IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025i10p1485-1497.html
   My bibliography  Save this article

BarangayConnect: A Web-Based Information Portal for Resident Data, Administrative Services, and Community Records Using Data Analytics and Linear Regression Algorithms

Author

Listed:
  • John Vincent Enaño

    (Arellano University, Pasig Campus)

  • Khevyn P. Natividad

    (Arellano University, Pasig Campus)

  • Darell R. Pantoja

    (Arellano University, Pasig Campus)

  • Ferdinand Carlo D. Ebi

    (Arellano University, Pasig Campus)

  • Jerie Vale Bautista

    (Arellano University, Pasig Campus)

  • Dina Cura

    (Arellano University, Pasig Campus)

Abstract

The study developed a web-based application called BarangayConnect, specifically designed to streamline barangay operations through digital transformation. The system provides a centralized platform that allows residents to request services-such as barangay clearances, certificates of residency, and identification cards-without physically visiting the barangay hall. This innovation benefits residents by reducing the time and effort required for document processing and assists barangay staff by minimizing manual paperwork and improving service efficiency. BarangayConnect was developed following the System Development Life Cycle (SDLC) Waterfall Model, ensuring a structured and systematic process across the stages of planning, analysis, design, development, testing, and deployment. The system is built using PHP, MySQL, HTML, CSS, and JavaScript, resulting in a responsive and user-friendly interface accessible on both computers and mobile devices. It features automated request handling, record management, and report generation, all accessible through an intuitive dashboard for barangay staff. To support data-driven governance, the system integrates a Linear Regression Algorithm to analyze demographic and community data, allowing barangay officials to forecast population trends and predict service demands. This predictive component assists in strategic planning and resource allocation based on real-time data insights. The study utilized a developmental research design focused on system creation, testing, and evaluation. The Waterfall Model guided the project's flow-starting with user requirement analysis, followed by system design using data flow and entity-relationship diagrams. The development phase involved coding and integration of both the front-end and back-end components using the chosen web technologies. During the testing phase, functionality and usability were verified through simulation of real barangay operations. The system's quality and performance were evaluated using the ISO 25010 Software Quality Model, which assessed functionality, reliability, efficiency, usability, and portability. Data were gathered from fifty (50) respondents, equally divided between barangay staff/residents and technical experts. Their feedback provided quantitative and qualitative insights into the system's effectiveness and areas for improvement. The results revealed an overall mean rating of 3.0 (Agree), indicating that the system is effective, accessible, and reliable. Respondents strongly agreed on its efficiency, usability, and portability, though enhancements were recommended to further improve system functionality and reliability. In conclusion, BarangayConnect successfully modernizes barangay operations through automation and analytics, fostering transparency, accessibility, and citizen engagement.

Suggested Citation

  • John Vincent Enaño & Khevyn P. Natividad & Darell R. Pantoja & Ferdinand Carlo D. Ebi & Jerie Vale Bautista & Dina Cura, 2025. "BarangayConnect: A Web-Based Information Portal for Resident Data, Administrative Services, and Community Records Using Data Analytics and Linear Regression Algorithms," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(10), pages 1485-1497, October.
  • Handle: RePEc:bcp:journl:v:9:y:2025:i:10:p:1485-1497
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/uploads/vol9-iss10-pg1485-1497-202511_pdf.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/journals/ijriss/articles/barangayconnect-a-webbased-information-portal-for-resident-data-administrative-services-and-community-records-using-data-analytics-and-linear-regression-algorithms/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:i:10:p:1485-1497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.