Jurnal Informatika Ekonomi Bisnis
Vol. 2, No. 4 (2020)

Prediksi Tingkat Kedatangan Wisatawan Asing Menggunakan Metode Backpropagation

Salman Alfarisi Salimu (Universitas Putra Indonesia YPTK Padang)
Yuhandri Yunus (Universitas Putra Indonesia YPTK Padang)



Article Info

Publish Date
31 Dec 2020

Abstract

The tourism industry is always growing and plays an important role in the national economy, both as the second largest contributor to foreign exchange and as a large labor absorber. This study aims to optimize production using the Artificial Neural Network (ANN) method. The technique used is Backpropagation. The data processed is data on the number of foreign tourists from 2017 to 2019 in the Mentawai Islands. The results of the momentum obtained are 2-5-1 on the division of data into 2, namely training data for 2017 and 2018 and test data for 2019. The optimal prediction result is 0.99847, so this research is very helpful in predicting the arrival rate of foreign tourists in Mentawai Islands.

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Journal Info

Abbrev

infeb

Publisher

Subject

Economics, Econometrics & Finance

Description

Jurnal Informatika Ekonomi Bisnis adalah Jurnal Nasional, yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang Informatika Ekonomi dan Bisnis, namun tak terbatas secara implisit. Jurnal Informatika Ekonomi Bisnis menerbitkan artikel secara berkala 4 (empat) kali setahun ...