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This study aims to determine the influence of personal selling, customer response, and customer interest on customer decisions in activating the BRImo application.  Research is a type of quantitative research. A sample of 100 respondents using GForm from a total population of 3100. by accidental random sampling. The method uses multiple linear regression with statistical tests and classical assumptions. Classic assumptions are not a problem. The results showed that customer responses and customer interest were significantly positive in influencing customer decisions in activating the BRImo application, while personal selling had a positive effect was not significant. The F test shows that the simultaneous influence of personal selling, customer response and customer interest in customer decisions is significant, which is 70.298 with a significant value of 0.00< 0.05. The coefficient of determination is 0.687. This shows that the customer's decision can be explained by 68.7% by personal selling, customer response, and customer interest. The remaining 0.313 or 3.13% is explained by other variables outside the model, such as customer knowledge and education. The most dominant variable in influencing customer decisions is the customer response, which is shown to be a regression coefficient of 0.354 with a t-count of 4.153.

In the context of rapidly evolving mobile technology, memory management has become an important aspect that determines the efficiency and effectiveness of Android operating systems, particularly on mid- range smartphones. The objective of this research is to identify, analyze and develop memory management strategies that can improve the performance of the Android operating system on resource-constrained devices. Using an experimental approach, this study evaluates various memory management techniques, including the use of optimized caches, memory compression, and page replacement algorithms, to determine the most effective combination to improve system responsiveness and performance. The results show that the implementation of appropriate memory management strategies can significantly improve operating system performance and user experience while extending battery life. These findings provide valuable information for application developers and device manufacturers to optimize their products for mid-range smartphone competition.

The application "Android-Based World State Flag Recognition" aims to provide users with information about the flags of countries around the world. The app is designed with a great interface and uses image recognition technology to identify flags. Users can explore flags, get brief historical information, and improve their knowledge of the visual aspects of the country's identity. The app uses up-to-date online resources to ensure the accuracy and relevance of flag information. The search feature allows users to quickly find the flag of a particular country. In addition, the app provides an exam mode to test the user's knowledge with a short quiz about flags. With the integration of Android technology, users can access this application easily on various mobile devices. The main goal is to provide an interactive and fun learning experience around the visual identity of the countries of the world.

In the digital era, mobile operating systems (OS) play a pivotal role beyond mere application execution platforms. They are essential for optimizing energy efficiency and enhancing security, particularly in the realm of mobile banking. This paper explores the critical role of mobile OS in supporting sustainable economic growth through efficient energy use and robust security measures in mobile banking transactions. The focus is on how these OS advancements contribute to a secure and environmentally responsible digital economy. Key aspects covered include energy optimization strategies, security enhancements such as data encryption and multi-factor authentication, and the integration of these technologies into mobile banking applications. By addressing these challenges, mobile OS not only ensures sustainable economic development but also fosters financial inclusivity and security in an increasingly digital world.    

The implementation of digital health insurance systems represents a pivotal shift in healthcare management globally, aiming to streamline processes, enhance accessibility, and mitigate financial barriers to healthcare services. This study investigates the impact of digital health insurance on health expenditure and health security in Bangladesh, a country striving to improve its healthcare infrastructure and financial accessibility. However, in Bangladesh health insurance does not exist and people has to bear all treatment cost alone. The insurer in development countries is changing its role toward a more preventive and connected approach. Connected or digital health insurance has the potential to contribute toward better health and the general well-being of the population. Digital technologies are evolving and innovative applications are transforming the medical and health insurance sector. New technologies like wearable, mobile platforms and IoT base health monitoring systems can help to deal with several critical issues of the rising number of people, patients with chronic disease, and aging people, the insurer can help them to be healthier and protect them by insurance coverage. This study aims to look at the innovation of Health insurers and how they include themselves in the health ecosystem that adds value for the insured and patients globally, and can proposed a model that can introduce in Bangladesh.

