Integration of Attendance System with Geolocation and Photo Features for Counseling Recommendations Based on TOPSIS Method at MA Salafiyah Ahmad Said

Muhammad Abdul Khafid, Diana Laily Fithri, Noor Latifah

Abstract


Madrasah Aliyah Salafiyah Ahmad Said faces challenges in managing student attendance manually, which takes a significant amount of time. To address this, this study develops an attendance system integrating geolocation, facial photo, and the TOPSIS method to improve attendance accuracy and efficiency. The system enables attendance validation through geolocation and real-time facial photo capture, analyzing student attendance data in 1-2 minutes per month. The analysis results are used to provide counseling recommendations to the counseling teacher for students with low attendance. This system is expected to enhance student discipline, speed up the analysis process, and support more effective decision-making in the learning environment.

Keywords


Attendance Discipline, Attendance System, Counseling Guidance, Geolocation, TOPSIS, Decision Support System, Attendance Monitoring, Information Technology

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References


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DOI: https://doi.org/10.24176/insytech.v1i2.14518

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