Currently it is the Era of the Industrial Revolution 4.0, where the industrial sector as well as companies and organizations in various fields are required to change. This change is when information and communication technology is used to reach the highest point in the use of digital technology. The Industrial Era 4.0 has had a rapid impact on all activities carried out in the industrial sector and company organizational organizations. The higher the information and communication technology used, the faster the information delivery process will be. A fast information process can help the smooth running of administrative activities in a company or organization, especially administrative activities related to correspondence activities. In managing incoming and outgoing letters at the Institute for Research and Community Service (LPPM) at Mohammad Husni Thamrin University, currently there are shortcomings that are still stored and recorded in making correspondence. This can result in information being presented too late. It is that the need for a technology that will help of the smooth running of the administration in making correspondence by writing letters at the Institute for Research and Community Service (LPPM) at Mohammad Husni Thamrin University. Making a letter application is done quickly and easily by using UML (Unfied Modeling Language) as a tool that helps analyze the flow of the correspondence system and makes it easier to build applications that are needed as well as in the development process. With the help of MySQL as a database, Bootstrap Framework and using the PHP programming language.Keywords: Design, Letter, UML, Codeigniter, Bootstrap

In the interest of Moviegoers with trendy films,cinemas also play a major role in attracting audiences towatch films they like. But changes that are quite dynamicfrom audience interest take turns, sometimes it issometimes not crowded. Thus sometimes the cinemamanager experiences an error in placing the film to beaired, so the number of viewers in the cinema is not asexpected. From this problem, researchers are interested inanalyzing data relating to film audiences in the cinema.By using CART classification, NBC (Naive BayesClassifier) algorithm, SVM (Support Vector Machine), LR(Logis Text Regression) and LDA (Linear DiscriminantAnalysis) which will be compared which accuracy is thebest for predicting the absence or absence of theaudience. Researchers use Anaconda to compare sixalgorithms and will see the highest results from theConfusion Matrix and ROC Curve