Rapid Application Research Articles

How Epistemic Community Shapes Global Governance of AI in Military Domain?

Abstract The rapid development and applications of artificial intelligence (AI) technology in the military realm pose significant technical, ethical, and geopolitical risks. This article examines how members of the epistemic community, particularly Chinese academic and policy players, influence and shape the governance of AI’s military applications. Using social network analysis and comparative case studies, this research explores China’s interactions with its Western and non-Western counterparts, comparing their engagement in knowledge production as well as the construction of cooperative mechanisms. Our findings reveal that while Chinese stakeholders are quickly developing within the epistemic community, they lag behind their international counterparts in terms of knowledge production and their patterns of interaction within the global network. These Chinese members could strengthen their contribution by using a wider range of platforms to engage stakeholders and collaborate with international peers to produce knowledge about military AI. Our research is based on an original dataset of international academic and policy collaboration in AI’s military applications since 2013. This dataset will support and expand future research in this area.

Research on the Impact of Digital Transformation on Enterprise Operational Efficiency

With the rapid development and application of information technology, digital transformation has become a key strategy for enterprises to cope with future challenges and achieve sustainable development. This article will delve into the impact of digital transformation on the operational efficiency of enterprises, analyze the opportunities and challenges it brings, and propose corresponding response strategies. By introducing advanced digital technologies such as intelligent systems, data analysis, and automated processes, enterprises can optimize operations, reduce costs and increase efficiency, enhance customer experience, and promote the emergence of new business models. However, digital transformation is also accompanied by issues such as technological updates, management, and cultural changes. Therefore, enterprises need to carefully plan and effectively respond to achieve operational innovation and upgrading.

Information System for Managing Incoming and Outgoing Mail at the Central Statistics Agency of West Sumba Regency

BPS West Sumba Regency still manages mail manually, facing issues of efficiency, transparency and accuracy. Manual processes risk document loss and recording errors. This research aims to identify problems and recommend an integrated information system. This innovation is expected to increase productivity, reduce errors, and speed up decision-making at BPS. Rapid Application Development (RAD) is a software development model that focuses on accelerating processing time. This approach combines object-oriented development methods and structured techniques to accelerate the process of creating a system or application. The research showed that the implementation of the new information system at BPS West Sumba Regency improved operational efficiency. Mail processing time dropped from 3 hours to 1 hour, and the error rate was reduced from 15% to 2%. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation and collaboration. The system also strengthened and improved transparency.

Novel Clinical Manifestation and Favorable Treatment Outcome of Cochlear Implant in a Chinese Family With Likely Pathogenic Variant of the P2RX2 Gene.

The rapid development and clinical application of sequencing technologies enable the genetic diagnosis of inherited deafness. P2RX2, as the gene responsible for autosomal dominant non-syndromic deafness-41 (DFNA41), has been proven to be essential for life-long normal hearing and for the protection of noise-induced hearing loss (NIHL). Our present study reports a missense variant in the P2RX2 gene (c.178G > T (p.V60L)), for the second time worldwide, in a five-generation kindred living in Henan, China. Despite carrying the same variant, the affected members in this family appear to present with earlier-onset hearing loss and poorer hearing compared to the original DFNA41 families. In addition, this study supplements some content that was not covered in previous reports. We quantitatively evaluated the pain perception ability of some members using the Pain Vision PS-2100 system, and further found an interesting clinical manifestation, that is, hyperalgesia, in heterozygotes for P2RX2 p.V60L. The cochlear implant (CI) was also provided for the proband of profound deafness, resulting in satisfactory clinical outcomes. Finally, we carried out a systematic review of recently published articles on the P2RX2 gene, which is beneficial for better understanding the role of the P2RX2 gene in the auditory system and the pathogenic mechanisms in sensorineural hearing loss (SNHL).

A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction events.

