skip to main content

Pengenalan dan Analisis Ucapan pada Sistem Kontrol Perangkat Listrik Menggunakan Arduino Uno

Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno

Departement of Computer Engineering, Universitas Diponegoro, Indonesia

Received: 4 Oct 2017; Published: 31 Jan 2018.
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech processing device and several output devices such as relays, LEDs and an LCD. This research resulted in 92,7% accuracy of speech recognition at the ideal condition and 66,85% at the noise condition. This study shows that the frequency, amplitude, slow tempo and timbre of command speech greatly affect the success of speech recognition.

Keywords: Control; Arduino UNO; Device Control; Speech Recognition; Voice Recognition Module; Microcontroller

Article Metrics:

  1. J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, Fundamentals of Speech Recognition. Pearson Education, India, 2016
  2. H. F. Imron, R. R. Isnanto, and E. D. Widianto, "Perancangan Sistem Kendali pada Alat Listrik Rumah Tangga Menggunakan Media Pesan Singkat (SMS)," Jurnal Teknologi dan Sistem Komputer, vol. 4, no. 3, pp. 454-462, Agustus 2016
  3. I. Aditia, O. D. Nurhayati, and E. D. Widianto, "Aplikasi Android Pengendali Pintu Otomatis Melalui Media SMS," Jurnal Teknologi dan Sistem Komputer, vol. 3, no. 2, pp. 267-274, Apr. 2015
  4. K. A. Pamungkas, T. Novianti, and A. Aziz, "Aplikasi Android dan Mikrokontroller Arduino pada Kontrol Smarthome dengan Komunikasi Bluetooth," Network Engineering Research Operation (NERO), vol. 2, no. 3, 2016
  5. A. K. Dewi, M. S. Hadi, and S. Anwar, "Sistem Atap Rumah Otomatis pada Smarthome dengan Menggunakan Arduino," Jurnal Teknologi dan Sistem Komputer, vol. 5, no. 1, pp. 43-48, Januari 2017
  6. F. D. Nugraheni, I. D. Irawati, and Y. S Hariyani, "Implementasi Wireless Sensor Network untuk Aplikasi Lampu dan Kipas," eProceeding of Applied Science, vol. 2, no. 3, 2016
  7. A. Alamsyah, A. Amir, and M. N. Faisal, "Perancangan dan Penerapan Sistem Kontrol Peralatan Elektronik Jarak Jauh Berbasis Web," Jurnal Mekanikal, vol. 6, no. 2, pp. 577-584, Juli 2015
  8. A. P. Rantelino, R. R. Isnanto, and E. D. Widianto, "Sistem Pembukaan Kunci Otomatis Menggunakan Identifikasi Pola Ketukan," Jurnal Teknologi dan Sistem Komputer, vol. 2, no. 4, pp. 281–287, November 2014
  9. N. A. A. Malek, "Smart Wireless-voice Command Electrical Lamp Controlling System", Skripsi, Universiti Teknikal Malaysia Melaka, 2015
  10. F. T. Patiung, and A. S. M. Lumenta, “Rancang Bangun Robot Beroda dengan Pengendali Suara,” Jurnal Teknik Elektro dan Komputer, vol. 2, no. 4, pp. 48–52, 2013
  11. A. A. Zahra, A. Hidayatno, and M. W. T. Saksono, "Aplikasi Pengenalan Ucapan Sebagai Pengatur Mobil Dengan Pengendali Jarak Jauh," Transmisi, vol. 10, no. 1, pp. 21–26, 2008
  12. E. Ronando, and M. I. Irawan, “Pengenalan Ucapan Kata sebagai Pengendali Metode Linear Predictive Coding – Neuro Fuzzy,” Jurnal Sains dan Seni, vol. 1, no. 1, pp. A1-A6, 2012
  13. S. Amalia, "Pengenalan Digit 0 sampai 9 Menggunakan Ekstraksi Ciri MFCC dan Jaringan Syaraf Tiruan Backpropagation," Jurnal Teknik Elektro-ITP, vol. 6, no. 1, pp. 1-8, 2017
  14. “Arduino Uno,” 2016. [Online]. Available: https://www.arduino.cc/en/Main/ArduinoBoardUno. [Accessed: 12-Jul-2017]
  15. Elechouse, “Voice Recognition Module V3,” Elechouse. Elechouse, 2014
  16. “Plot Spectrum,” 2017. [Online]. Available: http://manual.audacityteam.org/man/plot_spectrum.html. [Accessed: 20-Dec-2017]

Last update:

No citation recorded.

Last update: 2024-12-04 09:44:04

No citation recorded.