Skripsi

IMPLEMENTASI MODEL VARIMA UNTUK MERAMALKAN TINGKAT PENGHUNIAN KAMAR HOTEL DI PROVINSI SUMATERA SELATAN

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Penilaian

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Forecasting is a crucial method for predicting future values, particularly when dealing with multiple variables. The Vector Autoregressive Integrated Moving Average (VARIMA) model proves effective in forecasting data involving more than one variable. This study focuses on analyzing the Room Occupancy Rate percentage, which exhibits significant annual fluctuations, especially in the context of South Sumatra Province's hotel industry. These fluctuations can profoundly impact business planning and hotel management. The study aims to identify the best model for forecasting the Room Occupancy Rate in both starred and non-starred hotels in South Sumatra Province. The methodology employed involves utilizing the VARIMA model with Time Series data spanning from January 2017 to September 2023. The analytical process includes data description and movement analysis through Time Series plots, stationary tests, model order identification, selection of the best model based on the smallest Akaike’s Information Criterion value, parameter estimation, residual diagnostic tests, model validation, and forecasting. The results obtained the best model VARIMA (2,1,0). The accuracy of the model is very good based on the Mean Absolute Percentage Error (MAPE) value, that is for the Room Occupancy Rate of star hotels of 8.216% and the Room Occupancy Rate of non-star hotels of 3.989%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407002261	T142804	T1428042024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1428042024

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024

Collation

xiv, 77 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Ilmu Matematika
Tingkat Penghunian Kamar

Specific Detail Info

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Statement of Responsibility

KA

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