In the medical context where polypharmacy is increasingly common, accurately predicting drug-drug interactions (DDIs) is necessary for enhancing clinical medication safety and personalized treatment. Despite progress in identifying potential DDIs, a deep understanding of the underlying mechanisms of DDIs remains limited, constraining the rapid development and clinical application of new drugs. This study introduces a novel multimodal drug-drug interaction (MMDDI) model based on multi-source drug data and comprehensive feature fusion techniques, aiming to improve the accuracy and depth of DDI prediction. We utilized the real-world DrugBank dataset, which contains rich drug information. Our task was to predict multiple interaction events between drug pairs and analyze the underlying mechanisms of these interactions. The MMDDI model achieves precise predictions through four key stages: feature extraction, drug pairing strategy, fusion network, and multi-source feature integration. We employed advanced data fusion techniques and machine learning algorithms for multidimensional analysis of drug features and interaction events. The MMDDI model was comprehensively evaluated on three representative prediction tasks. Experimental results demonstrated that the MMDDI model outperforms existing technologies in terms of predictive accuracy, generalization ability, and interpretability. Specifically, the MMDDI model achieved an accuracy of 93% on the test set, and the area under the AUC-ROC curve reached 0.9505, showing excellent predictive performance. Furthermore, the model's interpretability analysis revealed the complex relationships between drug features and interaction mechanisms, providing new insights for clinical medication decisions. The MMDDI model not only improves the accuracy of DDI prediction but also provides significant scientific support for clinical medication safety and drug development by deeply analyzing the mechanisms of drug interactions. These findings have the potential to improve patient medication outcomes and contribute to the development of personalized medicine.

Optimizing Irrigation Infrastructure Management with Web-Based Technologies and OpenStreetMap Integration

Irrigation is essential for increasing agricultural productivity in Indonesia, directly impacting national food security and farmer welfare by ensuring the sustainability of irrigation systems. Despite its importance, significant challenges persist, including damage to 46% of the irrigation infrastructure across 7.1 million hectares, with responsibilities divided among central, provincial, and city governments. These challenges are compounded by issues such as inadequate information access, limitations in real-time monitoring, and poor stakeholder coordination. To address these issues, integrating technological tools such as Geographic Information Systems (GIS) and platforms such as OpenStreetMap (OSM) is essential. These technologies offer real-time information, facilitate land change tracking, and enable spatial mapping, which supports proactive management and planning while improving decision making through data-driven insights. The adoption of Rapid Application Development (RAD) and Decision Support Systems (DSS) further enhances the efficiency of irrigation system management. The RAD methodology ensures swift development cycles with user interaction, while DSS provides structured decision-making capabilities. This approach supports robust system design, user interface development, and geographic data visualization. In practice, efficient data collection and stakeholder participation enable the system to effectively report and track irrigation conditions, promoting public participation, and fostering long-term infrastructure sustainability. The developed online monitoring system demonstrates its effectiveness by providing interactive map features and transparent reporting platforms, verified through successful implementation of testing scenarios. This system not only improves infrastructure management in areas like Batu City, but also sets a precedent for scalable participatory irrigation solutions, creating a foundation for future enhancements.

Implementation of a Web App for Children’s Management and Engagement for Pagsanjan Laguna

The study “Implementation of a Web App for Children’s Management and Engagement for Pagsanjan Laguna” was conducted with the primary aim of developing and implementing the Arriola-Robles Children's Clinic Web App to enhance clinic management and patient engagement in Cabanbanan, Pagsanjan, Laguna. Using technology in medical care helps reduce malpractice, costs, and paperwork. This also improves the quality and efficiency of medical care. Various technological applications facilitate patient data's electronic storage, transmission, and display, enabling access to health information and in-person consultations. These advancements help mitigate malpractice, reduce costs, and minimize paperwork while improving the quality and efficiency of care. This study aimed to design and develop a face-to-face medical consultation system for the Arriola-Robles Children`s clinic in Cabanbanan, Pagsanjan, Laguna. Employing a descriptive development research design, the study utilized Rapid Application Development (RAD) methodology during the system’s development phase and conducted black-box testing to evaluate functionality. The Technology Acceptance Model served as the primary framework for the evaluation phase, alongside ISO/IEC 25010:2011 for assessing software quality metrics. The findings revealed an overall weighted mean of 4.73, indicating a “Strongly Agree” consensus among target users regarding the face-to-face consultation system's potential to enhance the existing consultation processes at Arriola-Robles Children’s clinic.

