Web Users Research Articles

The development of E-Equation Easy System (3E System)

E-Equation Easy System (3E System) is a web-based system created to solve simultaneous equation calculations using the Matrix method (Cramer Rule Method) which is faster and easier as an alternative to manual calculation methods. This application will be able to be used by lecturers and students but the level and form of access are different to control the security of questions. This innovation project targets the following two objectives which are the first; to help lecturers in facilitating the preparation of theory and practical questions for students, and secondly, to reduce the calculation time required in providing accurate answers. In terms of the functionality of this innovation project, 3E System has been able to be used by students through an open user module and by lecturers through a registered user module. This application is also able to meet the calculation of solutions for two types of simultaneous equations, namely two variables and three variables, and it makes it easier for lecturers to get answer schemes and create simultaneous equation questions by just entering the values of the variables. The use of this application has indeed been able to help in solving the problems faced by lecturers in the implementation of the teaching and learning process. 3E system was developed using PHP as a chosen scripting language, MySQL as a database, Bootstrap as an open-source web user interface, Javascript and Cascading Style Sheets (CSS) are also attached with them. This system has also successfully gone through the testing phase and can be used online safely. This responsive system, can be accessible using a desktop or mobile phone, helps access from all over the world and can collect feedback from users regarding the level of satisfaction with the use of the system.

WEB CLOUD WEB-BASED CLOUD STORAGE FOR SECURE DATA SHARING ACROSS PLATFORMS

With more and more data moving to the cloud, privacy of user data have raised great concerns. Client-side encryption/decryption seems to be an attractive solution to protect data security, however, the existing solutions encountered three major challenges: low security due to encryption with low-entropy PIN, inconvenient data sharing with traditional encryption algorithms, and poor usability with dedicated software/plugins that require certain types of terminals. This work designs and implements WebCloud, a practical browser-side encryption solution, leveraging modern Web technologies. It solves all the above three problems while achieves several additional remarkable features: robust and immediate user revocation, fast data processing with offline encryption and outsourced decryption. Notably, our solution works on any device equipped with a Web user agent, including Web browsers, mobile and PC applications. We implement WebCloud based on ownCloud for basic file management utility, and utilize WebAssembly and Web Cryptography API for complex cryptographic operations integration. Finally, comprehensive experiments are conducted with many well-known browsers, Android and PC applications, which indicates that WebCloud is cross-platform and efficient. As an interesting by-product, the design of WebCloud naturally embodies a dedicated and practical ciphertext-policy attribute-based key encapsulation mechanism (CP-ABKEM) scheme, which can be useful in other applications.

Exploration of new media operation and brand promotion strategy in the era of artificial intelligence

Abstract This paper proposes a new evaluation model for the current situation and challenges of further media communication of enterprise brands through diversified publicity. A comprehensive evaluation model based on AHP-EWM-TOPSIS is constructed by establishing an evaluation index system for the effect of new media operation and publicity, and preprocessing the indexes with the polar deviation method, combining the hierarchical analysis method and entropy value method for weight assignment. Through practical application to the evaluation of M Company’s publicity strategy, it is found that most employees evaluate the current strategy as average or poor, and the investment in new media operation cost is low. In addition, gender has no significant effect on the use of new media platforms, but the user web video usage rate has reached 90%. Therefore, it is recommended that enterprises adopt scientific and practical theoretical models such as the funnel propaganda model proposed in the paper to improve the efficiency of new media operation and brand communication effect, and promote the development of enterprises.

Examining the Wiki Experience: EFL Students' Perspectives on Online Collaborative Writing

In recent years, there has been a considerable growth in the usage of Web 2.0 technologies by a bigger user base, such as wikis, blogs, and podcasts. This tendency has resulted in significant breakthroughs in the field of English language instruction, particularly for students learning English as a foreign language. The major goal of this study was to determine the extent to which learners gain from a specific type of writing practice including peer-correction via wikis. According to the preliminary data, learners not only improve their writing skills, but also grow their social skills. This is accomplished by mutual support and coaching among students during the writing process, which results in an improvement in metacognitive methods and overall writing performance. The study concludes with a discussion of the implications of the results and provides recommendations for further research.

