Licenses and Certifications

PMI Project Management Ready
Issued by Project Management Institute on August 15, 2023
Seminars and Trainings

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AI in the Workplace: Practical Applications for Educators and Associates to Improve Teaching and School Management
Awarded by Educational Innovation and Technology Hub on August 14, 2024
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Enhancing Physical and Mental Resilience in the Workplace
Awarded by FEU Tech Human Resources Office on August 05, 2024
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Modern Learners, Modern Resources: A Primer on the Utilization of Academic Technologies
Awarded by Educational Innovation and Technology Hub on August 29, 2023
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Tech-Enabled Pedagogies: Empowering Modern Teachers with Educational Technologies
Awarded by Educational Innovation and Technology Hub on August 09, 2023
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Conference Paper · DOI: 10.1109/HNICEM57413.2022.10109571
Disaster and Crime Reporting and Monitoring System for Hagonoy Bulacan with Decision Support Mechanism
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2022, 2022
Vernie John B. Baltazar
Ace C. Lagman
Roman M. De Angel
Piad K.
Disaster strikes in unexpected times. The first few hours after are critical to the survival of the victims directly hit by the event. This paper explores the utilization of the Monitoring and Reporting System with Decision Support Mechanism using web and mobile applications. The citizen of Hagonoy can use the mobile application to report a crime or a disaster, they can also access the official website to view important announcements regarding safety protocols or events. The Department of Police, Fire and MDRRMO of Hagonoy will take full responsibility for managing the emergency reports and updating the website's content. From the experiment, the mobile application was able to show that the system can provide a feasible emergency and incident report that will help both the citizen and LGU of Hagonoy. The researcher used the prototyping model as a software development model. Overall, the system was evaluated 4.86 with an interpretation result of Very Acceptable. This means that the system is ready for deployment.