CD Skripsi

Model Hybrid Singular Spectrum Analysis Dan Neural Network Untuk Peramalan Kenaikan Nilai Inflasi Di Indonesia

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Current economic developments cause increasing inflation rates in a country. One of the statistical methods used to determine the increase in inflation values is forecasting using a non-parametric time series model. This research was carried out using Singular Spectrum Analysis and Neural Network as a non-parametric forecasting method with monthly data on inflation values in Indonesia from January 2003 - December 2022. This analysis was carried out by forming a square matrix from the research data so that eigenvalues and eigenvectors were obtained in each matrix. as many as 50. In the calculations, the forecast results obtained for the next 5 month period show insignificant increases and decreases. Based on the accuracy results, an error was obtained using MAPE with forecasting results for the inflation value of 9%, which can be said to be in the very good category.

Keywords: Inflation, time series, Singular Spectrum Analysis and Neural Network

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903156359

Penerbit

Pekanbaru : Universitas Riau – FMIPA - Statistik., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903156359

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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