Website Users Research Articles

Design and Development of a Website for Village Services and Information in Watesnegoro Village Government, Ngoro District, Mojokerto Regency

The development of information technology is now experiencing rapid progress. Therefore, these technological developments reflect the transformation of society towards a deeper engagement with digital tools, especially through internet access and the increasing popularity of website usage. In Watesnegoro Village, the creation of a village website acts as an up-to-date information channel that appeals to internet users. This research aims to help digitize services and also promote the potential of the village through the information system on the website. The methods used in this research are observation and interview. The result of this research is the creation of the Watesnegoro village website consists of observation, data collection, website creation, testing, training. However, the process of digitizing services at the Watesnegoro village office is still not perfect. This is due to the low skills of village officials who are not familiar with online services. In addition, the socialization of the website has not been carried out evenly in the community

Streaming movies, series and shows: attitudes and beliefs among Gen Zers

Purpose Faster internet and online streaming have changed the way young consumers enjoy their favorite movies, series and shows, and business models must adapt to these changes. This study aims to examine the streaming behaviors, beliefs and piracy intentions of Generation Z, the youngest and largest generation of online entertainment consumers. Research in the area of young consumer behavior and streaming piracy is limited, and for a good reason: current laws and regulations focus on punishing the distributors of pirated content rather than consumers. Design/methodology/approach This study used a self-reported questionnaire administered to 750 Generation Z college students aged 17–25 years. The authors used the scenario-based method to examine the factors explaining the intentions to commit movies, series and shows streaming (MS) piracy. This method has been extensively applied when analyzing digital piracy because sharing streaming account passwords and using illegal streaming websites among consumers is still not unlawful in the U.S. Therefore, an adequate approach to evaluate young consumers’ intentions is through a scenario-based model. All information was coded, and a statistical and econometric analysis was completed. Findings From the statistical analysis, the authors found that only 14% of the young participants indicated their intention to stop sharing account information and using illegal websites to watch their favorite movies and shows if streaming piracy were punishable by law. The key motivations are related to the denial of injury to others and the belief that governments would have a difficult time enforcing the law in online environments. Approximately 80% of the participants who indicated their intention to continue MS piracy expressed a low perception of any type of risk associated with MS piracy. Research limitations/implications The results were obtained using a scenario-based model. A scenario provides the opportunity for the participants to reflect on a specific conflict, but they can recognize that there is little at “stake” when addressing the conflict, potentially producing the bias of “over positive responses.” Nonetheless, the analysis is still reliable, as the number of observations is large (750 responses), and the conflict is expressed as a degree of conformity rather than a yes/no answer. Practical implications The authors believe that future generations’ attitudes and beliefs about streaming entertainment will pose significant economic hardships to the entertainment industry. Similar to other forms of entertainment, streamed movies, series and shows are highly susceptible to digital piracy and it is the most common risky behavior among adolescents. The economic impact of streaming piracy could extend to revenue losses, job losses and national domestic production. Social implications Peer influence, personal or through social media, is a strong predictor of streaming piracy. In fact, social media influencers play an important role in teenagers’ behavior, including the usage of illegal streaming apps or websites and other deviant behavior in the digital world. It is expected that social media influencers will continue to be a relevant explanatory factor of streaming piracy among young Gen Zers. Originality/value This study contributes to the literature on digital piracy in several ways. First, it adds to the understanding of streaming piracy and the views and perceptions of young consumers about entertainment streaming. Second, the authors extend the analysis of digital piracy to streamed movies, shows and series. Third, the authors complete a statistical analysis on the relationships between Gen Zers’ consumption behavior, beliefs and intentions of streaming entertainment piracy. Understanding Gen Zers’ behavior and attitudes toward paid versus unpaid consumption of streaming content will allow the entertainment industry to respond effectively to future changes in copyright laws and technology usage.

