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All Journal Jurnal PENA : Penelitian dan Penalaran Journal of Business Management Education (JBME) MODELING: Jurnal Program Studi PGMI Triadik International Journal of Community Service Learning JURTEKSI JISIP: Jurnal Ilmu Sosial dan Pendidikan Reswara: Jurnal Pengabdian Kepada Masyarakat STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE MSI Transaction on Education MAHESA : Malahayati Health Student Journal Jurnal Impresi Indonesia Jurnal Ilmu Komputer Dan Informatika Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Teknik Mesin Sinergi Internet of Things and Artificial Intelligence Journal Jurnal Sosial dan Sains Journal of Vocational Instruction Teknovokasi : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM JOEEL (Journal of English Education and Literature) PEDAMAS (Pengabdian Kepada Masyarakat) Da'watuna: Journal of Communication and Islamic Broadcasting Journal of Progressive Information, Security, Computer and Embedded System Jurnal Cakrawala Bahari Jurnal MediaTIK Journal of Electrical Engineering and Informatics Media Elektrik Jurnal Vokasi Keteknikan Digitus : Journal of Computer Science Applications Jurnal Teknologi Rekayasa Informasi dan Komputer
Muhammad Agung
Universitas Negeri Makassar
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Journal : Media Elektrik

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REAL-TIME STUDENT FACIAL EXPRESSION DETECTION TO IDENTIFY STUDENT INTEREST IN LEARNING IN CLASS USING CNN AND YOLO Maninnori Nawirma, Maulana; Agung, Muhammad; Gunawan Zain, Satria
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9406

Abstract

Understanding students’ emotional involvement is essential for optimizing teaching strategies and improving learning outcomes in the classroom. This study employed a Research and Development (R&D) method aimed at developing a system to identify students’ learning interest based on real-time facial expression detection. The system consists of three main components: input in the form of facial images captured by a webcam, expression classification processed by a laptop, and output in the form of information indicating the level of student interest. The devices used in testing included a Logitech C310 webcam connected to an MSI Cyborg 15 A12VE-074ID laptop, equipped with an Nvidia RTX 4050 GPU. The algorithm used for the recognition and classification process was a Convolutional Neural Network (CNN) implemented through the YOLO version 11 framework. The dataset consisted of 1,128 student facial expression images classified into two main categories: (1) interested expressions, including happy and surprised, and (2) uninterested expressions, including angry, fearful, sad, and disgusted. These expressions represent basic human emotions. The test results showed that the system achieved an accuracy rate of 86.04% and a precision rate of 89.57%, with an average detection time ranging from 31 to 50 milliseconds. Testing conducted over five days of classroom sessions demonstrated that the system was able to operate stably and accurately using a webcam, even under varying lighting conditions, angles, and facial movements, with an average frame rate of 30–32 FPS.
Co-Authors Abd. Rasyid Syamsuri Abda Abda Abdul Hakim Abdul Wahid Adi, Emmanuel Ariananto Waluyo Aminuddin, Amin Andi Baso Kaswar Andi Baso Kaswar Andi Muadz Palerangi Anggoro, Anggoro Apridiansyah, Yovi Ardiansyah, M. Rivaldi Asdiono, Asdiono Audia, Alanis Badaruddin Anwar Bahar, Muhammad Mahdinul Baharuddin Baharuddin BAKHRANI RAUF Bau Salawati Bestin, Bakti Daulay, Indi Ramadhani Dedy Kurniadi Elfira Wirza, Elfira Elisatris Gultom Erniyani, Erniyani Ervina Eka Subekti Erwan Efendi Erwandi, Yetman Fatmawati Fatmawati Fivia Eliza Gunawan Gunawan Gunawan Zain, Satria Hamsi Mansur Handayani, Sri Haryadi, Tri Wimbi Hasim, Muhammad Helza Nova Lita Husaini Husaini Husda, Baso Riadi I Nyoman Sila Iriyanti, Aldarisma Januar, Marcelino Jumadi Mabe Parenreng Kasim, Muh. Alwi Rizkyansyah Khusnul Fajriyah Maninnori Nawirma, Maulana Marliyah, Marliyah Mauliana, Ana Muhammad Fajar B Muhammad Nasir Muhammad Rais B Muhammad Yahya Muhtarom, Muhammad Nabil Mukhlis . Nana Ganda Nur Fadillah, Nur Nur Fuadah Nur, Muh Irfan Nurdin, Aswin Paulus, ⁠Listina Pujianto, Dian Purbo Wartoyo, Bayu Putra, Deka Tri Raodah Raodah Raodah Raodah, Raodah Safitri, Bujing Sapta, Andy Sa’ban Miru, Alimuddin Seno, Abdi Siti Aisyah Sudarmanto Jayanegara Sudirman Sudirman Suhendra, Janice Sukron, Sukron Surya Surya Suwango, Jerry Suyanta Suyanta Swandayani, Deysi SYAFAR, A. MUHAMMAD Syahrir, Nurlina Tanjung, Dhiauddin Tommy, Tommy Tsary Arrofi, Dinda Yusuf Wahid, M. Syahid Nur Widiowati, Nindi Yohandri Bow Yulia Darmi Zaudah Cyly Arrum Dalu