SIMULASI DAN ANALISIS KLASIFIKASI GENRE MUSIK BERBASIS ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM)

PRATAMA, ANUGRAH HERDA (2018) SIMULASI DAN ANALISIS KLASIFIKASI GENRE MUSIK BERBASIS ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM). Bachelor thesis, UNIVERSITAS MUHAMMADIYAH PURWOKERTO.

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Abstract

Music comes in many different genres and styles according to it’s content, which is easy for a human listener to distinguish but hard for machine to do. This limitation encourage the creation of a system that can helps machine to classify music genre better. In this graduation paper will be created a system that can classify music genre on Classic, Jazz, Pop, and rock using frequency analysis as feature extraction and ANFIS as classification method. Result of design are 2 types of ANFIS model which is Model A and Model B. The most accurate model is Model A with average accuracy of 53,33% across all genre. The best model for single genre classification is Model B with 80% accuracy for Classic genre

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