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I Putu Agus Eka Darma Udayana, I Putu Agus Eka
Institut Bisnis Dan Teknologi Indonesia (INSTIKI)
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Journal : Telematika : Jurnal Informatika dan Teknologi Informasi

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Detection of Student Drowsiness Using Ensemble Regression Trees in Online Learning During a COVID-19 Pandemic I Putu Agus Eka Darma Udayana; Ni Putu Eka Kherismawati; I Gede Iwan Sudipa
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7044

Abstract

Online lectures are mandatory to deal with the implementation of education during the COVID-19 pandemic. This significant change certainly creates a different experience for students. Regarding online learning, several public health experts and ophthalmologists say that residual radiation from electronic screens is causing an epidemic of eye fatigue. Research on smart classrooms actually appeared several years ago, but in reality it has not been implemented according to the planned concept. The current smart classroom research environment only uses outdated methods, which make the computer system incongruent (such as decision trees in video feeds) or only to the level of empirical studies or blueprints, which are not much help for other academic footing or reference materials. to students. This study aims to build an intelligent system that can evaluate students' attention during online classes, use teaching videos as learning feeds and input for predictions and also use advanced algorithms in several computational domains, namely face segmentation, landmarking, PERCLOS observations, Yawning and decision analysis using Ensemble Regression Trees to detect students' sleepiness, which is expected to patch up the shortcomings of the PERCLOS algorithm and the problems found in the single regression tree-based implementation. Based on the results of the tests that have been carried out, the system developed has been able to observe sleepy objects in learning videos with an accuracy of 80% so that later it can be a lesson for teachers why there are students who are sleepy during online classes either because of uninteresting material or other reasons.
Co-Authors Bagus Kusuma Wijaya Devi Valentino Waas Dewa Putu Yudhi Ardiana Eddy Hartono I Gede Iwan Sudipa I Gede Totok Suryawan I Gusti Agung Indrawan I Gusti Agung Indrawan I Kadek Dwi Gandika Supartha I ketut Gede Darma Putra I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Made Avendias Mahawan I Made Sukarsa I Nyoman Agus Suarya Putra I Putu Dwi Guna Ambara Putra I Putu Yoga Indrawan Ida Bagus Ary Indra Iswara Ketut Ngurah Semadi Komang Redy Winatha Lucky Hardiyanti Kartika Haris Made Dona Wahyu Aristana Made Sudarma Ni Luh Putu Ayu Cintia Utami Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Eka Kherismawati Ni Putu Eka Kherismawati Ni Wayan Sri Ariyani Ni Wayan Wardani Nyoman Putra Sastra Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Putu Satria Udyana Putra Rikcy Sanusi Risaldi Risaldi Wayan Gede Suka Parwita