Open AccessJaringan Syaraf Tiruan dalam Memprediksi Jumlah Pelanggan PT.Telkom Akses Area Sumbagut Menggunakan Metode Backpropagation
Author(s) -
Reza Muhammad Riansah,
Rahmat Widia Sembiring,
Zulaini Masruro
Publication year - 2019
Publication title -
prosiding seminar nasional riset information science (senaris)
Language(s) - English
Resource type - Journals
ISSN - 2686-0260
DOI - 10.30645/senaris.v1i0.87
Subject(s) - backpropagation , artificial neural network , service (business) , computer science , access method , business , artificial intelligence , database , marketing
The number of customers of a service company greatly affects the development and progress of the company. Likewise with the number of customers of PT. Telkom Access (PTTA) Sumbagut Area which has an increase in the number of customers every year. In this study, the author will make predictions aimed at knowing the number of customers at PT. Telkom Access (PTTA) Sumbagut Area using the backpropagation method. Backpropagation is one method of artificial neural networks that mimics the workings of human nerves. Research uses data obtained from the database of PT. Telkom Access Pematangsiantar. This study produced the best architectural model, namely 3-14-1 which will be used to predict the number of customers of PT. Telkom Access (PTTA) Sumbagut Area with 85% accuracy.