Veri Sömürgeciliği Çağında Verinin Sömürgecilikten Kurtulması: Profesör Nick Couldry ile Bir Söyleşi

In May 2024, the Faculty of Communication at Üsküdar University hosted the 11th International Communication Symposium, which this year has been delineated on the overarching theme 'Digital Inequality and Data Colonialism’. Among the scholars and subject matter experts serving as keynote speakers during its proceedings, Prof. Dr. Nick Couldry along with Prof. Dr. Ulises A. Mejias- gave an insightful keynote speech entitled “Data Grab: The New Colonialism of Big Tech”, which focused on the subjects explored in the groundbreaking research recently published by the two scholars and entitled Data Grab: The New Colonialism of Big Tech and How to Fight Back. In this context, as founders of the concept of data colonialism, Couldry and Mejias discussed further implications of this concept and how Big Tech companies are nowadays grabbing users’ data, exploiting labour and connections for their profit. We interviewed Professor Nick Couldry on data colonialism and why it represents a radically different concept from those already existing in sociology and communication studies. Moreover, we asked what we can do as users of websites and social media platforms

Increasing physical activity among adults affected by COVID-19 social distancing restrictions: A feasibility trial of an online intervention.

In response to COVID-19 social distancing restrictions, digitally delivered health interventions present as a potential solution for maintaining or improving individuals' physical activity. This study explored the feasibility of a web-based intervention, informed by the multi-process action control (M-PAC) framework to promote PA among individuals affected by social distancing. Fifty adults self-reporting as insufficiently active were randomized to a 6-week web-intervention (n = 27) or wait-list control (n = 23). Primary feasibility outcomes included recruitment and retention rates and usability and satisfaction scores; secondary outcomes of MVPA and M-PAC constructs and tertiary outcomes of mental health and wellbeing were also assessed. Overall, feasibility of the intervention was high, with a 96% recruitment rate, 84% retention rate, high satisfaction and usability scores, and comparable website usage to similar eHealth interventions. Intervention participants trended towards improved MVPA and M-PAC constructs and outcomes of mental health and wellbeing. Findings suggest study extension to a full-scale RCT.

National implementation trial of BeUpstanding™: an online initiative for workers to sit less and move more.

The online BeUpstanding™ program is an eight-week workplace-delivered intervention for desk-based workers to raise awareness of the benefits of sitting less and moving more and build a supportive culture for change. A workplace representative (the "champion") delivers the program, which includes a workshop where teams collectively choose their sit less/move more strategies. A toolkit provides the champion with a step-by-step guide and associated resources to support program uptake, delivery, and evaluation. Here we report on the main findings from the Australian national implementation trial of BeUpstanding. Recruitment (12/06/2019 to 30/09/2021) was supported by five policy and practice partners, with desk-based work teams from across Australia targeted. Effectiveness was measured via a single arm, repeated-measures trial. Data were collected via online surveys, toolkit analytics, and telephone calls with champions. The RE-AIM framework guided evaluation, with adoption/reach (number and characteristics); effectiveness (primary: self-reported workplace sitting time); implementation (completion of core components; costs); and, maintenance intentions reported here. Linear mixed models, correcting for cluster, were used for effectiveness, with reach, adoption, implementation, and maintenance outcomes described. Of the 1640 website users who signed-up to BeUpstanding during the recruitment period, 233 were eligible, 198 (85%) provided preliminary consent, and 118 (50.6%) champions consented and started the trial, with 94% (n = 111 champions) completing. Trial participation was from across Australia and across industries, and reached 2,761 staff, with 2,248 participating in the staff survey(s): 65% female; 64% university educated; 17% from a non-English speaking background. The program effectively changed workplace sitting (-38.5 [95%CI -46.0 to -28.7] minutes/8-hour workday) and all outcomes targeted by BeUpstanding (behaviours and culture), with small-to-moderate statistically-significant effects observed. All participating teams (n = 94) completed at least 5/7 core steps; 72.4% completed all seven. Most champions spent $0 (72%) or >$0-$5 (10%) per team member; most (67/70 96%) intended to continue or repeat the program. BeUpstanding can be adopted and successfully implemented by a range of workplaces, reach a diversity of staff, and be effective at creating a supportive culture for teams of desk-based workers to sit less and move more. Learnings will inform optimisation of the program for longer-term sustainability. ACTRN12617000682347.