Data-Driven Exploration of Web Browsing Habits: A Visual Analysis with BHVis

Browsing history is an eminent tool for internet users to keep track of the daily and specially visited webpages without bookmarking them. Traditional history tools have become insufficient to satisfy their purpose of addressing complex browsing patterns. Graphical interfaces are the critical solutions for these complexities. Therefore, visualising the browsing histories interactively can be helpful in this case. There are many built-in basic visualisation browsing icons for the ease of the users in different browsers, which help the user quickly access the visited pages. But these tools lack in-depth analysis of users' browsing habits. In this study, we propose a novel approach for visualising the browsing history data and browsing habits of the user. We named this system BHVis (Browsing Habits Visualisation), which visualises the user’s web page visits using different visualisation methods and visual representations to make the browsing habits of the users explicable. The main contribution of this system is to enable users to gain insight into their browsing patterns and enable self-analysis and self-improvement. The system is evaluated based on different case studies. The study shows that this system enables users to gain insights into their web usage and monitor their web browsing habits.

Information Quality, Social Friendship and Social Interaction in Predicting Web Usage and Online News Readers’ Understanding

Information Quality, Social Friendship and Social Interaction in Predicting Web Usage and Online News Readers’ Understanding

Analisis Kepuasan Pengguna WhatsApp Web Menggunakan Metode Webqual 4.0 dan IPA

Social media has become a lifestyle that cannot be ignored in recent times. One of the most frequently used online communication tools today is WhatsApp, which was created in 2009 by Jan Koum. In Indonesia, this application is used by all groups ranging from young and old, students to workers / employees who indirectly WhatsApp is a social media that has many advantages to become quite important in everyday life in society. The emergence of WhatsApp Web is a technology that gives its users the freedom to use more than one device, so that it can attract more users to use it. With so many users, researchers want to know how user satisfaction from this website regarding its usability, appearance, and service quality. Of course, to analyze the research, several methods are needed so that the analysis can run well. This research integrates the WebQual 4.0 and Importance Performance Analysis methods as a data analysis process. Researchers also used a questionnaire as a way to collect data from WhatsApp Web users, the questionnaire consisted of 23 questions with two indicators of expectations and performance. The results of this study are that there is a good influence from Usability Quality and Services Interaction Quality on user satisfaction and another case with Information Quality which has no effect. The recommendation for users is that WhatsApp Web cannot be accessed via a browser on a PC or laptop, it is possible that there is a VPN (Virtual Private Network) application, this application must be deactivated first.

The Use of Social Media Platforms for Competitive Information and Knowledge Sharing and Its Effect on SMEs’ Profitability and Growth through Innovation

Traditionally, corporations obtain competitive information via marketing reports, trade journals, newspapers, and competitors’ websites. That information was secondary and limited. With the widespread usage of Web 2.0 technologies, social media platforms (SMPs) are used by micro, small, and medium-sized enterprises (SMEs) to search for information about their customers, competitors, and markets. SMEs are the engine of economic growth and effective solution to poverty and unemployment. There is also a growing use of SMPs to facilitate knowledge sharing, which leads to developing new ideas and sharing new knowledge, boosting creativity and efficiency, and assisting in achieving goals. This study aims to examine the effect of those uses of SMPs on Saudi SMEs’ performance growth and profitability through innovation. To evaluate 220 valid online questionnaire responses, we used SmartPLS 4 through a PLS-based structural equation model. The results show the positive direct effect of using SMPs for customer information and knowledge sharing on SME innovation in emerging economies and the indirect effect of those uses on SME performance growth and profitability. As a result, Saudi SME decision makers are advised to improve their effectiveness in using SMPs to acquire customer information and use it for knowledge sharing because those uses will positively influence innovation and increase SME growth and profitability.

