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September 10, 2025Journal of Applied Informatics and ComputingOpen Access

Implementation of the Hybrid K-Nearest Neighbour Algorithm for Dangdut Music Sub-Genre Classification

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Authors

TFTria Hikmah FratiwiIHI Gede HarsemadiPDPutu Tjintia Kencana Dewi

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Overview

This research demonstrates hybrid K-NN’s superior accuracy in classifying dangdut music sub-genres, indicating its potential in music classification tasks.

Key Points

  • Hybrid K-NN achieved the highest accuracy of 74.31%, outperforming conventional methods.
  • The dataset included 483 music segments, distinctly labeled for accurate classification.
  • GA optimized K-NN parameters, utilizing a 5-fold cross-validation approach for validation.
  • Confusion matrix analysis revealed challenges with frequent misclassification of class 2 as class 1.

Cite This Study

Fratiwi et al. (2025) studied this question.

synapsesocial.com/papers/68c182529b7b07f3a060eefdhttps://doi.org/10.30871/jaic.v9i4.9702
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