Utilizing Computer Technology Research Articles

Leveraging the Synergy of IPv6, Generative AI, and Web Engineering to Create a Big Data-driven Education Platform

The rapid advancement of network technology in China has significantly accelerated the implementation of information technology in higher education. Through the utilization of computer technology, multimedia technology, big data technology, artificial intelligence technology, and network communication technology, the integration of these technologies in university teaching has become widespread. This paper presents an analysis and discussion on the utilization of the latest IPv6 network transmission protocol technology to enhance the application of data collection in university education, with a specific focus on gathering information related to university faculties. By leveraging web engineering and multimedia technology as fundamental components, the network facilitates the sharing of educational resources among students, thereby enabling the reform of management approaches, fostering educational progress in China, and establishing a comprehensive big data-driven education platform specifically tailored to colleges and universities. Additionally, the incorporation of big data visualization and analysis tools allows for easy retrieval of existing university educational information, facilitates the creation of data charts, and expedites the utilization of data for its inherent value. Finally, the proposed approach employs generative AI to collect and analyze feedback from students and educators, followed by the application of web engineering techniques to continuously enhance the online education platform based on this feedback.

PERFORMANCE ANALYSIS OF BUSINESS STARTUP WEBSITE USING GT-METRIX WITH WATERFALL SOFTWARE DEVELOPMENT LIFE CYCLE METHOD

Business ventures began to expand towards technology that initially used conventional sales and payment methods, then developed by young people who saw business opportunities could be simplified in an easy way but had a lot of profit. They utilize computer technology by creating ways to sell through online, namely website media as startup business people. The purpose of the study was to analyze the performance of the "bikinian ibu" website with a http://bikinanibu.lovestoblog.com/ url address. Analysis activities in the form of measuring website speed performance, testing browser timing, testing Tab Structure, Testing Tab Waterfall in diagram form, Testing Tab History, Testing website vitals, Testing Tab Speed. The method used is the Waterfall method by following the following stages: analysis, design or design, coding, testing and maintenance. Based on the results of testing the performance of the "mother-made" website in the GTMetrix section, a Performance analysis score of 93% was obtained, CLS (Cumulative Layout Shift) has not shown good results because it exceeds the maximum standard score on CLS (Cumulative Layout Shift), the structure score covers 89% with the grade A category which means it shows good results. Website loading time also shows good results, website testing looks like there are constraints in the medium and low urgency categories. On the Waterfall tab of the website in the form of waterfall chart results there are 2 404 errors, 20 requests with a total file size of 622KB and 0.96MB for uncompressed files, while the time to load the website is 1.4 seconds. From the results of the Total Page Size of the website is 624KB, while the total page request is obtained as much as 20.

Iraqi Kurd or Arab Male Authenticity Detection Based on Facial Feature

As an inherent human characteristic, ethnicity plays a fundamental and critical role in biometric identification. On the other hand, the human face is the core of man’s identity, and facts such as age and race are often extrapolated automatically from the face. The objective is to utilize computer technologies to identify and categorize ethnic groups based on facial features. Convolutional neural networks (CNN), which can automatically identify underlying patterns from data, excel at learning image features and have shown state-of-the-art performance in several visual recognition challenges, such as ethnicity detection. Although the automated classification of traits such as age, gender, and ethnicity is a well-researched topic, Iraqi ethnic groupings have not yet been addressed. This study seeks to tackle the challenge of predicting the ethnicity of Iraqi male individuals based on their facial traits for the two largest ethnic groups, the Arabs, and the Kurds. Male Iraqi Kurds and Arabs were each represented by 260 image samples. The dataset underwent a diverse array of preprocessing and data enhancement techniques, including image resizing, isolation, gamma correction, and contrast stretching. Moreover, to augment the dataset and expand its diversity, various techniques such as brightness adjustment, rotation, horizontal flip, and grayscale augmentations were systematically applied, effectively increasing the overall number of images, and enriching the dataset for improved model performance. Face images of Kurds and Arabs were classified using the Faster region-based CNN (RCNN) approach of deep learning. Due to insufficient data in the dataset, we propose employing transfer learning to extract features using several pre-trained models. Specifically, we examined EfficientNetB4, ResNet-50, SqueezeNet, VGG16, and MobileNetV2, resulting in accuracies of 96.73%, 94.91%, 93.39%, 92.48%, and 90.32%, accompanied by corresponding precision values of 0.86, 0.81, 0.80, 0.70, and 0.69, respectively. It is essential to emphasize that the following inference speeds – VGG16 (4.5 ms), ResNet-50 (4.6 ms), SqueezeNet (3.8 ms), MobileNetV2 (3.7 ms), and EfficientNet-B4 (16 ms) – represent the computing times needed for each backbone. Moreover, to achieve a harmonious trade-off between precision and the time required for inference, we chose ResNet-50 as the foundational framework for our model aimed at classifying ethnicity. The study also acknowledges limitations such as the availability and diversity of the dataset. Nevertheless, despite these limitations, it provides valuable perspectives on the automated prediction of Iraqi male ethnicity through facial features, presenting potential applications in various domains. The findings contribute to the broader conversation surrounding biometric identification and ethnic categorization, underscoring the importance of ongoing research and heightened awareness of the inherent limitations associated with such studies.