DIGITALIZATION GLOBAL REPORTING FORMAT IN INTERNATIONAL JUWATA AIRPORT TARAKAN

The global reporting format at Juwata International Airport, Tarakan is still inefficient and uses too much paper. The purpose of this paper is to make global reporting format more efficient and not use a lot of paper / paperless. The method used to overcome the above problems is to digitize the global reporting format using the website US a platforms for data entry forms so that they are easier to fill out and efficient. The results of the website usage test shows that filling in the global reporting format data is efficient and paperless and the website can be used when online. Based on the results of the above method, it is concluded that digitizing reporting is very efficient and does not use a lot of paper, and can help in storing the recap of reporting results so that reporting data is note lost and neatly arranged.

Racial and Ethnic Differences in Mobile App Use for Meeting Sexual Partners Among Young Men Who Have Sex With Men and Young Transgender Women: Cross-Sectional Study.

Young men who have sex with men and young transgender women (YMSM-YTW) use online spaces to meet sexual partners with increasing regularity, and research shows that experiences of racism online mimics the real world. We analyzed differences by race and ethnicity in web-based and mobile apps used to meet sexual partners as reported by Chicago-based YMSM-YTW in 2016-2017. A racially and ethnically diverse sample of 643 YMSM-YTW aged 16-29 years were asked to name websites or mobile apps used to seek a sexual partner in the prior 6 months, as well as provide information about sexual partnerships from the same period. We used logistic regression to assess the adjusted association of race and ethnicity with (1) use of any website or mobile apps to find a sexual partner, (2) use of a "social network" to find a sexual partner compared to websites or mobile apps predominantly used for dating or hookups, (3) use of specific websites or mobile apps, and (4) reporting successfully meeting a sexual partner online among website or mobile app users. While most YMSM-YTW (454/643, 70.6%) used websites or mobile apps to find sexual partners, we found that Black non-Hispanic YMSM-YTW were significantly less likely to report doing so (comparing White non-Hispanic to Black non-Hispanic: adjusted odds ratio [aOR] 1.74, 95% CI 1.10-2.76). Black non-Hispanic YMSM-YTW were more likely to have used a social network site to find a sexual partner (comparing White non-Hispanic to Black non-Hispanic: aOR 0.20, 95% CI 0.11-0.37), though this was only reported by one-third (149/454, 32.8%) of all app-using participants. Individual apps used varied by race and ethnicity, with Grindr, Tinder, and Scruff being more common among White non-Hispanic YMSM-YTW (93/123, 75.6%; 72/123, 58.5%; and 30/123, 24.4%, respectively) than among Black non-Hispanic YMSM-YTW (65/178, 36.5%; 25/178, 14%; and 4/178, 2.2%, respectively) and Jack'd and Facebook being more common among Black non-Hispanic YMSM-YTW (105/178, 59% and 64/178, 36%, respectively) than among White non-Hispanic YMSM-YTW (6/123, 4.9% and 8/123, 6.5%, respectively). Finally, we found that while half (230/454, 50.7%) of YMSM-YTW app users reported successfully meeting a new sexual partner on an app, Black non-Hispanic YMSM-YTW app users were less likely to have done so than White non-Hispanic app users (comparing White non-Hispanic to Black non-Hispanic: aOR 2.46, 95% CI 1.50-4.05). We found that Black non-Hispanic YMSM-YTW engaged with websites or mobile apps and found sexual partners systematically differently than White non-Hispanic YMSM-YTW. Our findings give a deeper understanding of how racial and ethnic sexual mixing patterns arise and have implications for the spread of sexually transmitted infections among Chicago's YMSM-YTW.

