Open AccessPREDIKSI KELULUSAN MAHASISWA DENGAN JARINGAN SYARAF TIRUAN
Author(s) -
Rudy Ansari
Publication year - 2016
Publication title -
jtiulm (jurnal teknologi informasi universitas lambung mangkurat)
Language(s) - English
Resource type - Journals
eISSN - 2528-2514
pISSN - 2527-5399
DOI - 10.20527/jtiulm.v1i1.4
Subject(s) - graduation (instrument) , benchmark (surveying) , computer science , sample (material) , class (philosophy) , machine learning , artificial intelligence , engineering , geography , cartography , mechanical engineering , chemistry , chromatography
Graduation became a benchmark in the policy making college management. Can estimate the graduation students annually is needed to be known by the university. Moreover, this paper attempts to apply neural network algorithms in predicting graduation, the selected method to be used is the method of propagation. This method is widely used in the researchers predict a problem. The sample data in the application of this algorithm is data the students began class of 2010 up to 2013. With the third generation output is passed late, fast and timely. From the results of the learning algorithm used obtained good accuracy results with the architecture of the pattern formed is 12-9-3.