Exploring the concept of the Windows serverless operating system as a solution in the development and deployment of modern applications. Through a quantitative approach, this study evaluates how serverless technology can improve efficiency, reduce costs, and speed up the application development process. Using case studies and data analysis, this study provides practical guidance for developers and organizations in adopting serverless architectures in Windows environments.    

The process of handling financing aims to identify strategies for addressing problematic financing in savings and loan cooperatives or BMT (Baitul Maal Wat Tamwil). The research method employed is qualitative, utilizing structured interviews, field observations, and documentation for data collection. The primary factors contributing to problematic financing in BMTs are identified as internal factors (suboptimal analysis of documents and adherence to financing standard operating procedures) and external factors (dishonesty and untrustworthiness among members, malicious intentions, procrastination by members, and unintentional factors such as relocation and natural disasters). Handling strategies involve communication via mobile phones (WhatsApp messages or calls), issuing warning letters, and executing collateral. Efforts to mitigate problematic financing include strict adherence to standard operating procedures, adequate task allocation, the application of prudence principles, and enhancement of employee skills.

This research aims to develop an efficient battery monitoring system using the ESP8266 module and INA219 sensor. Monitoring the battery condition effectively is crucial in various applications, especially in portable systems or isolated systems where real-time supervision is required. The method used in this research is the utilization of the ESP8266 module as the main microcontroller connected to the INA219 sensor to monitor the battery voltage, current, and power in real-time. The data obtained by the INA219 sensor is transmitted through the WiFi network managed by ESP8266 to a server or monitoring platform accessible to users via Blynk a web-based application or mobile application. The test results show that the system is capable of providing accurate information about the battery condition, including the charge level, usage current, and potential issues such as overcharge or undercharge. The implementation of this system is expected to be applicable in various applications, including renewable energy systems, portable devices, and electric vehicles, to improve battery performance and safety. The INA219 module as a voltage and current sensor found a voltage reading error percentage with a range of 0%-0.66% and an average of 0.18%. For readings at current with an error range of 0.91%-7.57%. For internal resistance readings which are calculated based on dividing the clamp voltage value by the circuit current, an error range of 0.04% -30.36% is found.

This research develops an indoor air quality monitoring notification system for production rooms based on the Internet of Things (IoT) using the ESP8266. The system is designed to detect and provide early warnings of air pollution in production rooms. The Sharp GP2Y1010AU0F sensor is used to measure the concentration of dust particles in the air. Data from the sensor is sent to the ESP8266 module connected to the internet. This information is then forwarded to the Blynk application, enabling real-time monitoring through mobile devices. If the dust concentration exceeds the predetermined threshold, the system will activate the buzzer as an alarm. Test results show that this system can provide accurate and responsive notifications, thus helping to improve safety and health in the production environment.

Waste Bank is an institution that plays an important role in waste management. Kedungmaling village is a village located in Mojokerto district, East Java province, Kedungmaling Waste Bank was established in 2019 and its head is the PKK organization of Kedungmaling village. Some research has been conducted with a case study of a Waste Bank to improve the performance of waste banks that still carry out their business processes conventionally. Most previous research focused on making waste bank applications but still used Kotlin programming language and fire base web service as the database. This research uses the React Native framework to create mobile applications and uses the Rest API as a database. The application design uses the SDLC method with a waterfall model. Application testing using black box gets a percentage of 97% of 89 scenarios and Rest API testing assisted by the postman application gets a percentage of 100% of 94 scenarios. With this application, it can help officers in managing waste and facilitate customers in managing their balances.

