The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

Research Article

Prediction Of Lamp Price Using Adaptive Neuro Fuzzy Inference System

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  • @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
Mohammad Ridwan1,*
  • 1: Islamic university Sheikh Yusuf
*Contact email: mridwan@unis.ac.id

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