John Heland Jasper C. Ortega
40 Publications
Scopus ID: 85199914523
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
The assessment of students' academic performance based on ongoing records plays a vital role in enabling timely interventions for successful graduation. Variances in degree program completion times emphasize the need to tailor subjects and courses to individual student requirements. However, limited research exists on student degree completion, presenting challenges related to diverse student backgrounds, information gaps in courses, and accommodating evolving progress in predictions. Educational institutions are adapting flexible curricula, necessitating a diverse range of courses and informed decision-making for academic planning. Structured course sequences in universities ensure a gradual buildup of knowledge and skills, aiding students in tackling more complex subjects progressively. A decision-based recommendation system for predicting graduation time was developed and evaluated using the ISO/IEC 25010 Software Quality Model. This model included parameters like functionality, performance, compatibility, usability, reliability, security, maintainability, and portability. Each parameter was assessed to ensure the system's functionality, performance optimization, cross-platform compatibility, user-friendliness, reliability, security, ease of maintenance, and adaptability to different environments. Through this evaluation, the system's quality and efficacy were comprehensively validated, confirming its ability to achieve intended objectives and meet user requirements.
Scopus ID: 85152198192
2022 2nd International Conference in Information and Computing Research (iCORE), (2022), pp. 20-24
Conference Paper | Published: January 1, 2022
Abstract
This project aims to develop an augmented reality mobile application about endangered marine species. The program has made use of augmented reality technology to scan target photos on the card and show three-dimensional reconstructions of six endangered marine species. When a target image is detected, the program will show the 3D model of the sea species to the user. The application was built using Vuforia and Unity, the 3D models were modeled with Substance Painter and ZBrush, and the card layout was designed with Adobe Illustrator. The created system is one of the country's first augmented reality (AR) apps regarding endangered marine species, with the purpose of spreading information and increasing awareness about the situation of endangered marine species via AR. To demonstrate that the program is productive and user-friendly, the researchers surveyed ten IT experts. The survey findings demonstrate that the approach is effective and useable for sharing information and increasing awareness about the state of endangered marine species. Future researchers may enhance the system by incorporating some of the features and refining the mobile application so that people can still use it without the visual book.
Scopus ID: 85152193452
2022 2nd International Conference in Information and Computing Research (iCORE), (2022), Vol. 112, pp. 14-19
Conference Paper | Published: January 1, 2022
Abstract
The number of people being amputated is annually increasing, and it will continue to do so over the years. This, along with other reasons, makes the production of prosthesis fall short from its demands. One of the purposes of this project is to provide an alternative solution to this problem using 3D printing technology, which allows the prosthetic limbs to be produced faster. Another purpose of the project is to incorporate art and design into 3D printed prosthesis, which gives the amputees a chance to personalize their prosthetic limb/s. With this said, the study aims to develop a website designed for amputees, where they are able to personalize their 3D printed prosthetic limb/s.
Scopus ID: 85159407827
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-7
Conference Paper | Published: January 1, 2022
Abstract
Apollo is an interactive animation that aims to provide both Junior High School teachers and students, additional materials for teaching and learning. It consists of three modules that present anatomical topics covered in the current K to 12 Curriculum Guide for Science (2016); Digestive, Respiratory, and Endocrine Systems of the Human Body. The modules contain interactive 3D animation videos that feature narrated lessons to guide student's learning and pop questions to further student's understanding. Several software programs used to produce Apollo includes Autodesk Maya, Adobe After Effects, Adobe Premiere, and Adobe Photoshop. In addition, the website which Apollo can be accessed through was developed using HTML and Adobe Dreamweaver.
Scopus ID: 85159469079
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5
Conference Paper | Published: January 1, 2022
Abstract
Visionary Studios took advantage of creating an approach to promoting and preserving these rich Philippine legends through a form of an interactive animation film. Mitolohiya adapts the story about the origin of The First Coconut Tree and the Creation of Man, using two-dimensionl characters with three-dimensional textured environments. Go through an epic adventure featuring Bathala; a god living on a deserted planet who seeks and desires to create the first life on Earth, Galangkalulua; a winged god who wanders the universe, and Ulilangkalulua; a serpent god ruling over the clouds. Along with bonus sequences of stories showing the legends of five other deities from Tagalog myths. Tala; the goddess of the stars, Hanan; the goddess of morning, Mayari; the goddess of the moon, Lakapati; the goddess of good harvest and Amanikable; the god of the sea. This animation film is created to promote and preserve Philippine myths about Tagalog gods & goddesses through an interactive hybrid animation format. Overall, the preliminary data shows that most of the participants were not familiar with the adapted Tagalog myth in the film however, after watching the interactive film, most of the respondents gave positive feedback to the overall film's animation, design, aesthetic, story, and website. According to the data, the animation and interactivity of the film makes it more engaging for the viewers which shows that the use of the interactive hybrid animation and website is effective in promoting Philippine Tagalog mythology. It is highly recommended to give further research about the different legends and stories within the Tagalog pantheon. Due to the large variety of characters, the possibility of creating numerous adaptations can also be suggested.
