Innovative Features Research Articles

Pengaruh Fitur BSI Mobile Dan Kemudahan Bertransaksi Terhadap Kepuasan Nasabah Di BSI Kc Madiun Agus Salim

This research was conducted to analyze how the influence of mobile BSI features and the ease of transactions on customer satisfaction at BSI KC Madiun Agus Salim. The data in this study were collected by distributing questionnaires and the data was processed using SPSS 21 software with multiple linear regression analysis tests. The samples taken were 100 respondents with probability sampling technique. The results of the analysis show that the mobile BSI feature (X1) and ease of transaction (X2) have a positive and significant effect on customer satisfaction partially or simultaneously. Other results show that the variable that greatly influences customer satisfaction at BSI KC Madiun Agus Salim is the BSI mobile feature variable, meaning that the better the BSI mobile feature service is presented, the level of customer satisfaction is also increasing. Thus, companies must always strive to improve and bring innovative features to BSI mobile. Keywords: BSI Mobile Features, Ease of Transactions, and Customer Satisfaction

Medicare: Doctor Appointment Website and Hosting Using Cloud Services

The "Doctor Appointment Website Hosting with Cloud Services" project aims to revolutionize the healthcare appointment scheduling process by leveraging modern web technologies and cloud infrastructure. The web application provides a user-friendly platform for patients and healthcare providers to efficiently manage appointments, access relevant information, and communicate seamlessly. By integrating AWS cloud services, the platform ensures scalability, reliability, and accessibility, accommodating growing user bases and maintaining high availability. Additionally, the project incorporates telemedicine capabilities, enabling virtual appointments and improving accessibility to healthcare services. Through the implementation of innovative features and robust system architecture, the project addresses key challenges in traditional appointment management systems and enhances the overall patient experience. Future scope includes the integration of advanced functionalities such as health monitoring, AI-powered chatbots, and predictive analytics, further advancing the platform's capabilities and fostering a patient-centric approach to healthcare delivery. Overall, the project represents a significant step towards modernizing healthcare appointment scheduling and optimizing clinical workflows in a cloud-based environment. Keywords: - Doctor Appointment, Website Hosting, Cloud Services, Appointment Management, JavaScript.

Utilizing digital technologies for rapid damage assessment and reconnaissance: the February 6, 2023 Kahramanmaraş-Türkiye earthquakes (Mw 7.7 and Mw 7.6)

AbstractThis paper presents a comprehensive overview of the rapid damage assessment and reconnaissance efforts following the devastating earthquakes on February 6, 2023, in Türkiye. It specifically focuses on implementing the SiteEye Disaster Plugin, an additional component of SiteEye software developed by i4 Company engineers and Middle East Technical University researchers. This tool played a critical role in managing and analyzing a massive dataset comprising over 28,000 images and videos. The research highlights the plugin’s innovative features, such as offline data collection, georeferenced-based layering, and an integrated damage classification system, significantly improving earthquake impact assessments’ accuracy and efficiency. It also underscores the importance of interdisciplinary collaboration involving national and international teams and the role of open data in disaster management. The findings demonstrate how digital technologies can transform the field of disaster response, offering new approaches for rapid assessment and effective management in the aftermath of seismic events. This research contributes valuable insights into enhancing disaster preparedness and response strategies, particularly in earthquake-prone areas.

Design and Fabrication of Cost-Effective Composting for Easy Decomposing of Home Wastes

The primary objective is to develop a Household waste Decomposer that not only composting thee kitchen waste but also ensures quick decomposition while minimizing odors. Our design integrates innovative features, such as a compact and user-friendly composting unit, utilizing a controlled aeration system to accelerate the composting process. This aeration system promotes optimal conditions for microbial activity, enhancing the breakdown of organic matter Another one method added to using decomposer sand. Decomposition sand is a biological process that includes the physical breakdown and biochemical transformation of complex organic molecules of dead material into simpler organic and inorganic molecules. There are two effective system used in Household waste Decomposer. This composting process create a bad smell , so that we are using high suction power exhaust fan. In this suction fans is pull a Odorant particles throw out to the atmospheric air Food waste and decomposer sand ismixed well before pouring in top of the hopper. Food waste and decomposer mixer breakdown the particles like (leaf and tomato and other kitchen veg, waste food) using grinding method Traditional composting methods are slow decomposing and high level of odor form. Now odor free decomposer and quick decomposer at a same time cost effective home decomposing.Household waste Decomposer suitable for trace garden

