Simulator Gitar Berbasis Realtime Recording

Brilyan, Ragil Bintang (2021) Simulator Gitar Berbasis Realtime Recording. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Musik merupakan sebuah seni gabungan antara beberapa komposisi alat musik. Diantaranya adalah vokal, piano, gitar, bass, drum, dan sebagainya. Untuk memainkan sebuah alat musik juga dibutuhkan sebuah teknik hingga formula, supaya dalam permainan musik menjadi lebih harmoni. Teknik dan formula dalam permainan alat musik meliputi tempo, ritme, cara memainkan alat musik, hingga akord. Namun bagi orang yang baru belajar memainkan alat musik tentulah sulit untuk mengetahui rumus akord yang akan dimainkan. Belum lagi saat suara akord yang dimainkan berbeda dengan suara akord yang ditujukan. Hal tersebut dapat mengubah sebuah lagu yang dimainkan terdengar menjadi fals atau menyimpang dari lagu sesungguhnya. Sering kali dalam pembelajaran permainan alat musik beberapa media tidak menjelaskan atau memaparkan bagaimana bentuk akord yang dimainkan dan apakah akord yang dimainkan sudah tepat. Salah satu cara untuk menentukan ketepatan suara akord dalam permainan musik secara otodidak, dapat dilakukan menggunakan bantuan Machine Learning. Metode ini merekam suara akord gitar yang dimainkan dan mengklasifikasikan akord gitar sesuai dengan suara aslinya. Namun akord yang dapat diklasifikasikan masih terbatas pada akord dasar, karena ditujukan untuk pembelajaran paling dasar. Dan untuk tampilan rumus akord yang dimainkan akan lebih interaktif apabila menggunakan desain game.
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Music is an art that combines several compositions of musical instruments. Among them are vocals, piano, guitar, bass, drums, and so on. To play a musical instrument also requires a technique to a formula, so that the music game becomes more harmonious. Techniques and formulas in playing musical instruments include tempo, rhythm, how to play a musical instrument, to chords. But for people who are just learning to play a musical instrument, it is certainly difficult to know the formula for the chords to be played. Not to mention when the sound of the chord being played is different from the sound of the intended chord. This can change a song being played sound fake or deviate from the actual song. Often in learning to play musical instruments, some media do not explain or explain how the chords are played and whether the chords are played correctly. One way to determine the accuracy of the chord sound in a self-taught music game, can be done using the help of Machine Learning. This method records the sound of guitar chords being played and classifies guitar chords according to their original sound. However chords that can be classified are still limited to basic chords, because they are intended for the most basic learning. And for the display of the chord formula that is played it will be more interactive when using game design.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediksi Akord, Gitar, Game, Machine Learning, Chord Prediction, Guitar, Game, Machine Learning.
Subjects:	L Education > LB Theory and practice of education > LB1029.S53 Educational games. Simulation methods T Technology > T Technology (General) > T57.8 Nonlinear programming. Support vector machine. Wavelets. Hidden Markov models.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Ragil Bintang Brilyan
Date Deposited:	02 Sep 2021 09:02
Last Modified:	02 Sep 2021 09:02
URI:	http://repository.its.ac.id/id/eprint/91100

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