Analisa JST Untuk Memprediksi Pembuatan SIM Menggunakan Metode Algoritma Backpropagation

Authors

DOI:

https://doi.org/10.30865/mib.v4i1.1742

Keywords:

Artificial Neural Networks, Prediction, Backpropagation, Matlab

Abstract

In a service company there are customers who become consumers of the company. Customer satisfaction is formed from the level of performance and company loyalty. If the company does not know about the level of customer satisfaction, the company also cannot develop their services. So from that Pematangsiantar Police Satpas need to know the level of customer satisfaction in order to improve their performance and loyalty. So research is needed to determine the level of customer satisfaction through the Artificial Neural Network method with the backpropagation algorithm which is then predicted and the best results will be searched to be used to give the best results and will display the results of the problems encountered.

Author Biographies

Mirza Rahul, STIKOM Tunas Bangsa, Pematangsiantar

Program Studi Teknik Informatika

Indra Gunawan, STIKOM Tunas Bangsa, Pematangsiantar

Program Studi Teknik Informatika

Fitri Anggraini, STIKOM Tunas Bangsa, Pematangsiantar

Program Studi Teknik Informatika

Sumarno Sumarno, STIKOM Tunas Bangsa, Pematangsiantar

Program Studi Teknik Informatika

Ika Okta Kirana, STIKOM Tunas Bangsa, Pematangsiantar

Program Studi Teknik Informatika

References

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Wanto, A. and Windarto, A. P. (2017) ‘Analisis Prediksi Indeks Harga Konsumen Berdasarkan Kelompok Kesehatan Dengan Menggunakan Metode Backpropagation’, Jurnal & Penelitian Teknik Informatika Sinkron, 2(2), pp. 37–43. Available at:

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Published

2020-01-29

Issue

Vol. 4 No. 1 (2020): Januari 2020

Section

Articles

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