SOLARMOTOR E-UNIT: LEVERAGING IOT FOR SUSTAINABLE ENERGY SOLUTIONS

by Rhon Mar Flores Rivera; John Khian Gamez Aliling; Marck Jhon Cabadin Lainez • 2025

The Solar Motor E-Unit is an energy-harvesting system that utilizes a DC motor and solar panel to convert mechanical, and solar energy into electrical power efficiently. Designed to assess energy generation across different speeds and conditions, the system records key performance metrics using speed sensors, power meters, and GPS modules. To ensure continuous development and improvement, the Agile methodology was employed. This methodology allowed iterative enhancements based on real-time data analysis and experimental results. This approach enabled rapid prototyping, adaptive testing, and incremental system optimization, ensuring that the Solar Motor E-Unit evolved to maximize energy efficiency under varying environmental conditions. Experimental tests at varying speeds demonstrated that higher initial power and increased velocity enhance energy conversion efficiency. The findings highlighted the potential of DC motor- based energy harvesting as a sustainable alternative for renewable power generation. The study contributed to advancements in off-grid power solutions and sustainable energy applications by providing valuable insights into optimizing solar energy collection.

STRAYFREE: ONLINE PLATFORM FOR STRAY DOG REPORTING WITH CNN-BASED AI MATCHING PICTURE

by Jherico Lundag; Jay Nior B. Cartagenas; Jemuel A. Liwanag • 2025

Stray dogs pose a significant challenge in many communities, increasing risks to public safety and health. Traditional stray dog management methods, such as manual reporting and identification, are inefficient and slow, leading to delays in response and increasing incidents related to stray dogs. This study introduces StrayFree: Online Platform for Reporting Stray Dogs with CNN-Based AI Matching Picture, a web and mobile-based system designed to streamline stray dog reporting and identification. The platform integrates features such as dog registration, AI- powered image matching for dog identification, real-time stray dog reporting, and centralized data management to enhance efficiency. A descriptive-developmental methodology was employed using an Agile approach, involving iterative development, testing, and deployment. Technologies such as Python, TensorFlow, MySQL, and React Native were utilized to ensure scalability and usability. The evaluation involved Tuy residents, barangay officials, and Municipal Agriculture Office representatives, measuring system usability and satisfaction through the System Usability Scale (SUS). Results indicate a good usability rating (73.10 SUS score) and high satisfaction levels, particularly in dog registration (4.47), AI dog identification (4.32), and stray dog reporting (4.50). The CNN model achieved 86.65% accuracy for dog identification and 64.62% for breed classification. Findings suggest that StrayFree significantly improves stray dog management, enhances public safety, and promotes responsible pet ownership. Future recommendations include expanding the system’s coverage, improving AI accuracy, and integrating real-time tracking for better monitoring.

UNIQUE: A UNIVERSITY QUERY CHATBOT SYSTEM FOR CLIENT ASSISTANCE AT BATANGAS STATE UNIVERSITY ARASOF-NASUGBU

by Mr. Randy Dasal Feliciano • 2024

The UniQue: A University Query Chatbot System was developed to address the inefficiencies in handling client inquiries at Batangas State University ARASOF- Nasugbu. Traditional methods, like phone calls, emails, and in-person visits, often caused delays, inaccurate information, and inconsistent responses, making it hard for clients to receive timely assistance. The chatbot utilized natural language processing and machine learning to provide fast, accurate, and consistent answers. It was developed using Agile methodology, allowing continuous improvement through regular feedback from stakeholders. The system was designed to make inquiry handling more efficient, reduce response times, and ensure consistent information, especially for admissions and enrollment. Surveys and interviews identified challenges in which clients experience when inquiring, which the chatbot effectively addressed. Users found the system easy to use, well-designed, scalable, and able to understand and respond to a variety of queries accurately. By solving issues like delays and inconsistent responses, the chatbot proved to be a reliable tool for providing efficient and accessible support. These results show the chatbot’s potential to improve client satisfaction and provide a more effective client assistance within the university.

