Vol 13 Issue 3 July 2025-September 2025

Abstract: Endpoint security is a critical aspect of modern cybersecurity, as endpoints are often the primary targets for malware and malicious activities. Endpoint Security solutions play a crucial role in protecting these endpoints by detecting and mitigating malware threats. However, the effectiveness of Endpoint Security solutions can be significantly enhanced by leveraging the valuable insights provided by endpoint security component’s informative logs.  Artificial intelligence (AI) and machine learning (ML) techniques have emerged as powerful tools in the fight against cyber threats. This review paper explores the various techniques and strategies on the use of AI and ML specifically in leveraging different types of Endpoint security component logs or events to enhance endpoint security. By analyzing and interpreting these logs, organizations can gain valuable insights into potential security incidents, detect anomalies, and improve threat detection capabilities.

Keywords: Endpoint Security Logs, Antimalware logs, Firewall Logs, Endpoint Security, XDR, EDR, Endpoint Detection and Response (EDR), Extended Detection and Response (XDR), Enhancing cyber security, log collection and correlations, Threat Detection, Responding to endpoint threats.

Title: Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs

Author: Mohammed Mujtaba, Aseel A Omair, Rawan A Zowaid

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 182-184

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Website: www.researchpublish.com

Published Date: 22-September-2025

Abstract: Tax and revenue generation are fundamental components of any government’s ability to deliver public goods and services. In modern economies, taxes are the main revenue source for governments, however generating sufficient revenue by means of taxes depends on having a good tax administration system. In most developing countries, the tax system, especially in Nigeria has been characterized with fraud, tax evasion, inefficient collection processes, lack of transparency and maladministration. To overcome these challenges, the need for an efficient tax management and monitoring mechanism cannot be over emphasized. Hence, this work developed a Smart Tax Payment and Monitoring System (STPMS) model as an improvement over existing ones. To test the efficacy of the model, a system prototype was developed, employing traditional structured system analysis and design methodology (SSADM) built with hypertext markup language (HTML), and MYSQL database deployable on cloud. The system's performance was evaluated based on efficiency, reliability, security, user experience, and financial impact. The result showed a response time of 2seconds, 97% reliability, 95% fraud detection, at least 85% user satisfaction, and a 90% revenue collection efficiency rate. Tax evasion was reduced by 20%. This result suggests that the system performed well in both efficiency and fraud control. The model, if fully implemented, will improve how taxes are managed, increase public trust and conveniently handle the compounding issues and corrupt practices ravaging the entire tax system in Nigeria and other Sub-Saharan Africa.

Keywords: Tax Payment, Fraud Control, SSADM, Monitoring System, Government Revenue, Smart Tax.

Title: Development of Smart Tax Payment and Monitoring System in Nigeria

Author: F.O Aranuwa, I.F. Ayinde, E.O Aliyu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 172-181

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Website: www.researchpublish.com

