Jurnal Teknologi Sistem Informasi dan Aplikasi
Vol 4, No 2 (2021): Jurnal Teknologi Sistem Informasi dan Aplikasi

Pengembangan Aplikasi Identifikasi Lagu Berbasis Kognitif Menggunakan Model Prototype

Asep Subarkah (Universitas Pamulang)
Agung Rizal Suryo Laksono (Universitas Pamulang)
Syahrulloh Syahrulloh (Universitas Pamulang)
Sunariyo Sunariyo (Universitas Pamulang)
Yulianti Yulianti (Universitas Pamulang)



Article Info

Publish Date
30 Apr 2021

Abstract

Now with the application of Snap videos or short videos, both those obtained from social media such as Instagram, Twitter, and Facebook, there are many pieces of audio and video files of short duration which contain songs that have meaning. When we are interested in knowing a song, we have a hard time finding out the title of the song or the source. We designed an application to identify cognitive-based songs using a prototype method to overcome these problems. The method we use is a prototype model, this method is a paradigm in software creation and development, we chose this method because the process is relatively faster because it uses mock ups in its application. From the test results, the song identification application that we made is very effective for identifying the types of songs with slow genres such as jazz, blues, and acoustic but less effective for hard rock and RnB songs.

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Journal Info

Abbrev

JTSI

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Teknologi Sistem Informasi dan Aplikasi merupakan media publikasi karya ilmiah di bidang teknologi dan sistem informasi yang dapat berupa analisa, pengembangan, dan aplikasinya, tetapi tidak terbatas pada ...