Attendance Monitoring System of Schools in the Philippines with an Inclusion of Optimization Query Algorithm
Arman Bernard G. Santos1, Neil P. Balba2, Corazon B. Rebong3

1Arman Bernard G. Santos*, Professor & Research Director, Asia Technological School of Science and Arts Sta. Rosa, Laguna Philippines.
2Neil P. Balba, Professor & Director, Center for Innovation and Development Lyceum of the Philippines University, Laguna,
3Corazon B. Rebong, Professor & Vice President for Academics Colegio de San Juan de Letran-Calamba Calamba, Laguna Philippines.

Manuscript received on June 02, 2021. | Revised Manuscript received on June 15, 2021. | Manuscript published on June 30, 2021. | PP: 142-146 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H91490610821| DOI: 10.35940/ijitee.H9149.0610821
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, researchers had provided definite solutions in order to check and validate student attendance with the use of computerized seat plans along with the information and image of each student. This study also discussed the inclusion of Optimization Query Algorithm in order to identify and monitor student’s punctuality as well as the analysis of the reasons why they fail to attend their class. Attendance patterns are formed early in life because it validates one of the components of student’s academic and scholastic performance. Regular attendance is vital part of the grading component necessary to attain some portion of the student’s academic progress. You are missing out on active learning experiences and class attendance. As a result, they are more likely to to fail which tends to affect their academic performances. Index Terms: Drag, Drop, Re-Arrange, Images, Reports, Schedule, Load, Computer-Based Systems.
Keywords: The Reasons Why They Fail To Attend Their Class.