ANALISIS NEURAL NETWORK STRUKTUR BACKPROPAGATION SEBAGAI METODE PERAMALAN PADA PERHITUNGAN TINGKAT KEMISKINAN DI INDONESIA
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.
References
Boa, Handayani.2008. Analisis Model Kemiskinan Perdesaan di Indonesia. EEP Vol 5 no 1. 27 Februari 2013.
Fuad FM.2011. Prediksi Ketersediaan Beras di Masyarakat dengan Menggunakan Logika Fuzzy dan Jaringan Syaraf Tiruan dalam Upaya Peningkatan Ketahanan Pangan. AGROINTEK Volume 5, No.1 Maret 2005.
Kusrini,&Luthfi, E. T.2009.Algoritma Data Mining. Yogyakarta: Andi Publishing.
Kusumadewi, Sri dan Purnomo, Hari.2010. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.
Rohmatullah dan Marimin.2007. Logika Fuzzy dan Jaringan Syaraf Tiruan untuk Peningkatan Mutu The Hitam. Jurnal Teknologi dan Industri Pangan, Vol. XVIII No.2 tahun 2007.
Septiani, Winnie dan Marimin. 2005. Sistem Intelijen Prediksi dan Penilaian Kualitas Susu Pasteurisasi dengan menggunakan Logika Fuzzy dan Jaringan Syaraf Tiruan. Yogyakarta: Seminar Nasional Aplikasi Teknologi Informasi 2005, Juni 2005.
Sumathi, S., Sivanandam, S.N. 2006. Introduction to Data Mining and its Applications. Berlin Heidelberg New York: Springer
Vercellis, Carlo (2009). Business Intelligent: Data Mining and Optimization for Decision Making. Southern Gate, Chichester, West Sussex: John Willey & Sons, Ltd.
The copyright of any article in the TECHNO Nusa Mandiri Journal is fully held by the author under the Creative Commons CC BY-NC license.
- The copyright in each article belongs to the author.
- Authors retain all their rights to published works, not limited to the rights set out on this page.
- The author acknowledges that Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) is the first to publish with a Creative Commons Attribution 4.0 International license (CC BY-NC).
- Authors can enter articles separately, manage non-exclusive distribution, from manuscripts that have been published in this journal into another version (for example: sent to author affiliation respository, publication into books, etc.), by acknowledging that the manuscript was published for the first time in Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri);
- The author guarantees that the original article, written by the stated author, has never been published before, does not contain any statements that violate the law, does not violate the rights of others, is subject to the copyright which is exclusively held by the author.
- If an article was prepared jointly by more than one author, each author submitting the manuscript warrants that he has been authorized by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agrees to notify the co-authors of the terms of this policy. Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) will not be held responsible for anything that may have occurred due to the author's internal disputes.
.png){kind=logo}
