Website Performance Research Articles

Evaluation of Website Performance and Usability Using GTMetrix, Usability Testing, and System Usability Scale (SUS) Methods

This study was conducted to measure the performance of IAIN Metro's website in terms of performance and user perception to ensure that the campus website can adequately support visitors' needs. This study aims to determine things that need to be improved to improve the performance of the IAIN Metro website. To get comprehensive results from the performance of the website, this research uses GTMetrix to analyse the technical performance of the IAIN Metro website, and then, to test user perceptions, researchers use Usability Testing and System Usability Scale methods. In usability testing, several aspects will be measured to determine usability problems, namely learnability and efficiency, while the System Usability Scale questionnaire will be used to test the satisfaction level. Based on the test results using GTMetrix, after testing, several aspects of the access speed of the IAIN Metro website need to be improved. Although, in general, from the test results, Usability Testing and System Usability Scale users still consider the performance of the website to be acceptable, the results of the first task on Time Based Efficiency testing show that initial access to the main page metrouniv.ac.id, takes a relatively long time compared to other tasks. This is also evident from the GTMetrix score on the performance aspect, which has a low presentation of 25%. Therefore, optimisation is needed on the main page to improve website performance.

Comparative Analysis of Government Website and Service Monitoring System Ratings among State Islamic Religious Councils (SIRCs) in Malaysia

This study explores the comparison of websites of various State Islamic Religious Councils (SIRCs) in Malaysia using the Government Website and Service Monitoring System known as SPLaSK ratings. SPLaSK, an initiative by the Malaysian government serves as a critical tool for monitoring and evaluating the performance of government websites and services. By focusing on the SIRCs, this study seeks to identify patterns, strengths, and areas for improvement in digital governance. Using qualitative content analysis and semi-structured interviews, the study analyzes SPLaSK ratings of SIRCs to understand how these councils utilize digital platforms to engage with the public, disseminate information, and provide services. Websites registered with SPLaSK are assessed based on six (6) dimensions, namely accessibility, ease of use, quality of content, privacy or security, responsiveness, and reliability. It has been disclosed that only 10 out of 14 SIRCs were registered with SPLaSK in 2023, with 40% achieving excellent ratings of above 80%. The overall scores of the websites also suggest that four (4) SIRCs have underperformed, receiving scores below 50, attributed to inefficient website management. The findings offer valuable insights into the effectiveness of SPLaSK in promoting transparency, efficiency, and user-friendliness in government digital services, thus contributing to the broader discourse on digital governance within government agencies in Malaysia

OPTIMIZATION OF CROSS-PLATFORM APPLICATIONS USING THE REACT LIBRARY

In today's world, with the growing use of mobile devices, the importance of creating cross-platform applications that provide high performance and quality of user experience has increased significantly. Improving the creation of such applications using React and React Native opens up wide opportunities for developers due to the possibility of code reuse, high development speed and ease of innovation, and is especially relevant because it concerns not only the technological aspects of development, but also economic efficiency, quality of user experience and the speed of introducing innovations to the software market. Open source and active community communication allow rapid identification and resolution of issues, development of new features and enhancements, and the sharing of knowledge and experience between developers. This creates a positive environment for innovation and growth, promotes rapid technological progress, and improves the quality of end products. The paper analyzes the key aspects and challenges associated with the creation of cross-platform applications, analyzes the main types of optimizations at different levels of development, including the component level, the state and data level, the level of working with APIs and external data, as well as the loading and code level. Special attention is paid to the integration of synchronous and asynchronous rendering to achieve optimal performance and user experience. Highlights the benefits of flexible state management using state managers, as well as the importance of image and media optimization to improve overall website performance. The article notes the role of the developer community in the process of improvement and innovation. Developers who master these technologies and optimize their application can create products that not only meet the requirements of the time, but also form new standards in the field of mobile and web development. Further research and integration of the latest technologies into the development process of cross-platform applications will have a significant impact on the software industry.

Bridging Language Barriers in COVID-19 Research: Descriptive Study of AccesoCovid.com's Reach and User Engagement.

