IDEAS home Printed from https://ideas.repec.org/a/jcs/journl/v1y2017i2p1-9.html
   My bibliography  Save this article

HAYBOL: An Android-Based Apartment Locator Application

Author

Listed:
  • Mark Lloyd Lester S Consignado

    (College of Computer Studies, Laguna State Polytechnic University)

  • Mark Lesther A Velasco

    (College of Computer Studies, Laguna State Polytechnic University)

  • Aladdin Paolo A Sanvictores

    (College of Computer Studies, Laguna State Polytechnic University)

  • Archieval M Jain

    () (College of Computer Studies, Laguna State Polytechnic University)

  • Francis F Balahadia

    () (College of Computer Studies, Laguna State Polytechnic University)

Abstract

Purpose – The study aims to develop a system for finding apartments and boarding houses named as HAYBOL. This android-based apartment locator application is a mobile one that can be used by the community especially students, easily find apartments and boarding houses as well as to help owners promote their businesses. Method – The proponents used Rapid Application Development (RAD) in developing the software which is a systems developmental method that follow phases such as requirement planning, user design, construction and cutover. Then, it also facilitated testing and evaluation, purposive sampling was used to select the respondents. Two sets of questionnaires were developed, one for the apartment and boarding house owners and another for the tenants. Results – Based on the result on the system evaluation using ISO 9126 in terms of functionality, usability, content, reliability and performance. Overall, the application was rated as 3.55 over which verbally-interpreted as excellent. Conclusion – The system meets its objective to provide access to the users an application for finding apartment in a convenient way. HAYBOL is well-commendable and accepted by the community which provides a better, easy way of advertising apartments and boarding houses, and reliable tool for finding nearby apartments and boarding houses. Recommendations – It recommends an expansion of the system coverage throughout the Laguna Province and to add a user guide and direction on the easiest ways to go to a chosen apartment to improve the effectiveness and functionality of the application. Research Implications – Real time apartment information is currently growing which much provides more good services to make renters life easier. Once mobile locator application has been established in the business will help users to personalize their search and reduce the amount of time wasted on a bad rental fit and assist to set a budget looking for apartment you can afford.

Suggested Citation

  • Mark Lloyd Lester S Consignado & Mark Lesther A Velasco & Aladdin Paolo A Sanvictores & Archieval M Jain & Francis F Balahadia, 2017. "HAYBOL: An Android-Based Apartment Locator Application," International Journal of Computing Sciences Research, Step Academic, vol. 1(2), pages 1-9, August.
  • Handle: RePEc:jcs:journl:v:1:y:2017:i:2:p:1-9
    DOI: 10.25147/ijcsr.2017.001.1.06
    as

    Download full text from publisher

    File URL: https://stepacademic.net/ijcsr/article/view/21/13
    Download Restriction: no

    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:jcs:journl:v:1:y:2017:i:2:p:1-9. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Liam Demafelix). General contact details of provider: http://stepacademic.net .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.