JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Vol 3 No 3 (2022): April 2022

Prediksi Pelaku Perjalanan Luar Negeri Di Masa Pandemi COVID-19 Menggunakan Metode Regresi Linier Sederhana

Dewi Rahmawati (Institut Teknologi Telkom Surabaya, Surabaya)
Titus Kristanto (Institut Teknologi Telkom Surabaya, Surabaya)
Brian Freega Setya Pratama (Institut Teknologi Telkom Surabaya, Surabaya)
Daninsyah Bagas Abiansa (Institut Teknologi Telkom Surabaya, Surabaya)



Article Info

Publish Date
30 Apr 2022

Abstract

Indonesia is a country that has natural beauty and cultural diversity, making tourists from abroad visit Indonesia. The purpose of tourists coming to Indonesia is to travel with their families. Over time, tourists or foreign travellers have decreased, due to the COVID-19 outbreak in Indonesia that has not ended. As a result of the COVID-19 outbreak, several airports and ports were temporarily closed to avoid the development of an increasingly virulent COVID-19. The purpose of the study was to determine the prediction of the number of arrivals of foreign travelers using the linear regression method. The simple linear regression method is a method consisting of one or more ordinary independent variables with the notation X and one dependent variable represented by the notation Y. The independent variable is the number of foreign travelers to Indonesia as notation X and the dependent variable is the number of COVID-19 cases in Indonesia. Indonesia as Y notation.

Copyrights © 2022






Journal Info

Abbrev

josh

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal ...