Paradigma
Vol 17, No 1 (2015): Periode Maret

PENERAPAN METODE NEURAL NETWORK BERBASIS PARTICLE SWAM OPTIMIZIED UNTUK PREDIKSI KESUBURAN PADA PRIA

HILDA AMALIA (Program Studi Manajemen Informatika AMIK BSI Jakarta)



Article Info

Publish Date
07 Sep 2016

Abstract

The fertility rate is to be considered, especially for adult men is because infertility is a global problem that occurs in couples. Infertility can result in couples unable to conceive. Infertility in one partner may terminate especially male lineage. Its high level of infertility in today's society can be caused by several things between environmental factors and lifestyle of today's society. Previous research on fertility has been done is by using artificial neural network and produce 82% accuracy. In this paper will be improving the accuracy of neural network method for predicting male fertility through semen using particle swam optimazed (PSO). The survey results revealed that the use of the optimization method can improve the accuracy of the method used in this study was obtained accuracy of new methods for neural network improved its performance using PSO to 92%.

Copyrights © 2015






Journal Info

Abbrev

paradigma

Publisher

Subject

Computer Science & IT

Description

The first Paradigma Journal was published in 2006, with the registration of the ISSN from LIPI Indonesia. The Paradigma Journal is intended as a media for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems and Information Technology, both ...