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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 The current smart classroom research environment only uses outdated methods, which make the computer system incongruent (such as decision trees in video feeds) or only to the level of empirical studies or blueprints, which are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.
MEMBANGUN GENERASI YANG CERDAS DAN MANDIRI DALAM MENGELOLA UANG Ni Made Mila Rosa Desmayani; Luh Gede Bevi Libraeni; Ni Putu Eka Kherismawati; Kadek Nonik Erawati; Ida Bagus Putu Meisa Pratama Putra
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.518

Abstract

This community service program addressed the low level of financial literacy among adolescents at Posyandu Remaja Pejeng Kawan, Gianyar. Limited understanding of money management, inability to distinguish needs from wants, lack of saving habits, and absence of simple financial records indicated an urgent need for structured financial education. Strengthening financial literacy at an early age is essential to prevent consumptive behavior and to foster responsible financial attitudes in adulthood. The program was implemented through systematic stages, including observation, problem identification, training, evaluation, and reporting. A participatory approach was applied using interactive discussions, case examples, simple financial recording simulations, and a seven-day saving challenge. Evaluation was conducted qualitatively through observation of participation, reflective discussions, and assessment of participants’ ability to explain and practice the concepts learned. The results indicate improved understanding of money functions, clearer differentiation between needs and wants, increased awareness of saving, and initial practice of recording daily expenses. The program also strengthened the role of the youth health post as a life-skills development platform. Overall, the activity demonstrates that participatory financial education effectively enhances adolescents’ financial awareness and supports the formation of responsible financial behavior.