Digital transformation and firm performance in innovative SMEs: The mediating role of business model innovation

This study investigates the consequences of digital transformation (DT) over performance in the case of innovative Small and Medium-sized Enterprises (SMEs). SMEs represent a heterogeneous kind of company in terms of capabilities. By focusing on their innovative character as a boundary condition, we increase our understanding of this relationship. We further research the mediating role of business model innovation (BMI) in the relationship between DT and performance. A sample of 434 innovative Spanish SMEs is used to test the research model through Partial Least Squares Structural Equation Modelling (PLS-SEM). We find that BMI partially mediates the positive relationship between DT and performance. This finding extends our understanding of BMI as an alignment tool and a blueprint for innovative SMEs channeling their investments in DT towards the improvement of performance. Finally, we put forward managerial implications and propose future avenues of research.

Projected augmented reality in DIEP flap breast reconstruction: Projecting perforators on the skin using dynamic infrared thermography

BackgroundDynamic infrared thermography (DIRT) is a quick and non-invasive technique for perforator mapping in free flaps that provides real-time information. After a cold challenge, areas best supplied with blood become visible hotspots on color-coded maps, indicating perforators. This study presents a proof of principle for a new and innovative feature of DIRT, where projected augmented reality is used to directly display thermal images on the patient’s abdomen prior to the deep inferior epigastric artery perforator (DIEP) flap breast reconstruction. MethodsA self-aligning projection device prototype (Anatomy Projector) equipped with an integrated thermal camera was used to obtain thermal information and project the color-coded map directly on the patient’s abdomen before DIEP flap breast reconstruction. Projected DIRT hotspots were verified using a hand-held Doppler, and compared to the vascularity on computed tomography angiography (CTA), and intraoperative perforator measurements following a Cartesian grid. ResultsA total of 514 DIRT hotspots were projected in 50 patients, among them 97.3% could be verified using Doppler. The positive predictive value for CTA was 74.5%. Intraoperative measurements yielded 132 perforators in 71 flaps, among them 75 perforators (56.8%) correlated with projected DIRT hotspots, and half of them (54.7%) appeared within the first 5 emerging hotspots. ConclusionThis study showed that real-time display of thermal data in DIEP flap breast reconstruction is feasible via projected augmented reality. Projection facilitates convenient marking of hotspots, and a high resemblance to Doppler and CTA data was observed. Further research should assess the added value of projecting thermal images intraoperatively and in other fields of plastic surgery.

Intelligent Bus Tracking System with Attendance based on Facial Recognition

The Intelligent Bus Tracking System is a cutting-edge solution that integrates machine learning tools and face detection technology to revolutionize transportation services within academic institutions. Leveraging the power of artificial intelligence, this system enhances the accuracy, efficiency, and security of bus tracking while introducing innovative features such as facial recognition for identification to Student Attendance.(Saad et al., 2018) The bus tracking system is a comprehensive solution designed to enhance the efficiency and safety of transportation services within academic institutions. This system leverages modern technologies, including GPS and mobile communication to provide real time tracking and monitoring of buses operating within the academic campus. The primary goal is to optimize the transportation experience for students, faculties and staff while also improving overall operational management.(Sharif et al., 2018) Keywords: GPS, Tracking system, Attendance system Face Recognition, Machine Learning,

EFEKTIVITAS SISTEM PELAYANAN RAKYAT SIDOARJO (SIPRAJA) SEBAGAI PELAYANAN PUBLIK DI DESA GEMPOLSARI KABUPATEN SIDOARJO

The Sidoarjo Regency Government presents innovative public service products based on electronic technology in the form of applications, namely the Sidoarjo People's Service System (SIPRAJA). This research aims to measure the effectiveness of SIPRAJA as a public service in Gempolsari Village, Sidoarjo Regency. The quantitative research method used is one variable in a descriptive approach based on the theory of innovation characteristics according to Rogers which requires a sample of 100 respondents. This research has the results that the indicators of relative superiority, compatibility, complexity, testability and observability are very effective. So, the overall conclusion is that the effectiveness of SIPRAJA in Gempolsari Village, Sidoarjo Regency with a final result of a percentage value of 69% is included in the very effective category.