This research emphasizes the importance of health for every individual, as good health facilitates daily activities. One crucial aspect of health is physical health, which includes being free from various diseases. With the increasing public interest in traditional medicine, the information regarding the public's knowledge about traditional medicine also needs to be enhanced. Therefore, this research aims to develop a mobile-based traditional medicine information system at UPKM/CD Bethesda YAKKUM as an information medium for the wider community. The method used for system development in this research is the waterfall method, which involves stages such as concept, design, data collection, creation, and testing. The developed application is a mobile-based traditional medicine information system, designed to help introduce traditional medicine in Indonesia. This application is designed to be easily accessible without the need to worry about internet connection or data charges, and it can be used in various regions. The result of this research is a mobile-based information system application that provides information about traditional medicine for various diseases. This application includes information on types of medicinal plants, their benefits, and explanatory videos, making it easier for the public to learn about and understand traditiona l medicine.

Effective knowledge management is crucial for maintaining competitiveness in today's digital era. PT. Pesona Edukasi, as a developer of educational software, faces challenges in managing and disseminating knowledge among their frequently mobile IT Helpdesk team. To address this, this research aims to implement a Mobile Knowledge Management System using the Rapid Application Development (RAD) approach at PT. Pesona Edukasi.The RAD method was chosen to enable rapid, flexible, and responsive application development to meet changing business and technological needs. This study includes needs analysis, system design, prototype development, and application evaluation to ensure its effectiveness in enhancing access and collaboration in knowledge dissemination throughout the company. The results of the research, following the application implementation, demonstrate a positive contribution to improving operational efficiency and IT service quality at PT. Pesona Edukasi, accelerating knowledge exchange and enhancing the productivity of the IT Helpdesk team. 

Mobile applications trend are currently happening due to increased number of people holding smartphones. But this does not mean the end of web and desktop users. Mobile, web and desktop apps will always have its own market and users in manipulating data. The challenges for software developers are how to deliver software to all of those platforms as fast as possible. Efficiency is key in this research, that is to develop a hybrid app. Black box testing will be used in this research to make sure that efficiency is gained throughout the process compared to developing for each platforms independently. Through this research, hopefully can help software developers to develop and deliver applications for user efficiently in a short amount of time.

This study aims to apply the K-Nearest Neighbors (KNN) algorithm to predict stunting status in young children based on height and weight data. Stunting is a growth failure condition caused by chronic malnutrition that negatively impacts children's physical and mental development. The dataset includes height, weight, and stunting status of children. The results show that the KNN model with k=3 achieved 100% accuracy on the test data. Evaluation using the confusion matrix and classification report indicates perfect precision, recall, and F1-score for each class. Data normalization with StandardScaler improved the model's performance by ensuring all features are on the same scale. The KNN algorithm proves to be a simple yet effective method for predicting stunting, demonstrating significant potential for early detection and health intervention in children. This study recommends using a larger and more diverse dataset, as well as incorporating additional relevant features to enhance model accuracy. Implementing the model in a web or mobile application is also suggested to assist healthcare professionals in the field.

The Hajj and Umrah industry is an important sector involving millions of pilgrims every year. The complexity of organizing this worship service requires improved services and effective risk management to ensure the smooth running and comfort of the congregation. This research aims to explore strategies for improving services and risk management in the Hajj and Umrah industry. The research method used is qualitative with literature studies from various trusted sources. The research results show that service quality is greatly influenced by staff friendliness, service reliability, facility cleanliness, and timeliness. In addition, identifying and mitigating health, security and logistics risks is critical to reducing negative impacts on congregations. Technological innovations, such as mobile applications, have also been proven to improve efficiency and service quality. This research provides recommendations for the government and Hajj and Umrah organizers to improve service quality and risk management, so that pilgrims can carry out their worship more safely and comfortably.    

