Research Article
Construction of ANFIS Model Based on LM-Test for Forecasting of Chili Price Data in Semarang
@INPROCEEDINGS{10.4108/eai.2-8-2019.2290494, author={Tarno Tarno and Di Asih I Maruddani and Rita Rahmawati}, title={Construction of ANFIS Model Based on LM-Test for Forecasting of Chili Price Data in Semarang}, proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia}, publisher={EAI}, proceedings_a={ICSA}, year={2020}, month={1}, keywords={anfis chili price data forecasting lm-test}, doi={10.4108/eai.2-8-2019.2290494} }- Tarno Tarno
Di Asih I Maruddani
Rita Rahmawati
Year: 2020
Construction of ANFIS Model Based on LM-Test for Forecasting of Chili Price Data in Semarang
ICSA
EAI
DOI: 10.4108/eai.2-8-2019.2290494
Abstract
The research aim is constructing Adaptive Neuro-Fuzzy Inference System (ANFIS) model for forecasting time series data. The ANFIS model is constructed and applied to chili price data in Semarang. The daily data are written during December 2018 to May 2019. The input selection in ANFIS is done by using theLagrange Multiplier (LM) test. The lag-1 with 2 membership functions is selected as optimal input. The performance of prediction based on in-sample data is measured by the values of mean absolute percentage error (MAPE) and root mean squares error (RMSE). The values of MAPE and RMSE are 2.9% and 939.8 respectively.
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