PENENTUAN JURUSAN PADA PROSES PENERIMAAN MAHASISWA DENGAN PENDEKATAN LOGIKA FUZZY

Choosing a major is not an easy matter. There are many factors that must be taken into account and carefully thought out so that in choosing a major, it will cause big losses. There are many ways to determine the selection of majors, one of which is by using fuzzy logic. Determination of majors is determined from the results of the selection test in the academic field with the subjects of Mathematics, English and Computer Knowledge. With the aim of recommending the selection of the right major according to academic abilities and improving quality. By using the fuzzy inference model Mamdani max-min method. The system simulation was tried using the MATLAB Fuzzy Toolbox software. The system design is carried out in several stages, namely: (1) formation of fuzzy sets, (2) formation of rules, (3) determination of the composition of rules, and (4) confirmation (defuzzification). Defuzzification is carried out using the Composite Moment method, with the types of membership functions used are mf-triangular, mf-trapezoid and mf-gaussian. From the results of the tests carried out, it shows that the mf-triangular and mf-trapezoid membership function types produce almost the same level of accuracy. While the membership function type mf-gaussian produces a high level of accuracy for mathematics by 87.50%, English 100% and computer knowledge 81.58%.

AI Democratization in Optometry: Developing a Prototype with Azure Cognitive Services Platform

As Artificial Intelligence (AI) technology advances, it is used in almost every aspect of our lives. However, AI is still complicated to implement without help from computer engineers. In the health care field, knowledge of medical and computer knowledge is necessary to create AI-based medical systems. Close cooperation between medical experts and computer experts is essential. For this reason, even if there has been a continuous effort to apply AI into the medical field, it has yet to be universalized. In particular, in the field of optometry and ophthalmology, more complex technology is required than in other medical fields because it is necessary to analyze an eye image to diagnose a disease. Therefore, this study explores the possibility for medical professionals with little computer knowledge in the field of ophthalmology to develop an AI-based diagnostic system without the help of computer engineers. In addition, it explores not only the possibilities but also the diagnostic accuracy of the developed system. Our results show that the diagnostic system discriminates against five common eye diseases to some extent. This study explores whether AI democratization is possible even in the field of ophthalmology that requires advanced skills and knowledge.

Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

University of Harapan Medan is one of the private universities in North Sumatra which has computer-based study programs such as Informatics Engineering and Information Systems. Every year this college receives many registrations from students who have completed their education at the school stage. The large number of incoming student data makes it difficult for the admin to select new students who will register. In this study using the C4.5 algorithm data mining method to map the pattern of student admissions selection in the field of Engineering and computers. The attributes used are the average value of report cards (high, enough, low), basic academic ability tests (very high, high, medium, low, very low), basic computer knowledge tests (very high, high, enough, low, very low) and interviews (good, bad). Data mining is a mathematical calculation process that uses algorithms and requires large data. While the C4.5 algorithm is an algorithm that processes data by calculating entrophy and information gain, where after the calculation process is carried out, those who get the largest information gain value will become nodes and branches. This C4.5 algorithm will describe a decision tree that will form a pattern in student selection. The results of this study indicate that in mapping the selection pattern of interview attributes into level 1 nodes, the attributes of the basic computer knowledge test become the level 1 branch, the attributes of the basic academic ability test become the level 2 branch and the attribute average value of report cards becomes the level 3 branch.

SeamDock: An Interactive and Collaborative Online Docking Resource to Assist Small Compound Molecular Docking

In silico assessment of protein receptor interactions with small ligands is now part of the standard pipeline for drug discovery, and numerous tools and protocols have been developed for this purpose. With the SeamDock web server, we propose a new approach to facilitate access to small molecule docking for nonspecialists, including students. The SeamDock online service integrates different docking tools in a common framework that allows ligand global and/or local docking and a hierarchical approach combining the two for easy interaction site identification. This service does not require advanced computer knowledge, and it works without the installation of any programs with the exception of a common web browser. The use of the Seamless framework linking the RPBS calculation server to the user’s browser allows the user to navigate smoothly and interactively on the SeamDock web page. A major effort has been put into the 3D visualization of ligand, receptor, and docking poses and their interactions with the receptor. The advanced visualization features combined with the seamless library allow a user to share with an unlimited number of collaborators, a docking session, and its full visualization states. As a result, SeamDock can be seen as a free, simple, didactic, evolving online docking resource best suited for education and training.

Formation of research skills in university non-linguistic training profile students during the implementation of a professionally oriented distance course in a foreign language

The research purpose is to identify the level of development of research skills in non-linguistic training profile students in the process of professionally oriented teaching of a foreign language and to summarize the data obtained in the experimental work. The research was carried out based on the author’s distance course “Foreign language for specific purposes in scientific research”, comprising three modules, using electronic testing with the application of the computer knowledge testing program MyTestXPro11.0. The sample comprised 250 students studying English and German. In order to verify the data obtained and the conclusions drawn, a comparative analysis of the test results of the control and experimental groups was carried out. The authors revealed the level of development of research skills in non-linguistic training profile students. So, at the stage of the ascertaining experiment, the average score of successfully completed tasks was 8.9 (44.7%), and at the stage of the control experiment, respectively, 16.7 (83.3%).

