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QIRABOX: Kontrol Speaker Murottal Al-Qur’an dengan Perintah Suara Berbasis Internet of Things Rimadana, Heny
MULTINETICS Vol. 11 No. 1 (2025): MULTINETICS Mei (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i1.7553

Abstract

This study aims to design and implement a Quranic murottal speaker control system based on the Internet of Things (IoT), operated through voice commands, with a focus on the needs of visually impaired individuals. The system integrates speech recognition technology with the Aho-Corasick algorithm for command pattern matching and utilizes the MQTT protocol and ESP32 microcontroller as the main control unit. An Android application called "QIRABOX" was developed as the user interface, leveraging Google Speech Recognition to convert voice commands into text. Evaluation involving 10 visually impaired respondents showed an error rate of only 2% and a System Usability Scale (SUS) score of 78.75, classified as "Good." These results indicate that a voice-controlled system can be an effective solution in the development of assistive technology to improve accessibility for people with visual disabilities.
QIRABOX: Quran Murottal Speaker with Speech Recognition Based on Internet of Things Rimadana, Heny
Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 13, No 1: April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/j3eit.v13i1.88877

Abstract

This research aims to design and implement an IoT-based speaker control system for Quran Murottal using voice commands, specifically targeting visually impaired individuals. The system utilizes speech recognition technology to overcome the challenges that visually impaired users face when controlling devices through buttons or remotes. The Android application "Qirabox" integrates Google Speech Recognition to convert voice commands into text, which is then processed by the Aho-Corasick algorithm for pattern matching. The system uses the MQTT protocol for IoT communication, with an ESP32 microcontroller and an IR Transmitter to send infrared signals to control the speaker. The system was evaluated through 50 trials with 10 visually impaired participants at PERTUNI Malang, resulting in a low error rate of 2%. Furthermore, the System Usability Scale (SUS) evaluation provided a score of 78.75 (Good), indicating the system"™s usability and effectiveness in meeting user needs. This research demonstrates the potential of voice-controlled speaker systems and contributes to the development of assistive technology for visually impaired individuals, offering a significant improvement in accessibility and ease of use.