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"ABSTRAKKaitan dan Kesamaan antara Musik dan Masyarakat dalam Filsafat Musik yang Baru: Pemikiran Theodor Wiesengrund Adorno dalam Philosophy of New Music Tesis ini merupakan pembahasan dan penafsiran mengenai pemikiran Adorno terutama dalam Philosophy of New Music. Adorno merupakan filsuf yang menonjol dalam posisinya yang menyatukan musik dan sosial. Selain analisa mengenai isi, melalui konsep mimesis Aristoteles dan Goethe dilakukan analisa untuk memahami kaitan dan kesamaan antara musik dan masyarakat dalam tulisannya tersebut. Pemikiran filsafat musik baru dalam Philosophy of New Music tidak dapat dipahami tanpa melalui pemikiran Adorno sebelumnya yaitu Dialectic of Enlightenment dan sesudahnya yaitu Towards an Informal Music, juga tanpa melalui konteks historis pada modernisme. Kata Kunci:Adorno, musik, masyarakat, sosial, kaitan, kesamaan, filsafat musik baru, mimesis, modern, modernisme, philosophy of new music, dialectic of enlightenment, towards an informal music.

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ABSTRACTCorrelations and Similarities between Music and Society in New Philosophy of Music Theodor Wiesengrund Adorno 39 s Consideration in Philosophy of New Music This thesis is a discussion and interpretation of Adorno rsquo s thought expressed mainly in Philosophy of New Music. Adorno is a prominent philosopher who unified music and social. To enrich the content analysis of Adorno rsquo s Philosophy of New Music, Aristotle rsquo s and Goethe rsquo s concept of mimesis are also utilized alongside critical reading in understanding the correlations and similarities between music and society. Understanding the idea of philosophy of new music in the Philosophy of New Music requires taking into account Adorno rsquo s previous thoughts covered in Dialectic of Enlightenment and later thoughts in Towards an Informal Music, and also the historical context of modernism. Keywords Adorno, music, society, social, correlations, similarities, philosophy of new music, mimesis, modern, modernism, philosophy of new music, dialectic of enlightenment, towards an informal music."

"[Pengalaman estetis akan musik tidak selalu mengenai musik yang indah. Luigi Russolo sebagai seorang komposer Futuris abad ke 19 telah membuktikannya dengan berbagai karya noise music dan manifesto berjudul The Art of Noise. Noise music pada abad Kontemporer tumbuh menjadi aliran musik tersendiri yang banyak menuai polemik mengenai status estetisnya. Metafor di sini kemudian dijadikan wahana mensiasati pengalaman estetis intersubjektif dari noise music tersebut. Mengapa metafor dan pengalaman estetis seperti apa yang dimaksudkan? Analisis konseptual terhadap noise serta refleksi filosofis dari pengalaman estetis itu sendiri yang dilakukan dalam penulisan ini, berusaha membuka pemahaman baru mengenai musik serta estetika secara keseluruhan.;Aesthetic experience of music is not only about beautiful music. LuigiRussolo as a Futurist composer in 19th century has proved it with many pieces ofnoise music and manifesto titled The Art of Noise. In this postmodern era, noisemusic then grows become a polemic genre on its aesthetic status. Here then,metaphor being mode of inter subjective aesthetic experience from that noisemusic. Why metaphor and which aesthetic experience means? The conceptualanalysis to noise with philosophical reflection from that aesthetic experienceitself, due in this writing to try to open a new perception about music alsoaesthetic as a whole., Aesthetic experience of music is not only about beautiful music. LuigiRussolo as a Futurist composer in 19th century has proved it with many pieces ofnoise music and manifesto titled The Art of Noise. In this postmodern era, noisemusic then grows become a polemic genre on its aesthetic status. Here then,metaphor being mode of inter subjective aesthetic experience from that noisemusic. Why metaphor and which aesthetic experience means? The conceptualanalysis to noise with philosophical reflection from that aesthetic experienceitself, due in this writing to try to open a new perception about music alsoaesthetic as a whole.]"

"Popularitas K-pop tidak hanya di negaranya sendiri, namun juga di luar negeri. Beberapa penelitian tentang karakter musik telah dilakukan untuk melihat bagaimana karakter lagu-lagu populer, namun belum ada yang membahas mengenai K-pop. Karakter musik dapat diketahui dengan menggunakan pendekatan music mining, seperti dengan Random Forest yang dianggap sebagai metode klasifikasi paling akurat dibandingkan dengan metode lainnya. Oleh karena itu, penelitian ini bertujuan untuk menemukan karakter lagu-lagu K-pop populer dengan memanfaatkan hasil ekstraksi fitur audio dan ekstraksi lirik lagu sebagai input untuk membangun model klasifikasi Random Forest. Lagu-lagu K-pop yang dikumpulkan sebanyak 195 lagu dari daftar putar “K-Pop ON! (온)” dibagi menjadi 117 data untuk training dan 68 data untuk testing. Fitur audio yang diekstraksi dalam penelitian ini terdiri dari danceability, energy, loudness, mode, acoustic, instrumental, liveness, dan valence. Selain itu, lirik diekstraksi dan dikelompokkan menjadi 8 kelompok topik yang juga dijadikan sebagai input model. Model yang dihasilkan menunjukkan bahwa karakter lagu-lagu K-pop populer cenderung membawakan perasaan bahagia dan energi yang tinggi, cocok untuk digunakan menari, serta membahas mengenai interaksi antar individu atau tindakan seseorang. Evaluasi model menunjukkan akurasi model yang cukup baik dengan nilai accuracy sebesar 61,53% dan ketepatan model yang cukup baik dengan nilai precision 63,82%, serta sensitivitas model yang cukup baik dengan nilai recall 69,76%. Fitur yang paling banyak berkontribusi dalam model adalah valence, sedangkan fitur yang paling sedikit berkontribusi adalah topic 3.

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The popularity of K-pop is not only happening in its own country, but also abroad. Some research on music character has been done to see how the character of popular songs is, but no one has studied K-pop’s character. Music character can be known by using music mining approaches, such as Random Forest which is considered the most accurate classification method compared to other methods. Therefore, this research aims to find the character of popular K-pop songs by utilizing the results of audio feature extraction and song lyrics extraction as input to build a Random Forest classification model. The 195 K-pop songs collected from the “K-Pop ON! (온)” playlist are divided, where 117 data for training and 68 data for testing. The audio features extracted in this study consist of danceability, energy, loudness, mode, acoustic, instrumental, liveness, and valence. In addition, the lyrics are extracted and clustered into 8 topic groups which were also used as model input. The resulting model shows that the characters of popular K-pop songs tend to bring feelings of happiness and high energy, are suitable for dancing, and describe the interaction between individuals or actions of a person. The model’s evaluation shows that the model’s accuracy is quite good with an accuracy value of 61.53%, the model’s precision is quite good with a precision value of 63.82%, and the model’s sensitivity is quite good with a recall value of 69.76%. The most contributing feature in the model is valence, while the least contributing feature is topic 3."