This study implements stock index price predictions using the LSTM method, where one of the processes in data management before running with the LSTM method is data split. This study also looks for the most appropriate split data ratio in predicting stock index prices to minimize error rates and differences in forecasted prices and original prices because in previous studies there were several rules of thumb in dividing data, so it is necessary to compare the most appropriate ratios in this research. Based on the evaluation process, the error value was found from nine split data ratios that were run by five ratios which produced a predictive graph line shape that resembled the validation line. Three datasets, namely split data ratios of 80:20, 70:30, and 60:40, are the ratios that get the lowest error values based on the RMSE, MSE, MAPE, and MAE values in the five stock index datasets. The three ratios are then compared again by looking at the average percentage difference between the validation price and the predicted price for the next working day, and it is found that the ratio of 80:20 is the most suitable split data ratio for predicting the stock index price for the next working day, with a level of difference in the average value between the original price and the predicted price on the stock index of 1.3%. While the ratio of 70:30 has an average predicted value of five stock index datasets of 1.9% and a ratio of 60:40 of 1.8%.

This study's goal is to investigate the effects of employee training and engagement on workers' performance, with organizational commitment acting as a bridging variable. Data for this study was gathered quantitatively from employees in one of supply chain company in Indonesia. Employing a probability sampling approach as a sample technique. Path analysis was employed as a data analysis approach in this study with the use of the analytic program SPSS. The study's findings include a significant positive relationship between employee engagement and organizational commitment, a significant positive relationship between employee engagement and training, a significant positive relationship between employee engagement and training, and a significant positive relationship between employee engagement and employee performance. Training has a very favorable impact on staff performance. Organizational commitment has an impact on employees' performance. Organizational commitment, training, and employee engagement all have an impact on employee performance. This study is anticipated to be utilized as a resource for thought, the sharing of concepts, and the introduction of alternative solutions to issues in businesses pertaining to employee engagement and training that are beneficial in enhancing It is anticipated that this will enhance worker performance and eventually aid in the accomplishment of corporate objectives.