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The Mapping of Water Quality Prediction using Adaptive Neuro-Fuzzy Inference System

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Published under licence by IOP Publishing Ltd
, , Citation M M Santoni et al 2019 J. Phys.: Conf. Ser. 1196 012054 DOI 10.1088/1742-6596/1196/1/012054

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megasantoni@upnvj.ac.id

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1 Department of Informatics, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran, Jl. Rs. Fatmawati, Pondok Labu, South Jakarta, 12450, DKI Jakarta, Indonesia

2 Department of Information System, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran, Jl. Rs. Fatmawati, Pondok Labu, South Jakarta, 12450, DKI Jakarta, Indonesia

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1742-6596/1196/1/012054

Abstract

This research proposed a mapping of water quality level prediction in China's main watershed by using Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a method that combine the advantages of Fuzzy Inference System (FIS) and Artificial Neural Networks (ANN). This research used data from The National Environmental Monitoring Center of China (CNEMC) website. Based on the result, the water quality level in 113 of 127 river nodes can be predicted correctly. The prediction results were mapped by using QGIS tools to help any stakeholders monitoring the water condition in China's main watershed.

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10.1088/1742-6596/1196/1/012054