Computer Engineering Research Articles

Analisis Dampak Negatif Dan Positif Model Pembelajaran Flipped Classroom di Universitas Negeri Makassar

The purpose of this study is to determine the negative and positive impact of flipped classroom, Department of Informatics and Computer Engineering, Makassar State University, this type of research is as a whole, namely research and development. In this article, the research design used is evaluative research. The subject of this study was a student majoring in informatics and computer engineering, Makassar State University. Data collection techniques by distributing questionnaires to students majoring in informatics and computer engineering, the results of filling out online questionnaires filled out by students. Meanwhile, at the data analysis stage, descriptive analysis is carried out. That the activeness of students of the Department of Informatics & Computer Engineering Makassar State University in the flipped classroom learning model can be said to be good

Analisis Ancaman Terhadap Keamanan Data Pribadi pada Email

Today's technological advances cannot be separated from people's lives. Basically, technology was created to facilitate human work. One of the very rapid technological developments is in the field of communication technology. The communication technology that is widely used in the world is email. Email is a very popular application and is used every day for personal, business or for official because it has many positive things. But on the other hand, email also has a negative impact. Due to the large use of email, many criminals use email to steal user privacy or other nefarious purposes. The research method used is quantitative research method. Data collection was carried out by collecting data from student surveys of the Department of Informatics and Computer Engineering, Makassar State University. This study was conducted by distributing research questionnaires. Therefore, we need to analyze what are the threats to email in order to avoid theft of personal data and other threats.

Smart Greenhouse Monitoring System Using Blynk IoT App

Aims: A smart greenhouse system that utilizes the Blynk IoT app is an innovative technology designed to automate greenhouse operations, thereby reducing labor and resource costs and optimizing plant growth.
 Study Design: In this paper we propose a real-time mobile app-based monitoring system to automate greenhouse agriculture. The system involves the usage of Blynk mobile application that allows users to monitor, control both manually and remotely as well as automation of various aspects of the greenhouse environment in real-time.
 Place and Duration of Study: Department of Computer Science and Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh between February 2023 to April 2023.
 Methodology: Multiple environmental sensors, temperature, humidity, soil moisture, light intensity, and Light Dependent Resistor (LDR) sensors continuously collect data. Farmers can remotely monitor and control the greenhouse using the Blynk IoT application. A fire sensor alarms it. Farmers can tailor alerts for environmental changes like irrigation or heating. They can manually and remotely control fans, lights, and humidifiers. If temperature, light intensity, or humidity drop below a specified threshold, the system turns on fans, lights, and humidifiers. A water pump that kicks on automatically based on soil moisture and can be regulated remotely ensures the plants get enough water.
 Results: The proposed system allows for real-time updates of sensor data and enables remote control of connected devices via the mobile app from any location, with notable fast processing subject to the quality of the internet connection.
 Conclusion: Upon successful implementation of this research, we anticipate the emergence of an advanced automated smart greenhouse monitoring system that will greatly benefit farmers in Bangladesh. This new method could change greenhouse and farm management, improving efficiency, cost, and crop yields.

Massive open online course (mooc) based desa skill application

This research aims to build skills applications that can be used to collect skills data and improve the skills possessed by the community, while understanding concepts that can be done to improve digital community resource management and provide applications to analyze information exchange online. Sampling was carried out through intentional data collection techniques using questionnaires and tests. The Skill Village application is built using massive open online course (MOOC) technology, and complex problems are handled through complex computer simulation technology and massive open online course technology, a computer engineering education model that can adapt quickly. Implementing an online skills village information exchange application to support and improve the skills and management of community resources. Community resources that are well managed can reduce unemployment, so that the positive impact that is felt is an increase in people's income. Testing the Skill Village application was carried out using the -t test and gain test techniques, where the t test was used to test hypotheses and the gain test was used to determine the significant results of the community's professional level

APLIKASI PENCARIAN JUDUL TUGAS AKHIR MAHASISWA BERBASIS VISUAL STUDIO 2012 DAN MYSQL

The application to search for student final assignment titles at the Payakumbuh College of Technology is still being done manually, namely written in a book that has been provided by the admin of the computer engineering study program, thus storing the data has not been computerized so that it can result in human error. Therefore, it is felt less effective and efficient. Because in searching for data for the title of the final assignment, you have to look at it one by one so that there are no similarities between other upper-level students, to do the search takes a relatively long time, the data stored in the book can also be lost by the computer engineering study program admin. So there is a need for an application to search for student final assignment titles at the Payakumbuh College of Technology using Visual Studio 2012 and MySQL. The existence of this search application makes it easier for the computer engineering study program admin to see lists of names of students who have taken the title of the final assignment. The admin of the computer engineering study program can make a search in a short time and doesn't take a long time. In addition, the admin of the computer engineering study program can also perform data archiving by inputting the data into this application, be it student data, lecturer data and title data so that it can overcome the loss of data. The data that has been input can also be printed according to annual data and individual data.