Influences of displaying permission-related information on web single sign-on login decisions

Web users are increasingly presented with multiple login options, including password-based login and common web single sign-on (SSO) login options such as “Login with Google” and “Login with Facebook”. There has been little focus in previous studies on how users choose from a list of login options and how to better inform users about privacy issues in web SSO systems. In this paper, we conducted a 200-participant study to understand factors that influence participants' login decisions, and how they are affected by displaying permission differences across login options; permissions in SSO result in release of user personal information to third-party web sites through SSO identity providers. We compare and report on login decisions made by participants before and after viewing permission-related information, examine self-reported responses for reasons related to their login decisions, and report on the factors that motivated their choices. We find that usability preferences and inertia (habituation) were among the dominant factors influencing login decisions. After participants viewed permission-related information, many prioritised privacy over other factors, changing their login decisions to more privacy-friendly alternatives. Displaying permission-related information also influenced some participants to make tradeoffs between privacy and usability preferences.

Determining Urdu News Type from Headline Text Using Deep Learning

In recent years, the volume of data of regional languages available on the Internet has grown significantly. It helps people to express themselves by removing linguistic boundaries. Moreover, the accessibility of news articles on the web provides billions of web users with a source of knowledge. This research offers a classification model for categorizing Urdu news headlines text with deep learning (DL) techniques and different word vector embeddings. To improve the efficacy of various Urdu natural language processing (NLP) applications, this study included two neural word embeddings built by utilizing the most widely used approaches, namely Word2vec and pre-trained fastText. Both intrinsic and extrinsic evaluation methods were used to examine the integrity of the created neural word embeddings. The study employed a vast, fresh corpus of Urdu text containing 153,050 headlines categorized into 8 different classes. Then, text pre-processing techniques and two DL models, namely the Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM) were applied. The results were compared based on embeddings. It was found that when a pre-trained fastText embedding was utilized, BiLSTM surpassed other DL models with an accuracy of 93.93%, precision of 93.86%, recall of 93.93%, and F1 score of 93.89%.

Evaluasi Sistem ATR/BPN Berbasis Webuse dan Heuristic Evaluation

The Ministry of Agrarian Spatial Planning/National Land Agency (ATR/BPN) provides services that aim to facilitate the public in managing the legality of land services online, which can be accessed anywhere with the aim of providing convenience and security to the public in conducting service transactions as an effort to increase the ease of doing business, but the benefits of this website have not been measured for the usability of the website effectively and efficiently. Therefore, this research was conducted with the aim of evaluating and assessing the appearance of the interface with the Heuristic Evaluation method and the Web Usability Evaluation Tool (WEBUSE) and measuring display development. ATR/BPN website to help the community. The research method uses the Web Usability Evaluation Tool (WEBUSE) in the form of a questionnaire and then evaluates it using Heuristic Evaluation. The research that has been carried out has produced findings that show the ATR/BPN Website has a level that is good enough to be used by Notary/PPAT employees and the community. From the usability test, it shows that the quality attribute can be said to be of high value. The conclusion of the study shows that each category of WEBUSE Evaluation has a usability value of 0.69 points, which indicates the usability level is at a good level while the lowest value is in the visibility of system status (feedback) variable (H1 of 61.02%) according to the usability level at the Moderate. This means it's not working properly. And the Savery Rating is 1.3119 when rounded up to 1 category of cosmetic problem that takes time to fix.

Spectral clustering algorithm based web mining and quadratic support vector machine for learning style prediction in E-learning platform

A learning system, which is composed of a computer and the internet as the major elements, is termed an e-learning platform. It also promotes the education standard with the utilization of modern technology and equipment. Meanwhile, to enhance the standard of education significantly, it is important to predict the learning style of the users with the assistants of feedback and supervision. Nevertheless, it will avert the inherent correlation among e-learning behaviors. Hence, to predict the learning style automatically we propose a novel Spectral Clustering algorithm based Quadratic Support Vector Machine (E-SVM) approach. Our proposed approach employs two phases: (i) Utilizing the Web usage mining approach the learning secrets are extracted from the log files of learners. (ii) The classification of learning styles of learners is effectuated with the proposed approach. Experiments are demonstrated with Python package and analyzed the performance. For simulation, we have utilized real-time dataset and compared the results with the state-of-art approaches. Our approach surpasses all the other approaches.

