Convenient Services Research Articles

Analysis Of The Effectiveness Of Bpjs Health Implementation In Marbau Puskesmas: Balance Between Access And Service Quality

The aim of this research is to see whether there are still problems in the form of public complaints about the quality of health services which are less than optimal in terms of patient efficacy towards the public services provided. This ineffectiveness can be caused by the unreliability of Puskesmas staff, lack of attention, and lack of empathy in treating patients. Researchers in this study will use qualitative research methods. In general, qualitative methods are used because the existing problems are still unclear, holistic, complex, dynamic and full of meaning, so it is not possible to collect data about social situations using quantitative methods such as tests, questionnaires and interview guides. The findings of this research include: First of all, the issues raised in this research relate to the processes involved in providing BPJS services in accordance with standard operating procedures. Second, the convenience of services offered by health facilities is very good, but the problem is the long queues that have to be waited at the counter and during examinations by doctors. The third consideration is the availability of health services offered by community health centers which are considered health facilities. In terms of human resources, the current availability of health services is still inadequate, however, informants currently state that the services provided to them are quite good. Other factors that contribute to the efficiency of BPJS patient health services are that the services are provided free of charge, the services and treatment are consistent, the inpatient services are complete, and the location is strategic. Meanwhile, the challenges currently faced are a lack of medical personnel, lack of counter service, long queues in examination rooms, as well as a lack of drivers and ambulances for health facilities.

A Study on Innovation in Student Service Models at Vocational Colleges Based on One-Stop Student Community

With the development of society and the adjustment of industrial structure, vocational education has become increasingly important in China s education system. Vocational colleges, as the main institutions for cultivating technical and skilled talents, bear the responsibility of delivering high-quality applied talents to society. Against this backdrop, the concept of a one-stop student community has gradually gained attention as a new model for student services. This model integrates various service resources to provide a comprehensive and integrated service platform, aiming to enhance the convenience and effectiveness of services. Therefore, a systematic study on the application and innovation of the one-stop student community in vocational colleges is of significant practical significance and theoretical value for improving the quality of student services and educational outcomes.

Exploring the fusion of natural language processing and information retrieval

The ongoing progress of technology has led to a strong focus on the merging of Natural Language Processing (NLP) and Information Retrieval (IR) in current research. This paper provides a comprehensive analysis of the fundamental concepts, importance, and difficulties encountered in the domains of NLP and IR, examining their effects on real-world applications. By examining the present state of NLP technology in information retrieval, it is evident that the advancement of NLP technology has introduced fresh opportunities for information retrieval, such as the NLPIR model. However, it also encounters problems in terms of adaptability and generalization capacity. Future study should prioritize enhancing the precision and efficiency of NLP technology, as well as investigating its suitability and adaptability in dealing with certain domains or languages. By consistently striving and introducing new ideas, the fields of NLP and information retrieval will have a promising future, offering individuals more convenient and precise information retrieval services.

Customer Care-Specific Attributes and The Performance of Quoted Deposit Money Banks in Nigeria

This study assesses the relationship between customer care-specific attributes and the customer growth of quoted deposit money banks in Nigeria. In this study, a cross-sectional survey, which is a quasi-experimental method, was employed. This study encompasses the entire Survey Respondents of 105 sample staffs and their bank customers of the 14 quoted money deposit banks in Nigeria, serving as the accessible population for the study. Data Collection Method was the Primary Data Collection designed questionnaire. The Likert scale, consisting of response options such as Strongly Agree, Agree, Disagree, and Strongly Disagree, was employed. The study used Spearman's rho correlation to observe the statistical significance at 1% level. The result showed that p-values for all correlations are highly significant (p < 0.01), suggesting strong evidence that these relationships are meaningful. This provides confidence in the model's fitness in terms of statistical significance in the given results, with the highest being between customer growth and the number of financial products (0.494), indicating a moderate positive relationship. The coefficients show the strength of the relationships, with high values indicating stronger associations. The model's relationships are robust and not due to random chance, indicating good fitness. It was recommended that banks should ensure that customer service personnel are accessible, responsive, and effective by investing in convenient customer service channels. They should regularly provide training and development opportunities for bank customer service personnel to ensure that they can handle customer inquiries and issues effectively. They should recognize and reward the efforts of bank customer service personnel with fair and competitive salaries and benefits to motivate and retain top talent. They should also diversify the range of financial products offered by banks to meet varying customer needs and attract a broader customer base.

