Open AccessJARINGAN SYARAF TIRUAN MENGGUNAKAN ALGORITMA BACKPROPAGATION UNTUK MEMPREDIKSI PRESTASI SISWA
Author(s) -
Fatmi Zola
Publication year - 2018
Publication title -
jurnal teknologi dan open source
Language(s) - English
Resource type - Journals
eISSN - 2655-7592
pISSN - 2622-1659
DOI - 10.36378/jtos.v1i1.12
Subject(s) - backpropagation , artificial neural network , vocational education , computer science , matlab , student achievement , test data , field (mathematics) , software , artificial intelligence , mathematics education , machine learning , simulation , academic achievement , mathematics , software engineering , psychology , pedagogy , operating system , pure mathematics
Vocational High School Negeri 1 Bunga Raya (SMK N 1 Bunga Raya) is a vocational school in the field of Multi Competency. Currently there are 265 students with 5 majors (field) including Computer Network Engineering (TKJ), Motorcycle Engineering (TSM), Accounting, Agricultural Processing Technique (TPHP), Plantation Agribusiness (ATP) .To improve student achievement, then schools provide scholarships in the form of academic achievement scholarships. Artificial Neural Network System using Backpropagation method applied in this research to predict student achievement, and expected to help solve the problem of giving scholarship to student achievement. Implemented using Matlab as a supportive software. With the value of School examination as training data and testing. The result of testing with architectural pattern 4-2-1, the data into two parts that is 20 training data with percentage error 95,6%. And 20 test data with 100% error percentage. The smaller the level of accuracy error used will be the smaller deviation results Artificial Neural Network with the desired target.