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All Journal Journal of Information Technology and Computer Science
Widjanarko, Alexander
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Designing and Evaluating the User Interface of a Socratic Dialogue Chatbot to Enhance Student Engagement in Online Learning Platforms Widjanarko, Alexander; Haq, Isri Amirul; Mubarok, Berlian Davis Dwi; Purnawirawan, Okta
Journal of Information Technology and Computer Science Vol. 11 No. 1: April 2026
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.111886

Abstract

History education in Phase F is often perceived as monotonous and dominated by rote memorization, with 92.9% of students feeling burdened and 89.3% feeling bored. Standard generative AI tools may worsen this issue by functioning as instant answering machines, fostering cognitive dependency. This study aims to describe the User Interface (UI) and User Experience (UX) design process of “Kak Sarah,” a Learning Management System (LMS) platform featuring a chatbot designed to act as a Socratic facilitator through historical role-play, and to evaluate its usability and impact on student engagement. The UI/UX development employed the Successive Approximation Model (SAM) integrated with the Design Thinking approach, consisting of empathize, define, ideate, prototype, and test stages. The platform’s usability was evaluated using the System Usability Scale (SUS) with 136 respondents, while its impact on engagement was tested on 312 Grade XI students across five high schools. Results indicate that the UI design successfully translated four narrative learning stages into an interactive interface. The usability evaluation produced a SUS score of 86.09 (Excellent / Grade A). Observation data and conversation logs showed that all students engaged in reflective thinking rather than accepting direct answers, supported by a 35.03-point increase in critical thinking scores (p = 0.005). These findings suggest that integrating SAM and Design Thinking can produce an effective Socratic chatbot interface that enhances student engagement in history learning.
Deep Learning-Based Edge Proctor System: A Resource-Efficient Multi-Modal Exam Monitoring Solution for Indonesian Schools Junaidi, Vicent Imanuel; Braniva, Petra Kanisia; Widjanarko, Alexander; Purnawirawan, Okta
Journal of Information Technology and Computer Science Vol. 11 No. 2: August 2026
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2026112898

Abstract

Academic dishonesty in computer-based exams reaches 67.5% in Indonesia, threatening educational evaluation validity and undermining academic certificate credibility. This research develops the Edge Proctor System, a deep learning-based digital proctoring system integrating three detection modalities: object detection for identifying prohibited items, one-shot learning for identity verification, and audio recognition for detecting suspicious whispering. The research methodology employs systematic literature review and benchmark testing to compare YOLOv8n and COCO SSD performance. Data collection was conducted through interviews with the Head of Computer and Network Engineering Department and field testing with the Principal of SMK Kristen Petra Surabaya. Performance analysis utilizes inference time, FPS, and CPU usage metrics on edge computing architecture. Results demonstrate that COCO SSD achieves 79.05 ms inference time (10.9× faster than YOLOv8n), 9.09 FPS, and 78.43% CPU usage, 37-48% more efficient than previous studies. Stakeholder testing shows the system effectively enhances exam integrity with intuitive monitoring and resource-efficiency, suitable for massive implementation in Indonesian schools with limited technological infrastructure.
Development of the "Pulih" User Interface: A Smartwatch-Integrated Digital Counseling Application for Survivors of Post-Traumatic Stress Disorder due to Violence and Sexual Abuse Nur, Ahmad Zulfi’Azwan; Purnama, Primada; Widjanarko, Alexander; Iskandar, Firza Aurellia; Purnawirawan, Okta
Journal of Information Technology and Computer Science Vol. 11 No. 2: August 2026
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2026112899

Abstract

The high prevalence of mental health disorders resulting from trauma caused by violence and sexual abuse has not been matched by adequate access to recovery services due to psychological barriers in the form of social stigma. This situation motivated the design of the “Pulih” interface, a smartwatch-based mental health support application developed using Research and Development (R&D) methods with a Design Thinking approach. This application integrates a Bidirectional Long Short-Term Memory (Bi-LSTM) deep learning architecture to analyze users’ Heart Rate Variability (HRV) and Resting Heart Rate (RHR) biometric data in real-time. AI testing results on the WESAD physiological dataset showed stable learning curve convergence without overfitting, achieving a training accuracy of 92.0%, validation accuracy of 90.5%, precision of 90.0%, recall of 91.0%, and an F1-Score of 90.5%. Meanwhile, an evaluation of the interface’s usability via the System Usability Scale (SUS) test with 27 respondents yielded an average score of 86.79 (falling into the ‘Excellent’ and ‘Acceptable’ categories with an A+ grade). The encrypted anonymous community feature further strengthens privacy aspects. In conclusion, Pulih has proven to possess trauma-sensitive technical reliability as well as high usability as an inclusive digital solution for the mental recovery of PTSD survivors.
Co-Authors Ahmad Zulfi'Azwan Nur Braniva, Petra Kanisia Haq, Isri Amirul Iskandar, Firza Aurellia Junaidi, Vicent Imanuel Mubarok, Berlian Davis Dwi Purnama, Primada Purnawirawan, Okta