Genetic algorithm‐based price and warranty optimization in software systems

AbstractOwing to increasing competition, the marketing of commercial software products is a challenging task. Diverse marketing strategies are adopted to tap the huge market share. Among these, pricing and warranty are the most significant ones. The warranty policies organizations adopt usually have two dimensions: duration and effort spent during the warranty phase. In this paper, two variables are broadly taken: testing, which is an essential phase during software development, and warranty, which is a crucial component of after‐sales service. Here, we will formulate an optimization problem where returns and expenses will be influenced by price, testing resources spent, the duration for which testing is done, warranty duration and effort spent during warranty for the software product. The product sales are assumed to follow a Stochastic Bass model based on Non‐Homogeneous Poisson Process (NHPP). A free on‐site support warranty with an upper limit on duration and effort covers the 2D failure process. The numerical illustration is presented wherein profit is maximized by conjointly optimizing five variables, that is price, testing duration, testing effort, warranty duration and warranty effort. This study emphasizes on application of a popular soft computing, metaheuristic technique named genetic algorithm (GA) to solve an optimization problem for a software system. The solution to the Optimization problem is obtained using the GA tool in MATLAB. The results obtained have relevance in the industry for finding optimal values of significant variables before the release of newly developed software products to the ultimate client. The concept discussed in this paper has diverse applications in computer engineering, software and hardware industry.

A study on needs to design English teaching materials at vocational school

English for Specific Purpose (ESP) instruction in vocational schools necessitates the use of English materials that are tailored to the students' particular requirements. However, the English materials currently available for vocational institutions lack an adequate needs analysis. In order to address this issue, the purpose of this study is to determine the requirements of students in the computer and network engineering department for procedure text teaching materials. Eleventh-grade students majoring in computer and network engineering were selected by simple random sampling and surveyed for the study. The results indicated that the primary objective of the students' explanation-based learning process was to enhance their speaking skills. In addition, instructors favoured interactive, engaging, and simple-to-understand multimedia learning to teach English. This research can be used as a guide for designing English language instructional materials that meet the requirements of vocational students, especially those majoring in computer and network engineering.

Simulation of Neuronal Membrane Behavior Based on Graphene Oxide Memristor

Computing and neuromorphic engineering areas have gained notoriety over the past few years. The current paradigm of computing, based on a centralized system, is an obstacle to evolution. It is necessary to leave Von Neumann's paradigm behind and invest in a more organic and decentralized model of technology. Neuromorphic computers are not made with transistors, but with memristors, electronic components are capable of retaining memory. In this study, the aim is to analyze the behavior of a memristor based on graphene oxide (GO) doped with silver simulating the neuronal membrane and validate the operation of the resistor–capacitor (RC) circuit as a possible tool for analysis of memristor devices. Electrical analyses are carried out in two stages: first, an I × V analysis of device parameters is carried out with a picoammeter; then, a test with a developed RC circuit is carried out in three conditions: a simulated RC circuit, an experimental analysis of the same circuit, and finally, the RC circuit is associated with the memristor. Memristor device presents threshold switching, which is a desirable feature when it is required to simulate neuronal firing. In addition, when associated with the RC circuit, the curve behavior obtained for charging and discharging the capacitor becomes nonlinear.

Best Practices for Implementing Effective Student Outcome Evaluation Methodologies in ABET-Accredited Computer Engineering Programs: A Case Study Analysis

This paper acts as a guide for managers and institutions as they get ready to start the accreditation process for their programs. Documenting the approaches, teaching techniques, and strategies employed by various computer departments as they pursue ABET accreditation can be extremely helpful for other institutions looking to obtain certification for their own computer engineering programs. By sharing best practices and successful methods for implementing student outcome evaluation methodologies, institutions can avoid confusion and resource waste and improve the quality of their academic programs and student enrollment. One way to document these approaches and techniques is through case studies of successful ABET-accredited computer engineering programs. These case studies can provide detailed information on the specific methodologies used for student outcome evaluation, the challenges faced during the accreditation process, and the strategies employed to overcome those challenges.

