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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal Corner of Education, Linguistics, and Literature Jurnal Teknik Industri Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Lentera Pengabdian Jurnal Pelita Pengabdian Jurnal Pengabdian Nasional (JPN) Indonesia
Rahardjo, Sugeng Budi
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Optimalisasi ChatGPT sebagai Asisten Digital untuk Membantu Siswa Madrasah Ibtidaiyah Al Khoiriyah dalam Menyelesaikan Tugas dan Meningkatkan Pemahaman Materi Nawangsih, Ismasari; Majid, Annisa Maulana; Maulana, Donny; Purnamasari, Pupung; Rahardjo, Sugeng Budi
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jpni.v6i2.1361

Abstract

Community service aims to optimize the use of ChatGPT as a digital assistant in helping Madrasah Ibtidaiyah (MI) Al Khoiriyah students complete assignments and improve understanding of subject matter. ChatGPT, as a form of artificial intelligence technology, has the potential to provide interactive and responsive assistance in learning, which can be tailored to student needs. Through a technology-based approach, ChatGPT is expected to be able to provide clear explanations, help solve questions, and provide constructive feedback for students. This research uses qualitative methods with direct observation and interviews with teachers and students of MI Al Khoiriyah. The research results show that using ChatGPT can increase effectiveness in the learning process, especially in terms of understanding material and completing assignments. Thus, ChatGPT has the potential to be an effective tool in supporting education at the elementary level, especially for Madrasah Ibtidaiyah students.
Design and Development of an IoT-Based Instructional Teaching Aid to Support Embedded Systems Learning Rahardjo, Sugeng Budi; Ambarwati, Intan; Hisniati, Sally Badriya
Journal Corner of Education, Linguistics, and Literature Vol. 5 No. 3 (2026): February
Publisher : CV. Tripe Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54012/jcell.v5i3.674

Abstract

Embedded systems education requires hands-on learning tools that enable students to understand real-time data acquisition, sensor integration, and network-based control. However, laboratory limitations and the lack of contextual teaching media often hinder effective learning. This study aims to design and develop an Internet of Things (IoT)-based teaching aid to support embedded systems learning using a real-world case study of water quality monitoring in tilapia aquaculture. The teaching aid integrates pH, temperature, turbidity, and Total Dissolved Solids (TDS) sensors with an ESP32 microcontroller and a cloud-based IoT platform (Blynk) to enable real-time monitoring and notification features. A research and development approach using a prototyping method was employed. Functional testing and classroom-based trials indicate that the teaching aid operates reliably, provides real-time feedback, and enhances students’ understanding of embedded system concepts, including sensor calibration, data processing, and IoT communication. The results suggest that IoT-based teaching aids grounded in real-world applications can significantly improve experiential learning in embedded systems education.
Co-Authors Abdul Halim Anshor Afiyah, Neni Nur Agus Suwarno, Agus Aguswin, Ahmad Akromusyuhada, Akhmad Ambarwati, Intan Andriani Andriani Febrinasari, Tantry Hisniati, Sally Badriya Listyanto, Rudy Effendi Majid, Annisa Maulana Maulana, Donny Nawangsih, Ismasari Pupung Purnamasari Rudi Mulyadi, Rudi Sasongko, Ananto Tri Siti Rahayu Widya, Adi Rusdi Windi Windi, Windi Windyatri, Hasyrani Wiyanto Wiyatno, Tringudi