certain elective courses that are still close in terms of the study materials suitable for their interests and abilities. The goal is to make Informatics Engineering students have the desired graduate profile. The large number of choices for fields of excellence makes students confused about determining the appropriate field of excellence. To help students determine this field of excellence, the author chose to use the Backpropagation Classification Method and the Information Gain Feature Selection. Testing was conducted a total of 5 times, and then averaged. The testing used begins with K-Fold Cross Validation to test the stability of the dataset, by dividing the data into 5 random Folds and then finding the Fold with the best evaluation value. Subsequently, testing is carried out on the Learning Rate and Hidden Neuron parameters, with the final test being feature selection. The best testing parameters are a learning rate of 0.1, 20 hidden neurons, and 100% features without any features being removed. The results of the testing obtained are an average accuracy of 86.34%, precision of 87.95%, recall of 86.69%, and f-measure of 87.12%. The results obtained show that the Backpropagation Method can be used to classify the field of excellence of Informatics Engineering students, but the use of the Information Gain feature selection does not provide an improvement in the evaluation value obtained.]]>
Copyrights © 2023
