THESISQUO: Research Management System with Plagiarism Checker and Prescriptive Analytics
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.11, No. 3)Publication Date: 2022-06-12
Authors : Jayson A. Batoon Jack Leonard M. Ramos John Maverick M. Pineda Juan Miguel L. Dizon Leo Carlo C. Reyes Mohammed B. Morad Ahmed Ralph Gordon S. Delos Santos;
Page : 101-107
Keywords : Repository; Plagiarism Checker; Research Online Repository;
Abstract
The researchers established a study that can benefit educational institutions by offering an online repository for undergraduate, graduate, master's, and doctorate thesis studies. The system includes a Plagiarism checker that scans and checks the similarity of the thesis study that will be uploaded to the system. The system also includes Prescriptive analytics that can give a real-time update about the current study count, highest upload count, and other relative data that can be presented to help the end-user decide on what study to develop. The researchers and developers ask the guidance and help from faculty, students, and some IT experts from Bulacan State University by evaluating the system. The system's evaluation is based on ISO 25010 and was based on the Likert scale with the scale and descriptive interpretations.
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Last modified: 2022-06-19 20:10:52