Research Article
Prediction Of Lamp Price Using Adaptive Neuro Fuzzy Inference System
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280522, author={Mohammad Ridwan}, title={Prediction Of Lamp Price Using Adaptive Neuro Fuzzy Inference System}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={predicted price anfis fuzzy prediction adaptive neuro network fuzzy inference system}, doi={10.4108/eai.24-10-2018.2280522} }- Mohammad Ridwan
Year: 2018
Prediction Of Lamp Price Using Adaptive Neuro Fuzzy Inference System
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280522
Abstract
Precise Lamp predictions lead to the optimal allocation of resources, efficiency improvements, and increased company revenue. to forecast the price of building lights is a type of non-linear prediction. In this study, periodic data with time range of data from Jan-2009 to Dec-2015 used as prediction process parameter using ANFIS. The research method was started by mapping data into 4 input parameters and 1 output result, followed by training and testing 3 times with data classification period 1-19, 2-20, and 3- 21. The result of the research Prediction of price using ANFIS model based on 63 data with 3 variant of light and input parameter that include number of membership function = 2, membership function type Trapezium, error goal 0, and epoch Maximum 100 able to give value of RMSE=0.05, MAPE=5.62, and produces predictive price according to actual data with percentage difference of 1,65x10-3
