This research addresses the challenges faced by community welfare services in the Philippines, particularly within the context of healthcare delivery. With the rapid advancement of information technologies, there is a critical need to enhance the efficiency and efficacy of medical information management. The study highlights the issues of delayed access to accurate health information due to disparate systems and poor data quality, which hinder timely medical assistance. It proposes developing a comprehensive e-health solution designed to automate and digitize healthcare records management within barangays—the grassroots level of governance in Philippine society. In terms of the medical resources, allocation, the researcher used Exponential smoothing for forecasting resources ahead of time, reducing the risk of shortages or overstocking. The researcher used Technology Acceptance Model Software Quality Model to assess the system overall capability as perceived by experts and end users. In terms of ISO instrument, all criteria are rated very acceptable in which it emphasizes the system’s overall effectiveness and user-centered design, contributing to a favorable perception of its performance. In terms of the Technology Acceptance Model evaluation, the total mean of 4.03 demonstrates a strong consensus among respondents, highlighting their positive outlook on the system’s usefulness, ease of use, and overall attitude toward its implementation in academic environments.

Generative AI tools are increasingly transforming multimedia arts courses by streamlining creative processes and expanding the possibilities for artistic expression. The integration of these tools into creative platforms has enabled students to enhance their productivity and experiment with innovative techniques, fostering an environment where digital artistry can thrive. Despite these benefits, the use of AI raises significant concerns regarding originality, artistic authenticity, and the potential erosion of traditional skills. Analysis using the technology acceptance model (TAM) reveals that students broadly accept these tools due to their perceived utility and ease of use, yet they remain cautious about their long-term impact on creative development. A word cloud analysis of student feedback illustrates a diverse array of sentiments, combining enthusiasm for the technological advancements with caution and ethical deliberation about the role of AI in art. Sentiment analysis further indicates an overall optimistic view toward the integration of generative AI, while also uncovering persistent concerns about ethical issues, such as copyright and the fair attribution of creative work. These findings highlight the critical need for educational strategies that balance the benefits of AI-driven efficiency and innovation with the preservation of traditional artistic practices. Future research should explore methods to integrate AI into multimedia arts curricula in a way that augments human creativity and safeguards the unique qualities of handcrafted art, ensuring that technological progress enhances rather than compromises artistic integrity.

The Philippines, known for its extraordinary biodiversity, holds a unique and ecologically vital position in the world of conservation. Despite the exceptional richness of its biodiversity, the gravity of the threats it faces has been notable for the lack of attention given to endangered animals in the Philippines. With that, this study aims to create an innovative learning material to inform children through a 360 interactive video about the lives of critically endangered species in the Philippines. To validate the study, mixed method technique was used to collect data and information. The researchers interviewed subject matter experts, technical experts, and 8 to 10- year-old target audiences. It revealed that innovative learning material like a 360 interactive video is an effective way to engage and help inform children in the Philippines about critically endangered species. This research offers valuable insights into the effectiveness of 360 interactive video promoting the advocacy supporting the SDG’s Quality Education, Life on Land, and Life on Water for the children of Manila City, contributing to broader societal goals of understanding.

The accuracy of classification algorithms is significantly influenced by the quality and structure of input data. In this light, effective pre-processing is crucial for boosting the generalization capabilities of supervised machine learning models. This study addresses key challenges in data preparation, including the treatment of continuous attributes, imputation of missing values, and management of high-dimensional features. To overcome these obstacles, we propose an innovative hybrid preprocessing strategy that synthesizes multiple techniques into a unified framework. By tailoring specific methods to the characteristics of diverse datasets, this hybrid approach enhances both the accuracy and robustness of the classification results. Through the promotion of intelligent, data-driven solutions that can be applied in multiple sectors, the findings support the Sustainable Development Goal 9 (SDG 9), which focuses on Industry, Innovation and Infrastructure.

Manila City is one of the most popular cities in the Philippines, having a vast tourist destination, including the eight (8) tourism hubs of Manila City, which details a comprehensive list of major attractions and activities. However, preliminary data gathering results, including interviews from the Department of Tourism, Culture and Arts of Manila (DTCAM) and pre-survey assessment, reveal that there is an observed number of youth who have lack of awareness about the maj or attractions and activities available in the eight (8) tourism hubs of Manila. With this, this study aims to develop and implement a hybrid 3D animated film and digital campaign that promotes the maj or attractions and activities available in eight (8) tourism hubs of Manila City in partnership with the DTCAM. The study employs a mixed-method of study, utilizing formative and summative evaluation, including interviews and survey subject matter expert, survey with target audience, and digital campaign analysis. The proj ect revealed positive insights from the subject matter experts, which notably affirms that the overall 3D integration, film, social media, and graphic design components itself also contributed to positive results, which encompasses satisfactory performance. In terms of target audience, the acceptance surveys, which denote that the target audience was able to gain better awareness of the maj or attractions and activities available in the eight (8) tourism hubs of Manila City. And in terms of digital campaign analysis, the key performance indicator in social media insights showed that the digital campaign performance garnered a positive growth rate in terms of number of reach, engagement, and number of followers, denoting that the digital campaign has maximized its platform in creating awareness and expanding audience base.