The COVID-19 pandemic underscored the challenge of swiftly disseminating research findings to a global audience. Language barriers further exacerbated disparities in access to timely scientific information, particularly for non-English speaking communities. The majority of COVID-19 research was published in English, limiting accessibility for Spanish-speaking populations. This paper aims to assess the reach and effectiveness of AccesoCovid.com, a platform designed to disseminate up-to-date COVID-19 research in both English and Spanish, addressing the language gap in scientific communication. AccesoCovid.com was developed through a partnership between the University of California, San Francisco (UCSF) and Universidad Nacional Autónoma de México (UNAM). The website's performance and user engagement were evaluated using Google Analytics over a span of 2 years. Key metrics included user language preference, geographical distribution, and site traffic. The website summarized and translated 1032 articles on various COVID-19 topics, such as "Pharmaceutical Interventions and Vaccines." From February 2021 to February 2023, the platform attracted 57,000 users. Of the 43,000 unique new visitors, 84.2% (n=36,219) hailed from Spanish-speaking regions. The majority accessed the site organically through search engines, with 88.4% (n=38,000) of users arriving this way, while 5000 (11.6%) users accessed the site directly. Most users (n=30,894, 72.1%) preferred the Spanish version of the site. The website's most accessed category was "Pharmaceutical Interventions and Vaccines," followed by "Clinical Presentation and Management" and "Mental Health." Regarding language distribution, 72.1% (n=30,894) of users primarily used Spanish; 21.4% (n=9215) used English; and 6.7% (n=2891) spoke other languages, including Portuguese, Chinese, and German. Geographically, the website attracted visitors from 179 countries, with the highest visitor counts from Mexico (n=12,342, 28.7%), Spain (n=6405, 14.9%), the United States (n=4416, 10.3%), and Peru (n=3821, 8.9%). AccesoCovid.com successfully bridged a critical language gap in the dissemination of COVID-19 research. Its success underscores the pressing need for multilingual scientific resources. The platform demonstrated significant user engagement and reach, particularly in Spanish-speaking countries. This highlights the potential for similar platforms to ensure equitable access to scientific knowledge across diverse linguistic communities. Future efforts should focus on expanding to other languages and conducting formal evaluations to enhance user satisfaction and impact.

Green Web Meter: Structuring and Implementing a Real-Time Digital Sustainability Monitoring System

The central aim of this paper is to present the Green Web Meter software, which is designed to support the measurement of the digital ESG performance of websites and web apps, as well as providing sound-based analytic tools for improving their overall quality. In this work, we will discuss the process our research team adhered to in order to provide a basic structure to the general framework of our tool, select a consistent set of KPIs that are suitable for automated real-time tracking, and determine the proper calculation methods to compute the final scores on which the ESG assessment is based. Specifically, we began from the analysis of the UNI PdR 147 guidelines on digital sustainability, highlighting the relevance of the quality construct, and subsequently selected three quality assessment models (E-S Qual, Sitequal, and Webqual 4.0) to define the core references to structure the basic framework. Starting from this general perspective, we proceeded to define the eight related KPIs and the individual scores based on the automatic calculations.

VALIDAÇÃO DE WEBSITE PARA IMPLANTAÇÃO DO PROTOCOLO PERIOPERATÓRIO NA PROFILAXIA DE TROMBOEMBOLISMO VENOSO

Introduction: Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), is the leading cause of preventable postoperative deaths. Identifying risk factors based on Virchow’s Triad (blood stasis, hypercoagulability, and endothelial injury) is crucial. Approximately 20% of surgical patients develop VTE, with 7% resulting in fatal PE. The Caprini risk score, used to assess VTE risk, is complex and has limited adherence despite its validation across various specialties. Methodology: The applied research developed the application of a perioperative protocol for VTE prophylaxis in the Vascular Surgery ward of the Hospital Municipal de Marabá. The descriptive and quantitative study was structured via website. The 2013 version of the Caprini score was adopted for risk stratification. Validation of the tool involved 16 experts with inclusion criteria focused on doctors and nurses with experience in the area, where everyone responded to the Likert scale that evaluated 2 major domains of the tool: usability and functionality. Results: Among the 16 evaluators, 56,3% were male and 43,8% female, with an average age of 32,4 years and 7,6 years of experience. The system’s functionality received 97,5% approval, 96,3% of reliability, and 91,3% regarding interface and usability. The utility was well-rated, with 98,8% approving the professional facilitation. Chi-square tests indicated that functionality perception did not vary between physicians and nurses, but utility was significantly influenced by profession. Cronbach’s alpha coefficients indicated high internal consistency: 0,85 for functionality and 0,77 for utility. Discussion: The diverse profiles of the evaluators enriched the website’s validation. Functionality was consistently positively rated, while utility varied by professional role. High internal consistency suggests that the questionnaire is reliable for measuring website performance perceptions. Conclusion: The inclusion of the Caprini protocol in the Tupan Health website demonstrated good performance and high reliability among professionals, facilitating protocol adherence and the prevention of perioperative complications.