Clustering techniques and innovation-based comparison in Londrina and Region companies

Innovation is often considered a cornerstone for success across various companies. However, research focused on measuring and describing innovation frequently relies on classical statistical techniques. In this context, this study applied unsupervised machine learning techniques to cluster companies in the Londrina region, investigating how variables related to innovation differ among the identified clusters. Data were collected through a survey instrument adapted from CIS 4 and PINTEC, encompassing 26 responding companies, although 23 were analyzed in this study. Four clustering algorithms were employed: k-means, k-means+PCA, hierarchical, and hierarchical+PCA. Regarding the results, the hierarchical+PCA algorithm showed improved separation between service and manufacturing companies. Clusters identified with the value ``"1" indicated concerns related to regular investment in R&D, collaborations for innovation, and requests/registrations of patents in the last three years. Analyzing demographic characteristics revealed that clusters identified by hierarchical+PCA exhibited a higher presence of service sector companies, while cluster 1 showed a prevalence of industries, suggesting that these possess more innovative characteristics in the Londrina region.

Sensitivity analysis of distributed photovoltaic system capacity estimation based on artificial neural network

Residential solar photovoltaic (PV) system installations are expected to continue increasing due to their growing cost competitiveness and supportive government policies. However, excessive installations of unknown behind-the-meter solar panels present a challenge for accurate load prediction and reliable operations of power networks. To address such growing concerns of distribution network operators (DNOs), this research proposes a novel model for distributed PV system capacity estimations. Innovative extracted features from 24-hour substation net load curves were fed into a deep neural network to estimate the PV capacity linked to the substation feeder. A comprehensive study into the sensitivity of the model’s accuracy to specific temporal scales of data collection, number of households served by a substation, and proportion of PV-equipped properties was conducted. This study revealed that a model developed to be used exclusively in summer achieved a 18.1% decrease in estimation root mean squared error (RMSE) compared to an all-year model, whilst using only a third of the training data amount. Similarly, compared to an all-year model, RMSE decreased by 26.9% when only data from Mondays to Thursdays were used to train and test the model. Also, for the all-year model, the most accurate estimations occur when 20% to 80% of households have PV systems installed and estimation percentage error tend to remain constant at around 10% when more than 20% of households have PV systems installed. A machine learning-ready dataset of substations with known PV capacity and experiment results are both useful to inform DNOs on the potential of the proposed method in reducing grid operation costs.

THE INFLUENCE OF CREATIVE AND INNOVATIVE LOYALTY PROGRAMS’ FEATURES ON CUSTOMERS’ ATTITUDINAL, CONATIVE, AND BEHAVIOURAL LOYALTY

Companies allocate significant resources in loyalty programs with the primary goal of enhancing customer loyalty. However, the effectiveness of these programs is now a subject of academic debate. Scholars highlight concerns such as the creation of spurious loyalty, the need for perceived value, and evolving consumer expectations. To succeed in this changing landscape, companies must embrace creativity and innovation in their loyalty program design. As creativity and innovations in loyalty programs are new and little-studied phenomenon, a comprehensive assessment of potential creative and innovative features in loyalty programs is essential for a deeper understanding of their influence on customer loyalty. The aim of this study was to measure the influence of creative and innovative loyalty programs’ features on customers’ attitudinal, conative, and behavioural loyalty. 203 respondents took part in the research. Ordered logistic regression analysis was used to reach the aim of the study. The research findings indicate that engagement-, gamification-, personalization-, and experience-based loyalty programs have an influence on customer loyalty. All four types of features of creative and innovative loyalty programs influence attitudinal and behaviour loyalty, and three types of features of loyalty programs, i.e., engagement-, gamification-, and experience-based, influence conative loyalty. The study findings underscore the importance of designing new features of loyalty programs that align with specific loyalty dimensions, as they can have differential effects on attitudinal, conative, and behavioural aspects of customer loyalty. Such insights are valuable for companies seeking to enhance customer loyalty through creative and innovative loyalty program design and implementation.

Social App for Connecting Similar Interests People

In today's era, characterized by a profound desire for personal human connection, individuals seek to engage with like-minded people who share their interests, hobbies, passions, and ideological perspectives. Addressing this need, our social media app provides a platform for users to connect with others who resonate with their unique identities and aspirations. Built upon Flutter for frontend design and powered by Python algorithms for profile matching and recommendation systems, the app facilitates meaningful connections in both digital and physical realms. Alongside profile matching and recommendation features, the app offers a recommended system for real-world meetups, suggesting ideal venues such as restaurants, cafes, and hotels. Moreover, the app fosters the formation of communities around specific interests, ranging from classical singing to machine learning enthusiasts. Looking ahead, our vision extends into Web 3.0, where users can forge immersive virtual connections, enhancing the depth and authenticity of their interactions. Through these innovative features and future-oriented perspectives, our app endeavors to redefine social networking by enabling individuals to forge deeper, more meaningful connections aligned with their passions and aspirations.

