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.

CLEANCONNECT: A CARWASH BOOKING SYSTEM

by Lourent Fernan Lagrisola Laguardia • 2025

The vehicle's ownership has been increasing over the past few years. It is crucial to maintain the cleanliness of the vehicle for both aesthetic and practical reasons. Vehicle owners are availing car wash services for convenience, maintenance, and professional care. However, there are certain problems encountered during busy hours. Customers must queue up for a long period till their turn. In addition, most of the customers are having a hard time choosing and locating a trusted car wash. station. While most car wash businesses still use manual methods in the process, from recording customer data to car wash cleaning reservation. Therefore, a study was conducted using the system development method, namely Agile in order for them to perform any iterations they could until they reached the set requirements. Furthermore, essential data were collected, and the features of the developed system was evaluated. The results of the study evidently show a positive outcome, and the expectations for the developed application were met. The findings of this study discover the topmost common problem encountered by car wash manager/station and car wash customer is queuing of vehicle or long waiting time. The level of acceptance of car wash station/manager and car wash customer in terms of functional suitability, usability, and reliability were rated as highly acceptable. In addition, for the level of satisfaction of car wash station/manager in terms of receiving booking information, updating car wash prices and services and generating reports were rated as highly satisfied with 4.44 mean rate. While the level of satisfaction of the car was customer in terms of locating car wash station, viewing car wash services and prices; and providing rate or feedback were rated as highly satisfied with a 4.39 mean rate. In addition, the study also recommends the usage of the developed system for ease and convenience in making a car wash reservation.

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.

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.

GuideCo: Development of Guidance and

by Counseling Information; John Paulmar Lontoc Manjac; Ferdinand Paulo Felices Sacdalan; Juspher Balagtas Pedraza • 2025

This study focused on the development of GUIDECO: Guidance and Counseling Information Management System for Nasugbu East Senior High School. The goal was to enhance the efficiency of guidance and counseling services by addressing issues in manual data management, inefficient scheduling, and limited student support tools. A descriptive developmental research design was used, alongside the Agile methodology for system development. Data were collected from 69 respondents, including the principal, guidance counselor, teachers, security guards, students, and IT experts, through surveys and system evaluations. Key findings showed that GUIDECO streamlined processes, improved data accuracy, and enhanced user experiences. Users reported high levels of acceptance and satisfaction with the system's features, ease of use, functionality, usability, and reliability. The study concluded that GUIDECO effectively improved the management of guidance and counseling services, supported better student engagement, and boosted overall operational efficiency within the school.

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.

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.

SaKOP - Sangguniang Kabataan Online Platform: An IT Approach to Streamlining of Youth Governance

by Sangguniang Kabataan Online Platform; Marien Khristah C. Valencia; Karlo Mateo C. Mendoza; Carl Justine E. Cudiamat • 2025

Effective youth governance is often hindered by inefficiencies in program recommendation, member profiling, document archiving, and budget allocation. To address these challenges, the proponents developed the Sangguniang Kabataan Online Platform (SaKOP), a digital system designed to streamline administrative tasks for the Sangguniang Kabataan (SK) of Nasugbu, Batangas. This study highlights the role of digital solutions in modernizing youth governance and improving service delivery within SK organizations. SaKOP integrates member profiling, digital document archiving, data-driven program recommendations, and budget allocation tools for improved transparency. Developed using the descriptive- developmental research method and Agile framework, the system was evaluated through structured feedback from SK officials, IT experts, and local government representatives, showing high user satisfaction in enhancing efficiency, decision- making, and accountability.

GUARDIAN WATCH: DEVELOPMENT OF QUICK RESPONSE AND EFFICIENT CASE MANAGEMENT FOR MINOR CRIMES AT NASUGBU MUNICIPAL POLICE STATION

by Karen G. Hernandez; Lovely P. Gonzales; Michael Darren G. Arroyo; Jazmine Kaye S. Revilla • 2024

Crime reporting is essential for law enforcement agencies, yet many still rely on manual processes that hinder efficiency, delay responses, and limit accessibility for the community. To address these challenges, this study developed a digital crime reporting system specifically tailored for the Nasugbu Municipal Police Station (MPS). The system incorporates features such as digitized crime reporting for streamlined submission and tracking of incidents, real-time emergency reporting and response mechanisms to facilitate prompt action during critical situations, notifications and alerts to improve communication between police and residents, and location-based incident mapping to monitor and analyze crime occurrences effectively. Designed using the descriptive-developmental research method and Agile framework to ensure adaptability and user-focused development, the system was evaluated through structured feedback from 20 law enforcers, 120 residents from high-crime areas, and 10 IT experts. Results showed high user satisfaction with the system's functionality and usability, particularly in streamlining reporting and emergency responses, though suggestions for improving follow-up mechanisms, privacy, and security were noted. The study highlights the potential of digital tools to modernize crime reporting, enhance public safety, and improve law enforcement efficiency.

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.