Blended and Collaboration-Based Learning Management Model to Enhance Mobile Website User Experience (UX) Design Skills

This study presents a collaborative learning model designed to enhance mobile website design skills with a focus on user experience (UX). The model, assessed by nine experts across utility, feasibility, propriety, and accuracy, demonstrates high-quality scores, reflecting substantial agreement and effectiveness. Specific strengths include the model’s adaptability to the curriculum (4.56) and its applicability to university students (4.44). Areas for improvement, with mean values of 3.89, highlight opportunities for refinement, particularly in the appropriateness of learning processes and the precision of details within activities. Synthesizing steps from cooperative, blended, and Project-Based Learning, the model aligns with Stufflebeam’s framework, emphasizing high feasibility, utility, propriety, and accuracy. Comparative insights with previous research validate its strength across diverse educational contexts. The model’s success, proven through evaluation and refinement, carries significant implications for education by enhancing both technical skills and a holistic understanding of user experiences in mobile web design. Despite acknowledged limitations, the collaborative learning model invites continued exploration and adaptation, ensuring its relevance in the evolving landscape of educational practices.

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.

Pillar 3: The impact of language complexity on the preferences of commercial bank website users

This research explores the impact of document complexity and readability on user preferences for disclosure information on commercial bank web portals, with a focus on Pillar 3 disclosures. The study investigates the usage patterns of disclosed information by stakeholders. Through an analysis of web portal access variables and document complexity and readability measures, the study identifies correlations between text complexity/readability and user preferences. The experiment used traditional readability measures like the Gunning Fog Index and Flesch Reading Ease but also focused on less-used metrics such as LIX, various text characteristics, and part-of-speech metrics. The findings reveal that while stakeholders show interest in financial documents despite their complexity, preferences in using these documents vary based on document type and readability. Notably, documents with higher complexity tend to attract more attention, suggesting potential challenges in accessibility and comprehension. The paper highlights the importance of presenting disclosure information in a manner that enhances readability and accessibility to better engage stakeholders. Additionally, the research introduces user preference indicators aligned with web portal access metrics, providing insights into stakeholders’ behavior. The research followed up on previous findings of extremely low interest in Pillar 3 information from commercial bank stakeholders. The results showed that stakeholders are more interested in less demanding and more readable texts such as annual reports, and as Pillar 3 documents are more complex and harder to read, they are less interested in them. The research concludes that stakeholders’ increasing interest in this information requires finding approaches to presenting it in less complicated and more readable ways.

P156 HYPERTENSIVES USERS OF A HEALTH WEB PORTAL

Background and objective: In Canada, approximately 1 in 4 adults live with high blood pressure. These people, concerned about their health, often turn to health information Web portals. To meet this need for information, Quebec Society of Vascular Sciences (QSVS) du Québec has created a web portal (www.yourvascularhealth.ca). However, limited data is available to describe the characteristics and motivations of hypertensive users of these websites. Method In this multicenter study, participants had to be ≥18 years old, hypertensive and able to use digital tools. They were approached by collaborating physicians (n=30) during routine consultations. An anonymous, validated electronic questionnaire assessed socio-demographic variables, digital competence, and motivations for using a health website. Adapted Technology Acceptance Model III was used as a framework. Results: Forty-three participants were recruited mean age of 70.3 ± 10.5 years, 67% male, 33% had achieved a university level of education. For health behaviors, less than 30% attained the 150 weekly minutes of exercise promoted in Canada while a less than half (44%) say that they eat according to DASH guidelines. The vast majority don’t smoke (67%) and drink less than once a month (86%). Preliminary analysis show that most participants (84%) use search engine. When questioned (on a Likert scale 1 to 7) about the portal, they perceived it was useful (6.0 ± 1.1), easy to use (5.4 ± 1.2) and expressed the intention of using the portal again (5.7 ± 1.5). When motivation was assessed; autonomous motivation was highest (5.83 ± 0.99) followed by amotivation (3.83 ± 1.35) and controlled motivation (3.13 ± 1.39). Conclusion: Patients with hypertension are consulting websites to obtain more information and this even later in life. It is our responsibility to provide websites that are designed for this population and scientifically based. This study will contribute to a better characterization of health website users and may guide the development and dissemination of health websites.