Commitment to Excellence, Innovation in Health Care: Journey to Enhance Healthcare Quality and Patient Safety at Shuang Ho Hospital

<p>雙和醫院自2008年開院以來一直秉持以病人及員工為中心的服務理念，持續提升醫療品質和病人安全。醫療品質部結合醫院理念，推動卓越服務，包括健全品質與安全管理、人才培育、競賽活動以及創新特色發展。在醫療品質推動方面，醫院重視病人安全，鼓勵異常事件通報文化，並進行指標管理以及人才培育。此外，醫院積極參與各項競賽活動，鼓勵全院參與品質改善，並提供完善獎勵。在創新特色發展方面，推動智慧醫療、醫病共享決策和明智選擇等服務，以提供更加有效的醫療照護。未來，醫院將持續與其他醫療機構合作，建立共享交流平台，推動醫療品質和病人安全，以提供高品質的國際一流醫療服務為目標。</p> <p> </p><p>Since its opening in 2008, Shuang Ho Hospital has upheld the concept of patient- and staff- centered service to continuously enhance health-care quality and patient safety. The Department of Healthcare Quality promotes service excellence in alignment with the hospital’s philosophy, which encompasses robust quality and safety management, talent cultivation, competition activities, and the development of innovative features. In promoting health-care quality, the hospital emphasizes patient safety, encourages a culture of reporting abnormal events, conducts benchmarking tests, and fosters talent development. In addition, Shuang Ho Hospital actively participates in various competitions, encourages hospital-wide participation in quality improvement, and provides comprehensive rewards. Regarding innovative feature development, the hospital promotes intelligent health care, shared decision-making, and Choosing Wisely initiatives to enhance the effectiveness of health-care services. In the future, Shuang Ho Hospital will continue to collaborate with other health- care organizations to establish a platform for sharing and exchanging ideas to promote health-care quality and patient safety, with the goal of providing high-quality, world-class health care services.</p> <p> </p>

Development of a plastic scintillating optical fibers array dosimeter for radiobiology

In this work a detector prototype built as an array of Scintillating Plastic Optical fibers (SPOFs) is presented. The primary aim of this detector is to improve spatial resolution, provide real-time dose mapping and a tissue equivalent detector in radiobiology experiments. Details on the design and construction are provided along with the initial tests carried out using low-energy X-ray and electrons from a 90Sr source. Regarding the design and construction of the detector, the mechanical design of the irradiation box is presented and the Quality Assurance (QA) the optical fiber arrays were subjected to is discussed. The QA measurements show that the alignment of the optical fibers is within acceptable tolerances for dose readout. After the detector assembly, correction factors for each fiber were extracted from tests using a collimated X-ray beam. Special care was taken to ensure that each fiber is submitted to the same dose. Broad field tests show that the measurements are reproducible to within 3 %. Potential innovative features of this system for radiobiological experiments are discussed as well as the future follow-up of the prototype.

Innovative features of corporate identity development

In 2024, a clear and recognisable visual identity becomes a key factor for success for any brand. Traditional approaches to developing a corporate style are no longer as effective as they once were, so there is a need for fresh and innovative solutions. This research aims to elucidate the interrelationships between various elements of corporate identity. The methodology encompasses generalisation, identification of common patterns based on acquired data, and logical analysis of existing knowledge. The research methods employed include a comprehensive analysis of specific works to isolate fundamentally similar operations. Furthermore, model the commonality of corporate style and its components as an integrated system to identify the forms of new elements. This study involves an in-depth examination of theoretical materials and a detailed analysis of case studies, focusing on key features that render the development of corporate identity innovative. These include visual identity, flexibility, storytelling, authenticity, universal design, personalisation, VR, AR, AI, and sustainability. Visual identity ensures brands are recognisable and memorable. Flexibility allows brands to adjust their visual elements across various platforms, maintaining consistency. Storytelling and authenticity build trust and loyalty by conveying a brand’s history and values. Universal design enhances reach by being inclusive. Personalisation tailours identity to individual preferences, creating relevant experiences. VR and AR offer immersive experiences, enhancing brand engagement. AI facilitates dynamic brand elements that evolve based on real-time data. A sustainable approach aligns brands with consumer demand for eco-friendly practices. In summary, the innovative development of corporate identity is characterised by a multifaceted approach that integrates visual identity, adaptability, storytelling, inclusivity, personalisation, immersive technologies, AI, and sustainability. Each of these elements contributes to a cohesive and compelling brand presence that resonates with contemporary consumers. Implementing these innovative principles to carry out projects will help create a unique and dynamic corporate style that stands out in the competitive market, emotionally influences the audience, and contributes to success

Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: a cumulative prospect theory

Purpose This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk factors versus that of motivation and innovation characteristics influencing travelers’ approach behaviors toward ChatGPT. Design/methodology/approach A cumulative prospect theory was used to determine travelers’ responses to ChatGPT. This study, using a fuzzy-set qualitative approach, explored risk, motivation and innovation factors as determinants of approach behaviors for ChatGPT. Findings Findings revealed that risk, motivation and innovation factors were the key triggers of approach behaviors for ChatGPT. An intricate combination effect of the perceived risk, motivation and innovation characteristics was found, and the necessary predictors were determined. Practical implications The findings of this study will expand our current knowledge and offer practical insights for the development of ChatGPT in the hospitality and tourism sector. Originality/value This study makes a significant contribution to the existing literature by providing a nuanced understanding of the intricate interplay between the various factors that shape customer behavior in the context of technology adoption in hospitality and tourism studies.

Exploring the Impact of DotStore: A Case Study on E-Commerce Innovation

Abstract: This research paper investigates the transformative role of DotStore, an emerging e-commerce platform, in revolutionizing online retail. DotStore's innovative features, user-centric design, and customizable solutions have disrupted traditional e-commerce paradigms, offering businesses unprecedented opportunities for growth and success. Through an indepth analysis of DotStore's functionalities, case studies, and market trends, this paper elucidates the platform's impact on the digital marketplace, shedding light on its implications for future e-commerce development.

A Kotlin and Firebase Based Project Discovery Platform with Cosine Similarity-Based Recommendation

Abstract: In today's interconnected world, mobile applications have become integral to our daily lives, revolutionizing how we communicate, work, and collaborate. we present an Android application utilizing Kotlin, Firebase, and a cosine-based recommendation system to address the challenge of project collaboration and discovery. The application aims to provide users with a seamless and personalized experience, empowering them to discover, collaborate on, and contribute to projects aligned with their interests and expertise. By integrating Firebase, the application ensures real-time data synchronization, secure authentication, and cloud storage capabilities, enhancing user experience. The implementation of a cosine-based recommendation system further enhances project discovery by analyzing user profiles and project data to generate personalized recommendations. This paper offers insights into the architecture, methodology, and implementation details of the Android application, highlighting its innovative features and technologies for collaborative project management.

Research and Development of E-commerce Website

Abstract: Once upon a time, we were going to market to buy or sell our essentials or household items at a very nominal price. The market was organized once or twice a week. After this era, when we needed something, we would go to the shop and buy anything that we needed. And now, the internet has already been discovered. This has changed the life of every individual on this planet. After the coming of the internet, every year, some new technologies are coming with new innovative features that fulfill our requirements easily and make us more comfortable. Web development is one of them. By using this technology, e-commerce websites are designed. E-commerce has grabbed the economical market of shopping. Through these websites, buyers can buy or sellers can sell anything at very fair prices that they will buy or sell accordingly. This research paper includes introduction, literature survey, definition, system design, management, implementing steps, payment procedure, problems and many more about e-commerce.

Industrial and academic approaches to the search for alternative melatonin receptor ligands: An historical survey.

The search for melatonin receptor agonists formed the main part of melatonin medicinal chemistry programs for the last three decades. In this short review, we summarize the two main aspects of these programs: the development of all the necessary tools to characterize the newly synthesized ligands at the two melatonin receptors MT1 and MT2, and the medicinal chemist's approaches to find chemically diverse ligands at these receptors. Both strategies are described. It turns out that the main source of tools were industrial laboratories, while the medicinal chemistry was mainly carried out in academia. Such complete accounts are interesting, as they delineate the spirits in which the teams were working demonstrating their strength and innovative character. Most of the programs were focused on nonselective agonists and few of them reached the market. In contrast, discovery of MT1-selective agonists and melatonergic antagonists with proven in vivo activity and MT1 or MT2-selectivity is still in its infancy, despite the considerable interest that subtype selective compounds may bring in the domain, as the physiological respective roles of the two subtypes of melatonin receptors, is still poorly understood. Poly-pharmacology applications and multitarget ligands have also been considered.