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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Resa Pramudita
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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RANCANG BANGUN TRAINER TERINTEGRASI RANGKAIAN PENYEARAH GELOMBANG DAN PENGUAT OP-AMP BERBASIS MIKROKONTROLER ATMEGA 32 Resa Pramudita; Ase Suryana
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 6 No. 1 (2019)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.758 KB) | DOI: 10.33197/jitter.vol6.iss1.2019.327

Abstract

Half-wave rectifier, full-wave rectifier, inverting op-amp amplifier, and non-inverting op-amp amplifier are basic electronic practicum material in each Electrical Engineering Department. During this practicum is carried out by arranging the circuit manually using breaadboard, so it requires a long time and is inefficient. In this study a trainer with integrated modules was designed. The module consists of a wave rectifier module, transistor amplifier module, op-amp amplifier module, and logic gate. This trainer is designed based on the ATmega 32 microcontroller which functions to select modules, display module workmanship, and basic logic gate programs. The method used in this research is experiment and simulation. From the test results, the half-wave rectifier and full-wave rectifier modules respond according to the simulation of ideal conditions. While the results of testing the inverting amplifier and non-inverting amplifier, show both modules can function in accordance with theory and simulation. So it can be concluded that this trainer can be used for practical learning.
Student Behavior Detection Using YOLOv10 for Classroom Engagement Analysis Resa Pramudita; Mochamad Rizal Fauzan; Ilyasa Nafan Faza; Jaja Kustija; Ibnu Hartopo; Muhammad Adli Rizqulloh
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 2: Mei 2026 (dalam proses)
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i2.24611

Abstract

Student engagement is a critical determinant of learning effectiveness, yet manual observation in classroom environments remains labor-intensive, subjective, and difficult to scale. This study examined a student behavior detection framework built on You Only Look Once (YOLO) version 10 or YOLOv10, the latest generation of real-time object detection models. A dataset of 2,600 annotated classroom images covering eight behavioral categories was collected under diverse conditions, including variations in lighting, camera perspectives, and occlusion. Five YOLOv10 variants (n, s, m, l, x) were trained and evaluated using precision, recall, F1 score, and mean average precision (mAP). The best-performing configuration achieved an overall mAP@0.5 of 0.821 and mAP@0.5:0.95 of 0.640, with strong performance on upright (AP = 0.967), bow head (AP = 0.958), and sleep (AP = 0.943), while more subtle behaviors such as writing (AP = 0.519) and hand-raising (AP = 0.650) proved challenging. Importantly, the system maintained real-time inference speeds ranging from 40 to 88 FPS depending on the YOLOv10 variant, when evaluated on an RTX 2060 GPU, thereby demonstrating its robustness for deployment in classroom settings. To ensure usability, the optimized YOLOv10 model was integrated into a Streamlit-based interactive dashboard, enabling educators to monitor engagement levels and respond with timely interventions. By combining state-of-the-art YOLOv10 architecture with real-time behavioral analytics, this work establishes a scalable foundation for intelligent classroom monitoring and contributes to advancing technology-enhanced education.
Co-Authors Ase Suryana Ibnu Hartopo Ilyasa Nafan Faza Jaja Kustija Mochamad Rizal Fauzan Muhammad Adli Rizqulloh