Internet-based enrollment of a myositis patient cohort-a national experience.

Recruitment for idiopathic inflammatory myopathies (IIM) research is a challenge due to the rarity of the disease and the scarcity of specialized myositis centers. Online recruitment may be a feasible alternative to reach rare disease patients. We evaluated various online recruitment methods in a large longitudinal IIM cohort. The "Myositis Patient Centered Tele-Research" (My Pacer) is a prospective 6-month observational study of IIM, recruited online and through traditional clinic visits. We utilized diverse recruitment methods, such as physician referrals, social media, websites, direct emails, and partnerships with patient-support organizations. Participants self-enrolled and completed pre-screening, e-consenting, and release of medical information via the study-specific app or website. We compared the effectiveness of various recruitment and enrollment methods and the characteristics of the population recruited. A total of 841 participants completed the pre-screening; 408 completed e-consent and registration. From those, 353 (86.5%) were remotely recruited. Email (201; 49.26%) and social media (77; 18.87%) were important recruitment tools. Patient-support organizations were responsible for disseminating the study to 312 (75.46%) participants. The study app was used by 232 (65.72%) individuals for enrollment, with app users being slightly younger than website users (p = 0.001). Participants were mostly female 317 (77.76%), mean age of 54.84 years, White 328 (80.42%), Black 49 (12%), Asian 13 (3.26%), and non-Hispanic 378 (92.65%). Our study reached all U.S. regions and 45 (90%) U.S. states. Social media and partnerships with patient-support organizations lead to a high rate of recruitment, with a wide reach, and a reasonably diverse population.

Effect of Fashion E-Commerce User Experience on Customer Retention in Ghana

Purpose: The aim of the study was to analyze the effect of fashion e-commerce user experience on customer retention in Ghana. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Research indicates that positive user experiences, characterized by intuitive website navigation, efficient mobile interfaces, and responsive customer service, greatly enhance customer retention rates. Users who encounter seamless transactions, personalized recommendations, and reliable delivery services are more likely to return and engage with fashion e-commerce platforms repeatedly. Unique Contribution to Theory, Practice and Policy: Theory of planned behavior (TPB), self-determination theory (SDT) & expectation-confirmation theory (ECT) may be used to anchor future studies on effect of fashion e-commerce user experience on customer retention in Ghana. Practically, fashion e-commerce platforms should invest in user-friendly website design and navigation to enhance the overall shopping experience. This includes simplifying the checkout process, ensuring mobile compatibility, and improving site speed. From a policy perspective, e-commerce regulations should include guidelines for user experience best practices. This could involve setting standards for website accessibility, data protection, and user interface design to ensure a positive online shopping experience.

Analysis the Level of Experience of Technology Users’ Perspectives on LinkedIn Websites

LinkedIn is a web-based application that can be used by job seekers, both new users and professional users. LinkedIn website is not only used by job seekers but can be used for various other activities. Application user experience is a major assessment of the quality of the software. LinkedIn website user experience can be seen by measuring the website using several aspects. This research aims to analyze the website user experience using the User Experience Questionnaire (UEQ) method. Measurement using the UEQ method is seen by using six aspects of the measurement scale, namely attractiveness, clarity, efficiency, accuracy, stimulation and novelty. Data collection in the study was carried out using a questionnaire given to 41 respondents totaling 26 questions. The questionnaire data will be processed using UEQ Data Analysis Tools. The results of UEQ measurements with benchmark comparisons show four aspects that are in the below average category, namely attractiveness, efficiency, stimulation and novelty. While two aspects are in the bad category, namely clarity and accuracy. So it is necessary to develop and improve the LinkedIn website by developers related to aspects that are in the bad category. The two bad aspects have a value of 0.58 for the clarity aspect and 0.53 for the accuracy aspect.