Published Date: 09-September-2025

Abstract: This study examined the relationships between healthcare professionals’ perceptions of Protected Health Information (PHI) security, awareness of institutional data-protection policies, and the completeness of electronic health record (EHR) documentation. Guided by the Technology Acceptance Model (TAM) and Protection Motivation Theory (PMT), the study aimed to determine whether these perceptions and awareness levels predict documentation completeness, and whether clinical role or years of experience moderate these relationships. A quantitative, cross-sectional survey design was employed with a sample of 200 healthcare professionals across various clinical roles. Data were collected using validated instruments measuring perceived PHI security, policy awareness, and EHR documentation completeness. Assumption checks included Shapiro–Wilk normality tests, skewness, kurtosis, and visual inspections via boxplots, all confirming suitability for parametric analyses. Pearson’s correlations examined relationships among variables, while multiple linear regression assessed predictive effects. Moderation analysis tested potential interaction effects, and a one-way ANOVA explored differences across categorized security confidence levels. The Correlation analysis indicated significant positive relationships between perceived PHI security and policy awareness (r = .31, p < .01), perceived PHI security and documentation completeness (r = .26, p < .01), and policy awareness and documentation completeness (r = .26, p < .01). Regression analysis revealed that both perceived PHI security (β = .27, p < .01) and policy awareness (β = .21, p < .01) significantly predicted documentation completeness, jointly explaining 6.8% of the variance (F(2, 197) = 7.20, p = .001). No significant moderation effects were found for clinical role or years of experience, and ANOVA results indicated no significant group differences based on security confidence levels (p > .05). the findings suggest that enhancing healthcare professionals’ perceptions of PHI security and awareness of data-protection policies may lead to more complete EHR documentation across clinical roles. These results align with previous studies emphasizing the role of trust and policy clarity in health information management, while addressing a literature gap by jointly examining these predictors within an integrated theoretical framework. Implication for the study indicates organizations should prioritize visible, user-centered PHI security measures and continuous, role-relevant policy education to strengthen documentation quality and compliance. Future research should employ longitudinal designs, incorporate objective documentation measures, and explore additional moderating and mediating factors such as system usability and organizational culture.

Keywords: PHI security, policy awareness, EHR documentation, Technology Acceptance Model, Protection Motivation Theory, healthcare professionals.

Title: A Quantitative Analysis of Healthcare Professionals’ Perceptions of Patient Health Information Security and Its Influence on Electronic Health Record (EHR) Usage

Author: Dr. David Augustine Bull

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 155-171

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Website: www.researchpublish.com

Published Date: 14-August-2025

Abstract: Learning Management Systems (LMS) generate substantial volumes of unstructured behavioral data, commonly referred to as “dark data,” that hold considerable promise for enhancing instructional design. Despite their availability, these data often remain underutilized by faculty in higher education. This quantitative study examined the extent to which perceived usefulness, perceived ease of use, and institutional readiness predict the integration of LMS dark data into instructional practices. Survey data were collected from 150 faculty members and analyzed using Pearson correlation, multiple linear regression, and moderated regression analysis. Pearson correlations indicated weak, non-significant relationships between the predictors and dark data integration: [r = –.107] for perceived usefulness, [r = –.029] for perceived ease of use, and [r = –.040] for institutional readiness. A multiple linear regression model also failed to reach statistical significance, [F(3, 146) = 0.62, p = .602, R² = .013], suggesting that these variables did not meaningfully explain variation in dark data use. To explore whether institutional readiness influenced these relationships, two moderated regression models were tested. Results revealed no significant interaction effects for perceived usefulness × institutional readiness, [β = –0.087, p = .420], or perceived ease of use × institutional readiness, [β = 0.095, p = .477]. These findings challenge the predictive adequacy of the Technology Acceptance Model (TAM) in the context of emerging learning analytics practices and suggest that faculty engagement with dark data may depend more on factors not captured by traditional models. The study underscores the potential importance of digital self-efficacy, behavioral intention, ethical clarity, and departmental data culture in shaping instructional use of LMS-generated behavioral data. Implications for institutional policy and instructional design strategy are discussed.

Keywords: dark data, healthcare professionals, data utilization, technology acceptance, perceived value, readiness, data literacy, unstructured data.

Title: Unrealized Potential: Faculty Perceptions and the Limited Integration of LMS Dark Data in Instructional Design

Author: Dr. David Augustine Bull

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 136-154

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Website: www.researchpublish.com

Published Date: 06-August-2025

Abstract: As manufacturing keeps changing fast, staying on top of industry regulations like ISO 27001, NIST, and GDPR is super important for solid security practices. This paper introduces a fresh way to automate security audits for manufacturing companies, emphasizing continuous compliance through automated auditing tools. These tools blend security frameworks with advanced AI systems to carry out real-time assessments of manufacturing environments, spot security vulnerabilities, and create thorough compliance reports. By using AI and automation, our system allows for quick fixes to security gaps without any manual work, helping manufacturing organizations stay compliant with strict regulatory standards. Our research shows how automated auditing can cut down on operational costs, minimize compliance risks, and bolster security in manufacturing, all while keeping up with efficiency and regulatory demands.

