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All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Sidauruk, Dominggo Pratama
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Computer Science & IT

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Rancangan Machine Learning Untuk Mendeteksi Lagu Plagiat Sidauruk, Dominggo Pratama; Anom Cahyadi Putra, I Gusti Ngurah
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p13

Abstract

Plagiarism in the music industry is a serious issue that requires advanced solutions. This research proposes a Machine Learning-based system for detecting song plagiarism by combining Convolutional Neural Network (CNN) and Dynamic Time Warping (DTW). CNN is used to extract features from the visual representation of music notations, while DTW measures the temporal distance between two sequences of notations. Experimental results show that this system provides a more accurate solution with an accuracy of 92.71%, with a dataset of 4800 data points. Keywords: Music plagiarism, Convolutional Neural Network (CNN), Dynamic Time Warping (DTW), plagiarism detection, music notation, machine learning
Co-Authors I Gusti Ngurah Anom Cahyadi Putra