Sistem Pengolah Musik Sebagai Kontrol Gerak Robot Humanoid
DOI:
https://doi.org/10.12928/biste.v1i2.915Keywords:
Robot Humanoid KRSTI, IC MSGEQ7, Pengolah Musik, Isyarat gerak, FFT (Fast Fourier Transform)Abstract
Pada Kontes Robot Seni Tari Indonesia (KRSTI), mengharuskan peserta untuk dapat membuat robot yang dapat menari secara otomatis dengan diiringi alunan musik. Tujuan penelitian ini adalah membuat robot humanoid yang dapat menari ketika musik pengiring diputar dan berhenti ketika musik berhenti. Penelitian ini menggunakan IC MSGEQ7 sebagai pengolah musik karena IC ini dapat membaca nilai frekuensi musik secara detail sebanyak tujuh frekuensi yaitu frekuensi 63Hz; 16Hz; 400Hz, 1kHz; 2,5kHz; 6,25kHz; dan 16kHz. Ketujuh frekuensi tersebut dijadikan acuan sebagai isyarat robot untuk bergerak atau berhenti. Penentuan frekuensi sebagai isyarat gerak didapat melalui sampling musik Tari Remo menggunakan perangkat lunak Matlab dengan metode FFT (Fast Fourier Transform). Isyarat gerak tersebut dikirimkan ke sistem robot melalui Modul Bluetooth HC-05. Jika sistem robot mendapat isyarat untuk bergerak maka robot akan menggerakkan servo penggerak menjadi gerakan yang serasi. Hasil yang didapat dari pengujian adalah dapat diketahui frekuensi yang sering muncul pada musik tari remo yaitu pada frekuensi 0-4000Hz. Setelah frekuensi diketahui, implementasi pada robot memperoleh hasil robot dapat menari ketika musik diputar dan robot dapat berhenti ketika musik dihentikan.
At the Indonesian Dance Robot Contest (KRSTI), it requires participants to be able to make robots that can dance automatically accompanied by music. The purpose of this study is to create a humanoid robot that can dance when the accompaniment music is playing and stop when the music stops. This study uses IC MSGEQ7 as a music processor because this IC can read music frequency values in detail as many as seven frequencies namely 63Hz frequency; 16Hz; 400Hz, 1kHz; 2.5kHz; 6.25kHz; and 16kHz. The seven frequencies are used as a reference as a robot signal to move or stop. The determination of the frequency as a gesture is obtained through the sampling of Remo Dance music using Matlab software with the FFT (Fast Fourier Transform) method. These motion signals are sent to the robot system via the Bluetooth Module HC-05. If the robot system gets a signal to move, the robot will move the servo drive into a matching movement. The results obtained from testing are the frequency that often appears in Remo dance music, namely the frequency 0-4000Hz. After the frequency is known, the implementation of the robot obtains the results that the robot can dance when the music is playing and the robot can stop when the music is stopped.
References
Dikti. Tema dan Aturan Kontes Robot Seni Tari Indonesia (KRSTI) Tahun 2018. 2018;1–18. Online
Bimantara, TEP, “Perancangan sistem pendeteksi suara dari bluetooth receiver dan audio sound system pada kontes robot seni tari indonesia,” Universitas Brawijaya, 2018. Online
Putra THA, Syauqy D, Maulana R, “Sistem Pendeteksi Tempo Lagu Untuk Kontes Robot Seni Tari Indonesia (KRSTI) Berdasarkan Frekuensi Dengan Algoritma Beat This,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, 2019. Online
Santoso EA, Sagaf U, Efendi M, Rasyid RF, Gunawan TA, “Klastering Suara Laki-Laki dan Perempuan Menggunakan Algoritma K-Means Berdasarkan Hasil Ekstraksi FFT (Fast Fourier Transform),” Jurnal Edukasi Pendidikan Matematika, vol. 6, 2018. Online
Cotta A, Devidas NT, Ekoskar VKN, “Wireless Communication Using HC-05 Bluetooth Module Interfaced With Arduino,” IJSETR, vol. 5, 2016. Online
Zahra R, Thamrin, Jaya P, “Rancang Bangun Robot Humanoid Penari Gending Sriwijaya Menggunakan Modul Easy VR3,” VOTEKNIKA, 2017. Online
Kurniasandi AT, Habiburahman M, Iqbal M, “Rancang Bangun Robot Penari Humanoid Untuk KRSTI 2017,” Politeknik Manufaktur Negri Bangka Belitung, 2017. Online
Sivy R, Girovsky P, “Master-Slave Control of Dynamixel Actuators,” Acta Electrotechnica et Informatica, vol. 14, 2014. DOI: 10.15546/aeei-2014-0018
Rusdiarto, A, “Pengolahan Sinyal Suara Sebagai Pemicu Gerakan Robot Bioloid Cm-530 Menggunakan Arduino,” Universitas Sanata Dharma, 2018. Online
Indrajit W, “Rancang Bangun Sistem Motion Capture dan Database Motion untuk Robot Humanoid dengan Perangkat Microsoft Kinect Berbasis ROS,” Universitas Indonesia, 2012. Online
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Irmawan Maulana
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.