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All Journal Electron: Jurnal Ilmiah Teknik Elektro Journal of Fuzzy Systems and Control (JFSC) Emitor: Jurnal Teknik Elektro
Ulya Darajat, Anisa
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Emitor: Jurnal Teknik Elektro

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Gender Identification and Population Detection in a Room Using YOLOv8 Zulfi, M.Ridho; Sumadi; Murdika, Umi; Ulya Darajat, Anisa
Emitor: Jurnal Teknik Elektro Vol 25, No 1: March 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i3.5734

Abstract

In today's digital era, lectures and higher education have experienced rapid development, especially in theuse of technology. Technology has opened up various opportunities to improve efficiency and effectiveness in variousaspects of education. One aspect that needs to be improved is the presence of students in lectures. Through this thesis,the author aims to develop a tool that can overcome the problem of recapitulation of student attendance using imageprocessing technology and the YOLOv8 algorithm, then adding male and female face training data to identifygender. By combining the latest technology and this innovative approach, it is hoped that an efficient and accuratesolution can be created to record student attendance in lectures. In this study, the implementation of population countand gender identification within a room using YOLOv8 achieved a precision value of 100%, a recall value of 100%,an accuracy value of 100%, and an F1-score value of 100%.
Co-Authors Fahmizal Faida, Afida Nur Ferdous, Mohammad Farhan Sumadi Swadexi Istiqphara Swadexi Istiqphara, Swadexi Umi Murdika Zulfi, M.Ridho