Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Mala Nurhidayati
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Algoritme Genetika dan Analytical Hierarchy Process untuk Penerimaan Siswa Baru pada Sekolah Menengah Kejuruan Mala Nurhidayati; Dian Eka Ratnawati; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.148 KB)

Abstract

Vocational high schools aim to produce qualified graduates in their expertise and skills in each majors. In the process of getting qualified graduates, it takes an initial step, namely selecting new students. The selection process is carried out by considering the value of the Indonesian National Examination, the value of the English National Examination, the value of the National Mathematics Examination, and the National Examination Science score. The methods used to solving this problem are Analytical Hierarchy Process (AHP) and Genetic Algorithms. Individuals in the Genetic Algorithm method are 6 genes. In the initial individuals formed the reproduction process namely crossover and mutation. The last process in this reasearch is the calculation of fitness value. This process resolved by calculating the results of accuracy. The results of the fitness value obtained the largest to the smallest fitness value. From research conducted the output is passing or not passing from prospective students in a predetermined majors. The average accuracy of the combination of the AHP method and the genetic algorithm is 86.85% and the accuracy is obtained using the AHP method is only 76.52%. Based on these results it can be concluded that the merger of AHP methods and genetic algorithms can solve the problem of new student admission at vocational high schools.
Co-Authors Dian Eka Ratnawati Yuita Arum Sari