Line segment detection algorithm in image extraction improvement study

In recent years, image processing technology has been developing and maturing, but due to the influence of many interfering factors in the acquisition process, there is a large amount of redundant information in the images obtained. The line segment detection algorithm in image extraction needs to be improved. This study utilizes computer technology to improve the line segment detection technology, and designs a line segment detection algorithm based on the linear detection improvement. Firstly, based on the basic principle of straight line detection algorithm, for the problems of line segment breakage and missing in straight line detection, RGB three-channel grayscale map is applied to detect line segments. Then the detected line segments are connected, merged and deleted. The test results show that the line segment detection algorithm improved based on straight line detection has the highest accuracy rate of 94.50 %, and the average processing time per image is also the lowest at 0.2 s. The algorithm runs faster at 0.25 s and has a higher F-value. It is able to detect the boundaries of a variety of rectangular targets, using the improved line segment detection algorithm has a wide range of applicability, lower error rate, and strong anti-interference ability. The improved line segment detection algorithm has a greater advantage in rectangular target extraction for document, text and book type images.

Exploring the Application of Computer Science and Technology in the Context of Big Data

In recent years, with the advancement of computer technology, the IT industry has seen new opportunities. With the continuous development of information technology, computer technology and information technology are also changing. However, with the development of technology, the needs of users are also changing, which puts forward higher requirements for the development of computer technology. Therefore, how to apply computer technology to big data is an important problem that needs to be solved urgently. In the era of big data, the combination of information technology and people's work and life can greatly improve people's work efficiency and quality of life. Therefore, it is necessary for us to do some in-depth research on how to utilize computer technology to deal with a large amount of data. With the arrival of the big data era, the development of human society is more and more manifested in science and technology and informationization, as well as the mutual integration of information and industry.

Reporting Application of Groundwater Use Volume by Industrial Taxpayers

The Bandung District's Regional Revenue Agency (BAPENDA), primarily tasked with managing local taxes, currently utilizes computer technology for most of its operations, albeit not to its full potential. Currently, manual techniques that utilize paper are still utilized to report the amount of groundwater consumption by taxpayers. As a result, this can affect the accurate computation of groundwater taxes and lead to delays in distributing information regarding groundwater taxes. This study aims to develop an application that enables taxpayers to report the amount of groundwater they use efficiently. This application will also facilitate the access of groundwater usage reports by Tax Division I, hence enhancing convenience. The Final Project utilizes a descriptive research methodology, whereas the system development process employs OOAD (Object-Oriented Analysis and Design). This application system is designed using the PHP programming language and utilizes the MySQL XAMPP database. The chosen framework is CodeIgniter due to its extensive range of capabilities that facilitate the creation of robust and high-performing web applications. To summarize, this research has effectively developed an application that allows taxpayers in the Bapenda of Bandung District to submit their groundwater usage volume. This application simplifies the reporting procedure for taxpayers and assists Tax Division I in accessing groundwater usage statistics.

The Potential of YouTube as a Source of Mathematics Learning Education

The rapid progress in technology and information has facilitated the integration of computer-based technology into the realm of education. Utilizing computer technology as a learning medium or learning resource is something that must be done. Indeed, a plethora of educational resources are readily available on the internet in the form of electronic learning (e-learning). The predominant format of content in e-learning platforms is textual, which poses challenges for students in comprehending mathematical concepts due to the nature of mathematical material that often involves detailed explanations of problem-solving procedures. Due to this rationale, instructional materials presented in the format of videos serve as a viable substitute for textual media. The educational videos that have been produced can be published on online platforms dedicated to video sharing, such as YouTube. The objective of this study is to assess the viability of YouTube as an educational resource for mathematical education. The present study employs a qualitative descriptive methodology, wherein the researcher assumes the role of the primary instrument. The study involved an examination of mathematics learning materials that were released by various channels on the YouTube platform. Additionally, interviews were performed with mathematics educators and high school students to gather their perspectives on the use of YouTube as a resource for studying mathematics. The findings of the study indicate the existence of YouTube channels that offer mathematics educational content suitable for student learning purposes. In the study, it was found that 30% of the participating students utilised YouTube as a means of acquiring knowledge in the field of mathematics. However, it is worth noting that participants inadvertently stumbled into mathematics learning videos on YouTube while utilising the platform as a source for learning mathematics. Students utilise the Google search engine to seek for relevant material, subsequently employing YouTube as a platform to locate videos that align with their specific preferences. Based on interviews conducted with mathematics educators and students, it is evident that YouTube has the potential to serve as a viable platform for mathematical education. However, it is crucial to acknowledge and evaluate the various advantages and disadvantages associated with its use in this context.

