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.

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.

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.

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.

INTERN-NET 2.0: ENHANCED STUDENT INTERNSHIP MANAGEMENT SYSTEM

by Allen Jamison Baral Mendoza; Von Mathew Balboa San Luis • 2025

Internships are pivotal in bridging academic learning with practical application, fostering professional development among students. At Batangas State University ARASOF – Nasugbu, the traditional manual processes of internship management posed challenges, including cumbersome paperwork and ineffective communication between stakeholders. The development of Intern-Net 2.0 aimed to modernize and optimize these procedures through a web-based platform integrating features such as job postings, Daily Time Record (DTR) management, and real-time communication. The study employed a descriptive-developmental methodology, following an Agile approach to design, develop, and evaluate the system. Key phases included requirement gathering, iterative development, rigorous testing, and deployment. The use of tools like PHP, MySQL, and XAMPP facilitated the creation of a dynamic and user-friendly platform. Surveys and interviews were conducted to assess the system's usability and acceptance among interns, coordinators, and company representatives. Evaluation results revealed high levels of user acceptance, with features such as ease of use (4.68), security (4.70), and communication facilities (4.80) rated as highly acceptable. The system significantly improved efficiency in tracking attendance, managing applications, and generating performance reports. Conclusions highlight that Intern-Net 2.0 effectively addresses the challenges of manual processes, providing a scalable solution to enhance internship management. Recommendations include further integration of analytics, mobile application support, and scalability for broader adoption across universities.

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.

SECUREDTAG: COMPUTER LABORATORY DEVICE MANAGEMENT AND SECURITY WITH RADIO FREQUENCY IDENTIFICATION TAG

by Apolonia Reyven D. • 2025

SecuredTag: Computer Laboratory Device Management and Security with Radio Frequency Identification (RFID)Tag was developed to address challenges in managing and securing computer peripherals at Batangas State University TNEU ARASOF-Nasugbu Campus, where traditional manual tracking was time- consuming, error-prone, and ineffective in preventing device misplacement, theft, and inefficient inventory management. Using Agile Methodology, the system continuously improved based on stakeholder feedback, enhancing security and management efficiency through Radio Frequency Identification (RFID) technology for real-time device tracking, reducing loss and unauthorized usage. It provided a centralized platform for monitoring inventory, generating reports, and ensuring accountability among users. Surveys and interviews with ICT staff, faculty, and students identified key concerns regarding device security, manual tracking inefficiencies, and lack of real-time monitoring, all effectively addressed by the system, which users found easy to use, functional, secure, and reliable. By streamlining device management, improving security measures, and automating inventory processes, SecuredTag was proven to be an effective tool in optimizing computer laboratory operations, highlighting its potential to enhance security, efficiency, and accountability in academic institutions.

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.

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.