Identifikasi Genre Musik dengan Menggunakan Metode Random Forest

Sarofi, Muhammad Abid As; Irhamah, Irhamah; Mukarromah, Adatul

doi:10.12962/j23373520.v9i1.51311

Cited by 8 publications

(10 citation statements)

References 6 publications

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“…Using a voting system (highest count) to combine independent classifiers (CARTs) from the same distribution random forest produces classification forecasts. Reduced correlation can lower the outcome of random forest prediction errors, a characteristic of random forest (As Sarofi, Irhamah, & Mukarromah, 2020). Random Forest Formula (Leonardo, Pratama, & Chrisnatalis, 2020):…”

Section: A Machine Learningmentioning

confidence: 99%

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox

Agustyaningrum,

Dahlia,

Pahlevi

2023

J. Ris. Inform.

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Smallpox syndrome, or monkeypox, is an uncommon zoonotic viral infection brought on by the monkeypox virus, which belongs to the genus Orthopoxvirus and family Poxviridae. Injury-related mortality in primates ranges from 1 to 10%. Data mining is a method for analyzing data. Deep neural networks and traditional machine learning methods are used in data analysis. The Python programming language is used during the comparison procedure of this research algorithm to generate values for accuracy, f1 score, precision, recall, ROC, and AUC. The test results demonstrate that using sigmoid activation function parameters, the deep neural network algorithm's accuracy is 70.08%, F1 score is 79.18%, precision is 68.59%, recall is 62.65%, and AUC is 62.65%. Compared to conventional machine learning algorithms, the adagrad optimizer has a higher value with a learning rate of 0.01 and 0.2 dropouts. The conventional machine learning model algorithm has the best xgboost, F1 score, precision, recall, and AUC scores compared to other approaches: 64.40%, 64.45%, and 78.14%. According to these numbers, the average fairness disparity between deep neural network algorithms and traditional machine learning is 5.68%, F1 score is 13.79%, precision is 4.14%, recall is 1.75%, and AUC is 1.75%.

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Section: A Machine Learningmentioning

confidence: 99%

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox

Agustyaningrum,

Dahlia,

Pahlevi

2023

J. Ris. Inform.

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“…Musik dapat diorganisir berdasarkan artis, album, atau genre/subgenre. Genre/Subgenre merupakan cara organisasi musik yang paling umum [3], hal ini disebabkan mudahnya pendengar mencari musik dengan gaya yang sama atau sejenis untuk didengarkan sesuai deng an pref erensi masing-masing.…”

Section: Pendahuluanunclassified

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Ari Putra,

Rahning Putri

2023

JLK

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Pop Punkmerupakan salah satu subgenre dari musik punk yang menggabungkan elemen-elemen dari musik pop dengan musik punk. Musik pop punk identik dengan tangga nada yang disadur atau turunan dari musik pop, namun untuk tempo dan gaya bermain mengikuti mus ik punk yang identik dengan tempo cepat dan suara gitar yang ramai. Pop punk telah mengalami naik turun popularitas seiring dengan berjalannya waktu, namun musik pop punk selalu dapat berkembang dari waktu ke waktu sehingga musik ini dapat diklasifikasikan dalam dua era secara garis besar yaitu oldschool dan modern berdasarkan gaya permainannya. Penelitian ini membahas klasifikasi musik pop punk berdasarkan kedua era tersebut (oldschool dan modern) dengan metode K -Nearest Neighbor menggunakan 5 fitur musik (danceability, energy, key, speechiness, dan valence). Fitur musik tersebut dipilih karena key dan speechiness dapat melambangkan perbedaan tangga nada dan gaya vokal yang digunakan pada kedua gaya musik tersebut, serta danceability, energy, dan valence dapat melambangkan suasana dari musik. Nilai akurasi klasifikasi yang dihasilkan penelitian ini adalah 76%.

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“…Music can be divided based on music genres. Sarofi et al, (2020) argued that music is divided into several genres. In the Indonesian Dictionary (KBBI), stated that genre is defined as a grouping of music based on the similarities on the type of music or musical literature and on the basis of its form.…”

Section: Introductionmentioning

confidence: 99%

The Role Of Music In The Life Of Teenagers

Husna

Rinjani

2022

jsm

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Music is the expression of ideas, thoughts and feelings of the creator through the arrangement of tones or sounds to produce sound compositions in the form of songs. The purpose of this study was to determine the perception of adolescents on the role of music. The method/approach used in this study is a survey method using a questionnaire to 63 Indonesian teenagers with an age range of 10-24 years. The results showed that 45.3% of teenagers chose the pop genre as their favorite music genre to listen to and the majority of teenagers thought that pop genre music had a role as friends with activities with a percentage of 26.9%. Then 50% of teenagers' moods can be influenced by music. In conclusion, music has a very broad role in the lives of teenagers.

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Identifikasi Genre Musik dengan Menggunakan Metode Random Forest

Cited by 8 publications

References 6 publications

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox

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The Role Of Music In The Life Of Teenagers

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