John Heland Jasper C. Ortega
40 Publications
Scopus ID: 105037157550
2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET), (2025), pp. 1-5
Conference Paper | Published: July 6, 2025
Abstract
Generative AI is transforming multimedia arts education by streamlining creative workflows and expanding artistic possibilities. Its integration into digital platforms allows students to boost productivity and explore new creative techniques, fostering innovation in artistic expression. However, concerns remain about originality, artistic authenticity, and the diminishing role of traditional skills. Using the Task Technology Fit Model, this study finds that while students recognize the efficiency and accessibility of AI tools, they remain cautious about their long-term effects on creative growth. Sentiment analysis reveals a generally positive attitude toward AI adoption, although ethical concerns such as copyright issues and fair attribution continue to be debated. These findings highlight the need for balanced educational strategies that maximize AI’s benefits while preserving essential artistic foundations. Future research should focus on developing pedagogical frameworks that integrate AI as a tool for enhancing rather than replacing human creativity. This approach will ensure that technological advancements support artistic expression without compromising its authenticity.
Scopus ID: 105000327575
TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), (2024), pp. 1290-1293
Conference Paper | Published: January 1, 2024
Abstract
To ensure students achieve timely and satisfactory graduation, it's essential to assess their future performance based on ongoing academic records and implement instructional interventions. Within the educational context, students fall into two categories: regular and irregular, each governed by distinct academic regulations. Regular students follow a predetermined curriculum, which provides a clear path to graduation and enhanced access to required courses, facilitating efficient progress toward degree completion. On the other hand, irregular students encounter challenges such as disruptions and delays, necessitating additional time and support to fulfill degree requirements. Guiding both regular and irregular students and improving their study plans require appropriate guidance and academic intervention. To address the existing research gap, this study presents a Criteria-based Recommender Platform for Achieving Optimal Time-to-Graduation Utilizing a Backward Chaining Algorithm. This platform automatically generates a personalized study plan by considering predefined criteria and parameters, enabling students to evaluate the timeline for completing their degree program. By leveraging the backward chaining algorithm, the platform's predictive model captures intricate relationships and dependencies within the data, providing valuable insights and predictions. This adaptive approach continuously refines predictions based on new data, enhancing accuracy and utility in guiding decision-making processes related to study plan generation.
Scopus ID: 85206691062
2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC), (2024), pp. 290-295
Conference Paper | Published: January 1, 2024
Abstract
Children in street situations are prone to physical and emotional abuse, exploitation, medical and financial problems. This research aims to examine the root causes of children in street situations' deprivations, to contribute to the welfare of children in street situations, and to propose strategies for addressing the matter through a multimedia project, specifically by a hybrid 2D & 3D educational animated series and website. It will also explore the impact of educational animated series and websites that will provide a comprehensive understanding of the challenges faced by children in street situations. It serves to raise awareness, promote understanding, and potentially generate solutions to improve the lives of children in street situations. This multimedia project can be an educational tool to various NGOs and organizations that cater to children in street situations. This was found to be effective by providing an educational series and website with information on how to access basic needs and to provide a safe and supportive environment for children in street situations. The study utilizes a mixed qualitative and quantitative research design, it provides valuable insights into the challenges through interviews, pre-assessment, post assessment, and survey questions. The study has important implications for policymakers, educators, government, and practitioners working with children in street situations and highlights the importance of providing a safe and supportive environment for children in street situations to thrive.
Scopus ID: 85199900203
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
Throughout the centuries, Philippine poetry, in its modern form, has made its way online with the rise of digital technology. However, an online article suggests that most Filipino poems are left on library shelves unappreciated. This lack of demand causes limited amounts of publishing. Thus, bookstores and publishing companies would not invest in these writers’ works. With this, the researchers investigated whether there is a lack of appreciation and promotion of Filipino poetry in today's generation and whether a hybrid short film is an effective multimedia outlet to promote the said field. All of the results yielded positive in that the participants showed interest in Filipino poetry after the film and had positive remarks about its technical aspects. Initially, the pre-test assessment showed that the respondents' interest in Filipino poetry gained a weighted mean of 3.67 out of 5 overall. In the post-assessment, however, gauging whether the short film helped pick their interest, there was a notable increase of 0.96 in the weighted mean, making it an average of 4.63. This project shows that the short film impacted the viewers regarding attaining the proponents' goals.
Scopus ID: 85174292970
2023 International Conference on Information Technology Research and Innovation (ICITRI), (2023), pp. 118-122
Conference Paper | Published: January 1, 2023
Abstract
Wind power is a challenge in power generation. The tortuous process stages in generating voltage become a significant problem to be solved properly. One indicator of the process is the determination of the right wind speed because it always changes at any time and under circumstances. For this reason, accurate predictions are needed so as to maintain the smooth integration of wind power into the overall system. Machine learning is used as a promising approach to dealing with wind intermittent power because wind speed prediction methods have been developed in recent years. This study explores climate patterns in the Philippines using data collected from PAGASA. The data is trained and tested with a machine learning model to predict wind speed. This research resulted in the Gaussian Process Regression (GPR) model outperforming other models and is very suitable for datasets in achieving accurate and reliable predictions.