Keywords: Digital Twins, Security Automation, Anomaly Detection, Manufacturing Systems, Real-Time Monitoring, Machine Learning, Threat Intelligence, Automated Lockdown, Cybersecurity Framework, Continuous Learning, Isolation Forest, Edge Computing, SIEM Integration, SOAR Platforms.

Title: Autonomous Security Audits for Manufacturing Compliance

Author: Abhilash Kamtam

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 127-135

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Website: www.researchpublish.com

Published Date: 28-July-2025

Abstract: The HVAC industry relies heavily on a variety of important files, including design schematics, maintenance records, compliance documents, and sensor data. Managing this growing volume of information efficiently is critical for maintaining operations, ensuring regulatory compliance, and tracking equipment maintenance.

This paper presents an AI-powered system for managing metadata-rich files within HVAC environments. The system leverages machine learning, natural language processing (NLP), and cloud integration to automatically categorize files, enable intelligent search, detect duplicates, and streamline compliance monitoring. It extracts metadata from sources such as IoT sensor logs, CAD drawings, and service reports to improve document organization and retrieval.

To ensure security, the system includes role-based access control (RBAC), encryption, and anomaly detection to identify unauthorized access. By integrating with cloud storage and IoT networks, it enhances file accessibility, reduces data redundancy, and helps HVAC organizations meet industry security standards.

Overall, this AI-driven metadata management approach improves file retrieval speed, compliance oversight, storage efficiency, and data protection. It demonstrates how intelligent automation can optimize HVAC digital workflows while supporting real-time operations and regulatory adherence.

Keywords: HVAC, Metadata Management, AI-Based File Management, Machine Learning, Natural Language Processing (NLP), Cloud Integration, Document Security, Role-Based Access Control (RBAC), Anomaly Detection, Encryption, Duplicate Detection, Intelligent Search, Regulatory Compliance, IoT Integration, Predictive Analytics, Blockchain for Document Authentication, Automated Workflow, Secure Data Storage, Audit Logs, Smart File Categorization, DNS.

Title: Securing HVAC Systems with AI-Powered Metadata Intelligence

Author: Aakarsh Mavi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 121-126

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Website: www.researchpublish.com

Published Date: 28-July-2025

Abstract: Dark data, unstructured and often overlooked healthcare information, represents an untapped asset with the potential to revolutionize clinical decision-making and operational efficiency. This mixed-methods study examined healthcare professionals’ perceptions of dark data, focusing on awareness, perceived value, confidence, and barriers to use. Quantitative findings from 220 survey respondents revealed moderate awareness (M = 3.50, SD = 0.95) but significantly high perceived value (M = 3.82, SD = 0.99; [t(219) = 17.30, p < .001, Cohen’s d = 1.84)]. However, neither awareness, value, role, nor experience predicted confidence in use (R² = .041), suggesting a readiness gap. Qualitative insights from 15 semi-structured interviews identified five themes: conceptual ambiguity, belief in potential, organizational barriers, lack of professional development, and restricted data access. Synthesizing both strands of data revealed a disconnect between enthusiasm for dark data and institutional capacity to support its use. Guided by the Diffusion of Innovations and Technology Acceptance models, the study highlights the need for strategic interventions. These include education programs, workflow integration, updated governance frameworks, and support for clinician-led innovation. The study concludes that institutional and operational hardiness, defined as the systemic resilience and adaptability required to mobilize human, technical, and policy resources, is essential to realize dark data’s transformative potential in healthcare.

Keywords: dark data, healthcare professionals, data utilization, technology acceptance, perceived value, readiness, data literacy, unstructured data.