Home-based transitional cardiac telerehabilitation in older adults post coronary artery bypass grafting: A randomized controlled trial

This randomized controlled trial evaluated the effectiveness of a 12-week home-based transitional cardiac telerehabilitation (Hb-T-CTR) program on health-related quality-of-life and therapeutic self-care in older adults’ post-Coronary Artery Bypass Grafting (CABG). The intervention group (n = 57) underwent Hb-T-CTR, incorporating preoperative counseling, postoperative education, a culturally adapted video, home visits, and telephone counseling, while the control group (n = 61) received standard care. Using the Coronary Revascularization Outcome Questionnaire and the Sidani Doran Therapeutic Self-Care Measure, data were collected at three time points. Results showed significant improvements in overall scores for both health-related quality of life (t1=3.386, P = 0.001; t2=4.224, P < 0.001) and therapeutic self-care (t1=7.104, P < 0.001; t2=4.242, P < 0.001) in the intervention group compared to controls. This telehealth approach provides convenient and accessible rehabilitation services for older adults’ post-CABG and highlights the importance of integrating Hb-T-CTR into routine care for personalized rehabilitation. This study underscores the potential of telehealth tools in overcoming barriers and enhancing patient-centered interventions.

“I'm not very skilled in using gadgets:” A qualitative exploration of the facilitators and barriers to using telepharmacy services among Filipino senior citizens

BackgroundTelepharmacy provides remote care by pharmacists to distant patients via telecommunications. It is a new service used in the Philippines during the COVID-19 pandemic. However, its utilization among vulnerable populations, notably senior citizens, remains relatively unexplored. ObjectiveThis study explored the facilitators and barriers to telepharmacy use among senior citizens in Pasig City, Philippines. Pasig City, a highly urbanized area in Metro Manila, is known for its quality and accessible healthcare services and has a high population of senior citizens. MethodsSix focus groups were conducted: three with telepharmacy users and three with non-users, each with 3–5 participants. Focus groups were concluded upon reaching data saturation, where no new insights emerged. Verbatim transcripts were analyzed using deductive and inductive content analysis, guided by the Health Belief Model. Coding and data management were facilitated by MAXQDA software. ResultsFilipino senior citizens recognize the convenience and reliability of telepharmacy services for healthcare advice. Their use is influenced by social factors (friends, family, social media) and personal relevance, especially for those with chronic conditions. Positive experiences increase their likelihood of continued use and recommendations to peers. However, barriers such as poor service knowledge, low self-efficacy, and limited access (lack of smartphones, unreliable internet) hinder broader adoption. ConclusionsTelepharmacy enhances the health and well-being of Filipino senior citizens by offering convenient and effective pharmaceutical care. However, barriers exist that need to be addressed through a multifaceted approach, including education and training for seniors, improved internet infrastructure, and the design of user-friendly platforms.

The Rise of Virtual Health Care: Transforming the Health Care Landscape in the Kingdom of Saudi Arabia: A Review Article.

Background: The rise of virtual healthcare underscores the transformative influence of digital technologies in reshaping the healthcare landscape. As technology advances and the global demand for accessible and convenient healthcare services escalates, the virtual healthcare sector is gaining unprecedented momentum. Saudi Arabia, with its ambitious Vision 2030 initiative, is actively embracing digital innovation in the healthcare sector. Methods: In this narrative review, we discussed the key drivers and prospects of virtual healthcare in Saudi Arabia, highlighting its potential to enhance healthcare accessibility, quality, and patient outcomes. We also summarized the role of the COVID-19 pandemic in the digital transformation of healthcare in the country. Healthcare services provided by Seha Virtual Hospital in Saudi Arabia, the world's largest and Middle East's first virtual hospital, were also described. Finally, we proposed a roadmap for the future development of virtual health in the country. Results and conclusions: The integration of virtual healthcare into the existing healthcare system can enhance patient experiences, improve outcomes, and contribute to the overall well-being of the population. However, careful planning, collaboration, and investment are essential to overcome the challenges and ensure the successful implementation and sustainability of virtual healthcare in the country.

