JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Prediksi Jumlah Kunjungan Wisatawan Asing Menggunakan Algoritma Linier Regresi Multivariet

Muis Nanja (Unknown)



Article Info

Publish Date
13 Dec 2021

Abstract

Tourism is one component that participates in the Regional Revenue Budget (APBD).[1] An increase or decrease in the number of foreign tourist visits certainly has a certain effect on Gorontalo tourism, an increase in the number of visitors certainly has a positive impact on the Gorontalo government, especially in the field of tourism. The fluctuating number of foreign tourist visits has become a separate problem for the tourism office or government due to the difficulty of estimating the number of visits in the future. Seeing the phenomenon of instability (fluctuating) the number of foreign tourist visits has become the main ingredient for researchers to analyze the pattern of foreign tourist visits to predict or estimate the number of visits by using the Multiple Linear Regression Algorithm (Multivariet) based on Forward selection, so that the government or tourism office can anticipate based on the prediction results that have been obtained. Based on the results of the method test, the Root Mean Square Error (RMSE) value was obtained, namely, Multivariet Regression 2660.89, Forward Selection Multivariet Regression 556.49, Backward Selection Multivariet Regression 2377.44. So it can be concluded that the best method used to make predictions is Multifariet Forward Selection Regression.

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Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...