Electronic music composition thinking using visual learning and visual sensing technology

AbstractThis exploration aims to provide a kind of interactive electronic music composition thinking based on visual learning and visual sensing technology to enhance the thinking process of electronic music composition. Initially, it summarizes the functionalities of the physics components in Unity and analyzes the principles of visual interaction implementation using Virtual Reality (VR) devices and Leap Motion in Unity. Subsequently, the composition of interactive electronic music works is designed and implemented based on ultrasonic sensor technology. Lastly, this exploration focuses on the complete visual design of the audio‐visual integration of Musical Instrument Digital Interface (MIDI) music to represent Cymatics' images of the emotional content of the music. MIDI data can be assigned to provide various mapping possibilities between images and content in music visualization composition. This exploration also designs experiments based on sensory aftereffects and audio‐visual synesthesia to further determine the counterpoint law between the shape of dynamic Cymatics' images and the timbre's audio‐visual synesthetic results. The results indicate that Bass and Kick are distributed in the mid‐low frequency and sub‐low frequency range (20–160 Hz), Vocal and Lead are distributed in the mid‐high frequency range (1280–2560 Hz), and Hihat is distributed in the high‐frequency range (2560–5120 Hz). This exploration utilizes computer technology to create a music visualization method that conforms to the visual expression and aesthetic style of a multi‐sensory experience.

Economic and Environmental Impact Analysis of Green Building Materials in Facade Engineering

This study provides a holistic analysis of the economic and environmental impacts of green building materials, with a particular focus on facade engineering. Utilizing computer technology and project management methodologies, the research investigates a variety of sustainable materials used in facade construction, comparing their cost-effectiveness, energy efficiency, and environmental footprint. The findings contribute to a better understanding of the trade-offs and synergies between economic feasibility and environmental sustainability in green facade design. This research could aid decision-making in the construction industry, promoting a broader adoption of green building materials in facade engineering.

COMPUTER LITERACY AND ACADEMIC PERFORMANCE IN UNIVERSITIES OF SOUTHERN KHYBER PAKHTUNKHWA PAKISTAN

Computer literacy is ability to understand & utilize computer technologies. After COVID-19 pandemic the role of computer technologies immensely increased. Findings from the recent research suggest that computer literacy can positively affect the academic performance of students. However, most of such research has been conducted in the western countries with less studies in Pakistan, keeping this in view this study has examined dynamic linkages amid computer literacy and academic performance in universities of southern Khyber Pakhtunkhwa Pakistan. For this purpose, a web-based survey was conducted among the students in three universities. Data was analysed by descriptive and inferential statistics. Data analyses revealed a positive link between computer literacy and academic performance. Based on such findings this study suggests positive linking between the computer literacy and academic performance in Pakistan. The results offered valuable information in reaching the desired conclusion. In this connection, tt is thus recommended that further research is needed to fully comprehend the nature of the linkages amid computer literacy and academic performance in Pakistan.

Automatic Essay Scoring Method Based on Multi-Scale Features

Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers in scoring. Traditional AES techniques only focus on shallow linguistic features based on the grading criteria, ignoring the influence of deep semantic features. The AES model based on deep neural networks (DNN) can eliminate the need for feature engineering and achieve better accuracy. In addition, the DNN-AES model combining different scales of essays has recently achieved excellent results. However, it has the following problems: (1) It mainly extracts sentence-scale features manually and cannot be fine-tuned for specific tasks. (2) It does not consider the shallow linguistic features that the DNN-AES cannot extract. (3) It does not contain the relevance between the essay and the corresponding prompt. To solve these problems, we propose an AES method based on multi-scale features. Specifically, we utilize Sentence-BERT (SBERT) to vectorize sentences and connect them to the DNN-AES model. Furthermore, the typical shallow linguistic features and prompt-related features are integrated into the distributed features of the essay. The experimental results show that the Quadratic Weighted Kappa of our proposed method on the Kaggle ASAP competition dataset reaches 79.3%, verifying the efficacy of the extended method in the AES task.

