Research in the Mathematical and Natural Sciences
Vol. 3 No. 1 (2024): November 2023-April 2024

Peramalan Inflasi di Provinsi Gorontalo Menggunakan Metode General Regression Neural Network (GRNN)

Hasan, Isran K (Unknown)
Achmad, Novianita (Unknown)
Lapitung, Putri (Unknown)

Article Info

Publish Date
31 Jan 2024

Abstract

Forecasting the inflation rate is important because the results obtained are used as an indicator that can influence the policies that will be made later. One policy that uses the results of this forecasting as one of the things that can influence it is economic policy and monetary policy. In this study, the method used is the general regression neural network (GRNN). This forecast is applied to inflation data in Gorontalo Province from January 2008 to April 2023, with the conclusion that it produces an inflation forecast for May – December 2023 with a MAPE value of 3.24% or an accuracy rate of 96.76%.

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Journal Info
Research in the Mathematical and Natural Sciences
Website

Abbrev

rmns

Publisher

Cv. Scimadly Publishing

Subject

Computer Science & IT Education Mathematics

Description

Research in the Mathematical and Natural Sciences (RiMaNs) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in their research. RiMaNs disseminate new research results in all areas of mathematics and their ...