Skripsi

ANALISIS DERET WAKTU DENGAN METODE MAXIMAL OVERLAP DISCRETE WAVELET TRANSFORM (MODWT)-ARIMA MENGGUNAKAN FILTER DAUBECHIES PADA DATA INFLASI INDONESIA

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Penilaian

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Inflation was a continuous increase in both the price of goods and services in general within a certain period of time. This research aim is to find forecasting model for inflation in Indonesia. The best model is needed to analyze future inflation so that people can make careful planning for each business activity. Indonesian inflation was analyzed by using a combination of Maximal Overlap Discrete Wavelet Transform (MODWT) method and Autoregressive Integrated Moving Average (ARIMA) model with a Daubechies filter of size 4. The data used in this study was monthly Indonesian inflation from January 2003 to October 2022. The data was procecessed by transforming it with MODWT, so the results are 5 signals, i.e 4 wavelet signals and 1 smooth signal. Then, that signals are modeled by ARIMA which produced a MAPE value of 50.39%, so it concluded that the forecasting model used is not good enough.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407003743	T146144	T1461442024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1461442024

Publisher

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

Collation

xii, 38 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)

Peramalan
Prodi Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

KA

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