Jurnal Sistem Informasi
Vol 1 No 1 (2020): JUSIN

Implementasi Algoritma Backpropagation Untuk Memprediksi Harga Jual Rumah Berdasarkan Harga Bahan Baku

Silvia Ningsih (ITB Ahmad Dahlan Jakarta)
Vany Terisia (ITB Ahmad Dahlan Jakarta)

Article Info

Publish Date
26 Oct 2020

Abstract

Housing developers often find it difficult to determine the selling price of the house. One of the main factors to determine the selling price of the house. One of the main factors to determine the selling price of the homes is information regarding the use of raw material prices. Companies need information in prices of row material price fluctuations, air, causing the company is difficult to predict the selling price of the house next period. Forecasting methods used in this system is backpropagation neural network method that refers to a component of time series data forecasting random or random variance with the initial process for determining autocorrelation input variables. This propagation method is proven to predict the selling price of the house.

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Journal Info
Jurnal Sistem Informasi
Website

Abbrev

JUSIN

Publisher

Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Content-Based Multimedia Retrieval, Cultural Heritage Applications, Data Mining, Distance Learning, E-Business/E-commerce, E-Government, E-Health, Enterprise Architecture Design & Management, Geographic Information System (GIS), Human-Computer Interaction, Information Assurance & Intelligent, ...