Perbandingan Metode Moving Average dan Metode Naïve Dalam Peramalan Data Kemiskinan
Journal Title: JTAM (Jurnal Teori dan Aplikasi Matematika) - Year 2019, Vol 3, Issue 1
Abstract
This study aims to predict the best method on the forecasting system using the Moving Average method (SMA, WMA, and EMA) and the Naive method. In the simulation phase, we used data on the Number of Poverty of the Population of West Nusa Tenggara (NTB) in 2002-2018 to predict the Poverty of Population of the Province of West Nusa Tenggara (NTB) in 2019. Meanwhile, the model was evaluated to see the accuracy of each method based on the value MAD, MSE, RMSE and MAPE. Based on the simulation results of the data from the methods tested, it can be seen that the Naive method is most accurate with the results of the 2019 prediction of 737,460 with MAD, MSE, RMSE and MAPE in the amount of 41.427,188; 2.711.468.146; 52.071,760; and 0.043.
Authors and Affiliations
Ais Kumila, Baqiyatus Sholihah, Evizia Evizia, Nur Safitri, Safama Fitri
Keywords
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- EP ID EP503678
- DOI 10.31764/jtam.v3i1.764
- Views 218
- Downloads 0
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