MODEL HYBRID SINGULAR SPECTRUM ANALYSIS DAN NEURAL NETWORK UNTUK PERAMALAN KENAIKAN NILAI INFLASI DI INDONESIA
| dc.contributor.author | Dwifattah, Muhammad Rizki | |
| dc.contributor.author | Bustami | |
| dc.date.accessioned | 2024-08-26T07:47:13Z | |
| dc.date.available | 2024-08-26T07:47:13Z | |
| dc.date.issued | 2023-12 | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau | |
| dc.identifier.citation | Perpustakaan | |
| dc.identifier.other | Elfitra | |
| dc.identifier.uri | https://repository.unri.ac.id/handle/123456789/11415 | |
| dc.language.iso | en | |
| dc.publisher | Elfitra | |
| dc.subject | Inflation | |
| dc.subject | time series | |
| dc.subject | Singular Spectrum Analysis and Neural Network | |
| dc.title | MODEL HYBRID SINGULAR SPECTRUM ANALYSIS DAN NEURAL NETWORK UNTUK PERAMALAN KENAIKAN NILAI INFLASI DI INDONESIA | |
| dc.type | Article |