Practices and preferences for HIV testing and treatment services amongst partners of transgender women in Lima, Peru: An exploratory, mixed methods study.

In Peru, one-third of transgender women (TW) are estimated to be living with HIV. While TW are recognized as a priority population, their sexual partners are an at-risk hidden population with unmet needs for HIV services. We conducted a study examining the practices and preferences for HIV services among partners of transgender women (PTW), as compared to TW, to better understand the needs of PTW and inform HIV service delivery for them in Peru. Between July-October 2022 we conducted a cross-sectional mixed methods study among PTW and TW in Lima, Peru. Using an explanatory sequential design, we administered online surveys to PTW (n = 165) and TW (n = 69), then interviewed a subset of participants (n = 20: 16 PTW, 4 TW). We quantitatively and qualitatively described PTW practices/perspectives on HIV testing and treatment and compared them to TW practices/preferences; we also compared practices/preferences among PTW based on their relationship with TW. Overall, PTW and TW shared similar experiences and preferences for HIV testing/treatment, but fewer PTW reported accessing non-traditional HIV testing options and PTW expressed less strong preferences for HIV services. PTW practices/preferences varied by type of relationship with TWs. Surveys and interviews highlighted a need to prioritize efficiency for HIV testing, eliminate gender/sexuality-based discrimination in healthcare settings, increase privacy when delivering HIV services, and increase awareness of pre-exposure prophylaxis. PTW identified many aspects related to the location, convenience, and privacy of HIV services as important. Next steps could include a discrete choice experiment to further clarify priorities for HIV services for PTW in Peru.

РОЗВИТОК МОБІЛЬНИХ ПЛАТЕЖНИХ СЕРВІСІВ: МАРКЕТИНГ FINTECH ПРОДУКТІВ

In today's world, financial technology (FinTech) has become an integral part of everyday life, significantly changing the way people interact with financial services. One of the most dynamically developing industries is mobile payment services. They provide a fast, convenient and secure way to carry out financial transactions through mobile devices. However, despite the rapid spread of mobile payment services, there are a number of problems and challenges associated with their development and promotion on the market. The purpose of the study is to analyze the development of mobile payment services in the context of FinTech, as well as to develop effective marketing strategies for promoting these products on the market. The object of the study is mobile payment services as an innovative segment of FinTech and their marketing in the modern market, namely aspects related to the development, implementation, promotion and use of mobile payment services. Scientific publications and monographic editions, magazine articles and materials of scientific and practical conferences became the methodological basis of the research. Content analysis of scientific periodicals was used during the research; comparative critical analysis of existing approaches and methods of analysis of financial stability and tax burden; statistical methods of analysis. The main hypothesis of the research is that effective marketing strategies focused on technological innovation, personalization of user experience and taking into account the cultural characteristics of markets significantly increase the adoption and use of mobile payment services among consumers. Summary of the main material. Innovative technologies and platforms based on the concept of embedded finance and their potential to change and transform the financial sphere are highlighted. The technological, economic and regulatory aspects of the use of embedded finance are analyzed, and the key challenges and opportunities associated with their application are identified. As a result of the study, it is established that integrated finance can become a significant factor in accelerating the innovative development of the financial sector, improving the quality of financial services, and ensuring greater accessibility and efficiency in the provision of financial products and services. Originality and practical significance. The originality of the scientific article lies in the comprehensive approach to the study of mobile payment services through the prism of marketing strategies in the FinTech sector. Despite the considerable interest in the technological aspects of mobile payments, the issues of effective marketing of these products remain less studied. The practical significance of the article is that the research results can be used by both FinTech companies and marketing specialists to improve their strategies and increase the efficiency of mobile payment services. Conclusions and prospects for further research. The analysis showed that the introduction of the latest technologies, such as blockchain, artificial intelligence and biometric authentication methods, significantly increases the security and convenience of mobile payment services, which contributes to their popularization among consumers. The combination of technological innovation, personalization and cultural adaptation in marketing strategies is the key to successful promotion of mobile payment services. Further research is needed to assess the long-term consequences of introducing new technologies into mobile payment services. Particular attention should be paid to data security and confidentiality.

