This study aims to improve the scholarship management process in the City of Marikina, located in the National Capital Region of the Philippines, under the leadership of Mayor Marcelino Teodoro. This paper proposes the development of a Scholarship Management System with Profile Analysis utilizing the Analytical Hierarchy Process and Decision Tree Algorithm. This system is expected to streamline applications, organize financial reporting, and optimize appointment scheduling, thus enhancing fairness, efficiency, and transparency in the scholarship awarding process. The Scholarship Management System, which leverages the Analytical Hierarchy Process and Decision Tree Algorithm, seeks to transform the traditional scholarship application process into an automated, efficient, and transparent process that not only relieves administrative burden but also facilitates fair and merit-based selection. The assessment of the system consists of 45 respondents that will evaluate our system. For the most part of the assessment process, it shows that the summary findings, the majority of respondents are “Very Satisfied” with the Verbal Interpretation based on ISO 9126 Software quality models, with “Strongly Agree” to the response indicating that there is space for improvement in the existing system. Overall, the proposed system not only simplifies the scholarship application process for students but also enables the city government to effectively manage the scholarship program. It introduces a level of efficiency and transparency that enhances the credibility of the program and ensures that the benefits reach the intended recipients. It represents a significant step towards digital transformation in the public sector, specifically in educational assistance.

This study utilized purposive random sampling during beta testing of the game “O Ektos,” a 3D-PC real-time strategy game aimed at raising awareness about clean water and sanitation. Over 100 respondents, including BSIT students specializing in game development, web management, and digital arts, as well as executives and staff from the MWF organization, participated in the evaluation. Respondents tested the gameplay, promotional website, and overall aesthetics, assessing aspects such as mechanics, graphics, user interface, sound design, and storyline. Results showed that the game was well-received across all categories, highlighting its effective design and alignment with the United Nations' Sustainable Development Goal No. 6. The game's combination of contemporary technology, engaging gameplay, and meaningful content positions it as a feasible tool for raising awareness about water pollution and sanitation issues.

Freight forwarding plays a crucial role in international trade, facilitating the movement of goods through transportation, customs clearance, and documentation management. However, manual processing of transportation transactions in freight forwarding poses various challenges, including inaccurate documentation, inefficient routing and carrier selection, and delayed shipment booking, which can result in disruptions, higher costs, and customer dissatisfaction. To address these issues, the development of a Freight Forwarding Management System is essential by digitizing and automating transactions. Freight forwarding companies can improve accuracy, efficiency, and visibility in their operations. The integration of web and mobile applications enables streamlined order handling, accurate quotations, and an organized inventory. The system's performance was evaluated using the ISO 9126 model, and it received an “Excellent” rating, demonstrating its functionality, reliability, usability, portability, efficiency, and maintainability. Moreover, the inclusion of a best-fit algorithm in the scheduler system allows for both automatic and manual selection of drivers and vehicles by intelligently matching the most suitable drivers and vehicles to specific shipments, the scheduler system optimizes resource allocation, ensuring efficient utilization of assets and improved delivery performance. Through technological innovation, freight forwarding can overcome manual processing challenges and enhance operational performance to meet customer needs effectively.

The project aims to create an AR mobile application about Fort Santiago. This mobile application features the 3D models of the past and present versions of different historical landmarks within Fort Santiago using augmented reality. This also includes 2D map of the location of the historical landmarks as well as audio narration and 3D animation. A promotional website with content management system was also developed to promote the application to the public. To prove that the application is working, the researcher conducted a survey with a total of 61 respondents, consisting of 41 Visitors/Tourists, 5 Intramuros Administrations Staff and Employees, and 15 IT Experts. Based on the results of the survey, the research was deemed to improve its overall capabilities, features, and performance according to the feedbacks provided by the respondents. There were also recommendations for adding notification features for future events related to Fort Santiago and adding gridlines for augmented reality to aid users in precisely scanning landmarks. In addition, adding more featured landmarks and interactable figures could enhance the experience and interactivity of the application as well as the engagement of visitors within Fort Santiago.

This study introduces a centralized Business Management System (BMS) tailored for small and mediumsized enterprises (SMEs), with an innovative approach due to the integration of a foot traffic detection system through video processing. The system allows businesses to access common business management features such as point of sales, staff scheduling, inventory management, and reports. With the integration of YOLOv7, foot traffic detection for customer count is made possible through LACAD. By automating data collection and providing foot traffic counts, alongside graphical reports, the system empowers SMEs to make better decisions for their businesses. This research highlights the strategic advantage of leveraging foot traffic insights to drive performance and competitiveness in the modern business landscape. As a guide for the study the researchers used Scrum methodology. The study was then evaluated through a quantitative survey using FURPS with 12 IT professionals and 7 beneficiaries as the respondents where the calculated total weighted mean for both the respondent types resulted in 4.60 which means that the users “Strongly Agree” with the system's overall components.

This study explores the beneficial uses of Microsoft Copilot as a support tool for Baliwag Polytechnic College instructors' lesson planning and activity design. Researchers evaluate the influence of Copilot on the creation of instructional content by examining the experiences and opinions of educators. The study demonstrates the advantages, difficulties, and opportunities for customization that come with incorporating Copilot into the curriculum. The results indicate that Copilot can significantly improve the effectiveness and caliber of lesson design, but also highlight certain implementation issues. This research offers insights into the future of technology-enhanced education and contributes to the expanding body of research on AI-assisted teaching strategies.

