Jaringan Saraf Tiruan Untuk Memprediksi Tingkat Pemahaman Sisiwa Terhadap Matapelajaran Dengan Menggunakan Algoritma Backpropagation
Abstract: Prediction of
students 'understanding of the subject is important to know the extent to which
the students' understanding of the subjects presented by educators when
teaching and learning activities and to determine the ability of educators in
delivering subjects. Artificial Neural Network to predict the level of
students' understanding of subjects using backpropagation learning algorithm
uses several variables: Knowledge, skills / abilities, assessment and workload
and guidance and counseling. Backpropagation learning algorithm is applied to
train eight indicators to predict the level of students' understanding of the
subjects. The test results obtained by the student's understanding level
prediction accuracy rate of 90% with a 6-5-1 architecture.
Penulis: Solikhun, M. Safii,
Agus Trisno
Kode Jurnal: jptinformatikadd170401