Background: Telemedicine is a long-distance health service carried out by health professionals using information and communication technology, and this is also expected to include the exchange of information for diagnosis, treatment, prevention of injury and research as well as evaluation of education. Research objective: is to determine the analysis of the level of community satisfaction with the implementation of the Telemedicine technology health service application (Mobile JKN) in Sanggrahan Village. The specific objective of this research is to find out: To determine the percentage of community satisfaction and dissatisfaction with the implementation of the telemedicine technology health service application ( Mobile JKN) in Sanggrahan Village. To find out the percentage of good or bad implementation of the Telemedicine technology health service application (Mobile JKN) in Sanggrahan Village. Method: This research is quantitative research with a survey approach. This research aims to collect numerical data to measure an analysis of the level of community satisfaction with the implementation of the Telemedicine technology health service application (Mobile JKN) in Sanggrahan Village. Results: Based on data analysis and discussion, the results of the research can be stated. It can be seen from the values ​​presented, the researcher found that good service quality will provide satisfaction for users. Conclusion: An overview of the level of community satisfaction in Sanggrahan Village is high for 50 respondents (100% ).The description of the implementation of the Mobile JKN application in Sanggrahan Village is mostly high with 40 respondents (80%). There is a relationship between community satisfaction with the implementation of the telemedicine technology health service application (Mobile JKN) in Sanggrahan Village, with a p-value of 0.000 (<0.05 ).

With the rapid development of technology and the Internet, more and more people are using electronic payments as a convenient solution for online transactions. The aim of this research is to show and analyze how service quality influences user satisfaction with the DANA electronic payment application. DANA is a platform that supports non-cash payments and mobile payments. This research uses quantitative methods by collecting data through questionnaires distributed to 30 Banten students using DANA. Data analysis was carried out using multiple regression as well as the t test, F test, and coefficient of determination test. The research results show that reliability, guarantee, and responsiveness can have a significant impact on user satisfaction. Overall, reliability, security, and responsiveness also have a significant impact on user satisfaction.

The rapid growth of e-commerce has significantly transformed consumer behavior, particularly among university students. This study examines how e-commerce platforms affect the interest and shopping preferences of students of the Faculty of Economics and Islamic Business, UIN Sultan Maulana Hasanuddin Banten. By analyzing data from surveys conducted among students, the research identifies key factors that drive their engagement with online shopping. These factors include convenience, variety of products, competitive pricing, and the ease of comparing different products. The study also highlights the role of technological advancements, such as mobile applications and secure payment gateways, in enhancing the online shopping experience. Furthermore, it explores the psychological aspects, such as the excitement of online deals and the influence of social media advertising, on students' shopping habits. The findings suggest that e-commerce has not only increased the frequency of students' purchases but also diversified their buying patterns. However, the study also addresses potential challenges, such as the risk of overspending and the impact of impulsive buying. Overall, the research provides valuable insights into the evolving landscape of consumer behavior in the digital age, emphasizing the importance of e-commerce in shaping the shopping interests of the younger generation.      

This research aims to test whether system quality and service quality influence user satisfaction and have a net beneficial impact on mobile banking application users. The type of research in this research is quantitative. The results of this research show that there is a significant influence on system quality on user satisfaction, there is a significant influence on service quality on user satisfaction, there is a significant influence on system quality on net benefits, there is no significant influence on service quality on net benefits, there is no significant influence on user satisfaction on net benefits, user satisfaction is unable to mediate system quality on net benefits is not significant, and user satisfaction is not able to mediate service quality on net benefits is not significant.

Currency classification is one of the challenges in the field of digital image processing and computer vision which can be applied in various applications, such as ATM machines, automatic money exchange machines, and mobile banking applications. This research aims to develop a classification model that is able to differentiate between 5000 thousand rupiah and 2000 thousand rupiah currency using the Convolutional Neural Network (CNN) algorithm. CNN was chosen because of its ability to recognize complex visual patterns and specific features from images. The dataset used in this research consists of 10 currency images of 5000 thousand rupiah and 10 images of 2000 thousand rupiah taken in lighting conditions and viewing angles vary and are classified into 2 classes. The data is then processed and normalized to increase model accuracy. The proposed CNN model, namely the Squential Model, consists of several convolution layers, pooling layers, and fully connected layers which are optimized to detect visual differences between the two types of currency.