Scopus ID: 85149956960
Lecture Notes in Networks and Systems, (2023), pp. 9-18
Book Chapter | Published: January 1, 2023
Abstract
The difficulty with manually analyzing and processing data is that it takes too long, prone to degradation and other problems. Government agencies cannot reduce cases due to a lack of sufficient knowledge and analysis to determine the fundamental trend of RTI cases. Besides, the general public is utterly uninformed of road situations. Roadcast, a Vehicle Incident Management System, is a practical approach to minimizing road incidents. This study presents the automation of the manual process of collecting and analyzing incident data and transparency with the general public. The output of the study will be a web application system that will produce descriptive analytics, hot spots, and forecasting (7MA), supporting the PNP’s preparation for the projected future incident cases in the following week and determining the hazardous area in Pasig City through the hot spots. The general public will be informed of the number of road incidents in a particular barangay, entire cases in Pasig City, and other data visualizations integrated into the dashboard. Scrum Methodology was used to construct the system, and numerous users with varying responsibilities and administrator permissions were necessary to access and control the system. Alpha and Beta Testing examined the system’s functionality, usability, reliability, performance, and supportability. The researchers used purposive sampling to survey (11) technical and (49) non-technical respondents. The researchers received a score of 4.74, which translates to “Strongly Agree.” The system received positive feedback from both technical and non-technical respondents.
Scopus ID: 85199917118
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
In the context of higher education, ensuring timely and successful graduation for students is a pivotal objective, necessitating a comprehensive understanding of their academic performance and tailored interventions. Evaluating ongoing academic records is crucial for effective pedagogical interventions, but limited research on student performance in completing degrees has introduced challenges. To address these, academic institutions are adopting flexible curricula designs, prompting the need for diverse course offerings. Amidst this, two student categories emerge: regular and irregular, each presenting unique challenges. A Rule-Based Suggestion Platform for Academic Program Completion was conceptualized, designed, developed, and rigorously evaluated through the use of the Technology Acceptance Model (TAM). This innovative platform, which harnesses the power of rule-based decision-making, was created to address the intricate challenges surrounding students' timely and successful program completion within the academic landscape. The platform's underlying architecture and functionality were crafted to provide students with personalized and optimized recommendations, guiding them towards informed decisions in shaping their educational journey. The development process involved the integration of advanced rule-building mechanisms, enabling the system to analyze individual student profiles, academic progress, and program requirements. This data-driven approach empowers the platform to generate customized study plans that not only consider the students' academic ambitions but also adhere to predefined constraints and parameters. By evaluating the platform's performance through the Technology Acceptance Model, this study assesses the users' perception and acceptance of this novel tool, shedding light on its effectiveness and potential impact on enhancing the academic planning process.
Scopus ID: 85199916542
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Conference Paper | Published: January 1, 2023
Abstract
Ensuring students' timely and satisfactory graduation requires evaluating their future performance based on ongoing academic records and implementing pedagogical interventions. Within an educational context, students can be categorized as regular or irregular, each subject to distinct academic rules. Regular students follow a predetermined curriculum, enjoying a clear path to graduation and improved access to required courses, facilitating efficient progress toward degree completion. Conversely, irregular students face challenges such as disruptions and delays, necessitating additional time and support to meet degree requirements. Guiding both regular and irregular students and enhancing their study plans requires proper guidance and academic intervention. To bridge the existing research gap, this study introduces a Decision-based Recommendation System towards Program Completion Using Forward Chaining Algorithm. This system automatically generates a study plan by considering defined constraints and parameters, enabling students to assess the term and year of their degree program completion. Leveraging the forward chaining algorithm with fuzzy IF-THEN-ELSE rules, the system's predictive model captures intricate relationships and dependencies within the data, yielding valuable insights and predictions. This adaptive approach refines predictions with the availability of new data, enhancing accuracy and usefulness in guiding decision-making processes related to generating a study plan.
Scopus ID: 85199895910
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
This capstone project aimed to explore the impact of behavioral and social stress on the mental well-being of early adolescents in the Philippines. The study highlighted the high prevalence of behavioral and emotional problems among Filipino children and emphasized the need for increased access to mental health services. The project focused on assessing the effectiveness of school guidance and counseling services as a potential solution. It effectively evaluated interactivities such as the interactive video and the interactive workbook in identifying and addressing developmental and behavioral concerns. The proponents aimed to provide insights into the factors contributing to behavioral stress and social anxiety among adolescents and suggested interventions to improve their mental well-being. This study was relevant to policymakers, educators, and mental health professionals involved in the well-being of children and adolescents in the Philippines.
Scopus ID: 85199903161
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
The Philippines has unique and rich culture; thus, it is also part of its identity. A preliminary test the researchers conducted revealed that the consumers do not consider street food as part of the culture. The Hybrid 2D Animation Documentary tackles the role of street food and street food vendors in the cultural aspect. The evaluation process used in the study is a comparative analysis of the set of pre-assessment and post-assessment evaluations from 30 respondents. The result showed that there had been an increase in value in recognition and acknowledgment of street food after consuming the material. The researchers recommended that street food vendors start acknowledging their cultural role, that multimedia art students create more content featuring the cultural role of street foods, that the teachers introduce the representation of street foods, and that future researchers explore the sanitation issues of street foods.