FORECASTING OF AMBON CITY CONSUMER PRICE INDEX (CPI). USING DOUBLE EXPONENTIAL SMOOTHING METHOD FROM BROWN
Abstract
The Consumer Price Index (CPI) is an index that measures the average price of goods and services consumed by households in a certain period of time. An increase in the CPI can cause an increase in interest rates, increase the growth of the money supply, increase the attractiveness of the currency, and increase inflation. The results of the visualization show that the Ambon city CPI forms a trend pattern. This study aims to predict the Ambon CPI from January 2022 to June 2022 using Brown's double exponential smoothing method. The results of the analysis show that the best parameter for forecasting the CPI value of Ambon city is α=0.7 with a MAPE value=1.2644%, which obtains successive forecast results are January at 110.5908, February at 111.4186, month March was 112.2389, April was 113.8871, May was 113.8871 and June was 14.7112. These results show that the CPI forecast for Ambon City has increased every month.
Downloads
References
Langi, Theodores Manuela. et.al (2014). “Analisis Pengaruh Suku Bunga BI, Jumlah Uang Beredar dan tingkat kurs terhadap tingkat Inflasi di Indonesia”, Jurnal Berkala ilmiah Efisiensi, Vol.14, No.2, Mei 2014, Universitas Sam RatulangiManado
Russell & Taylor. 2011. Operations Management. International Student Version.
Maryati, 2010. Statistika Ekonomi dan Bisnis, Edisi Revisi Cetakan Kedua Yogyakarta (UPP) AMPYKPN
P.Subagyo. (2002). Forescasting Konsep Dan Aplikasi. Yogyakarta: BPFE
Handayani, T. (2020). Peramalan Tingkat Produksi Kakao Tahun 2021 di Provinsi Sumatera Utara dengan Metode Double Exponential Smoothing Bron. 1-37
Pujiati, E., Yuniarti, D., & Geojantoro, R. (2016). Peramalan Dengan Menggunakan Metode Double Exponential Smoothing dari Brown Studi Kasus: Indeks Harga Konsumen (IHK) Kota Samarinda. Eksponensial, 33-40
Wildana, Iqbal Gilang. (2021). Digital Repository Repository Universitas Universitas Jember Jember Digital Digital Repository Repository Universitas Universitas Jember Jember. In Digital Repository Universitas Jember (Issue September 2019)
Copyright (c) 2023 Marlon Stivo Noya Van Delsen
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.