The Impact of AI on Web Development

Artificial Intelligence (AI) has revolutionized many fields, with web development being a notable example. This paper explores the transformative impact of AI technologies on web development, examining how AI tools enhance design, streamline coding, and improve user experiences. We analyse the application of AI in automating repetitive tasks, personalizing content, and optimizing website performance. The study utilizes a review of current literature and case studies to highlight key advancements and emerging trends. Our findings suggest that AI not only accelerates development processes but also introduces new paradigms for creating dynamic and adaptive web applications. This paper concludes by discussing the implications of AI advancements for the future of web development and potential areas for further research.

Performance Analysis of an E-commerce Website Using Distributed Servers (Case Study: Ecommerce Bumdes Sarining Kukuh Winangun)

Digital transformation has significantly altered our interactions by leveraging the internet for fast global information exchange and collaboration. This shift impacts businesses, individuals, organizations, and governments by increasing the demand for fast, reliable web services. To meet these demands, many organizations are turning to distributed server infrastructures, which help handle large storage needs and avoid performance issues. This research focuses on creating a distributed web server system that uses Round-Robin load balancing to evenly distribute traffic and enhance performance. The Round-Robin algorithm’s simplicity and effectiveness in balancing loads, combined with the advantages of virtualization, such as cost efficiency, improved performance, and better resource management are central to this approach. Virtualization also offers improved scalability, accuracy, and security, further enhancing overall system efficiency and effectiveness in data centers. This research evaluates and contrasts the performance of websites utilizing distributed servers against those using single servers. The findings indicate that websites with distributed servers significantly outperform those with single servers. Specifically, distributed servers offer response times that are 5.8 times faster, achieve 2.2 times more successful responses, and transfer 2.1 times more data than single servers. Additionally, single servers experience a much higher rate of timeouts, with 14.2 times more occurrences compared to distributed servers.

Optimizing Web Performance with Python: A Practical Approach

In this paper, we're diving into Website Performance Analysis, where we'll explore how to evaluate different aspects of a website's performance. This includes things like how well the site functions, how engaged users are, and whether it's meeting its business goals effectively. Understanding these metrics is super important because they directly affect how happy users are, how many turn them into customers, and ultimately, how successful and reputable a business becomes. So, if you're curious about how to dig into website performance, this article is perfect for you. We'll walk you through the process using Python, from understanding the critical metrics to using Python tools to analyze them. It's like a roadmap to making your website the best it can be in the digital world, all with the help of Python. In this article, we'll show you how to dive into Website Performance Analysis using Python, step by step.

The Psychology in Tech Tactics: Basis for E-Commerce Website Development

This study investigates e-commerce user preferences, revealing key insights that can inform website development and strategy. The findings indicate a predominant user base in the 18-34 age range, with a slightly higher representation of females. Understanding these socio-demographic characteristics is crucial for targeted marketing and design. The psychological impact on user preferences underscores the significance of aesthetics. Users value intuitive layouts, appealing color schemes, and well-chosen fonts. Mobile optimization and fast website performance are essential for user satisfaction, highlighting the importance of responsive design and quick loading times in the mobile era. The study also delves into the profitability of e-commerce, emphasizing the role of data-driven marketing, pricing optimization, and customer feedback management. These factors can significantly impact a business's bottom line. This research provides actionable recommendations for e-commerce businesses. By focusing on intuitive design, mobile optimization, and data-driven strategies, businesses can create more appealing and profitable online shopping experiences.

Photography portfolio Website

Abstract— The V2S2photography website stands as a pinnacle of excellence in Indian wedding photography, showcasing an extensive array of services tailored to capture the intricate beauty and cultural richness of matrimonial celebrations. From the enchanting moments of engagement ceremonies to the breathtaking landscapes of pre-wedding shoots, and from the grandeur of wedding festivities to the cinematic storytelling of short films, V2S2photography epitomizes creativity, professionalism, and artistry. This research paper delves into the multifaceted role of the V2S2photography website, examining its impact on client perception, brand positioning, and business success. Through an in-depth analysis of user behavior, feedback, and conversion metrics, the study aims to uncover actionable insights for optimizing website performance and enhancing the overall client experience. Keywords: Indian wedding photography, V2S2photography, website development, client interaction, brand positioning, user experience, engagement ceremonies, pre-wedding shoots, wedding festivities, short films, cultural richness, matrimonial celebrations.

