Prediksi Pendistribusian Air di Perusahaan Daerah Air Minum (PDAM) dengan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)
Keywords:Prediction, Water Distribution, Adaptive Neuro Fuzzy Inference System, K-Means
Water is a very important requirement for the life of living things. Clean water is a major component of human activities, both for drinking water, household needs and other supporting activities. To help make the distribution of water in the Tirta Kepri Tanjungpinang PDAM even better, the author wants to predict the distribution of water per month, so that the PDAM Tirta Kepri Tanjungpinang can estimate water use requirements based on water distribution inhibiting factors. Prediction is done using the Adaptive Neuro Fuzzy Inference System (ANFIS) method with the k-means cluster. In this study the data used for prediction of water distribution began from January 2014 - October 2018. The results of the tests carried out with 17 data using the learning rate 0.6 resulted in the RMSE value of 0.07991.