Abstrak— At present technological developments, especially in the field of computer vision, are showing significant performance such as the application of convolutional neural networks that have a very high degree of accuracy, for example improving video quality which recently has image restoration such as super resolution (VSR) thanks to deep learning with the aim of helping produce better visual videos. The use of video cameras for mobile devices is now increasingly highly developed. Nowadays mobile devices are experiencing a rapid increase in quality especially in cameras. However, physical limitations such as the small sensor size, compact lens and the lack of supporting hardware can prevent cellular devices from achieving good video camera quality results. For that many method approaches are applied, one of which is the CNN (Convolutional Neural Network) method. This method can improve the image of video recordings that have poor quality.
Keywords—Convolutional neural network, computer vision, Improved video quality ;
The purpose of this study was to determine and analyze the effect of Earning Per Share (EPS) and Company Size (SIZE) on Stock Prices with Dividend Policy as Moderating Variables in Trade, Services, and Investment Sector Companies listed on the Indonesia Stock Exchange (IDX) for the period 2016-2020. The data used in this study is secondary data obtained from monthly and annual data published by Bank Indonesia, the Indonesia Stock Exchange. And Energy Information Administration (EIA) and processed using Path Analysis with SmartPLS 3.0 The results show that Earning Per Share (EPS) has an effect on Stock Prices in Trade, Service and Investment Companies listed on the Indonesia Stock Exchange (IDX), Company Size Has No Effect on Share Prices in Trade, Service and Investment Companies listed on the Indonesia Stock Exchange (IDX).
Keywords: Share Price, Dividend Policy, Earning Per Share, Company Size.
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