ARDL Method: Forecasting Data Kemiskinan di NTB
Journal Title: JTAM (Jurnal Teori dan Aplikasi Matematika) - Year 2019, Vol 3, Issue 1
Abstract
This study aims to predict data on the number of poor people in the Province of West Nusa Tenggara (NTB) in 2019 by using the Autoregressive Distributed Lag (ARDL) method. This type of research is quantitative research. Data used from 2002-2018. With MAD, MSE, MRSE and MAPE error parameters. Based on the data simulation results obtained in 2019 prediction results the number of poor people at NTB is 718,059 people, with MAD value of 4,040,26667, MSE of 1,943,057,717, MRSE of 44,080,1284 and MAPE of 3%.
Authors and Affiliations
Aulia Rahmasari, Eka Hawari Sunani, Miftahul Jannah, Fathulaili Fathulaili, Linda Kurnia, Ahmad Satria
Keywords
Related Articles
- EP ID EP502023
- DOI 10.31764/jtam.v3i1.767
- Views 165
- Downloads 0
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