Empirical Action Research on Improving Student’s Classroom Participation: The Case of Dilla University Computer Engineering Students

Empirical Action Research on Improving Student’s Classroom Participation: The Case of Dilla University Computer Engineering Students

Mapping and predicting research trends in international journal publications using graph and topic modeling

Researchers and journal managers need summary information, such as research maps and trends. Topic and words-based document content analysis alternative to science mapping and trend prediction based on bibliographic analysis. The data are a collection of journal articles/proceeding documents and metadata for 2011-2020 published by the International Journal of Electrical and Computer Engineering (IJECE). A combination of several techniques and methods is used, such as text mining, topic modeling, cosine similarity, network analysis, graph theory, and seasonal autoregressive integrated moving average (SARIMA). This research has produced research topics, mapping, trend prediction, and visualization according to its objectives. The results of the topic coherence test obtained the optimal number of topics, as many as 6. The results of the topics were evaluated by experts to be given labels and areas of focus. On the research map for each topic, information is found on trending research, the most popular research, research that is central to the research group, and critical research on the development of the group path. It also identifies the type of breakthrough, incremental, and research gap. Predictions of research trends obtained are based on topics and words that describe the development of research. Visualization is descriptive and predictive.

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Undefined• Conference submission management system: Morressier• Number of submissions received: 61• Number of submissions sent for review: 0• Number of submissions accepted: 60• Acceptance Rate (Submissions Accepted / Submissions Received × 100): 98.4• Average number of reviews per paper: 0• Total number of reviewers involved: 0• Contact person for queries: Name: wangzhongsheng Email: wangzhongsheng@xatu.edu.cn Affiliation: Xi’an Technological University - School of Computer science and engineering

IEEE Fellows – Class of 2023 [Society Briefs

Professor Yike Guo is the Provost of the Hong Kong University of Science and Technology (HKUST). He is concurrently a Chair Professor in the Department of Computer Science and Engineering.

On Hierarchies of Balanced Sequences

Balanced sequences and balanced codes have attracted a lot of research in the last seventy years due to their diverse applications in information theory as well as other areas of computer science and engineering. There have been some methods to classify balanced sequences. This work suggests two new different hierarchies to classify these sequences. The first one is based on the largest <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\ell $ </tex-math></inline-formula> for which each <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\ell $ </tex-math></inline-formula> -tuple is contained the same amount of times in the sequence. This property is a generalization for the property required for de Bruijn sequences. The second hierarchy is based on the number of balanced derivatives of the sequence. Enumeration for each such family of sequences and efficient encoding and decoding algorithms are provided in this paper.

Computer and Information Science and Engineering Research Initiation Initiative (NSF)

Computer and Information Science and Engineering Research Initiation Initiative (NSF)

The Application of Information Technology in Preventing and Controlling COVID-19 Pandemic: A Bibliometric Study

Introduction:Information Technology has been applied to respond to the coronavirus disease 2019 (COVID-19), which has attracted increasing attention. However, there is still no comprehensive bibliometrics study in the global publications on the application of Information Technology in COVID-19. This study aimed to investigate the current research status of Information Technology in preventing and controlling the COVID-19 pandemic.Method:Relevant literature published between 2020 and 2022 was downloaded from Web of Science Core Collection (WoSCC) databases. Key search terms included COVID-19, big data, artificial intelligence, internet of things, cloud computing, etc. The data elements were as follows: year, countries/territories, institutions, authors, journals, research areas and citations of publications. Statistical methods and knowledge domain maps were applied to conduct contribution and collaboration, co-occurrence and co-citation analysis using VOSviewer. COOC software was used to construct the two-mode matrix, conduct hierarchical cluster analysis of high-frequency keywords and journals, and identify keywords of bursts.Results:A total of 10,962 articles were retrieved. The most frequent country and institution were USA (2,423, 22.10%) and the University of California System (212, 1.934%), respectively. The research areas were included but not limited to computer science (2,198, 20.051%), engineering (1,421, 12.963%) and public environmental occupational health (1,032, 9.414%). Three research hotspots were identified: (i) Internet-based social and psychological surveys; (ii) Distance education, telecommuting and telemedicine; (iii) Artificial intelligence-assisted diagnosis of COVID-19 patients. The clustering results of a two-mode matrix showed that research had the most frequent interaction with health, social media and information technology. According to co-citation analysis, a total of four clusters of journals had been obtained (clinical medicine, medicine, computer science and engineering, and public health). The keywords of burst were computer-based learning, general public, student-centered learning, etc.Conclusion:Information technology has played an important role in the response to COVID-19, which belongs to the interdisciplinary field.

