Online loan management system for CvSU Multipurpose Cooperative (CvSU MPC) / by Ernani M. Daquiz, Raymond M. Ersando, Mark Angelo P. Kasaysayan, Raniel Anne A. Luzon.
Material type: TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2022.Description: xii, 97 pages : illustrations ; 28 cmContent type:- text
- unmediated
- volume
- 332.7 D23 2022
- College of Engineering, and Information Technology (CEIT)
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|---|
Theses / Manuscripts | Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 332.7 D23 2022 (Browse shelf(Opens below)) | Link to resource | Room use only | T-8892 | 00081466 |
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Thesis (Bachelor of Science in Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT)
DAQUIZ, ERNANI M., ERSANDO, RAYMOND M., KASAYSAYAN, MARK ANGELO P.,
LUZON, RANIEL ANNE A., Online Loan Management System for CVSU Multipurpose
Cooperative. Undergraduate Thesis Bachelor of Science in Computer Science. Cavite
State University, Indang, Cavite. July 2022. Adviser: Mrs. Ria Clarisse M. Sy.
The study conducted from August 2021 to July 2022 was done to provide a more
efficient and flexible way for the member of CvSU Multipurpose Cooperative to for loans. It has
a loan monitoring module that holds all of the data on the existing and unpaid loans of the
members, and a loan calculator functionality to compute for loanable and payable amounts.
The researchers used JavaScript (React) for frontend, JavaScript (node) for the backend
and MongoDB for the database. A total of 62 participants comprised of 12 technical and 50 non-
technical evaluators were given software evaluation sheets to assess and evaluate the system
according to its functionality, reliability, usability, maintainability, and helpfulness.
The overall mean for the technical evaluation was 4.33 and 4.65 for the nontechnical
evaluation, both of which is "Excellent". This implies that the study has met the unexpected
features of the intended users, as well as the approval of technical specialists.
Submitted to the University Library 06/27/2022 T-8892