Ma'rup, Muhamad Nurul (2023) Algoritma Random Forest untuk klasifikasi ambitus pada Paduan Suara. Sarjana thesis, UIN Sunan Gunung Djati Bandung.
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Abstract
Human voices can achieve a certain number of notes, referred to as ambitus, or the range of notes used to compose a chorus, which corresponds to the range of frequencies that musical instruments or human vocals can produce. Today's technology allows us to apply similar concepts to sound analysis. Generally, signal processing algorithms are frequently employed to classify ambitus using audio. One of the utilized methods is the Random Forest algorithm. This study aims to develop a sound classification system utilizing the Random Forest algorithm to identify ambitus and assess the accuracy of the classification. The study achieved an accuracy of approximately 96.08% when using a training data and data testing ratio of 7:3. When altering the ratio to 8:2, the accuracy increased to around 96.27%, and with a ratio of 6:4, the accuracy reached approximately 96.31%. This study demonstrates that a sound classification system based on the Random Forest algorithm can effectively identify ambitus with a high degree of accuracy, making a significant contribution to sound analysis across various applications, including music and audio engineering.
Item Type: | Thesis (Sarjana) |
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Uncontrolled Keywords: | Classification; Ambitus; Random Forest; Choir |
Subjects: | Data Processing, Computer Science Data Processing, Computer Science > General Publications |
Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
Depositing User: | Muhamad Nurul Ma'rup |
Date Deposited: | 08 Sep 2023 01:25 |
Last Modified: | 08 Sep 2023 01:25 |
URI: | https://digilib.uinsgd.ac.id/id/eprint/75765 |
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