Using semantic story maps to describe a territory beyond its map

The paper presents the Story Map Building and Visualizing Tool (SMBVT) that allows users to create story maps within a collaborative environment and a usable Web interface. It is entirely open-source and published as a free-to-use solution. It uses Semantic Web technologies in the back-end system to represent stories through a reference ontology for representing narratives. It builds up a user-shared semantic knowledge base that automatically interconnects all stories and seamlessly enables collaborative story building. Finally, it operates within an Open-Science oriented e-Infrastructure, which enables data and information sharing within communities of narrators, and adds multi-tenancy, multi-user, security, and access-control facilities. SMBVT represents narratives as a network of spatiotemporal events related by semantic relations and standardizes the event descriptions by assigning internationalized resource identifiers (IRIs) to the event components, i.e., the entities that take part in the event (e.g., persons, objects, places, concepts). The tool automatically saves the collected knowledge as a Web Ontology Language (OWL) graph and openly publishes it as Linked Open Data. This feature allows connecting the story events to other knowledge bases. To evaluate and demonstrate our tool, we used it to describe the Apuan Alps territory in Tuscany (Italy). Based on a user-test evaluation, we assessed the tool’s effectiveness at building story maps and the ability of the produced story to describe the territory beyond the map.

Online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP): an infodemiology study

Backgrounds: Previous studies have indicated that users’ health information-seeking behavior can serve as a reflection of current health issues within a community. This study aimed to investigate the online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP).MethodsGoogle Trends (GTr) was utilized to collect big data from the internet searches conducted by Iranian web users. A focus group discussion was employed to identify users’ selected keywords when searching for HSP. Additionally, keywords related to the disease’s symptoms were selected based on recent clinical studies. All keywords were queried in GTr from January 1, 2012 to October 30, 2022. The outputs were saved in an Excel format and analyzed using SPSS.ResultsThe highest and lowest search rates of HSP were recorded in winter and summer, respectively. There was a significant positive correlation between HSP search rates and the terms “joint pain” (P = 0.007), “vomiting” (P = 0.032), “hands and feet swelling” (P = 0.041) and “seizure” (P < 0.001).ConclusionThe findings were in accordance with clinical facts about HSP, such as its seasonal pattern and accompanying symptoms. It appears that the information-seeking behavior of Iranian users regarding HSP can provide valuable insights into the outbreak of this disease in Iran.

The dark web privacy dilemma: linguistic diversity, talkativeness, and user engagement on the cryptomarket forums

The users of the Dark Web require a secure and highly anonymous environment to exchange information while protecting their online privacy, which presents a privacy dilemma. This paper examines the digital footprints of user behavior on the three most popular cryptomarket forums on the Dark Web, namely Silk Road 1, Silk Road 2, and Agora. The results indicate that users who engage in more conversations and employ a wider range of vocabulary are more likely to discontinue their participation on the forum. Intriguingly, no significant relationship is found between network characteristics and user engagement. These findings emphasize that the risk of exposure within anonymous communities primarily stems from the potency of information rather than social connections, which sheds light on the privacy dilemma inherent in the Dark Web and provides deeper insights into the online user behavior surrounding anonymity-granting technologies on the Internet.

Complex Real-Time Human Resources Scheduling with Web User Interface Using Prioritizing Algorithms

The Institute of Child Development (ICD) at Binghamton University is uniquely complex in its staffing requirements. By offering extensive and personalized services to children with autism spectrum disorder, the ICD must ensure the correct number of properly trained staff are assigned throughout every school day to best serve each student. Since a broad range of human services professionals and paraprofessionals (e.g., psychology, special education, speech pathology, occupational therapy, etc.) all operate in one facility, each room’s accommodations must also be taken into account. Due to these restrictions, the ICD is currently struggling to complete staff scheduling in a timely manner using Microsoft Excel. The team’s main objective is to reduce the workload of this scheduling process by developing a dynamic web interface to integrate with existing related software and communication systems. By designing a more intuitive, assistive, and automated system, the team aims to significantly reduce the valuable senior staff time that could be dedicated to the many other roles they play in the success of students and their families.

