Long Short Term Memory (LSTM) is known as optimized Recurrent Neural Network (RNN) architectures that overcome the lack of RNN’s about maintaining long period of memories information. As part of machine learning networks, LSTM also notable as the right choice for time-series prediction. Inflation rate has been used for decision making for central banks also private sector. In Indonesia, CPI (Consumer Price Index) is one of best practice inflation indicators besides Wholesale Price Index and The Gross Domestic Product (GDP). Since CPI data could be used as a direction for next inflation move, we conducted CPI prediction model using Long Short Term Memory Method. The network model input consists of 34 variables of staple price in Surabaya and the output is CPI value. In the interest of predictive accuracy improvement, we used several optimization algorithm i.e. Stochastic Gradient Descent (sgd), Root Mean Square Propagation (RMSProp), Adaptive Gradient (AdaGrad), Adaptive moment (Adam), Adadelta, Nesterov Adam (Nadam) and Adamax. The result indicate that Nesterov Adam has 4.088 RMSE’s value, less than other algorithm which indicate the most accurate optimization algorithm to predict CPI value.

Dividend policy is a policy in dividing profit of the company that can be with name and everything, but in it practices often encountered dividing or paying it by unseen. Dividing dividend in appropriate time intervals that is every half year or in a year. This study aims to know about the influence of Leverage, Liquidity, Profitability, and Size towards Dividend Policy. This study using a quantitative approach by using a multiple linear regression analysis methods. The population in this study is registered companies in the stock exchange of Indonesia, food, and beverages year 2013-2017 is the main focus of this study. The sample of this study is collected by purposive sampling method. The result of the coefficient determination test that 34,7% is showing the ability of independent variable determine dependent variable, temporary 65,3% determine by other variables. The simultan test showed that independent variable together influence dependent variable and the partial test showed how does leverage has a negative significant impact towards dividend policy, liquidity hasn’t a significant impact towards dividend policy, profitability has a positive impact towards dividend policy and size hasn’t a significant impact towards dividend policy.