College of Computing Studies

Academic Thesis Archive

Explore research and capstone projects from BSIS & BSCS students of JOSE RIZAL MEMORIAL STATE UNIVERSITY- TAMPILISAN CAMPUS.

Thesis Archive

Explore our comprehensive collection of academic research and innovative projects.

THESIS GRADER: A WEB-BASED EVALUATION AND GRADING SYSTEM FOR THESIS PANEL REVIEW IN THE COLLEGE OF COMPUTING STUDIES IN JOSE RIZAL MEMORIAL STATE UNIVERSITY – TAMPILISAN CAMPUS (JRMSU – TC)
BSIS Class of 2026

THESIS GRADER: A WEB-BASED EVALUATION AND GRADING SYSTEM FOR THESIS PANEL REVIEW IN THE COLLEGE OF COMPUTING STUDIES IN JOSE RIZAL MEMORIAL STATE UNIVERSITY – TAMPILISAN CAMPUS (JRMSU – TC)

Code: vbeb Project Abstract

This study aimed to design, develop, and evaluate the Thesis Grader: A Web-Based Evaluation and Grading System for Thesis Panel Review in the College of Computing Studies. The study addressed the limitations of the existing manual evaluation process, which relied on paper-based forms and manual grade computation, resulting in delays, errors, and difficulties in managing evaluation records. To address these issues, the researchers developed a web-based system that automates user authentication, scheduling, panel assignment, evaluation, scoring, feedback submission, and report generation. The system utilizes a centralized database and client-server architecture to ensure secure and efficient data processing. The system was evaluated by twenty (20) respondents from the College of Computing Studies of Jose Rizal Memorial State University – Tampilisan Campus in terms of functionality, reliability, and usability. Functionality focused on features and performance, reliability emphasized consistency and error handling, while usability focused on ease of use. The findings revealed that the Thesis Grader System improved the efficiency, accuracy, and organization of the thesis evaluation process by reducing manual errors, minimizing processing time, and enhancing data management. Therefore, the study concluded that the system is an effective and reliable solution for improving thesis panel review and grading.

Group Members
EJ E. AMIT
REY F. CHAVEZ
JEZRAEL A. DUMALI
VELTRAN S. ESPINA JR.
JENIE P. POCONG
2 views
Cloud Link
TICKETLESS STUDENTS ID OPERATED QUEUE MANAGEMENT OPTIMIZATION WITH SMS NOTIFICATION AND VOICEOVER FEATURE
BSIS Class of 2026

TICKETLESS STUDENTS ID OPERATED QUEUE MANAGEMENT OPTIMIZATION WITH SMS NOTIFICATION AND VOICEOVER FEATURE

Code: vbb Project Abstract

This study focused on the design, development, and evaluation of a Ticketless Students ID Operated Queue Management Optimization with SMS Notification and Voiceover Feature for the Registrar’s Office of Jose Rizal Memorial State University – Tampilisan Campus. The system aimed to improve the existing queue process by providing a more organized, accessible, and efficient service experience for students and alumni. The system was developed as a web-based platform using PHP, MySQL, AJAX, and Bootstrap 5, and was deployed through an online hosting service. It utilized Student ID authentication for secure access, a centralized display through an Android Smart TV for real-time queue updates, SMS notifications via iProg SMS, and voiceover announcements to inform users of their queue status. A researcher-made questionnaire was used to evaluate the system based on service efficiency, accessibility, notification effectiveness, and user satisfaction. A total of thirty (30) respondents participated in the evaluation to satisfy the requirements of the Central Limit Theorem for quantitative analysis of system quality. The data were analyzed using weighted mean. The results revealed that the system obtained a very high level of effectiveness across all variables, indicating that it successfully improved the queue management process. The study concludes that the system is a reliable solution for enhancing service delivery in the Registrar’s Office.

Group Members
JERIAN I. CHAVEZ
ARGIE A. DELA TORRE
TIM KYLE S. INDAPAN
REYNEL MICK D. MIRA
SHAINE C. PASCULADO
4 views
Cloud Link
×
×

Thesis Title

Full Research Abstract
Abstract text goes here...