Designing UI/UX For SDN 1 Sukamulya Ciamis Website Using the Five Planes and WEBUSE Methodologies

The web-based information world is currently experiencing rapid growth, encompassing interactive, dynamic, and static elements, with educational institutions being one of its prominent users. It provides swift and precise information services, contributing significantly to the fundamental development of the education sector. The school profile website from the Ministry of Education and Culture (KEMENDIKBUD) currently only provides basic profile features. Due to the lack of information and features on the website, a redesign and further development are necessary. Therefore, this research, based on interviews with relevant parties such as SDN 1 Sukamulya, calls for a redesign and development of the website. The approach taken in this redesign and development utilizes the Five Plans method. The creation of a website that aligns with user preferences, combines an attractive design, and offers an experience that meets user needs. The design and development of this website will be evaluated using the WEBUSE method. WEBUSE (Web Usability Evaluation) is a method for assessing the extent of usability based on a comprehensive usability criteria questionnaire. In the UI/UX design phase, the Five Planes method was applied, and after the design phase, the website's feasibility was assessed using the WEBUSE method. This research successfully designed a website for SDN 1 Sukamulya by applying the Five Planes method in the design process. Based on the comparison of evaluations using the WEBUSE method, the usability score of the website improved from a usability score of 0.657, falling into the "good" range (0.6 - 0.8), to a usability score of 0.829, falling into the "excellent" range (0.8 - 1). This score indicates that the website's usability level is excellent, demonstrating that the design and development efforts have successfully provided an outstanding user experience.

Designing and Implementing a Dark Mode for a Library Website

Dark mode, also known as night mode, is an alternative way of viewing content on a webpage. Rather than having dark text on a light background, dark mode displays light text on a dark background. In fall 2022, the Indiana University–Purdue University Indianapolis (IUPUI) University Library launched a dark mode as an option for web users. We present some considerations for design and implementation for those interested in adding a dark mode to their website.

Web&amp;#39;s Progression: Moving from Passive Content Consumption to Active Content Creation and Content Validation

This research paper reviews the evolution of the Web from its early phase, web 1.0, to the present state, web 3.0. The primary emphasis is placed on the shift that users have undergone, transitioning from content consumption to content creation, and now towards content validation. During the Web 1.0 era, users could only passively view static web pages. The introduction of Web 2.0 allowed users to generate and share content online. However, in the current era of Web 3.0, personalized content recommendations are offered through machine learning, which makes content validation more important. This study highlights the significance of these changes for digital media professionals, web developers, and web users, and concludes with recommendations for future research.

Design of Automated Website Phishing Detection using Sequential Mechanism of RCL Algorithm

The phishing outbreaks in internet has become a major problem in web safety in recent years. The phishers will be stealing crucial economic data regarding the web user to perform economic break-in. In order to predict phishing websites, many blacklist-based phishing website recognition methods are used in this study. Traditional methods of detecting phishing websites rely on static features and rule-based schemes, which can be evaded by attackers. Recently, Deep Learning (DL) and Machine Learning (ML) models are employed for automated website phishing detection. With this motivation, this study develops an automated website phishing detection using the sequential mechanism of RCL algorithm. The proposed model employs Long-Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Random Forest (RF) models for the detection of attacks in the URLs and webpages by the similarity measurement of the decoy contents. The proposed model involves three major components namely, RF for URL phishing detection, CNN based phishing webpage detection, and LSTM based website classification (i.e., legitimate and phishing). The experimental result analysis of the RCL technique is tested on the benchmark dataset of Alexa and PhishTank. A comprehensive comparison study highlighted that the RCL algorithm accomplishes enhanced phishing detection performance over other existing techniques in terms of distinct evaluation metrics.