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Counseling on making learning videos with mobile phones to Indonesian educators Ratnadewi, Ratnadewi; Sartika, Erwani Merry; Wahono, Sri; Amadeus, Clarence
Community Empowerment Vol 6 No 7 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.848 KB) | DOI: 10.31603/ce.4935

Abstract

Education sector in Indonesia was shocked by the total change from the previously offline-based education system to online, due to the state of the Covid-19 pandemic. No country wants to experience this pandemic, but the rapid spread has changed all sectors of life, especially the education in Indonesia. Educators are required to continue to carry out online learning activities, but not all educators can create learning video content. Moving on from this problem, an online quick education was made to make learning videos using mobile phones, which was organized by Maranatha Christian University in collaboration with Guru Mengajar untuk Nusantara and STKIP PGRI Trenggalek. The material given was flyer design techniques, photo taking techniques, and making videos with Kinemaster. The postermywall and kinemaster applications used can be downloaded on the playstore on android. The activity was open to teachers and lecturers for free and guided for one month. Participants who registered were 1059 people from various district in Indonesia and were guided by 39 instructors. At the end of the activity, 510 participants (48.16%) passed with the criteria of being able to make learning videos until they were uploaded to YouTube.
Pengembangan Smart Personal Assistant Berbasis Pengenalan Suara Untuk Smart Classroom Amadeus, Clarence; Ghandy, G; Lareno, Bambang; Edward, E; Chandra, Elbert
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.912

Abstract

This study presents the development of a voice-enabled smart personal assistant to support instructional activities within smart classroom environments. Distinct from prior research that has primarily focused on desktop-based or mobile implementations, this work integrates the Whisper speech-to-text model into a client-server architecture, utilizing the Jetson Nano as a low-power computing node. The system is designed to facilitate hands-free interaction and adaptive control of classroom operations. Functional evaluations demonstrate a command recognition accuracy of 95%, an average inference time of 3.5 seconds, and an effective operational range of up to 3 meters. These results highlight the feasibility of deploying lightweight, voice-driven AI solutions that uniquely address limitations in low-resource educational environments..