Title: Is Untapped Dark Data a Missed Opportunity? A Mixed-Methods Study of Healthcare Professionals’ Perceptions and Barriers

Author: Dr. David Augustine Bull

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 100-120    

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Website: www.researchpublish.com

Published Date: 26-July-2025

Abstract: The Power Economic Dispatch (PED) problem plays a crucial role in the optimal allocation of generating resources to meet electricity demand while minimizing operational costs in power systems. This project presents the application of the Firefly Algorithm (FA), a bio-inspired optimization technique, to solve the PED problem with an emphasis on cost minimization. The Firefly Algorithm, known for its efficiency in exploring complex solution spaces, was adapted to optimize the dispatch of power generation units considering various constraints, such as generation limits and demand requirements. The objective is to minimize the total fuel cost of power generation, which can significantly enhance the operational efficiency of power systems. The model was implemented and tested on a set of benchmark test systems, demonstrating the superiority of Firefly Algorithm in terms of solution quality and computational efficiency compared to traditional optimization methods. The results confirm that the Firefly Algorithm-based cost optimization model provides a promising approach for solving the PED problem, with potential applications in real time energy management and grid optimization. Additionally, the paper highlights the potential of the Firefly Algorithm to be adapted and scaled for other power plants, demonstrating its flexibility and adaptability to different system sizes and operational conditions. This makes it a promising tool for optimizing generation costs in power plants seeking to minimize their operational costs while maintaining the reliability and stability of the grid.

Keywords: Economic Dispatch, Firefly Algorithm, Cost Optimization Model, Power Distribution for Stations, Particle Swarm Optimization (PSO), Power Allocation.

Title: SOLVING POWER ECONOMIC DISPATCH PROBLEM USING FIREFLY ALGORITHM-BASED COST OPTIMIZATION MODEL

Author: Prof. S.A Oluwadare, Dr (Mrs) O. Owolafe, Ojeyinka James, Dr. (Mrs) Adegun IyanuOluwa, Dr. Adisa Solagbade

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 92-99        

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Website: www.researchpublish.com

Published Date: 14-July-2025

Abstract: The use of mobile phones has increased in recent years compared to now. As a result, the students' academic performance suffers, and they wind up spending more time playing than learning. Recent research has demonstrated that trying to teach children using the conventional pen, paper, and speech methods is insufficient and more difficult, particularly during the Covid-19 pandemic. Given these circumstances, the researchers developed “Mathic”, an educational app for Android that is intended to give students in Grades 1-3 an enjoyable, gamified arithmetic learning experience with the aid of interactive components, star awards, and a content management system to create computer-assisted training and customized quizzes for teachers. The Department of Education's modules for the 2020–2021 academic year were used for the app content. The researchers followed Agile model in developing the app. The program was created using Unity Game Engine with C# as the programming language. Google Firebase and Unity Built-in PlayerPrefs System was utilized for the database. The application underwent functionality and compatibility tests. Mobile Application Rating Scale (MARS) was used to evaluate the app which yielded a total average mean of “3.79” and a Standard Deviation of “0.05”, interpreted as “Highly Acceptable”. The evaluation results proved that the application was useful to engage children towards learning Mathematics and as a useful supplementing tool for teaching.

Keyword: Computer-Aided Instruction, Gamification, Mathematics, Teaching Methods.

Title: MATHIC: A Gamified Computer-Aided Instruction for Elementary Students

Author: Jaypee Bolonia, Aeriel Cian Colos, Geraldine Iso, John Russel Santos, Genson Mendoza, Joven Cajigas

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 81-91        

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Website: www.researchpublish.com

Published Date: 09-July-2025

Abstract: The growing reliance on cloud infrastructure for storing and managing relational databases has introduced critical challenges in preserving data confidentiality while enabling efficient query execution. Traditional encryption schemes offer strong data protection but often impede the ability to perform complex SQL operations without decryption, creating a trade-off between security and functionality. Recent advances in privacy-preserving query processing techniques—including homomorphic encryption, searchable encryption, oblivious RAM, and secure multiparty computation—have revolutionized the field by enabling secure computation over encrypted data with minimal performance penalties. This review paper systematically analyzes the state-of-the-art mechanisms that support encrypted SQL query processing in cloud-hosted relational databases. It evaluates the theoretical foundations, computational overheads, query expressiveness, and practical deployment scenarios of these privacy-preserving methods. Furthermore, it explores hybrid approaches that combine cryptographic and hardware-based techniques to balance performance with security guarantees. The paper also highlights emerging trends such as federated SQL processing, data provenance tracking, and secure hardware enclaves that are reshaping privacy-preserving architectures. The study aims to provide a comprehensive understanding of the current capabilities, limitations, and future research directions in secure query execution for encrypted relational databases deployed in cloud environments.