This study aims to evaluate the developed predictive dropout risk model in the Alternative Learning System (ALS) by analyzing various demographic, socio-economic, academic, and behavioral factors. The early identification of students who are at risks in dropping out is crucial in order to provide necessary academic intervention programs. The researcher used Knowledge Discovery in Databases (KDD) as methodology in the evaluation of the predictive models. Using Gradient Boosting Decision Trees (GBDT) for predictive modeling. Key findings highlighted that with both classes achieving an F1-score of 93% which demonstrate a balanced performance between precision and recall for both positive and negative classes. In summary, the overall evaluation of the system is 3.59 which indicates that they system can be used for deployment and maybe further be improved.

This study focuses on the evaluation of the develop enterprise-level information system that focuses on research, instruction and extension integration for State Universities and Colleges (SUCs) in the Philippines. The researcher used the descriptive- developmental type of research. Using the system, the leaders of the school will have a real-time overview of the status of the performance and accomplishment. Policymakers can use the results to inform the development of policies and guidelines that promote the effective integration of digital technologies in education. The application was developed based on the Agile Development Model. The Agile software development life cycle is a set of steps that a product goes through as it progresses from initiation to completion. The characteristics need to evaluate the product/software defined in ISO/IEC 25010 are the following: functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The system obtained the overall weighted mean of 3.73 which interpret as Excellent in terms of Product Quality evaluated by the IT Experts. This means that the system is approved by the IT Experts and highly recommended to use.

Bulacan has a rich history with significant events in the Philippines, but there's more to it than just that. Bulacan has its own unique culture, arts, and plenty of interesting tourist spots. This study explores how digital campaigns and institutional branding can be utilized to promote and help connect the youth with the history, arts, culture, and tourism of Bulacan and familiarize them with the Provincial History, Arts, Culture, and Tourism Office (PHACTO) with its programs and initiatives. It emphasizes how understanding cultural heritage is important for young people to express themselves and connect more with their roots, helping to increase the cultural heritage tourism in Bulacan. The digital campaign consists of an online series, titled, “Ika nga sa Bulacan!”, a 10-episode that will run 3-5 minutes each and also publication materials that incorporate holidays or events, trivia, tourist destination and message posting. The proponents will perform via a mock-up Facebook page by posting the online series and publication materials such as graphics and short-form videos. Along with this output is the institutional branding that consists of a campaign logo and audio-visual presentation (AVP). These multimedia outputs are supplementary materials that highlight Bulacan's cultural heritage tourism. To evaluate the effectiveness of the materials, the researchers will gather data from ages 15-30 from the target audience, subject matter expert and technical expert people, regardless of their gender, marital status, and race. The audience will evaluate the study through various processes such as Formative Evaluation and Summative Evaluation.

Since teaching is the foundation of education, program accreditation and institutional performance are directly correlated with its effectiveness. By creating a competitive and supportive learning environment, faculty performance has a direct impact on an academic institution’s ability to fulfill its vision and goal. To provide a thorough and impartial assessment of teaching performance, this study uses data mining algorithms to extract insightful information about the elements that go into good instruction, including both structured and unstructured data. This is done in response to the urgent need for faculty performance evaluation. To help institutions identify their strengths, rectify their flaws, and encourage ongoing growth in their teaching and learning processes, the system was created. Looking for trends in teacher data. Furthermore, sentiment analysis methods are employed to assess qualitative input, and Laravel 8.0 provides the framework for putting these algorithms into practice. A grand mean score of 4.38, which is considered “Very Acceptable,” was obtained from expert evaluations of the system, demonstrating its dependability and efficacy in assisting with faculty performance reviews.

This study focuses on the evaluation of a faculty Performance Modeling System, recognizing the critical role of faculty performance in educational quality and institutional success. Although previous research has often concentrated on the technical development and predictive capabilities of such systems, this paper shifts the focus to user acceptance and system efficacy from the perspective end-users, the faculty. To achieve this, the researchers propose and apply a Modified Technology Acceptance Model (TAM) as the theoretical framework for evaluation. This modified TAM incorporates specific constructs relevant to the academic environment and faculty roles, such as perceived impact on teaching effectiveness and perceived relevance to professional development, alongside traditional TAM constructs like perceived usefulness and perceived ease of use. The evaluation methodology involves assessing faculty perceptions and attitudes towards the system, utilizing both quantitative and qualitative data to understand factors influencing its adoption and continued use. The findings are expected to provide valuable insights into the practical applicability and user acceptance of faculty modeling systems, guiding future design and implementation efforts to ensure these tools effectively support faculty growth and institutional objectives.