Kernel Nonparametric Regression for Forecasting Local Original Income

Regional Original Revenue (ROR) is an income collected based on regional regulations under statutory regulations. ROR aims to give authority Governments sponsor the implementation of autonomy following potential. Every year, Central Lombok Regency government sets targets assist in formulating policies. The set by are sometimes not their realization. This study determine a model that can be used forecasting targets. One way predict value using nonparametric regression approach. approach flexible since it dependent particular model. use kernel method with Gaussian function obtained minimum GCV 1,769688931 optimum bandwidth 0,212740452 and 0,529682589. Modeling produces coefficient determination 87,55%. best for MAPE 5,4%. analysis results show what influences receipts previous month 12 months.