Metode Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Prediksi Tingkat Layanan Jalan

Abstract

The level of service on a road show the size and quality of a road is used as a measure to limit the volume of traffic a road. Level of service that is less impact on traffic congestion and is now a serious problem, especially in the metropolitant city. It is necessary to develop a prediction of road service level using Adaptive Neuro Fuzzy Inference System (ANFIS). This study aims to help deciding and finding alternative solution to overcome the trafic congestion problem in the traffic area. Traffic congestion can be measured by level of service (LOS) is calculated the ratio between the volume of vehicles with road capacity. In this research, to construct a predictive road service level by ANFIS which combination of the method of fuzzy logic and neural network..The results show that the proposed method can be used to build a predictive of road service level where the input parameter are the number of membership function 2, 1x10-5 error goals, and 100 epoch. The performance of prediction was evaluated by MAPE that reached 0,93158%. Keywords : ANFIS; Prediction; Traffic Congestion