DIVULGING YOUNG POPULATION’S WILLINGNESS TO PURCHASE GREEN PRODUCTS

The aim of this study is to investigate the influencing factors of consumers’ purchase intention of green products. The population of this study was the young people who are basically students. For this study, data were gathered through a Google Form sent by email, along with a cover letter for respondent convenience. The respondents made up the final sample size of the research. The study collected data from current members of the several e-commerce website users in USA. They were sent invitation to take part in and after their approval, their responses were gathered. Five-point Likert scale has been used where ‘1’ stands for ‘Strongly Disagree’ and ‘5’ stands for ‘Strongly Agree’ to find out the item-wise questionnaire. The final sample size was n=514. Moreover, to evaluate the hypothesis, a 5% significance level and SPSS software was used to analyze the data for research purpose. The outcome of this study shows that health consciousness, environmental awareness, and green product knowledge have a positive and significant impact on consumers’ intention to buy green products. Overall these variables are able to explain 46.80% of the variance in predicting behavioral intentions to buy green products. It is found that among the three determinants, health consciousness ((β = 0.413) had the highest impact on the purchase intention of green products among USA young people compared to other variables. This research might provide significant clues to the manufacturers of green products that can severely influence to consumers to buy green products for their wellbeing.

Exploring different technology addiction types in young adults: a latent profile analysis

This study aimed to examine the different latent profiles of technology addiction in young adults, and the criteria for belonging to these profiles, in relation to sociodemographic factors (gender and SES) and technology use status (daily social network usage time, daily instant messaging usage time, daily online gaming usage time, daily website usage time, and connection location). Data were collected from a sample of 1,431 young adults [988 (69.1%) female, 443 (30.9%) male]. Latent Profile Analysis (LPA) was used to identify the latent profiles, and Multinomial Regression Analysis was employed to examine the relationships between the latent profiles and sociodemographic and technology use. The LPA revealed four latent profiles of technology addiction in young adults: “Non-Addicts (NA)”, “Moderate Technology Addicts-Gamers (MTAG)”, “High Technology Addicts-Non-Gamers (HTANG)”, and “High Technology Addicts-Gamers (HTAG)”. The criteria for belonging to these four profiles were statistically significantly related to sociodemographic and technology use factors, except for connection location, and age. These findings provided further support for our knowledge about planning programs or multi-layered intervention models to prevent technology addiction in young adults.

DIVULGING YOUNG POPULATION’S WILLINGNESS TO PURCHASE GREEN PRODUCTS

This study investigates the factors influencing consumers’ purchase intention of green products. The population of this study was the young people who are basically students. For this study, data were gathered through a google form sent by email, along with a cover letter for the respondents’ convenience. The respondents made up the final sample size of the research. The study collected data from current members of several e-commerce website users in USA. They were sent invitations to participate, and their responses were gathered after their approval. A five-point Likert scale was used where ‘1’ stands for ‘Strongly Disagree’ and ‘5’ stands for ‘Strongly Agree’ to determine the item-wise questionnaire. The final sample size was n=514. Moreover, to evaluate the hypotheses, a 5% significance level and SPSS software was used to analyze the data for research. The outcome of this study shows that health consciousness, environmental awareness, and green product knowledge have a positive and significant impact on consumers’ intention to buy green products. These variables can explain 46.80% of the variance in predicting behavioral intentions to purchase green products. It is found that among the three determinants, health consciousness ((β = 0.413) had the highest impact on the purchase intention of green products among USA young people compared to other variables. This research might provide significant clues to the manufacturers of green products that can severely influence consumers to buy green products for their well-being.