Keywords: Encrypted SQL Query Processing, Homomorphic Encryption, Secure Cloud Databases, Privacy-Preserving Computation, Searchable Encryption, Cloud Data Confidentiality.

Title: Recent Advances in Privacy-Preserving Query Processing Techniques for Encrypted Relational Databases in Cloud Infrastructure

Author: Onuh Matthew Ijiga, Nonso Okika, Semirat Abidemi Balogun,^. Ogboji James Agbo, Lawrence Anebi Enyejo

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 62-80        

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Published Date: 08-July-2025

Abstract: This capstone project, titled “Indang Faith Connect: A Web-Based Online Community Platform for St. Gregory the Great Parish, Indang”, was designed to cater to the changing requirements of St. Gregory the Great Parish in Indang. Through the development of the project, the parish community’s environment and relationships, and how technology will be used to improve the delivery of its services, increase community involvement, and assist the development of faith among its members were significant considerations. The web platform was created using HTML5, CSS, JavaScript, jQuery, Bootstrap, PHP, and MySQL for the front-end and interactive UI experience, and Visual Studio Code for the UI and admin side. Functionality and Compatibility testing were conducted by a technical adviser, three IT specialists, and the Ministry of Research and Communication. The results indicated a 100% success rate from all testers. The project also met the ISO-25010 criteria, with positive feedback and adherence to the ISO-25010 being "Highly Acceptable." While focusing on catering services for the parish church, the project will benefit various stakeholders by addressing Internet accessibility and community outreach.

Keywords: Indang Faith Connect, St. Gregory the Great Parish, Community outreach, HTML5, CSS, JavaScript, Visual Studio Code, Functionality testing, Compatibility testing, ISO-25010.

Title: Indang Faith Connect: A Web-Based Online Community Platform for St. Gregory the Great Parish, Indang

Author: Lester Ahr C. Sambile, Jerome S. Crudo, Darryl Ken L. Valencia, Tom Russel Villarin, Dr. Elmer Matel, Dr. Elizabeth Nsubuga

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 39-61        

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Website: www.researchpublish.com

Published Date: 07-July-2025

Abstract: The purpose of this project is to provide excellent entertainment and encourage the younger generation to learn more about major and pivotal events in Philippine history. This study is a third person point of view desktop application; a 3D game designed to educate and entertain the younger generation. The application developed is supported in Windows operating system only. The study develops an adventure game that implemented a 3Dperspective view using the Unity 3D application for the game engine, C# for the programming language, Blender and Adobe Photoshop for creating 3D objects and user interface. A mixed method was used in the study and a pre-survey distributed to a total of 34 individuals. The majority of the participants preferred the application to be implemented as a desktop game. Functionality and compatibility tests were used as test cases. ISO 25010 standard was used for the evaluation which included ten IT experts, thirty end-users and two Social Science teachers. The PC Game Application received positive feedback from respondents. The Compatibility and Functionality test conducted by 5 IT Experts yielded scores ranging from 97.30% to 100%. The Evaluation Test, which involved IT Experts, End Users, and Social Science teachers, received an overall mean score of 3.56 and a standard deviation of 0.22, indicating it was considered "Highly Acceptable." Evaluators found the performance satisfactory, with clear visibility, easy navigation, and intended functionality.

Keywords: Philippine History, 3D Game, Desktop, Adventure Game, National Heroes.

