Jurnal Abdi Ilmu
Vol 14 No 1 (2021): Jurnal Abdi Ilmu

JARINGAN SYARAF TIRUAN DENGAN ALGORITMA BACKPROPAGATION UNTUK MEMPREDIKSI NILAI UJIAN KOMPETENSI SISWA (STUDI KASUS SMKS JABAL RAHMAH STABAT)

Kiki Sri Handayani (STMIK Kaputama Binjai)
Katen Lumbanbatu (STMIK Kaputama Binjai)
Magdalena Simanjuntak (STMIK Kaputama Binjai)

Article Info

Publish Date
26 Sep 2021

Abstract

Competency testing is a process of assessment (assessment) both technical and non-technical through the collection of relevant evidence to determine whether a person is competent or not yet competent in a certain competency unit or job qualification. The implementation of the series of "tests" is basically to determine the level of knowledge, skills and personality of students. To find out the passing standards of student competence in facing exams, a method is needed to process the old student grade data to predict the value of students who will take the national exam, namely by using the artificial neural network method with Backpropagation, the results obtained are 0.55178871 with the number of squared errors. 0.004595309, then the result has reached the target, then the iteration stops.

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Journal Info
Jurnal Abdi Ilmu
Website

Abbrev

abdiilmu

Publisher

Universitas Pembangunan Panca Budi Medan

Subject

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Education Engineering Other

Description

Jurnal Abdi Ilmu adalah media publikasi Kajian Konseptual dan praktis berupa Telaah Teoretis maupun hasil-hasil penelitian empiris yang membahas diberbagai bidang disiplin ilmu. Redaksi mengundang para akademisi, peneliti dan praktisi dari berbagai bidang disiplin ilmu untuk mengirimkan naskah yang ...