Implementasi Algoritma Brute Force Pada Sistem Pertanahan di Balai Desa

Development epoch in era globalization like current information systems utilizing computer technology which is very sophisticated and modern will facilitate data processing which can save time and cost. Result information obtained will facilitate data processing which can save or agencies that utilize artificial intelligence humans or is often called artificial intelligence (AI). Processing data and information fast and efficiently are important things which are needed by an agency, one is office hall village. Processing or archiving books C or Letter C this village still uses manual methods with recording or writing data at books archives villages and views reworked sequence number parcel book C or Letter C previous: to record numbers on owners of old land and owner new land. The way is certainly not efficient because it will require a lot of books and take a lot of time to record data on ownership of land. Objective of this study i.e. implement algorithm brute force to facilitate the search owners land previous on archive electronic. Method development on a system which is used in research is a brute force algorithm in searching for land data, string matching is a part of the string search process. The resulting land data is very dependent on the technique or algorithm carried out in matching the string. In this study, the algorithm used in string matching is brute force. This algorithm performs matching strings with shifts one by one patterns and adjusts them to text so that between Pattern and Text have patterns which are equal. Results analysis of studies This is in the form of trials trial matching strings-with algorithms brute force with studies case using search or search engine with programming language PHP to matching strings.

Belangkas Robot As An Effort To Improve Calistung Ability In Early Children

Education in the 4.0 era requires the education sector to be able to compete and utilize computer technology, which is currently developing rapidly as an interesting and interactive learning tool or media for children and to increase children's interest in learning. The first problem that came to the attention of the implementing team was that it was difficult for children to concentrate while studying, and children who entered elementary school without attending kindergarten still had difficulties in the processes of reading, writing, and arithmetic (Calistung), which of course would have an impact on children's delays in understanding learning material. The second problem is that the online teaching and learning process that was carried out previously was not effective in encouraging children's understanding of a lesson because it was difficult for children to focus on the learning being given. The third problem is that children are often exposed to gadgets that will have a negative impact on their gross and fine motor development. The duration of long and frequent use will lead to addiction to gadgets, the child's development will become less than optimal, and the child's emotions will be out of control and trigger early stress. The fourth problem is the absence of interactive learning media in partner schools that can increase children's interest in learning. The output target to overcome the existing problems will be interactive learning media in the form of a robot named BELANGKAS Robot (Concise Learning). The purpose of this research is to develop an alternative learning medium for children using robots by inviting children to collaborate and compiling a series of instructions for the robot to carry out a learning activity (an introduction to numbers, letters, and pictures) that leads to sharpening children's logical thinking and attracting children's interest in learning. reading, writing, and arithmetic. From the results of the research that has been done, the BELANGKAS robot is proven to be able to attract children's learning interest, and of course this interest will improve children's learning abilities, especially CALISTUNG.

Socialization of work base learning-based industrial practice platforms for students, vocational teachers, and industrial partners

This community service has a goal, including providing information for students, industry, and academics about the use of work-based learning-based industrial practice platforms. This service uses a structured method, starting with a theory about computer technology, followed by direct practice by the presenters with the concept of direct practice to teach community service participants. The socialization material starts with the explanation of the platform flow and the functions of each feature. The results of this socialization received quite a positive response, Utilization of computer technology with the creation of a work base learning-based industrial practice platform is very helpful in providing administrative management for the independent learning internship program at the independent campus. This community service in the form of socialization received good and positive responses, especially in the design of a work-based learning-based industrial practice platform, which got a score of 3.9, which means that they are very satisfied with the work-based learning platform.

FRONT-END DEVELOPMENT OF WEB-BASED E-MAIL MANAGEMENT SYSTEM IN TELKOM ACCESS KEDATON BANDAR LAMPUNG

The development of information has penetrated into the digital realm, by utilizing computer technology as an information technology tool in an organization or company will provide added value to the data processing process. The process of data processing in the form of incoming and outgoing letters at PT. Telkom Access is still done conventionally as well as manual archiving, with higher correspondence intensity and demands for speed and punctuality. In this study, we will develop a website-based e-mail management system display using the CodeIgniter3 framework and Bootstrap with the scrum methodology. It is hoped that by developing the appearance of the system, it can make it easier and more comfortable for users to use the system.