Title:  Alpas ng Kasaysayan: A 3D Adventure Game about the Philippine Heroes

Author: John Dominick F. Basiño, Ian Marc B. Batilo, Clowie Bryle S. Espiritu, Rixcel John P. Rico, Raymund Constante, Joven B. Cajigas, Edison E. Feranil

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 29-38        

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Website: www.researchpublish.com

Published Date: 01-July-2025

Abstract: This research project, entitled "iShopLycean: AN E-COMMERCE BOOK STORE APPLICATION FOR THE STUDENTS OF LYCEUM OF THE PHILIPPINES UNIVERSITY CAVITE” aimed to establish an e-commerce system connecting the LPU bookstore with the students of LPU Cavite. To achieve this, a web admin system was developed to serve as an inventory and customer transaction management system for the bookstore, enabling a digital e-commerce solution. Moreover, a mobile application named iShopLycean was created for students to browse and order products using their mobile devices. The development of the project utilized Microsoft Visual Code, MySQL, and XAMPP, with HTML5, CSS, and Laravel as the primary framework. Rigorous testing by IT experts resulted in a 100% score for functionality and compatibility of both the web admin system and mobile application. Evaluations, based on ISO 25010 and MARS, yielded highly acceptable ratings of 3.90 and 3.93, respectively. The project successfully provided an effective e-commerce solution, enhancing the LPU bookstore's business processes and services. The students of LPU Cavite also gained an efficient way to order products through the iShopLycean mobile application. Lastly, the project's implementation demonstrated its ability to facilitate seamless online transactions, implementing an ecommerce experience for both the bookstore and students of LPU Cavite.

Keywords: iShopLycean, LPU Bookstore, E-Commerce, web admin system, mobile application.

Title: iShopLycean: An Ecommerce Book Store Application for the Students of Lyceum of the Philippines University Cavite

Author: Laarni Marie Lalic, Angelo M. Capili, Eloisa Mae T. Bautista, Lean Christopher B. Arzobal, Prince Cxedrick B. Nava, Raymund Constante, Genson P. Mendoza

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 18-28

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Website: www.researchpublish.com

Published Date: 01-July-2025

Abstract: In our modern internet technology, every electronic device has a web browser installed. It makes the adoption of the software very efficient. The significant advantage of a webbased management system is it provides convenience to its users because it can be easily accessible since most people already have their own electronic devices that they can use. The Homeowner’s Association officers and residents from Elliston Place Subdivision are experiencing issues managing the resident’s records — homeowners’ information, monitoring the payment dues, issuance of homeowner’s association documents, posting announcements, and option for residents to file an appointment with the HOA officers about complaints. Web-based information management systems make it easier to give real-time information access. It has also advanced significantly and now provides competitive benefits over traditional manual process systems, allowing management to optimize their systems and processes while reducing costs. It is very simple to keep up with an update. The system was developed using PHP as the main programming language and MySQL as the database. All graphics are created using Canva. The researchers used the Agile model as the software development life cycle. It is compatible with different web browsers, such as Google Chrome, Microsoft Edge, and Safari. ISO 25010 was used to evaluate the system by thirty (30) End users, one (1) Admin, and ten (10) IT Experts with a total average mean of “3.46” and a standard deviation of “0.37”, interpreted as “Highly Acceptable”. The evaluation results verified that the system is effective and highly convenient to use.

Keywords: Web-Based Information Management System, Homeowner’s Association, Subdivision, Setting Appointment, Certificate Issuance, Content Management System.

Title: EP.PORTAL: WEB-BASED INFORMATION MANAGEMENT SYSTEM FOR ELLISTON PLACE SUBDIVISION

Author:  Andrey A Bandola, Mark Anthony G. Guillermo, Jeloh Nashly S. Janairo, Jericho L. Tan, Raymond M. Utrera, Prince Cxedrick B. Nava, Sean Charlston Gono

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 13, Issue 3, July 2025 - September 2025

Page No: 1-17

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Published Date: 01-July-2025