Performance measurement implementation on the smart fisheries village website using pagespeed insight

Websites have become the primary way organizations and individuals to communicate, provide information, and offer daily services. The purpose of creating the Smart Fisheries Village (SFV) website was to enhance the performance and quality of the user experience by measuring and optimizing image sizes using Google's tools, specifically Google PageSpeed Insight. We monitored and analyzed the implementation performance to ensure faster loading times without compromising visual quality. The implementation results showed significant improvements in the SFV loading speed, leading to a more satisfactory user experience. To identify images that slow website loading, we used data from PageSpeed Insight. After implementing improvements, we distributed a questionnaire to users to evaluate the development results. The results of the questionnaire revealed a significant increase in user satisfaction with the loading speed and quality of the user experience of the Bangsring Smart Fisheries Village (SFV) website. These findings provide valuable information for the continued development and optimization of website performance in the future. Therefore, this research makes a valuable contribution to improving the performance and user experience of the Bangsring Smart Fisheries Village (SFV) website.

The Implementation of PWA (Progressive Web App) Technology in Enhancing Website Performance & Mobile Accessibility

The implementation of PWA as a necessary feature aims to provide added value and enhance website performance. This is intended to address several common issues in websites, such as limitations in displaying pages offline and the cost of developing native applications across various operating system platforms, both for desktop and mobile devices. Data collection methods involve literature studies and direct measurements using various tools. Testing conducted includes installation testing, evaluation of PWA criteria, performance, size of transferred resources, and offline mode. Components used in PWA include the web app manifest, service worker, and cache storage. PWA implementation involves creating a web app manifest, service worker registration, service worker configuration, adding script tags, creating specific routes within the website using Express.js, and PWA testing. Test results indicate that the website can be installed and used effectively on various types of devices, both mobile and desktop, and can be accessed in offline mode or with unstable connections.

A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management

The central emphasis of human resource management resides in the precise delineation of job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and discerningly electing the most qualified individual from the pool whose qualifications align with the job description. The selection of a well-suited candidate is dependent on the creation of an appropriate candidate pool. Digital platforms are preferred over traditional approaches to reach human resources. The main objective of this research is to identify the most suitable digital platform for posting job advertisements based on website performance. The multiple-attribute group decision-making approach is adopted in this research, considering both qualitative and quantitative criteria. A decision support system for website selection is developed, where expert importance levels are calculated based on picture fuzzy sets (PFS). The weight levels of criteria are determined using the introduced PFS-based criteria importance assessment (CIMAS) method. The ranking of websites is calculated using the proposed PFS-based alternative ranking technique based on adaptive standardized intervals (ARTASI) method. These methods are hybridized into the PFS-CIMAS-ARTASI model. Additionally, an algorithm for this hybrid model is developed. A case study is conducted to demonstrate the applicability of the PFS-CIMAS-ARTASI hybrid model for website performance calculations. Robustness tests based on various sensitivity analysis scenarios are performed. The research results indicate that PFS-CIMAS-ARTASI is both applicable and robust. Comprehensive managerial implications are presented and elaborated on.

Invisible Labor, Visible Impact: A Comprehensive Study on the Role and Treatment of Domestic Maids.

Abstract: Through this platform we enhance the efficiency of hiring processes, offering users a transparent and accessible interface for finding and managing reliable maid services. Through a detailed examination of the website's functionality and user experience, through this assesses its contribution to simplifying the traditionally complex task of hiring domestic help. The study delves into the platform's role in fostering transparency, trust, and convenience, ultimately contributing to improved customer satisfaction and increased employment opportunities for domestic workers. Through an analysis of user feedback and website performance metrics, this research provides insights into the broader implications of such platforms in reshaping the dynamics of domestic service provision in contemporary contexts. This website not only prioritizes user-friendliness but also emphasizes being pocket-friendly for consumers. HOW? Here we break drown the hiring process Users can select specific tasks and timeframes, customizing the payment structure based on the work they require. We can establish a timeframe and work schedule for the position we are hiring for. We can establish a timeframe and work schedule for the position we are hiring for. This will ensure clarity and efficiency in our operations, allowing us to effectively manage tasks and save time to get the other opportunities for workers. By setting specific timeframes, we can enhance productivity and ensure that possibilities to get work efficiently. We carefully choose the tasks we hire for, ensuring we pay accordingly and avoid unnecessary expenses. We prioritize selecting tasks for which we are hiring, ensuring that we pay commensurately and avoid unnecessary expenditures. This approach allows us to maintain fiscal responsibility while efficiently allocating resources to essential projects

