Jurnal Computer Science and Information Technology (CoSciTech)
Vol 2 No 2 (2021): Jurnal Computer Science and Information Technology (CoSciTech)

Peramalan Kedatangan Wisatawan Mancanegara Ke Indonesia Menurut Kebangsaan Perbulannya Menggunakan Metode Multilayer Perceptron

Harun Mukhtar (Unknown)
Muhammad Rifaldo (Universitas Muhammadiyah Riau)
Reny Medikawati Taufiq (Unknown)
Yoze Rizki (Universitas Muhammadiyah Riau)



Article Info

Publish Date
19 Dec 2021

Abstract

The beauty of tourist attractions in Indonesia has a certain attraction for foreign tourists to serve as a place for vacation. However, the number of visitors needs to be predicted to anticipate an increase or decrease in the number of visitors, so that the state can determine policies regarding changes in the number of visitors in the future. Forecasting is used to predict previous data patterns so that further data patterns can be known. Multilayer Perceptron (MLP) is a neural network development that can be used for modeling time series data. Several researchers have conducted research using the Multilayer Perceptron method in making predictions. Forecasting systems or forecasting are very helpful in the current era, forecasting aims to predict future conditions. Prediction results, obtained 82% accuracy for tourist predictions in Period 7, namely September 2020, 97% for Prediction Period 8, namely December 2020 so that the Number of Tourists for Period 9 is 7,106 people.

Copyrights © 2021






Journal Info

Abbrev

coscitech

Publisher

Subject

Computer Science & IT

Description

Jurnal CoSciTech (Computer Science and Information Technology) merupakan jurnal peer-review yang diterbitkan oleh Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Univeritas Muhammadiyah Riau (UMRI) sejak April tahun 2020. Jurnal CoSciTech terdaftar pada PDII LIPI dengan Nomor ISSN ...