Metode Jaringan Syaraf Tiruan Backpropagation untuk Mengukur Tingkat Korelasi Prestasi Mahasiswa ( Studi Kasus Pada Universitas Dian Nuswantoro Semarang )

PANGASTUTI, PUJI (2014) Metode Jaringan Syaraf Tiruan Backpropagation untuk Mengukur Tingkat Korelasi Prestasi Mahasiswa ( Studi Kasus Pada Universitas Dian Nuswantoro Semarang ). Skripsi, Fakultas Ilmu Komputer.

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Abstract

The university now increasingly compete in producing quality graduates. GPA of students who become the final determination of student achievement has its own weights to see how much the students in the field of academic ability. But in the end the value of new admissions of students has always been a key requirement in the selection. Correlation student achievement itself needs to be revisited by the students see the weight value which becomes the main conditions for acceptance. This study analyzed to determine the level of student achievement correlation with final grades of students and prospective students of diverse ages as a reference variable of research using backpropagation neural network method. This study uses data incoming freshmen year 2008/2009 Dian Nuswantoro University of Semarang, the data of students who have completed studies at the same university in the year 2012-2013, and the final value of the data obtained from the Department of Education. Backpropagation algorithm aided in his training with gradient decent method shows that the test data to determine the level of student achievement correlation only has a success rate of 61%. This could be a recommendation specifically for Dian Nuswantoro University Semarang can review the student to use the final value and age as one of the new admissions requirements.

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