Distilling the knowledge from large-language model for health event prediction

Health event prediction is empowered by the rapid and wide application of electronic health records (EHR). In the Intensive Care Unit (ICU), precisely predicting the health related events in advance is essential for providing treatment and intervention to improve the patients outcomes. EHR is a kind of multi-modal data containing clinical text, time series, structured data, etc. Most health event prediction works focus on a single modality, e.g., text or tabular EHR. How to effectively learn from the multi-modal EHR for health event prediction remains a challenge. Inspired by the strong capability in text processing of large language model (LLM), we propose the framework CKLE for health event prediction by distilling the knowledge from LLM and learning from multi-modal EHR. There are two challenges of applying LLM in the health event prediction, the first one is most LLM can only handle text data rather than other modalities, e.g., structured data. The second challenge is the privacy issue of health applications requires the LLM to be locally deployed, which may be limited by the computational resource. CKLE solves the challenges of LLM scalability and portability in the healthcare domain by distilling the cross-modality knowledge from LLM into the health event predictive model. To fully take advantage of the strong power of LLM, the raw clinical text is refined and augmented with prompt learning. The embedding of clinical text are generated by LLM. To effectively distill the knowledge of LLM into the predictive model, we design a cross-modality knowledge distillation (KD) method. A specially designed training objective will be used for the KD process with the consideration of multiple modality and patient similarity. The KD loss function consists of two parts. The first one is cross-modality contrastive loss function, which models the correlation of different modalities from the same patient. The second one is patient similarity learning loss function to model the correlations between similar patients. The cross-modality knowledge distillation can distill the rich information in clinical text and the knowledge of LLM into the predictive model on structured EHR data. To demonstrate the effectiveness of CKLE, we evaluate CKLE on two health event prediction tasks in the field of cardiology, heart failure prediction and hypertension prediction. We select the 7125 patients from MIMIC-III dataset and split them into train/validation/test sets. We can achieve a maximum 4.48% improvement in accuracy compared to state-of-the-art predictive model designed for health event prediction. The results demonstrate CKLE can surpass the baseline prediction models significantly on both normal and limited label settings. We also conduct the case study on cardiology disease analysis in the heart failure and hypertension prediction. Through the feature importance calculation, we analyse the salient features related to the cardiology disease which corresponds to the medical domain knowledge. The superior performance and interpretability of CKLE pave a promising way to leverage the power and knowledge of LLM in the health event prediction in real-world clinical settings.

Donation Raising Application Using Rapid Application Development (RAD) Method Based on Mobile Application

Indonesia is one of the countries that has a high social spirit in doing gotong royong. Its people love to help and build social welfare. There are several activities that prioritize the principle of gotong royong in society, one of which is donation-raising activities. Many institutions still collect donations in a conventional way. This can be an obstacle for donors because not all institutions or communities that collect funds are in the same area and the reach is relatively small. Lack of public trust is also a reason because of the rampant fraud on behalf of institutions and foundations, so that it can hamper the raising of donations. To overcome these problems, a new system is needed that can be applied to the community. A fundraising platform is needed to make it easier for people to donate easily and efficiently. The Rapid Application Development (RAD) method is used in its development. System development uses the Kotlin programming language and uses a realtime Firebase database to manage the data. With this system, the mobile application can facilitate and provide access to the community in making donations online without collecting manually, raising donations can also provide a wider range of donations.

Comparative Study of C++ and C# Programming Languages

This comparative study explores the similarities and differences between two widely-used programming languages: C++ and C#. While both languages are integral to modern software development, they cater to different development environments and paradigms. C++, a general-purpose programming language, is known for its performance efficiency and low-level memory management, making it ideal for system software, embedded systems, and performance-critical applications. In contrast, C#, a high-level language developed by Microsoft, is primarily used in the .NET ecosystem for building Windows applications, web services, and enterprise solutions. This study examines various aspects of both languages, including syntax, memory management, performance, ease of use, and application domains. By analyzing these parameters, the paper aims to provide a comprehensive comparison that highlights the strengths and weaknesses of C++ and C# in different programming contexts. Additionally, the study discusses the role of both languages in modern development environments and their suitability for various types of projects. The findings suggest that while C++ remains the preferred choice for performance-sensitive applications, C# offers a more user-friendly environment for rapid application development, particularly in enterprise and web-based applications.

Quercetin nanocrystal-loaded alginate hydrogel patch for wound healing applications.

Wound healing can often be delayed due to non-favourable physiological conditions. Current treatment strategies have many limitations, and the development of novel therapeutic patches is urgently required. Herein, we have developed a hydrogel-based wound healing patch containing quercetin nanocrystals to enhance quercetin solubility, leading to sustained release and improved bioactivity. Due to the anti-oxidant properties of quercetin, a sustained release of the drug is highly beneficial for the rapid repair of wounds by reducing oxidative stress. Quercetin nanocrystals with a size of 600-800 nm were synthesized that demonstrated sustained release of quercetin when fabricated in a hydrogel patch. This has been utilized for in vivo wound repair in rat and mouse models of skin wounds. Overall, our study demonstrates the usability of a novel therapeutic hydrogel patch containing phytochemical-based nanocrystals for rapid wound healing applications.

