PENERAPAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK EVALUASI NILAI UJIAN NASIONAL CALON SISWA BARU SMK (STUDI KASUS SMK NEGERI 2 KOTA TANGERANG SELATAN)
ABSTRACT: Utilization of
evaluation of the national exam will determine acceptance of prospective new students
of vocational schools, up to now still be a way to select prospective students
who want to continue to the school they want. Vocational high school students
to select candidates with the four subjects
ie subjects Indonesian,
English, Mathematics, and
Science.
Processing value for new students enrollment was performed using
Microsoft Excel software to
determine the value
of the combined
test, while the
means for processing
each subject multiplied with each
of the different weights. Based on the research journal and found methods of Adaptive
Neuro Fuzzy Inference
System to improve
the accuracy.
Tests using Adaptive Neuro Fuzzy Inference System which has a membership
function such as, triangular, trapezoidal, bell, and gauss. For the calculation
combined with applications using MATLAB. Pengujiaan four functions of the
existing membership so that it is concluded how big the membership function
keakurasiaan Adaptive Neuro Fuzzy Inference System compared with microsoft
excel processing.
Penulis: ALVINO OCTAVIANO
Kode Jurnal: jptinformatikadd140006