주관적 건강 상태에 따른 노인의 지역사회 계속거주 영향 요인

Low birth rate and aging are rapidly changing the demographic of our society and pushing us entering into a super aged society. In the super-aged society where more than 20% of the total population is over 65 years old, the residence problem for elderly has become a growing social problem as life expectancy increases. This study used the '2020 Survey on the Elderly' and a multinomial logistic regression model to analyze factors affecting AIP (Aging in Place) attitudes among the elderly. As a result, first, AIP attitudes against 'moving to good housing' when healthy are seen when sample are older, single, live in their own home, and do not have a private or retirement pension. AIP attitude toward 'moving to a house with care and convenience services' appears in those who are unmarried, have a short period of education, live in monthly rentals, and receive housing pension and farmland pension. Next, AIP attitude against ‘living with children’ when having difficulty with mobility appears in male, single, living in own home, and not receiving a private or retirement pension. The AIP attitude against 'moving to welfare housing' appears in cases where the period of education is short, living in a self-owned house, receiving housing pension or farmland pension, and having many financial assets or low debt. The study highlights the importance of cash flow for elderly households. AIP attitudes are linked to private and public income. Securing regular income for retired seniors and improving cash flow policies is crucial for realizing AIP.

Automating the Extraction of Words and Topics in Indonesian Using the Term Frequency-Inverse Document Frequency Algorithm and Latent Dirichlet Allocation

Keyword extraction and topic modeling in the analysis of Gojek user reviews in Indonesian are very important. By understanding user preferences and needs through keyword extraction, as well as grouping user reviews into different topics through topic modeling, stakeholders can use the information to further improve services. This research uses TF-IDF and LDA approaches to analyze text data from Gojek user reviews and feedback. The data spans from Nov 5, 2021, to Jan 2, 2024, totaling 225,002 rows. Each row includes username, content, time, and app version. The focus is on content reviews. The average length is 8 words, with a maximum of 104 and a minimum of a few words. The variability indicates a non-normal distribution. Preprocessing is conducted to maintain topic analysis accuracy. The TF-IDF method is used to extract relevant keywords, while the LDA approach is used to model the topics in user reviews. The topic analysis reveals patterns in Gojek user reviews. The first topic discusses experience, services, and affordable pricing. The second emphasizes app usability and benefits. The third relates to promos, discounts, and vouchers. The fourth reflects positive evaluations of service quality. However, the fifth topic highlights high costs and app issues. The sixth underscores overall user satisfaction and service convenience. Testing on the topic model yielded a coherence level of 0.509, indicating that the model's topics demonstrate a good level of consistency in finding relevant topics from Gojek user review data. The use of a combination of TF-IDF and LDA in Indonesian text analysis, particularly in the context of Gojek user reviews, is an important step in enhancing understanding and utilization of text data to improve overall user experience.

Rental Clothing site (THE BORROW TREND)

Abstract – This research paper investigates the emerging trend of clothing rental websites, examining their impact on the fashion industry, consumer behavior, and environmental sustainability. The study aims to provide a thorough literature review, propose a conceptual model for clothing rental platforms, and offer insights into the future of this innovative business model. The creation of a business model that addresses the need for affordable clothing options, particularly for special occasions like weddings. The project aims to offer a solution for individuals from lower and middle-class backgrounds who find it challenging to purchase expensive attire for events due to high costs and limited utility. By introducing a rental clothing service called “Rent Attire,” the project targets a wide audience, including lower, middle, and upper classes, with a focus on providing various styles of clothing for different occasions. The long-term goal is to become a leader in the rental clothing industry, expanding services to include event organization like weddings. Marketing strategies involve advertising in magazines, social media, and television, along with offering discounts to attract and retain customers. The project emphasizes customer satisfaction, with plans to open stalls in universities and expo centers to reach a broader market. The business model includes physical stores for order placement and rental charges based on the completion of orders. Overall, the project aims to fill a market gap by providing affordable and stylish clothing options for various customer segments, with a focus on convenience and customer service. Keywords – Rental clothing-business model,Fashion business plan, Marketing analysis, Customer need, Managing customers, Search engine optimization (SEO), Custom HTML page templates.

