PRESENT: An Android-Based Class Attendance Monitoring System Using Face Recognition Technology
Djoanna Marie V. Salac

TL;DR
This paper presents an Android-based face recognition system to streamline class attendance monitoring, making it faster, more reliable, and easier for instructors, with positive evaluations from faculty members.
Contribution
The study introduces a novel Android application utilizing face recognition technology for attendance, evaluated positively for functionality, reliability, usability, and portability.
Findings
Instructors find traditional attendance methods time-consuming.
The application is moderately acceptable in functionality, reliability, and usability.
Portability of the app is rated highly acceptable.
Abstract
The study aimed to develop an Android-Based Class Attendance Monitoring Application using Face Recognition to make attendance checking and monitoring easier and faster. The researcher used incremental model as the software development process and the application was evaluated by seventeen (17) faculty members .A validated evaluation questionnaire was used to rate the level of acceptability of the application based on ISO 9126 software quality and the level of satisfaction for its major features. For the statistical treatment of the data collected, Likert Scale, weighted mean and t-test were utilized by the researcher. The results revealed that instructors find the existing way of checking attendance as time consuming and a tedious task. Furthermore, the respondents assessed the developed application as moderately acceptable in terms of functionality, reliability and usability while…
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