Techno Nusa Mandiri : Journal of Computing and Information Technology
Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma

ANALISIS NEURAL NETWORK STRUKTUR BACKPROPAGATION SEBAGAI METODE PERAMALAN PADA PERHITUNGAN TINGKAT KEMISKINAN DI INDONESIA

Astriana Mulyani (Teknik Informatika STMIK Nusa Mandiri)



Article Info

Publish Date
15 Mar 2016

Abstract

Poverty is a condition in which people lack ability in traditionally devoted their primary. (Boa,2008) defines "Structural poverty is poverty, suspected uncaused structure from the condition of structures, or unfavorable life order". The expected amount of poverty can be reduced. In order to reduce the number of poverty to be known beforehand what factors are the cause of the poverty level is high or low. With the Backpropagation Neural Network structures for forecasting the calculation of the poverty level in Indonesia. Based on the analysis carried out apparently backpropagation neural network method yields more accurate in forecasting the calculation of the poverty level in Indonesia because these methods do training repeatedly to get the best models and can also be analyzed mathematically.

Copyrights © 2016






Journal Info

Abbrev

techno

Publisher

Subject

Computer Science & IT

Description

Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik ...