The purpose of this research is to find the best method of predicting the level of sales based on previous data conditions. There are several methods that are often used for forecasting in business, such as moving averages, exponential smoothing, and ARIMA. In this study using two methods which will then be compared, Neural Network and ARIMA. Neural Network is a new method of recent y…
"The aim of this study is to find the best model in predicting the occurrence of delisting in Islamic stocks by comparing three types of models, Logistic Regression, Artificial Neural Network (ANNs) and Support Vector Machines (SVM) in the companies listed on the Indonesian Syariah Stock Index (ISSI) in the period 2012 - 2018. With the variables ROA, ROE Leverage, Debt to Equity, Quic…