S’tockpile: Resource Management and Process Automation System for Resource Generation Office at BatStateU TNEU ARASOF-Nasugbu Campus

by Angela Jane Perez Boteros; Eunice Ann Mae Bayani Torres; Jhon Denver Pagayunan Alipustain • 2025

Bachelor of Science in Information Technology College of Informatics and Computing Sciences Batangas State University The National Engineering University ARASOF – Nasugbu Nasugbu, Batangas, Philippines This study focused on developing S’tockpile: Resource Management and Process Automation System for the Resource Generation Office at BatStateU TNEU ARASOF-Nasugbu Campus. The goal was to improve inventory management, sales tracking, stock reservations, and facility rentals by replacing manual processes that were time-consuming and prone to errors. The researchers used Agile Methodology to continuously improve the system based on user feedback. Data were collected from 13 respondents, including RGO staff and IT experts, through surveys and system evaluations. The results showed that S’tockpile made operations faster, improved inventory accuracy, automated sales reports, and made stock reservations more efficient. Users found the system easy to use, reliable, and highly effective. The study concluded that S’tockpile helped the university manage resources better, reduce errors, and create a smoother experience for both staff and students. It can also serve as a model for improving resource management in other institutions.

TECHTRACK: QR-INTEGRATED TICKETING SYSTEM FOR BATSTATEU ARASOF-NASUGBU CAMPUS ICT EQUIPMENT

by Mr. Cherry Mae Jamero Castro • 2024

The TechTrack: QR-Integrated Ticketing System was developed to address inefficiencies in managing ICT equipment issues at Batangas State University ARASOF- Nasugbu. Manual processes for reporting and resolving ICT problems caused delays, errors, and ineffective record-keeping, impacting operational efficiency and user satisfaction. The system integrated QR code technology and automation to streamline reporting, enhance transparency, and provide real-time updates. Developed using the Agile Methodology, the process included iterative refinement and stakeholder feedback to ensure functionality and usability. Evaluation involved purposive and expert sampling to assess user satisfaction and system reliability. Findings revealed significant improvements in efficiency, with QR scanning enabling fast and accurate equipment identification, reducing delays and minimizing errors. Automated features optimized task allocation and ISO report generation, allowing ICT personnel to focus on critical tasks. The system’s real-time notifications and user-friendly interface improved transparency and streamlined workflows, leading to high satisfaction among faculty, staff, and ICT staff. IT experts expressed strong acceptance of the system’s scalability and security, validating its reliability for institutional use. The TechTrack system effectively modernized ICT issue management, addressing operational challenges and improving service quality and user experience. Its adaptability provides a scalable model for similar institutions seeking efficient ICT management solutions.

SKONEK: A LOCAL YOUTH COUNCIL PROJECT MANAGEMENT AND PERFORMANCE MONITORING SYSTEM

by Ervin Beltran Mendoza; Mary Claire Ricalde Consigo • 2024

One major problem encountered by the Local Youth Development Office (LYDO) is the difficulty in monitoring and managing SK officials due to their reliance on manual document monitoring processes. These manual methods often lead to inefficiencies, delays, and challenges in tracking the performance of officials. To resolve these issues, the SKONEK: A Local Youth Council Project Management and Performance Monitoring System was developed as an automated solution to streamline project management, improve performance tracking, and enhance overall operational efficiency for local youth councils. In developing SKONEK, the Agile methodology was employed, ensuring a flexible, collaborative, and iterative approach that allowed for continuous refinement based on stakeholder feedback. This ensured the system met the specific needs of the LYDO and its users. The results of the study show a highly positive outcome. The system was evaluated as highly acceptable, with users expressing strong satisfaction with its functionality, usability, and overall effectiveness. These findings highlight the system's potential to significantly improve the LYDO's document management processes and enhance the management and monitoring of youth council projects.

TRICYCLE PERMIT MANAGEMENT SYSTEM WITH DATA VISUALIZATION

by Bryan Abiog Alano; Ruzell Anne Anarna Del Carmen • 2025

The Tricycle Permit Management System was developed to streamline and automate the permit application process for tricycle operators in the Business Permit and Licensing Office (BPLO) of Balayan, Batangas. The existing manual system posed challenges such as delays in processing, difficulty in tracking applications, and inefficiencies in managing permit requirements. To address these issues, the system was designed using PHP, MySQL, and Bootstrap, integrating features such as user role management, document verification, application tracking, and a multi-step form for requirements submission. The system ensures a seamless workflow by allowing administrators to dynamically create and update permit requirements, while applicants can easily submit documents and track their application status using an auto-generated tracking code. Agile development methodology was employed, following iterative phases of requirements gathering, system design, development, testing, and deployment. The implementation of the Tricycle Permit Management System resulted in improved processing times, enhanced record-keeping, and increased user satisfaction among BPLO staff and tricycle operators. Additionally, the system minimized human errors and eliminated the need for excessive paperwork, making the permit processing more reliable and transparent. Its user- friendly interface and efficient backend infrastructure ensure long-term usability, scalability, and adaptability to future enhancements. In conclusion, this study highlights the benefits of automating government permit processes, providing a scalable and efficient solution that can be further enhanced for broader applications in business licensing.