Analyzing User Satisfaction of a Study Abroad Guidance Company Website Using the Customer Satisfaction Index (CSI) Method

XYZ is an education technology company dedicated to assisting Indonesian students in gaining acceptance to universities worldwide through full scholarship, partial, or self-funding. Until 2024, XYZ has a thousand alumni accepted in 46 countries and many universities worldwide. One of the marketing trackers that XYZ has is the website. With this website, the company will deliver the service to customers and receive user feedback to run and improve their services. The measurement of user satisfaction level can be used to improve the quality of service in digital media. The method used in this study to measure user satisfaction level is the Customer Satisfaction Index (CSI), which evaluates satisfaction across five (5) dimensions: usability, information quality, assurance, reliability, and data accessibility. This method's result shows a value of 83.64%, which means the XYZ website performance is in the "Very Satisfied" category. These findings suggest that XYZ Company's website is highly effective and has a "Very Satisfied" result category in meeting user needs, paving the way for continued success in their mission to assist Indonesian students in pursuing global education opportunities

IDENTIFYING AND FIXING UX-FRICTION EMPLOYEE DEVELOPMENT WEBSITE WITH MIXED APPROACH HEART FRAMEWORK AND USABILITY TESTING

The company website has an important role in the business processes that occur in the company, one of which is managing employee productivity. PT.XYZ utilizes the Kaizen website to improve the quality of its employees. Assessment of user experience while operating the website can be a form of evaluation between expectations and actual conditions related to website feasibility. In this study, the researcher intends to find out what indicators are obstacles in the operation of a web-based application called the Kaizen website at PT.XYZ so that there is inefficiency in its use. This research involved 54 respondents who were employees of PT.XYZ. The combination of HEART and Usability Testing methods is used to identify obstacles experienced by users and evaluate user experience when using the Kaizen website. The results of the analysis are then used to improve website performance in order to create a good user experience. The results showed that the HEART score increased by an average of 9% on each variable. Usability testing assessment also shows that the Kaizen website reaches the acceptable category with a score of 90.5 after improvements are made.

Managing the E-commerce Data Deluge through Text Analytics and Web Management (Overview of Amazon.com)

Today, more than 80% of the big data handled in the e-commerce industry is text and unstructured data. Text analytics is an automated process for analyzing text and extracting useful information from it. It can discover trends and relationships in data. Web analytics is the collection, processing, and analysis of data in order to draw conclusions to optimize usability on a website. Web analytics can be used to improve the usability of a site by analyzing user behavior patterns such as time spent on the site, abandonment rates, most frequently accessed products, click-through rates, etc. It can also help analyze the interests of different user demographics, as it tracks granular details such as user demographics, age and gender, geography, and devices used as data. In order to obtain UpToDate information, the business can utilize business intelligence for real-time data processing, then they can practice stream analysis to analyse continuous flow of data. For instance, the business can collect instant information in Twitter or other social media and analyse it by using social media analysis. For website management, business can practice web analysis to analyse the customer’s behaviours. Tracking the customer’s activity, page view and conversion rate is important for business to analyse how to improve the website performance. Text analytics of comments received on Amazon can be used to group text data and produce results in terms of word frequency distribution and sentiment analysis. Text analytics could be used for decision making, improving service quality, and developing new business models.

Rancang Bangun Company Profile Berbasis Web Menggunakan Metode Waterfall (Studi Kasus : APM Frozen Food)

This research explores the development of a company profile website with a holistic approach using Bootstrap, CodeIgniter 3, Apache, and MySQL as the technological foundation. The main focus is to optimally integrate the frontend and backend. The research methodology includes in-depth analysis of requirements, responsive design, implementation with CodeIgniter 3 for backend logic, utilization of Apache as a server, and MySQL for efficient database management. Active observations, interviews, and thorough documentation resulted in concrete solutions for this project. The results include not only successful implementation of the latest technology but also strengthened website performance and responsibility. This research has a positive impact by increasing the effectiveness of company website development and creating an integrated and optimally responsive environment for user needs.

E-commerce Website Performance Evaluation: Technology, Strategy and Metrics

E-commerce Website Performance Evaluation: Technology, Strategy and Metrics