IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v6y2022i2id19417.html

Implementation of a Georeferenced Survey System with Java Spring Framework using Controller View Model

Author

Listed:
  • Alicia Valdez

    (Autonomous University of Coahuila, Mexico)

  • Sergio Castañeda

    (Autonomous University of Coahuila, Mexico)

  • Gabriela Rodriguez

    (Autonomous University of Coahuila, Mexico)

Abstract

Information systems support many purposes in organizations of any kind. Sometimes the information systems are used to know the tendency of the population on diverse subjects; surveys have become a public issue of relevance to people. In this project a web information system of georeferenced surveys has been developed and implemented to know the vote intention of the population of the Central Region of Coahuila. Using the Netbeans Integrated Development Environmet with the Controller View Model pattern and MySQL for the database management. As a result, the application has been designed to identify geographic coordinates of the areas of interest for the application of the survey through waypoints and tracks; which record exact data of the location of the interviewer; the spring web framework modules was used for the complete development of the application. Approximately 2800 surveys were applied in a 3-month span, and it allows recording of the audio session for each one of the pollsters, according to the selected area and the corresponding sectional obtaining precise and exact data on the opinions of the respondents for subsequent analysis and graphing.

Suggested Citation

  • Alicia Valdez & Sergio Castañeda & Gabriela Rodriguez, 2022. "Implementation of a Georeferenced Survey System with Java Spring Framework using Controller View Model," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 6(2), pages 8-14, March.
    • Handle: RePEc:epw:ejece0:v:6:y:2022:i:2:id:19417
    DOI: 10.24018/ejece.2022.6.2.417
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19417
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejece/article/download/19417/11237
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejece.2022.6.2.417?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:epw:ejece0:v:6:y:2022:i:2:id:19417. 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: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    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.