Pengembangan Sistem Informasi E-Permit Menggunakan Metode Rapid Application Development Pada Polsek Semendawai Suku III

The service system for making a crowd permit at the Semendawai Sector III Police is inefficient because people have to come and queue to make the letter. This can slow down the administrative flow, resulting in less public satisfaction with the services of the Semendawai Sector III Police. Therefore, this study aims to develop an e-permit information system to overcome this problem by using the Rapid Application Development (RAD) method. This system can help people apply for a crowd permit online without having to come to the office and send automatic notifications to applicants when the crowd permit is ready to be picked up. The results of the system development using the Rapid Application Development (RAD) method show that this system runs according to needs and accelerates the process of issuing crowd permits so as to provide more optimal and responsive services to the public.

Implementasi Sistem Pendataan Transaksi dan Pengelolaan Stok Menggunakan OutSystems Berbasis Website

Transaction recording, stock management, and monthly transaction reporting are critical activities that support a company’s operational workflow. At PT. Bintang Permata Semesta, these activities are still conducted manually, leading to difficulties in accessing real-time data, as well as increasing the potential for operational errors. With technological advancements, web-based systems have emerged as effective solutions to streamline these processes. This research focuses on the development of a web-based transaction recording and stock management system using OutSystems, a low-code visual development platform designed for rapid application creation. The system developed includes features such as transaction recording, automatic stock calculations, data searching and filtering, low-stock level notifications, and automatic monthly transaction report generation. Additionally, the website is synchronized with cloud services, enabling access anytime and anywhere via desktop or mobile devices. The research utilizes a qualitative method, gathering primary data through structured interviews, direct observations, and literature reviews. The software development method used is Personal Extreme Programming (PXP). The resulting system aims to assist employees in both the main and branch offices with more efficient transaction recording, real-time stock monitoring, and report generation. This implementation highlights the benefits of using OutSystems to create a dynamic and user-friendly web-based system, ultimately improving operational efficiency within the company.

Dentaltrack web-based application in managing dental health laboratory tools and materials

Practice consumables are materials or goods that can only be used once or several times. Dental Health Education Laboratories in Indonesia still do not have a good system in managing the practice tools and materials used in their operations and are carried out manually, resulting in frequent stockouts. A web-based dental health laboratory practice tool and material management application is an information system designed to overcome problems and improve the quality of practice tool and material management in dental health education laboratories. Objective: The study aims to develop a web-based dental health laboratory practice tool and material management application and implement a web-based dental health laboratory practice tool and material management application in the Dental Health Department. This research method uses the RAD (Rapid Application Development) method for the reason of shortening the system processing time and with UML (Unified Modeling Language) as its development tool. While the application itself is made using the PHP & MySQL programming languages ​​and Ajax to help the automatic data retrieval process. This study produces a web-based Dentaltrack application that is able to integrate all parts of the dental health education laboratory service so that it can increase the effectiveness of services to dental health students. Keywords: Dentaltrack, application, managing, dental health, laboratory

Implementation of a Web-Based Student and Teacher Attendance System With QR Code Integration using the RAD

This study aims to implement a web-based student and teacher attendance system with QR Code integration at SMK Muhammadiyah Campaka, Purwakarta. Currently, the school still uses a manual attendance system that is proven to be inefficient, time-consuming, prone to human error, and difficult to monitor in real-time. The proposed system is expected to overcome these problems by increasing the efficiency of managing and monitoring student attendance data. The Rapid Application Development (RAD) approach is used in developing this system, which allows for a faster and more flexible development process. QR Code was chosen as the attendance method because it can speed up attendance recording and reduce data input errors. The results showed that the new system succeeded in reducing attendance recording time by 50%, from an average of 10 minutes to only 5 minutes per class. In addition, the recording error rate was reduced by more than 70%, from the previous 36% to only 9% after the system was implemented. This system also allows attendance reports that can be accessed in real-time, supporting increased efficiency in the school environment. With the implementation of this system, it is hoped that the attendance process will be faster, more accurate, and easier to monitor, which in turn can improve the quality of education management at SMK Muhammadiyah Campaka.

