http://repository.president.ac.id/xmlui/handle/123456789/10709 Wed, 08 Apr 2026 11:48:17 GMT 2026-04-08T11:48:17Z http://repository.president.ac.id/xmlui/handle/123456789/11303 IMPLEMANTION OF SUPPORT VECTOR MECHINE AND RANDOM FOREST ALGHORITHM TO DIAGNOSE HEART DISEASE Ihsan, Muhammad Daffa Heart disease is the leading cause of death in the world according to the World Health Organization (WHO). And in Indonesia, heart disease ranks as the second most deadly disease at 12.9%. Along with advances in computer technology and machine learning, software is currently evolving to assist doctors in making decisions without having to go directly to a specialist. Medical diagnosis is considered an art despite all the standardization efforts which is largely due to the fact that medical diagnosis requires expertise in dealing with uncertainties not found in today's computing machines. In this final project, a software using the Support Vector Machine algorithm with an accuracy of 93.44% and Random forest with an accuracy of 90.16% is presented which is a machine learning algorithm to assist the initial examination of patients. In diagnosing a heart attack, a detailed history or medical interview will be conducted regarding the symptoms and a physical examination. This system is intended for internal medicine, especially those with complaints of chest pain, whose function is to check early on the possibility of a heart attack. The purpose of the final project of this system is as a preventive measure so that it can detect patients who may have a heart attack early. Sat, 01 Jan 2022 00:00:00 GMT http://repository.president.ac.id/xmlui/handle/123456789/11303 2022-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/11302 Prediction For Coffee Yield Production Using Simple Linear Regression With Geographical Information System (GIS) Satriyadana, Cakra Coffee is one of the mainstay commodities in the Indonesia plantation sector. In addition, Indonesia is also one of the countries that have the fourth-largest coffee harvest in the world. At this time there are still many coffee farmers who are tracking and determining crop yield manually. Considering the present system are including the manual counting method,and the changing of climate crisis cannot be predicted. This Final Project proposes an application to estimate and determine the coffee yield production. Also using a Geographical Information System to analyze and map the yield area. The dataset of coffee plantations is from Indonesia Central Bureau Statistics. The data set will be input minimum are from the last 5 years, then the data are trained and analyzed using the Linear Regression algorithm to get the estimated prediction result of coffee production for the next year. Sat, 01 Jan 2022 00:00:00 GMT http://repository.president.ac.id/xmlui/handle/123456789/11302 2022-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/11301 ANDROID APPLICATION BASED SELF-PICKUP ITEMS FOR SUPERMARKET Senewe, Daniel Johnathan In recent times, mobile based application becomes a large part in everyday lives, it is due to convenience and efficiency in dealing with mundane activity like setting schedule, ordering online to taking notes. The purpose of this study is to implement a mapping algorithm on a mobile application to order items for self-pickup from a store that has already been registered into the system. The application is hoped to be able to help user in ordering items online and no longer need to wait in queue or enter a store in long period of time. The application will be created using android studio as an IDE and Java as the main programming language, using firebase as the database and a pathfinding algorithm to determine the shortest route to the store that has been registered to the program. By utilizing the pathfinding algorithm that is already implemented into google maps such as A* algorithm and Dijkstra algorithm, it is expected that the application can give the user the most optimal path to the store. The application is expected to show nearby stores and provides the route to the store. It is expected that the application will lessen the time to buy items. Sat, 01 Jan 2022 00:00:00 GMT http://repository.president.ac.id/xmlui/handle/123456789/11301 2022-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/11300 Android-Based Workout Application by using Sequence Algorithm Kurniadi, Bagas Andrean Workout is one of the people's lifestyles right know, one of the sports favorite by the community in forming a more ideal body. However, many members experience muscle injuries because they do not use the services of a personal trainer on the grounds that the cost is too expensive. Based on these problems, this research will design and create a workout training application for beginners. The purpose is to build application for beginners with interactive design. The various types of exercises contained in this application are Legs exercises, Cardio exercises, and arm exercises in the form of picture and explanation. This application development method includes analysis, application design, implementation and testing. The workout service is not optimal for a large number of members, so people need application that support good and practical exercise movements, with the existence of workout application, people can do good and correct movements. This workout application designing produced an alternative application that could be used for beginner in understanding technique and effect from wrong movement. This application increased the knowledge of the people about workout. The result of the application testing showed that this application was proper to be used. Sat, 01 Jan 2022 00:00:00 GMT http://repository.president.ac.id/xmlui/handle/123456789/11300 2022-01-01T00:00:00Z