http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5445 Sun, 05 Apr 2026 20:28:27 GMT 2026-04-05T20:28:27Z http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5543 Title: Design of expert system to determine a major in higher Education using forward chaining method Authors: Dr. B. Herawan, Hayadi Abstract: The problem of this study was how to design aidsto assist students to introduce their potential and ability that they have. So that, they could choose an exact major in higher education based on their potential and ability. This study aimed to design expert system software to determine a major in higher education based on Multiple Intelligence. Design of expert system software used UML (Unified Modelling Language) process and Microsoft Access as a data base. Description: Education is an effort undertaken by students to create a learning process so that students can develop their potential to be useful for him, nation, state and society[1]. Education as embodied in GBHN (1973) is a conscious effort to develop lifelong inner and outer personalities and abilities within school. Education is not just learning and seeking formal sciences in educational institutions, but education is every effort to change students to adapt to their environment[2][3]. It should be good education should be followed by guidance, such as guidance of student intelligence to determine the majors in the college so that students can know which department suits him through the identification of the intelligence.[4] One of the educational paths in Indonesia is the Secondary School. Middle School is an integral part of the national education system, where secondary schools also have an important role to form competent students. Secondary School is one of the groups of education that also participate in forming students so that students have a high level of expertise in the field. But in general, not all students can determine the choice of majors appropriately.[5] Based on the experience when sitting in high school, there are students who choose the department based on the wishes of parents or sometimes based on the desire to be with friends. Without knowing the potential and ability possessed by him, so that the ability possessed by the student is not in accordance with the chosen majors[6][7]. Mon, 01 Jan 2018 00:00:00 GMT http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5543 2018-01-01T00:00:00Z http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5447 Title: Diagnosis of Cardio-Vascular Diseases using Convolutional Neural Network Authors: Dr. B. Herawan, Hayadi Abstract: Due to its increasing incidence, cardiovascular globally, depression has become a health issue. The focus of this paper using the early convolutional neural network to construct a framework of early warning (CNN). Systolic blood pressure (SBP) and diastolic blood pressure( DBP) levels were more significantly related to cardiovascular disease than those of pulse pressure. A potential percentage of cardiovascular disease-related mortality was associated with robust elevations of SBP and DBP for both age groups of men. Higher SBP and lower DBP (discordant elevations) also led to a higher risk of cardiovascular disease-related mortality among men aged approximately 46 to 60 years. CNN can reduce the risk factor of blood and pulse pressure. CNN has many more advantages when compared to other neural networks. The paper describes a new method, which is widely used, called Convolutional Neural Network(CNN). Using CNN, the cardiovascular disease which affects old age people and heart patients can easily predict the disease symptoms and can cure the diseases. Nowadays, old age people are suffering from cardiovascular. For these people, this Convolutional neural network will be very useful. Using this CNN method, doctors and nurses can predict disease symptoms accurately and efficiently. There are so many diseases cured by the CNN method. Cardiovascular disease using CNN can cure many heart patients. This article describes to us, how cardiovascular disease, SBP, and DBP can be cured using the CNN method which gives many more positive tracks to the patients. Description: Cardiovascular diseases ( CVDs) are the nation's number one cause of death, killing at least 17.9 million passengers annually. Coronary heart disease, cerebral artery disease, rheumatic heart disease, and other illnesses are reported in CVDs and are a cluster of heart and blood vessel disorders. Heart attacks and strokes are mainly accountable for four out of 5CVD deaths, And in human beings under 70 years of age, one-third of these deaths occur prematurely. Individuals at CVD alert, as well as overweight and obese, may show greater blood pressure, glucose, and lipids. For all primary care facilities, this can be accurately estimated. Premature deaths can be discouraged by labeling those at greatest risk of CVDs and ensuring that due management is rendered. In required to preserve Access to essential noncommunicable disease therapies and basic health technologies in all primary health care facilities is essential for those in need to pursue treatment and medication. Tue, 01 Sep 2020 00:00:00 GMT http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5447 2020-09-01T00:00:00Z http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5446 Title: Data Encryption and Decryption Techniques for a High Secure Dataset using Artificial Intelligence Authors: Dr. B. Herawan, Hayadi Abstract: The science of extracting patterns, trends, and actionable data analysis detail of large data sets. The growing existence of data in different county’s servers with structured, semi-structured, and unstructured data formats, such as the data. The demands of these are not met by conventional IT infrastructure, a modern landscape of "Data Analysis." For these reasons, several companies are turning to as a possible solution to this unmet commercial business, Hadoop (opensource projects). The amount of data collected by organizations, especially unstructured data, as businesses burst, Hadoop is increasingly emerging as one of the primary alternatives to store and execute operations on that data. The secondary question of data analysis is defense, the rapid increase in internet use, the dramatic shift in acceptance of people who use social media apps that allow users to generate content freely and intensify the already enormous amount of the site. In today's firms, there are a few stuff to bear in mind when starting innovation ventures for big data and analytics. In the business environment, the need for secure data analytics tools is mandatory. In the previous paper, they implemented a high profile dataset using the encryption technique. Using only the encryption method, cannot secure data very highly. There is a chance of knowing the original data to the third party. To reduce the above issues, the paper introduces a new technology called “Artificial intelligence". Using this new technology, paper can achieve more security for data sets. Using both encryption and decryption models in artificial intelligence can solve the drawback in an existing paper. This will provide the data with either a significant degree of authentication analyzed to ever be. The provision of data analytics is pursued with attribute-based restricts Data extraction allows enabled. This model will work better than the present model. In both security and sensitive economic restructuring, data analytical tools. Description: The focus of Artificial Intelligence (AI) is now at the heart of the Industry of cybersecurity. AI is a word that exceeds these relatively Days, but it applies to a few approaches that can be very useful. Precious for protection. It requires machine learning, Algorithms that can recognize threats and respond to them as It'll happen. They can predict whether the incoming data is likely to be safe or malicious. Many assaults are occurring these days, Uh, not new. These attacks have happened with some other attacks. Before, people in several other locations. Additionally, if we build a database that collects all the data ever generated gets existed and feeds it to neural networks, it is possible to attack Prevented although it takes place. In classification one, we can look at the learning styles and preferences to going to have to decide whether it is malicious or not. Tue, 01 Sep 2020 00:00:00 GMT http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5446 2020-09-01T00:00:00Z