Scopus ID: 85159387699
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6
Conference Paper | Published: January 1, 2022
Abstract
Mental health is more than the presence or absence of a mental illness. COVID-19 has led to self and social isolation, disconnection from family and friends. More people than ever are experiencing feelings of helplessness, isolation, grief, anxiety, and depression. In such cases, the team took advantage of the opportunity to raise mental health awareness by developing a trilogy of interactive short films with a website that would support the project’s purpose. The film has three characters with different stories, namely Marion; a college student who is struggling to adjust to his new average experience from his online class and Kayla; a nurse who is also a mother of three children, who must participate in treating the patients with COVID at the hospital, and Marie; an OFW who works from Saudi Arabia wants to go home to visit her family. The study also intends to explore the impact of coping strategies and perceived social support on one’s ability to handle social isolation stress. Each of the characters' stories will represent the different outlook on possible mental health symptoms that everyone has experienced during the pandemic. The stories presented in the film will be based on real-life circumstances and experiences of people who have lived through the pandemic. The story aims to give hope to its viewers on what lies ahead of the pandemic. Upon testing the produced output, the study results show that most people only have a general idea when it comes to the topic of mental health issues. The study also yielded that the project has spread and increased awareness about the topic under study. Although the project could attain its specific goals and adjectives, the best and only conclusion is to seek professional help from credible and trusted experts in their respective health fields.
Scopus ID: 85114197912
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021), pp. 213-223
Conference Paper | Published: January 1, 2021
Abstract
With the fast-paced growth of technology in our generation today, a lot of different applications has been developed in order to make people's lives more convenient and comfortable. However, due to the people's attachment to these technology, they have grown more and more sensitive with what they read from the internet (especially social media) — this in return takes toll on their mental health capabilities and provides problems for them and their families. This study aims to promote the presence of a mental health issue that has been frequently discussed by a lot of people through the years — this disorder is known to be depression. The researchers’ aim in this study is to develop a game that can aid people in understanding how depression affects the character through the said game's story — and help alleviate some possible factors that saddens or disrupts the player's mind from the gameplay and music. One of the main elements from this study is that interviews from psychologists, psychiatrists, and guidance counselors would be conducted and analyzed in order to know the possible problems that the target audience of the project may or may not face in their own lives — the researchers would then conduct a survey accompanied with the Patient Health Questionnaire (PHQ-8) in order to test the game's effectiveness and enjoyment. Based from the overall results of the study, the researchers were able to analyze the gathered PHQ-8 survey and has successfully rejected their null hypothesis — which means that the project has an effect on decreasing the severity of depression of the players. Overall, the researchers were able to satisfy their objectives which makes the project a step closer in developing an application that can be positively used for both entertainment and depression awareness in the future.
Scopus ID: 85089752037
Proceedings of the 2020 3rd International Conference on Robot Systems and Applications, (2020), pp. 82-87
Conference Paper | Published: June 14, 2020
Abstract
The study aims to integrate neural network algorithm that predicts students' vulnerability of not having graduation on time to an adaptive learning management system. Neural network is one of the popular machine learning techniques because of its learning algorithm. The learning algorithm is focused on updating weights of the edges in order to produce minimal mean squared error between actual and predicted values. The integration of this platform could lead to much efficient learning management system as LMS is mainly driven to provide individualized and personalized learning tailored to specific requirements and learning preferences. The neural network algorithm is designed to classify students with learning difficulty so that administrators can formulate remediation and academic support policies.
Scopus ID: 85084485556
International Journal of Scientific & Technology Research, (2020), Vol. 9, No. 4, pp. 1318-1322
Journal Article | Published: January 1, 2020
Abstract
Blood banking is the process of collecting, separating and warehousing blood. There are numerous file-based repositories of blood bank management that exist for storing data for blood bank ecosystem such as hospitals and centers. This functions for maintaining the information of donors, availability of blood, and transaction information. Currently, these systems are effort intensive, costly, and failed to achieve efficiency in terms of its filtering mechanism which makes repository penetrating faster and reliable. This paper introduces a new design for blood banking ecosystem with proper filtering solution using frame-based approach. The system has three major features: (1) blood camp setup module, (2) stocks management module which includes the blood donation and blood releasing, and (3) the filtering system module which shows the nearest blood camp with the available blood type based on the patients’ needs. Also, with the use of frame-based approach as filtering method, the system is more efficient and reliable compared to other blood banking repository systems. The system’s functionality was tested for its efficiency, usability, and reliability and the results are revealed in the survey. Conclusions and future work were also provided in this paper.
Scopus ID: 85079283298
Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering, (2019), pp. 51-56
Conference Paper | Published: November 9, 2019
Abstract
In the Philippines, according to Philippine Authority of Statistics, there is an imbalance between the student enrollment and student graduation. Almost half of the first-time freshmen full time students who began seeking a bachelor's degree do not graduate on time. The study aims to utilize how Naïve Bayes algorithm - a data classification algorithm that is based on probabilistic analysis - can be used in educational data mining specifically in student graduation. The study is focused on the application of the Naïve Bayes algorithm in predicting student graduation by generating a model that could early predict and identify students who are prone of not having graduation on time, so proper remediation and retention policies can be formulated and implemented by institutions.