Crowd-sourced AI based Indoor Localization using Support Vector Regression and Pedestrian Dead Reckoning

Aims and Background: Artificial intelligence (AI) is expanding in the market daily to assist humans in a variety of ways. However, as these models are expensive, there is still a gap in the availability of AI products to the common public with high component dependency. Objective and Methodology: To address the issue of additional component dependency on AI products, we propose a model that can use available Smartphone resources to perceive real-world huddles and assist ordinary people with their daily needs. The proposed AI model is to predict the user’s indoor position (Node) at the computer science and engineering block of CMR Institute of Technology (CMRIT) by using Smartphone sensors and wireless signals. We used SVR to predict the regular walk steps needed between two Nodes and Pedestrian Dead Reckoning (PDR) to predict the walk steps needed while the signal was lost in the indoor environment. Results: The Support vector regression (SVR) models make the locations to be available within the specified building boundaries for proper guidance. The PDR approach supports the user while signal loss between two Received Signal Strength Indicators (RSSI). The Pedestrian dead reckoning - Support Vector Regression (PD-SVR) results are showing 98% accuracy in NODE predictions with routing tables. The indoor positioning is 100% accurate with dynamic crowd-sourcing Node preparation. Conclusion: The results are compared with other indoor navigation models K-nearest neighbor (KNN) and DF-SVM are given 95% accurate NODE estimation with minimal need for network components.

PKM EDUKASI BERKALA PENGUNAAN SOFTSKILL TRAINING STRUCTURAL EQUATION MODELLING (SEM)

This Community Service aims to provide assistance in Deepening Structural Equation Modeling (SEM) Features to Produce Quality Scientific Publications with the Association of Indonesian Young Lecturers (ADMI). This community service activity is a form of cooperation between Gunadarma University and the Association of Indonesian Young Lecturers (ADMI). This community service activity was carried out during the COVID 19 pandemic, so most of it was carried out through online and offline meetings. The target output for this semester's community service is focused on increasing the application of science and technology in the community on the basis of communicative Structural Equation Modeling (SEM) in-depth training and adding a simulation of Multiple Inier Regression. The result we hope is to be able to help fellow human beings and to ease the burden of life for the community in terms of statistical needs in the fields of Information Systems, Psychology, Computer Engineering, Accounting which are used for work and daily life as a new tourist destination in the city of Bekasi.

SIMULATION TECHNIQUE IN DETERMINING STUDENT ATTENDANCE USING THE MONTE CARLO METHOD

In lectures, attendance is one of the assessment points that plays an important role in determining a student's graduation. The attendance prediction simulation is an estimate of the calculation of student attendance in lectures. This type of research is quantitative research using data collection techniques by means of observation and documentation study. In the process of analysis, the observed data were attendance data of 5th semester computer engineering study program students and a sample of 40 people as research subjects. The stages of the monte carlo simulation are used: Determining variable frequency; Calculating cumulative probabilities; Determine random number intervals; Create a simulation to determine student attendance; Generate random numbers; Make a simulation of the experimental circuit. Based on a series of experimental data that has been The simulation results obtained predicted attendance and absence of computer engineering study program students at the STMIK Agamua Wamena campus from November 7 to December 19, 2022 with an average attendance of above 50%. Keywords— Attendance, Simulation, Monte carlo, Prediction

MODEL OF A CHAOTIC ULTRA-WIDEBAND INFORMATION TRANSMISSION SYSTEM FOR WIRELESS SENSOR NETWORKS

Distributer measuring systems, consisting of interconnected wireless sensor nodes with autonomous supply, have plenty of applications in different areas of engineering end technology. Therefore, wireless sensor network design and optimization is a vital problem in informational technologies and computer engineering. Regardless of particular application and architecture, a wireless sensor network consists of several small sensor nodes somehow distributed in an area of inspection. Such a design ensures a distributed parameter measuring, according to which, each node performs preprocessing procedures for the data, which are to be aggregated by a so-called sink node and sent via other networks, e.g., wired or wireless local area network. For healthcare solutions, it is important to ensure a stable connection with the network and server back-end to provide a high-level analysis based on predicting methods of machine learning algorithms. This paper describes an application of an ultra-wideband communication model based on chaos synchronization as a low-power and efficient alternative solution for building wireless sensor networks. Thus, using chaotic signals as information carriers in wireless communication has several advantages, including a wide smooth spectrum, high information capability, cybersecurity, and low power consumption. The synchronization problem is one of the most vital tasks to be solved to design a chaos application for ultra-wide-band communication. Being well-studied for periodic signals, modern synchronization theory contains plenty of solutions for classical telecommunication and radio engineering systems, however, it is not developed enough for chaotic systems. Hence, a one-directional dissipative synchronization between two Chen systems is studied in the first section. The second section is devoted to the computer simulation of the model, described in the previous section. All the models built and the simulations performed have been done using MATLAB/Simulink software. The negative impact of channel noise and inequality of system parameters is considered. The possible way how to improve technical characteristics is also provided. Proposed models are to be used to design and develop low-cost wireless sensor networks for multi-channel healthcare solutions.