Detection of Crime Patterns in Digital Forensic Investigation to Trace the Adversaries

The use of the internet has increased significantly over the past couple of years. Access to the internet has become so common that a person without computer knowledge can also use this facility easily. This ease of availability has provided a lot of benefits to society but on the other hand misuse of the internet for personal or corporate benefits is also increasing. To prosecute cybercriminals and make some lawful checks on everyone's digital activities, digital forensic science comes into the light. In this context, we developed a new framework that improves the digital forensic investigation process. This research paper proposes a method in which we can identify the illegal activities and trace the adversaries. We capture the TCP (Transmission Control Protocol) packets from the servers and workstations. This data collected from the TCP log is stored in the database and preprocessed to eliminate redundant data. Furthermore, the database also contains past data. The proposed framework has three major processes collection of TCP packets, storing and preprocessing of collected data in a database, and mining of the pattern through a digital forensic anomaly collection algorithm. For the evaluation of our proposed framework, we have developed a java based application. The results are shown in the form of reports and tables.

A Survey: E-Learning Affects, Satisfaction and Sentiments of Students of Shaheed Benazir Bhutto University Shaheed Benazirabad,Pakistan

In this paper authors have concluded the satisfaction of undergraduate students about the e-learning (electronic learning) during pandemic situation. The data is collected through research questionarrie from 94 students of Information Technology departmentof Shaheed Benazir Bhutto University, Shaheed Benazirabad. From the total participants 75.5% were male and 24.5% were female. from the result analysis we concluded that those students who are already computer literate and established financial background they managed to learn by home however those who have lack of computer knowledge, belongs from the rural areas and unavailability of internet facility they are not supposed to manage the online classes. few students reports that they don’t have computing devices and internet facility therefore they come at the friend’s residency to attend the online class or to attempt the online examination. As we asked one open-ended question to share their experience about the online learning, from that response we have calculated overall sentiments about the students through the MonkeyLearn online tool, results of sentiments shows that 55.3% positive emotions and reset of the students showed negative emotions about the online learning.

Learning through weblogs: students' perspective and learning evidences

The study reported in this paper examines students' perception of the use of weblogs as learning tools; it also explores evidence of learning within blog postings. Two Ryerson University courses in Information Technology Management that require students to use weblogs are taken as examples. Twenty-two students from these two courses participated in an online survey concerning their blogging experience. The participants had very good computer knowledge - most of them had previous experience using blogs. Most of them thought that building and maintaining a blog was an easy task. However, the research shows that students' perception concerning the use of blogs as educational tools was neutral-students also perceived the impact of using blogs on their ability to learn the course material as neutral. The study shows a lack of clear communication between instructors and students, which could have had a negative impact on students' learning experience. Furthermore, the study indicates that most students perceived the content they posted in a somewhat negative way. A content analysis performed on 22 blogs demonstrates that that the objectives of each course played a significant impact on the evidences of learning apparent in students' blogs. Students in group B demonstrated more evidences of learning then students in group A. Overall, the study shows that the use of blogs as learning tool in university classrooms is promising. Providing students with clear goals, objectives and expectations could help them to build and maintain their blogs in a way that could be more beneficial to their learning experience.

Learning through weblogs: students' perspective and learning evidences

The study reported in this paper examines students' perception of the use of weblogs as learning tools; it also explores evidence of learning within blog postings. Two Ryerson University courses in Information Technology Management that require students to use weblogs are taken as examples. Twenty-two students from these two courses participated in an online survey concerning their blogging experience. The participants had very good computer knowledge - most of them had previous experience using blogs. Most of them thought that building and maintaining a blog was an easy task. However, the research shows that students' perception concerning the use of blogs as educational tools was neutral-students also perceived the impact of using blogs on their ability to learn the course material as neutral. The study shows a lack of clear communication between instructors and students, which could have had a negative impact on students' learning experience. Furthermore, the study indicates that most students perceived the content they posted in a somewhat negative way. A content analysis performed on 22 blogs demonstrates that that the objectives of each course played a significant impact on the evidences of learning apparent in students' blogs. Students in group B demonstrated more evidences of learning then students in group A. Overall, the study shows that the use of blogs as learning tool in university classrooms is promising. Providing students with clear goals, objectives and expectations could help them to build and maintain their blogs in a way that could be more beneficial to their learning experience.

The construction of innovative computer practical training education model in the environment of multiple intelligences Internet of Things

This paper takes the application of workflow technology in a multi-smart IOT message-driven practical training execution system as the research background, analyzes the current situation and problems of the practical training execution system, and reconstructs and optimizes the original on-site practical training model and business methods according to the future development needs of the practical training execution system. This study draws on the theoretical perspective of the computer knowledge body to deeply recognize and understand the connotation of computing ability from the levels of knowledge, skills, and attitude, forms a basic understanding of computing ability through literature combing, and refines the core elements of computing ability through a combination of enterprise case study, content analysis, and questionnaire survey, strives to form a more systematic and in-depth understanding of the connotation and elements of computing ability. It also provides a reference for the clarification of computing ability training objectives of computer science teachers under the trend of intelligence. Facing the enhancement of computing ability of engineering students majoring in computer science at the undergraduate level, the objectives of computing ability cultivation are clarified, the key points of computing ability cultivation mode are refined from three levels: curriculum design, teaching operation, management, and control, and three typical computing ability cultivation modes embedded in undergraduate computer education are constructed: knowledge module combination mode, computing context experience mode, and intelligent industry-leading mode. The operational strategies and implementation paths of the models are discussed in depth. This study emphasizes that, based on the analysis of the characteristics of the trend of intelligence, the computing ability cultivation model is not static.