The main purpose of this article is to introduce the basic components of the AI-Oriented Micromanaged Development (AOMD) approach and to discuss in detail how this approach is applied in software development processes. The article will examine how AOMD is used in processes such as project management, task allocation, coding, testing, integration and deployment, and will explain how these processes are optimized with AI technologies.
Abstract The digital transformation of the banking sector has revolutionized the way fiscal deals are conducted, with online banking getting an abecedarian aspect of ultramodern fiscal services. still, this elaboration has also exposed banks to an increased threat of cyber-attacks, making cybersecurity a critical concern. This exploration paper explores the cybersecurity geography in the banking sector, fastening the security of online deals. It examines different types of cyber-attacks, including phishing, malware, ransomware, and bigwig attacks, and analyzes the strategies banks employ to mitigate these attacks. The study also discusses the part of nonsupervisory fabrics in shaping cybersecurity practices, offering a comprehensive understanding of the measures needed to cover sensitive client data and maintain trust in the fiscal system. Through an expansive literature review, the study highlights the complications of managing cybersecurity in online banking, where technological, organizational, and nonsupervisory factors cross. crucial findings reveal that while banks have made significant advancements in enforcing cybersecurity measures, challenges remain due to the evolving nature of cyber-attacks and the need for nonstop adaptation. The exploration emphasizes the significance of a multi-layered security approach that combines advanced technological results with organizational strategies similar as hand training, incident response planning, and robust nonsupervisory compliance. also, the study underscores the significance of fostering a culture of cybersecurity within fiscal institutions to alleviate mortal-affiliated vulnerabilities and enhance overall security posture.
The Attendance Face Recognition App for Talangan Integrated National High School is an application designed to track and record the attendance of those students studying at Talangan Integrated National High School. The main objective of this project is to help the school, especially the teachers, track and have a more accurate attendance record for the students. The developers use a modified waterfall model as their methodology, which includes six phases: the requirements phase, the design phase, the implementation phase, the testing phase, the deployment phase, and lastly, the maintenance phase. The project is evaluated by 40 non-IT respondents and 10 IT professionals. The developers use FURPS (functionality, usability, reliability, performance, and sustainability) to evaluate the project. The system overall gathered an average of 4.2 that is considered very acceptable by non-IT professionals and an average of 4.6 from IT professionals. This indicated that the system is not only functional and reliable, but it is also user-friendly, demonstrating good performance and supportability. Overall, the positive evaluation from both groups underscores the system's effectiveness and suitability for its intended purpose.
This research delves into the strategic imperatives for enhancing delivery service performance, focusing on integrating business-level and functional-level strategies to achieve sustainable competitive advantage. In online food delivery, where customer expectations for reliability and responsiveness are paramount, this study examines the efficacy of implementing or refining a "chaining" strategy to standardize operational procedures, particularly in logistics and resource allocation. By leveraging centralized control and standardization, delivery service providers can achieve economies of scale and improve overall efficiency. The research emphasizes the critical role of technology in optimizing service delivery. Real-time tracking, optimized routing, and demand forecasting are identified as essential tools to address peak-hour rider availability issues, a persistent challenge in the industry. Furthermore, the application of supply chain management principles is explored as a means to streamline order fulfillment and minimize delivery delays, thereby enhancing customer satisfaction. Recognizing the significance of customer interactions, this study underscores the importance of strengthening Customer Relationship Management (CRM) through targeted training programs for riders. Enhancing customer service skills and professionalism among riders is posited as a key driver of customer loyalty and positive brand perception. The research advocates for the implementation of a differentiation strategy focused on reliability and responsiveness, positioning the delivery service as a market leader in these critical attributes. Continuous improvement and data-driven decision-making are highlighted as foundational elements for achieving sustainable growth. Establishing key performance indicators (KPIs) to monitor service performance and customer satisfaction enables service providers to identify areas for improvement and implement targeted interventions. Additionally, the study addresses the issue of order accuracy discrepancies by advocating for stricter quality control measures in order preparation and fulfillment, thereby minimizing errors and enhancing customer trust. This research contributes to the understanding of how integrated strategic approaches can enhance delivery service performance and foster sustainable competitive advantage in the dynamic online food delivery market. By synthesizing insights from business-level and functional-level strategies, this study provides actionable recommendations for service providers seeking to optimize their operations and exceed customer expectations.