The New Law of the European Data Markets: Demystifying the European Data Strategy

Abstract The European Data Strategy, published in 2020, aims to turn the EU into a society empowered by data which captures its benefits to generate improvements in health, well-being, the environment, transparent governance, and convenient public services. This article examines the European Data Strategy, focusing on the Data Act and Data Governance Act, and situates them within broader data governance discussions. It argues that the Strategy has at its centre a tension between fostering a robust, fair data market versus scepticism towards market-based data governance mechansims, and analyses to what extent the regulatory techniques the Data Strategy proposes can address this tension.

The Dual Impact of Economic Growth and Trade Openness in Explaining the Gender-Gap in Employment: Case of Arab Countries

This study aims at investigating the dual impact of trade openness and economic growth on gender-gap in employment for selected Arab countries in the last three decades. The panel data were extracted from the World Bank Indicators (WBI). To account for potential heterogeneity and non-stationarity in some series, the method of Weighted estimation for Dynamic Least Squares (DOLS) is used. The main findings substantiate the importance of both demand side factors such as economic growth and trade openness on gender-gap in employment as well as the supply side factors like education and fertility rate. The main variable of concern which is the trade openness has revealed as expected a positive and highly significant impact on gender-gap in employment. The GDP growth shows negative and significant impact on the gender-gap in employment, which was in favor of more male employment. Other factors such as education were no more drivers for more female employment but it might be driver for more female unemployment. It shows a negative impact for only young females but it was insignificant for other groups. Finally, fertility rates and urbanization have shown as expected a negative and significant impact on gender-gap in employment which still band more female employment with lack of convenient and affordable child care services.

Study on the Impact of Chat GPT on the Education Work of College Counselors

Chat GPT has had a profound impact on the ideological education work of college counselors, providing convenient and efficient services, greatly enriching educational methods and resources. However, this technology has brought a series of challenges and risks to the management of ideological education for college students. This study explores the advantages, risks, and response strategies of Chat GPT for counselor education, providing reference and guidance for improving the ideological education and management level of college counselors.

Research on the Innovative Mode of Internet Hospitals to Implement Medical Services in the Context of Digital Transformation

In today s rapidly developing science and technology, digital transformation has become the trend of development in various industries, especially in the medical industry. The background and significance of this transformation are self-evident. Digital transformation is a powerful driving force for the transformation of the healthcare industry in the next decade. Based on modern technologies such as big data, cloud computing and artificial intelligence, Internet hospitals can break through the limitations of geographical space, improve the convenience and efficiency of medical services, and provide more convenient and personalized medical services for hundreds of millions of patients. Therefore, in-depth research and discussion on the innovative model of Internet hospitals is of great strategic significance for building the future intelligent medical system.

Effect of digital financial inclusion on banking for the poor in African emerging economies

PurposeThis paper studies the effect of digital financial inclusion in banking on the poor and deprived populations of African emerging economies from 1997 to 2023.Design/methodology/approachAutomated teller machines, mobile payments and mobile money transactions measure digital financial inclusion. Household consumption expenditure proxies poverty reduction. The autoregressive distributed lag analyzes the study.FindingsThe results indicate that automated teller machines, mobile money transactions and financial deepening positively affect poverty reduction, while mobile payments negatively affect poverty reduction. Digital financial inclusion decreases poverty via increased investment and empowerment.Research limitations/implicationsDigital financial products and services should be expanded to all population segments in the economies. The governments should improve the quality and quantity of institutions that guarantee the operation of digital financial activities through the enforcement of law and order. The quality and quantity of mobile money transactions and financial deepening should be increased. The costs and charges involved in using automated teller machines and mobile payments should be regulated to relieve the burden on the population. The government should facilitate access to digital financial services via power supply, transport and telecommunication networks. Banks and telecommunications service providers should improve the payment system network to ensure cost-effective, convenient and secure financial service delivery. The digital infrastructure and financial services markets should be enhanced to fully capture the gains of financial inclusion and reduce poverty.Originality/valueA literature review provides studies with conflicting findings on the effect of digital financial inclusion on poverty reduction. This study supports that digital financial inclusion decreases poverty.

