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.

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.

DORM-SCOUT: DORM AND APARTMENT RENTAL ASSISTANCE SYSTEM USING GPS NAVIGATION TECHNOLOGY

by Menard Mercado Umandal; Rai Robin Espiritu Dimaala; Sean Ramel Flandez Macalalad • 2024

Finding and securing rental properties is often time-consuming and inefficient, particularly for students unfamiliar with local options. At Batangas State University ARASOF-Nasugbu, tenants and landlords face limited rental information, inefficient inquiry management, and difficulty tracking payments. Dorm-Scout, a web-based platform, addresses these issues by integrating real-time property listings, inquiry handling, GPS navigation, and automated payment notifications. Developed using Agile methodology with PHP, Laravel, and MySQL, the system underwent testing and evaluation to assess usability and user satisfaction. Results indicate high acceptance levels, with ease of use (4.48), reliability (4.39), security (4.42), and functionality (4.43) receiving strong ratings. Dorm-Scout significantly improves rental search efficiency, landlord-tenant communication, and transaction tracking. Future enhancements include AI-driven rental recommendations, mobile application support, and system scalability for broader adoption.

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.

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.

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.

NEIGHBOREASE: SUBDIVISION MANAGEMENT SYSTEM FOR LANDING TOWNHOMES

by Philip Emmanuel Hadlocon Bucal; John Vincent Sacdalan Delima; Jairus Dulay Junio • 2025

NeighborEase: Subdivision Management System for Landing Townhomes was developed to address the inefficiencies of traditional, non-digitized subdivision management. Manual processes in security and guest tracking create vulnerabilities, as outsiders and guests are not properly monitored, raising concerns among homeowners. Additionally, ineffective communication between residents and Roxaco office personnel leads to delayed monthly payments, slowing subdivision improvements. Using Agile methodology, NeighborEase was iteratively refined based on stakeholder feedback. The system integrated network technology, QR- based verification, and web and mobile applications to streamline security, guest management, and communication between homeowners, guests, and Roxaco staff. Evaluation through purposive sampling gathered user feedback on system acceptability and satisfaction. Findings confirmed that manual processes struggled with security, homeowner management, and announcement distribution. Respondents reported high acceptance of the system’s functionality, reliability, and security, along with strong satisfaction across its features. NeighborEase successfully modernized Landing Townhomes’ operations, improving security, communication, and overall subdivision management. Its scalable model can benefit similar residential communities seeking more efficient processes.

SMARTHIKE: INTEGRATING MOUNTAINEER MANAGEMENT SYSTEM FOR MT. TALAMITAM

by Mr. Jucint Jim Cueto Sanchez • 2024

The study addresses the challenges of managing hikers at Mt. Talamitam due to inefficient, paper-based processes that cause delays, data loss, and limited access to important information. To solve these issues, the SmartHike system was developed, integrating a web-based application accessible via mobile devices. Major features include digitized registration and application forms, real-time weather forecasting, hiker and tour guide management modules, and an SOS alert system for emergencies. The system also provided barangay personal the dashboards for monitoring operations and analytics for data-driven decision-making. Using a descriptive research method and Agile development methodology, the system was designed and implemented with technologies such as HTML, CSS, PHP, MySQL, and Bootstrap, hosted on Hostinger. Extensive testing and evaluation involving barangay personnel, tour guides, and hikers demonstrated the system’s effectiveness, usability, and reliability. The evaluation revealed high levels of satisfaction among barangay personnel, tour guides, and hikers, who rated the system as “Extremely Satisfied”. The results indicated that SmartHike system establishes a modern, scalable approach to mountaineer management, offering a foundation for further innovation in tourism management systems.

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.

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.