Rancang Bangun Aplikasi Sistem Informasi Desa Berbasis Web di Desa Kalimati

This study focuses on designing and developing a web-based information system for Kalimati Village using the Rapid Application Development (RAD) method. Data collection was conducted through interviews and field observations to identify system requirements. The design process employed Unified Modeling Language (UML) to model system workflows and structures, including use case and activity diagrams. The system, built with the Laravel 10 framework, features village profiles, population data, news, galleries, MSMEs, and APBDesa management. Using the RAD method enabled rapid development with iterative feedback from stakeholders, ensuring the system met village needs. This web-based platform improves data management efficiency, enhances transparency, and provides easy digital access to essential information for residents. The implementation of this system supports modern, effective, and transparent village governance.

Development of a Data Portal System for Governance in Berau

The development of a Data Portal System for Berau Governance addresses the need for an integrated platform to effectively manage and disseminate government data. This system aims to enhance transparency, accountability, and public access to diverse datasets in alignment with the One Data Indonesia initiative. The portal consolidates various data categories, including news, announcements, agendas, publications, downloads, infographics, and visualizations, into a single platform, streamlining data access for both government agencies and the public. The system was developed using the Rapid Application Development (RAD) methodology, enabling iterative prototyping and quick adjustments based on feedback from key stakeholders. This approach ensured the system could meet the dynamic requirements of the government while remaining adaptable to future needs. The Laravel framework was chosen for its flexibility, scalability, and security features, allowing the system to provide a responsive, user-friendly experience while maintaining high levels of data integrity.The Data Portal System significantly improves the local government’s ability to manage and share information, fostering greater civic engagement and enhancing public trust in governance processes. Furthermore, the system facilitates more efficient public service delivery by making key data accessible in a structured and intuitive format. Regular assessments and updates are recommended to ensure the system continues to align with evolving user needs and governmental policies, further advancing data governance in Berau Regency.

An Integrated Operations Management System for Enhancing Administrative Efficiency in Ghana's District Assemblies

The COVID-19 pandemic, driven by the SARS-CoV-2 virus, necessitated an unprecedented shift to remote work, revealing critical gaps in digital infrastructures capable of maintaining organizational operations. This challenge was particularly pronounced in district assemblies in Ghana, where traditional, paper-based workflows impeded the transition to remote environments, heightening operational vulnerabilities. Despite the World Health Organization (WHO) downgrading COVID-19 as a Public Health Emergency of International Concern (PHEIC), the global ramifications of the virus and potential for future pandemics underscore the need for resilient, adaptable digital solutions. This paper presents an online integrated business operation management system tailored for district assemblies in Ghana. The system was developed using the Rapid Application Development (RAD) methodology, facilitating rapid, iterative deployment and user-centric design. Technologies such as HTML, CSS, and PHP were utilized for the front-end, while MySQL ensured secure and efficient back-end data management. The approach helped to digitize core administrative processes and transition from paper-based operations to streamlined electronic workflows. The implemented system successfully digitalized essential administrative workflows, improving operational continuity and efficiency. By replacing conventional procedures with robust electronic processes, the system provides a sustainable framework for enhanced functionality in public sector management. Furthermore, it strengthens organizational preparedness for future disruptions, ensuring resilience in remote and hybrid work contexts. The scope of this research is limited to district assemblies in Ghana, which may constrain the generalizability of the findings to other administrative contexts or geographical regions. Further studies could explore customization for broader governmental structures and assess long-term impacts on service delivery and user satisfaction. This paper presents a novel application of digital transformation principles within the public sector, addressing a critical gap in e-governance solutions for district assemblies in Ghana. By integrating user-focused design and scalable technology, the proposed system not only meets current administrative demands but also positions district assemblies for enhanced functionality and resilience in the face of future challenges.

Development of Accounting Information System for Matahari Store With RAD Method (Rapid Application Development)

Business company is a form of business in which business people purchase goods from vendors, then resell them to consumers without changing the form of the goods. Every business, be it large, medium to small businesses, requires an accounting system. From the accounting system, the owner can determine whether his business is running well or vice versa. One trading business that still does not use an accounting system is the Matahari Grocery Store. The accounting information system is needed by Toko Matahari to be able to compete with many other similar businesses. The method used in creating this accounting system is the Rapid Application Development method.

Integration of Battle Royale Games With Tabletop Games to Help Decision Making Skills

Effective decision-making skills are essential both in everyday life and in gaming contexts, where choices have major consequences. Board games, known for their strategic nature, provide an ideal platform to hone these skills. This research aims to understand decision-making skills using board games, using Rapid Application Development (RAD) methodology to collect data, implement updates, and improve the gaming experience. This project uses Unity to create applications that augment the gameplay. The result of this effort is a distinctive board game that differs from conventional table games, offering its players a new and exciting experience.