Instal : Jurnal Komputer
Vol 17 No 07 (2025): Instal : Jurnal Komputer

PREDICTIVE ANALYSIS OF TOURIST ARRIVALS IN NORTH SUMATRA USING THE RANDOM FOREST ALGORITHM

Br. Pasaribu, Agustina Kristin (Unknown)
Arie Rafika Dewi (Unknown)

Article Info

Publish Date
30 Aug 2025

Abstract

This study aims to develop an accurate predictive model for forecasting the number of international tourist arrivals to North Sumatra Province using the Random Forest algorithm. The data used is sourced from Open Data Sumut and includes historical data on tourist arrivals in previous years. Using the Random Forest Regressor, this model demonstrates high accuracy, with an R-Squared (R²) value of 56,06% and a low Mean Squared Error (MSE) of 36.087.182,23. The results of this study show that the year feature is more dominant in predicting tourist numbers compared to the month feature, indicating that annual trends have a greater influence on tourist arrival patterns than seasonal factors. The predicted number of tourists for July 2025 is 17.597,73

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Journal Info
Instal : Jurnal Komputer
Website

Abbrev

Instal

Publisher

Cattleya Darmaya Fortuna

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Focus And Scope Instal : Jurnal Komputer is a peer-reviewed scientific journal published by CV. Cattleya Darmaya Fortuna which has been published since 2009. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of ...