Aspects Influencing Computer-technology Adoption in Secondary- school Physics Instruction in Jordan

Abstract: This survey researched the aspects that inspire secondary-school physics teachers to utilize computer technology in instruction and learning in four areas of the Hashemite Kingdom of Jordan. To assess the research question, the survey used a quantitative review research strategy utilizing a survey questionnaire comprising of 25 Likert-type scale inquiries to determine physics teachers' perspectives toward utilizing computer technology in physics lesson preparation and delivery techniques. In opposition to what might be anticipated, the results encountered several factors that were not indicators of statistical significance of physics teachers' employment of computer technology in instructing physics: gender; academic degree; school location; normal class size; ways of acquiring technology skills, for example, self-taught and computer courses; instructional style; perceived barriers; and availability of technology resources. The findings verify the expectation that the lack of ICT tools in the Jordanian high-school physics curriculum has an impact on teachers’ job satisfaction, physics lesson preparation and delivery techniques and Tawjihi students' individual learning styles. Keywords: ICT, ICT-driven classroom, Rogers' diffusion of innovation theory.

Penerapan Metode Dempster Shafer Untuk Diagnosa Penyakit Batu Karang

Rocks or urinary tract stones are small and hard deposits that form in the kidneys, urinary tract and often cause pain when urinating, due to lack of public knowledge about the problem of coral disease, and to find out about this situation, people usually do an examination at the home. Sick or Doctor. However, not everyone can do this, this can be due to insufficient economic factors or long distances to visit the doctor, there are also weaknesses in the limited working hours of the doctor's practice. Therefore, innovations and solutions are needed in these conditions, namely by utilizing computer technology to build an expert system that has the ability as a doctor in making diagnoses. This study aims to create an expert system analysis with the Dempster Shafer method that can help doctors and physician assistants, or the general public in diagnosing coral stone disease. The results of this study indicate that with the analysis of the Dempster Shafer method, more optimal and accurate diagnostic results related to coral disease are available to the general public and can assist in the examination of coral disease.

Brain Tumor Segmentation From Multimodal MRI Data Based on GLCM and SVM Classifier

The segmentation of MRI brain tumors utilizes computer technology to segment and label tumors and normal tissues automatically on multimodal brain images, which plays an important role in disease diagnosis, treatment planning, and surgical navigation. We propose a solution using gray-level co-occurrence matrix (GLCM) texture and an ensemble Support Vector Machine (SVM) structure.This manuscript per the authors focus on the effects of GLCM texture on brain tumor segmentation. The result is different from the application of the GLCM texture in other types of image processing.The experimental material was a dataset called BraTs2015. The segmented five different labels are normal brain, necrosis, edema, non-enhancing tumor, and enhancing tumor. The proposed model was verified with the Dice coefficient. The result demonstrated that this method has a better capacity and higher segmentation accuracy with a low computation cost.

DESIGN-EXPERT SOFTWARE (DOE): AN APPLICATION TOOL FOR OPTIMIZATION IN PHARMACEUTICAL PREPARATIONS FORMULATION

Formulation is a crucial stage in drug development since it determines the best formula. The quality of the preparation is good and fulfills the standard parameters when using the best formula. This stage is completed through laboratory experiments that take a long time to complete. To address this, software utilizing computer technology, such as software Design Expert, can be used. The goal of this investigation is to see how Design Expert is used in research formulation and optimization. The method of writing a review was carried out by searching Google Scholar and Science Direct with the keywords "Formulation" and "Design Expert," yielding 63 articles, which were then screened using inclusion criteria, notably field of research on formulation optimization accepted for publication between 2011 and April 2020, and exclusion in the form of review articles. The review's findings suggest that the platform is widely utilized and effective at reducing the number of trials, time, and costs associated with formulation development.

Research on controllable deep learning of multi-channel image coding technology in Ferrographic Image fault classification

Utilizing computer technology to realize ferrographic analysis and intelligent fault diagnosis technology is fundamental research to ensure the normal operation of precision, complex and severe marine mechanical equipment. This work is focused on the issues that affect the feature extraction and accuracy of the computer model, such as fuzzy edge and complex surface texture of wear particle image in ferrographic image. This research creatively establishes a new multi-channel image encoder, which artificially encodes the information of the original ferrographic image. The new encoding image includes the original channel information, artificial edge enhancement information, and artificial surface enhancement information, to improve the edge and surface features of the image. The encoder can not only improve the visible edge and surface characteristics of the picture but also form the MCECNN model after connecting to the convolutional neural network. The model can successfully improve the accuracy, convergence speed, generalization, and controllability of the model, to solve the problem of online intelligent recognition in the field of ferrography to the greatest extent.