Analysis of One Data Indonesia Portal User Satisfaction Using the Pieces Framework

One data Indonesia is a platform created by the Ministry of National Development Planning or the National Development Planning Agency (PPN/BAPPENAS) to facilitate access to information for all levels of society regarding development in Indonesia. The One Data Indonesia Portal contains data and information from various government agencies, non-governmental organizations and other sources. Through the One Data Indonesia Portal, users can search for data and information related to topics such as the economy, education, health, social and environment. User satisfaction is a person's emotional feelings of pleasure or disappointment that occur when the performance (outcome) of a product is compared to the expected result (or results). The number of website users, the researcher wants to know the level of user satisfaction of One Data Indonesia Portal from the user's point of view by paying attention to user satisfaction indicators. The quantitative analysis used in the research is presented on the Satu Data Indonesia website ( www.data.go.id ), the research findings are presented as accurate numerical data. the results of the research are in the form of satisfaction level values and validity and reliability tests. The conclusion from the analysis of user satisfaction on the Indonesian one-data website using the PIECES method was carried out on 100 Indonesian one-data website user respondents whose characteristics were obtained based on the age, gender and occupation of the respondents using the PIECES domain. Keywords: User Satisfaction, Quantitative Analysis, PIECES Method

PENGARUH PENERAPAN WEBSITE E-PERSURATAN TERHADAP KINERJA KANTOR KESYAHBANDARAN DAN OTORITAS PELABUHAN KELAS I SAMARINDA

The aim of this research is to find out how the E-Persorat system is implemented and its influence on the Harbor Master's Office and Class I Samarinda Port Authority. This research uses a quantitative research design. The object of this research is the users of the E-Persuratan Website, namely all employees. The data analysis technique used was carried out with the help of statistics and the data analysis used was descriptive and multiple linear regression. The division of testing includes instrument requirements using validity and reliability tests, data analysis requirements testing using linearity tests and data analysis testing using multiple linear regression tests and hypotheses (T test). Based on the analysis test results, it was found that the implementation of the E-Persuratan website had an effect on the performance of the Harbor Master's office and the Samarinda Class I Port Authority. Meanwhile, the implementation of the governance system has no effect on office performance. The phenomenon of these results can be seen from the data validity test of the two variables which are considered valid, the reliability of the two variables is considered valid, the linearity of the two variables is calculated linearly, the multiple linear regression analysis shows that there is a unidirectional relationship between the two variables, while the hypothesis test shows that there is an influence on the variables Website Use and The system usage variable has no influence on office performance

Conversational AI and Chatbots: Enhancing User Experience on Websites

This research paper explores the transformative potential of conversational AI and chatbots in enhancing website user experience (UX). It addresses two key research questions: How do these technologies improve user engagement and satisfaction on websites, and what are the primary challenges in implementing them, along with effective solutions. The study examines case studies across diverse industries, including e-commerce, travel, healthcare, and finance, to gain insights into the underlying technologies powering conversational AI and chatbots, such as natural language processing (NLP), natural language understanding (NLU), and machine learning techniques. The paper highlights the significant benefits of integrating conversational AI and chatbots into websites, including providing personalized assistance, streamlining complex processes, ensuring 24/7 availability, and enhancing accessibility for users. However, the study also addresses the key challenges faced in implementation, ranging from handling ambiguity and context in natural language processing to ensuring data privacy and security, managing user expectations, and the need for continuous improvement and training. The research proposes solutions to these challenges, such as employing advanced NLP algorithms, robust API management tools, and establishing user feedback loops. Ethical considerations, including data privacy and addressing biases in AI responses, are also explored, emphasizing the importance of robust encryption, adherence to data privacy regulations, and advanced access control mechanisms. The paper concludes by providing a comprehensive overview of the current state and future directions of conversational AI and chatbots in enhancing website user experience, exploring emerging trends such as multimodal interactions, contextual awareness and personalization, integration with IoT devices, and the development of emotional intelligence and empathy in chatbots.