This descriptive-developmental study enables the authors to create a graduate tracer monitoring platform. The paper aims to provide a centralized channel to monitor institutions' graduates in terms of their job employment, assessing academic programs using modified instruments which determine necessary interventions that may be provided, and to provide a matching algorithm that can be used both by industry partners and respective alumni. This study used a Decision Support System and mapping recommendation analysis using time series analysis to evaluate the results of alumni program evaluation on five areas or dimensions such as curriculum, faculty, facility, laboratory, and student services. The study may set the threshold to determine if the results of the areas mentioned above are beyond the passing rate and implement the interventions for each area. A content management system was also used in this paper to change the contents of the Alumni Program Evaluation, the interventions, the threshold, and many more. The developed web-based system includes an evaluation of the Alumni Program across key areas such as Curriculum, Faculty, Facility, Laboratory, and Student Services. This study employed a purposive sampling technique to identify the group of respondents. There are a total of 152 respondents who participated in this study from the Information Technology department and IALAP office. The study results indicate that no interventions are necessary in any of these areas, as both the mean and the composite mean surpasses the 3.50 threshold set in the system. Among the five areas, the faculty received the lowest passing mean, followed by student services and the laboratory. This underscores the potential for continuous improvement in these specific areas influencing the employability rate and skills of the alumni-participants. The time series analysis was conducted on a two-year dataset, covering 6 trimesters. The analysis revealed a positive improvement in evaluation scores as the trimesters progressed across five dimensions of alumni program evaluation. This suggests that alumni respondents consistently agreed in their evaluations of appreciation on the improvements made by the school administration which enhances their life experiences and technical skills during their stay in the campus.

This study aims to identify the most critical attributes influencing retention and dropout risk in the Alternative Learning System (ALS) by analyzing various demographic, socio-economic, academic, and behavioral factors. Using Gradient Boosting Decision Trees (GBDT) for predictive modeling, the research explores feature importance scores to rank and prioritize the key attributes. The researcher used Knowledge Discovery in Databases as analytics methodology. Using principal component analysis, it was identified that regular attendance, availability, financial support, parental cohabitation (living together), and internet access positively influence retention. Furthermore, attending public schools, having a widowed parent, and possibly other features like distance to school are linked to increased dropout risk. The results provide insights into the main factors affecting student success, enabling more focused and data-driven interventions. The findings can help ALS administrators and educators develop personalized support plans for at-risk students and allocate resources more effectively.

The adoption of innovative technologies is critical for improving teaching practices and student learning outcomes. Among these, artificial intelligence (AI) is emerging as a transformative tool capable of reshaping traditional educational paradigms. ChatGPT, a sophisticated language model developed by OpenAI, offers numerous opportunities for educators to enhance pedagogical effectiveness and streamline lesson preparation processes. This study explores the efficacy of ChatGPT in lesson preparation by surveying and interviewing teachers at Dr. Josefa Jara Martinez High School in the Philippines. It aims to understand their attitudes towards and experiences with integrating ChatGPT into their teaching practices. Despite the promising potential of AI in education, the adoption of such technologies in the Philippines faces significant barriers, including limited awareness, access issues, and concerns about technology integration. The findings reveal that while teachers recognize the benefits of using ChatGPT, such as improved efficiency and personalized instruction, challenges like lack of training and ethical concerns remain prevalent. The study underscores the need for comprehensive professional development programs and robust ethical guidelines to support the effective and responsible use of AI tools in education. The results show that teachers have a wide range of opinions, but many of them agree that ChatGPT has the potential to make lesson planning easier, offer individualized learning resources, and keep students interested in class. On the other hand, issues with consistency with curriculum requirements, dependability, and general efficacy were also apparent. The study sheds light on the challenges associated with integrating AI into education and makes recommendations for professional development, focused assistance, and ethical considerations to help high schools adopt AI technologies responsibly. Teachers can optimize learning experiences, improve teaching effectiveness, and give students the tools they need to succeed in the digital age by tackling these issues and utilizing AI's transformative potential.

This study enabled the researcher to create a graduate tracer monitoring platform. It aimed to provide a centralized channel to monitor institutions' graduates in terms of their job employment, to assess academic programs using modified instruments so necessary interventions may be provided, and to provide a matching algorithm that can be used both by industry partners and respective alumni. This study employed a Decision Support System and mapping recommendation analysis using a rule-based algorithm to evaluate the results of alumni program evaluation on five areas or dimensions, namely curriculum, faculty, facility, laboratory, and student services. It sets the threshold to determine if the results of the areas mentioned above are beyond the passing rate and implements the interventions for each area. The content management system was also used in this study to change the contents of the Alumni Program Evaluation, the interventions, the threshold, and many more. Based on the results, no intervention must be implemented in all areas/dimensions since the mean and the composite mean were more than the 4.0 threshold that was set in the proposed system. The overall rating of the respondents using the technology acceptance model numerical rating is 4.42 with an interpretation of “Agree.” As observed all criteria are rated either agree or strongly agree which indicates a high standard has been set in the development of the system. This means that the system is ready for deployment.