OSNATIFY: Outpatient Department Management System with API Integration for Predicting Diagnosis Based on Symptoms for OSNA

by Outpatient Department Management System With Api Integration; Nelwin Digma Rosales; Gaimar Cruz Mendoza; John Paul Lopez Bautista • 2024

The OSNATIFY: Outpatient Department Management System with API Integration for Predicting Diagnosis Based on Symptoms for OSNA is designed to enhance patient record management and outpatient department processes. By using an online platform, it reduces reliance on traditional methods and decreases patient wait times. The study employed a descriptive development method to assess the system's real-time patient status updates and predictive diagnosis features. Participants, including Admins, Doctors, OPD Clerks, Patients, and IT Experts, evaluated the system's usability through structured questionnaires. Results showed that OSNATIFY improves patient record and prescription management, featuring an intuitive user interface with search and filter functions. Participants reported overall satisfaction with data accuracy and accessibility, with the data of overall agreement of the respondent. The General Weighted Mean of 3.93 confirms overall agreement that the system meets essential criteria for performance, reliability, and security, making it a dependable solution for OSNA.

LEAKALERT: AN IOT SOLUTION FOR WATER LEAK DETECTION AND MONITORING

by Anne Hilarie Cabalag Agawa • 2025

Water leaks lead to significant water wastage and financial losses. LeakAlert, an IoT-based system, was developed to detect and monitor leaks in real-time, improving water management efficiency. The system integrates water flow sensors, an ESP8266 microcontroller, and a user-friendly dashboard for instant notifications. LeakAlert enables automated detection, reducing reliance on manual inspections and ensuring quick responses to potential leaks. The platform allows administrators to track water consumption, analyze trends, and generate reports for better decision-making. Security guards and environmental management personnel can easily report and monitor leaks through a mobile-friendly interface. The researchers used the Prototyping Model as the software development methodology, involving iterative building, testing, and refining of a prototype until it met the required standards. This approach allowed the system to evolve based on user feedback, ensuring usability, reliability and functionality. Challenges encountered during development included sensor sensitivity to minor drips and dependency on stable internet connectivity. However, user feedback indicated that the system was moderately acceptable in terms of reliability. The study highlights the potential of IoT in water conservation and suggests future improvements, such as artificial intelligence integration for predictive leak detection.

i SERVEASE: AN INNOVATIVE SOLUTION FOR BATSTATEU VEHICLE SCHEDULING MANAGEMENT WITH GPS TRACKING AND VEHICLE PREVENTIVE MAINTENANCE

by Ms. Arvin Jade Barrera Villaluna; Katherine Villadelrey Gonzales; Ms. Remielyn Candelaria Silipinin • 2024

Bachelor of Science in Information Technology College of Informatics and Computing Sciences Batangas State University The National Engineering University ARASOF-Nasugbu Campus The ServEase: An Innovative Solution for BatStateU Vehicle Scheduling Management with GPS Tracking and Vehicle Preventive Maintenance focused on addressing the challenges in vehicle scheduling management faced by the General Services Office (GSO) at BatStateU ARASOF-Nasugbu. Currently, there is no system to automate vehicle scheduling and track drivers in real-time. They only used Excel to schedule and arrange vehicle requests. To address these issues, the researchers developed ServEase, a web and mobile application that makes the requesting and scheduling more convenient, integrated GPS tracking, provided real-time notifications, and included a preventive maintenance feature where it predicts the possible maintenance of the university vehicle. Using the Agile methodology, the system was designed based on interviews with the GSO and evaluated by various stakeholders such us GSO, University Drivers, Teaching and Non-Teaching Personnels, Secretaries, and IT Experts. A 5-point Likert Scale was used in this study. Evaluation results showed high satisfaction and acceptance ratings with users commending the system’s functionality and ease of use, though scalability and security require further improvement. It also received a perfect 5 for the evaluation of the level of agreement. The ServEase system has greatly improved how vehicle management is handled, making the process much more convenient. Its simple design and real-time tracking features have made it a helpful tool for the users. The predictive maintenance feature also helps keep vehicles in good condition, saving time and money in the future. This shows how technology can make everyday tasks more efficient and effective. In conclusion, the developed system was proven to be beneficial.