Experience in psychological counseling supported by artificial intelligence technology.

In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare. This research aims to explore the role of Artificial Intelligence (AI) technology in psychological counseling and utilize machine learning algorithms to predict counseling outcomes. Firstly, by employing natural language processing techniques to analyze user conversations with AI chatbots, researchers can gain insights into the psychological states and needs of users during the counseling process. This involves detailed analysis using text analysis, sentiment analysis, and other relevant techniques. Subsequently, machine learning algorithms are used to establish predictive models that forecast counseling outcomes and user satisfaction based on data such as user language, emotions, and behavior. These predictive results can assist counselors or AI chatbots in adjusting counseling strategies, thereby enhancing counseling effectiveness and user experience. Additionally, this study explores the potential and prospects of AI technology in the field of psychological counseling. The research findings indicate that the designed machine learning models achieve an accuracy rate of approximately 89% in analyzing psychological conditions. This demonstrates significant innovation and breakthroughs in AI technology. Consequently, AI technology will gradually become a highly important tool and method in the field of psychological counseling. In the future, AI chatbots will become more intelligent and personalized, providing users with precise, efficient, and convenient psychological counseling services. The results of this research provide valuable technical insights for further improving AI-supported psychological counseling, contributing positively to the application and development of AI technology.

Issues of developing financial technologies in Vietnam in modern conditions

The use of digital technology in finance has led to the creation of more efficient and convenient financial services at lower costs, providing customers with a more attractive experience than traditional financial services. This trend has become dominant in recent decades, but it is a relatively new field in Vietnam. Vietnam has great potential for financial technology (hereafter referred to as fintech) development: the young population is increasingly using digital technologies in their daily lives, and the country has a relatively developed telecommunications and e-commerce infrastructure. However, fintech in Vietnam also faces many challenges, such as information technology risks, increased competition in the financial institution market, and difficulties in non-banking organizations management and supervision. Coordination among government agencies, fintech businesses and citizens is needed to address these challenges. The government needs to improve legal policy, raise public awareness, and create favorable conditions for fintech development. Fintech companies need to improve their products and services quality to meet people’s needs. The population needs to be aware of financial technologies to be able to effectively use fintech products and services.

Designing an Autonomous Mobility-on-Demand Service for Transit Last-Mile Access

Public transportation has the potential to provide a safe, convenient, affordable, and eco-friendly mobility service. However, because of its fixed routes and limited network coverage, it is sometimes difficult or impossible for passengers to walk from a transit stop to their destination. This inaccessibility problem is also known as the “transit last-mile connectivity problem.” Such a lack of connectivity can force travelers to drive, consequently increasing vehicle ownership and vehicle miles traveled (VMT) on the roads. The autonomous mobility-on-demand (AMoD) service, with characteristics such as quick fleet repositioning and demand responsiveness, has the potential to provide last-mile coverage where fixed-route transit can only provide limited coverage. This study aims to address the last-mile problem by developing an online demand-responsive AMoD service integrated with fixed-route transit. A linear time-delay dynamical system is proposed to model the AMoD system, and a model predictive control methodology is adopted to regulate the system around an equilibrium point with minimum vehicle rebalancing. To assess the impact of this new mobility service on travel demand, a simulation study is developed and integrated with a mode choice model capturing a combined transit-AMoD model. The experiment results reveal the potential to enhance transit efficiency, reduce VMT, and accommodate the increased transit demand while maintaining the quality of service.