Pendekatan Swara Dalam Mengukur Popularitas Platform Streaming Musik Melaui Social Network Analysis Berbasis Percakapan Twitter

Resa Arjuanda(1*), Setyawan Wibisono(2),

(1) Universitas Stikubank, Indonesia
(2) Universitas Stikubank, Indonesia
(*) Corresponding Author

Abstract


In the digital era, the popularity of music streaming platforms is important in everyday life. To understand the popularity of music streaming platforms, Twitter social network analysis was used with the SWARA approach. The SWARA method provides values for important criteria in decision making. This approach helps understand user perceptions of the platform and strengthen marketing strategies. The WASPAS method is used to solve decision making problems by combining the Weighted Sum Model and the Weighted Product Model. The main music streaming platforms analyzed are Spotify, YouTube Music, Joox, Apple Music, Langit Music, and Music Bagus. Data is collected from Twitter conversations to identify conversation trends and user sentiment. Social network analysis was carried out to map relationships between individuals in the Twitter community. Centrality metrics are used to identify key actors in the network. Thus, this research provides insight into the dynamics of the popularity of music streaming platforms and their influence on Twitter users and provides a basis for more effective marketing strategies in the music industry.

Full Text:

PDF

References


D. Noviani, R. Pratiwi, S. Silvianadewi, M. Benny Alexandri, And M. Aulia Hakim, “Pengaruh Streaming Musik Terhadap Industri Musik Di Indonesia,” J. Bisnis Strateg., Vol. 29, No. 1, Pp. 14–25, 2020, Doi: 10.14710/Jbs.29.1.14-25.

R. Taufik, M. Muhaqiqin, R. Sholehurrohman, And I. S. Ilman, “Analisis Jaringan Pengguna Platform Musik Dalam Membentuk Tren Musik,” J. Pepadun, Vol. 3, No. 2, Pp. 296–305, 2022, Doi: 10.23960/Pepadun.V3i2.125.

A. H. L. Ans, E. K. Devi, F. I. Masdita, And M. A. Ardiansyah, “Disfemisme Pada Unggahan Akun Twitter Areajulid,” Calls (Journal Cult. Arts, Lit. Linguist., Vol. 6, No. 2, P. 254, 2020, Doi: 10.30872/Calls.V6i2.2842.

S. Salmon And I. Arfyanti, “Penerapan Metode Simple Additive Weighting (Saw) Dan Swara Dalam Pendukung Keputusan Pemilihan Penerimaan Karyawan Apoteker,” Build. Informatics, Technol. Sci., Vol. 4, No. 1, Pp. 12–17, 2022, Doi: 10.47065/Bits.V4i1.1488.

H. Halimah, D. Kartini, F. Abadi, I. Budiman, And M. Muliadi, “Uji Sensitivitas Metode Aras Dengan Pendekatan Metode Pembobotan Kriteria Sahnnon Entropy Dan Swara Pada Penyeleksian Calon Karyawan,” J. Eltikom, Vol. 4, No. 2, Pp. 96–104, 2020, Doi: 10.31961/Eltikom.V4i2.194.

M. K. Bratawisnu And A. Alamsyah, “Social Network Analysisuntuk Analisa Interaksi Userdimedia Sosial Mengenai Bisnise-Commerce(Studi Kasus: Lazada, Tokopedia Dan Elevenia),” Almana, Vol. 2, No. 2, Pp. 107–115, 2018.

M. S. Setatama And D. Tricahyono, Ir., M.M., Ph.D., “Implementasi Social Network Analysis Pada Penyebaran Country Branding ‘Wonderful Indonesia,’” Indones. J. Comput., Vol. 2, No. 2, P. 91, 2017, Doi: 10.21108/Indojc.2017.2.2.183.

M. K. Bratawisnu, A. Alamsyah, T. H. B. Aviani, A. T. Hidayat, And N. K. Daulay, “Social Network Analysisuntuk Analisa Interaksi Userdimedia Sosial Mengenai Bisnise-Commerce(Studi Kasus: Lazada, Tokopedia Dan Elevenia),” J. Sist. Komput. Dan Inform., Vol. 2, No. 2, Pp. 196–201, 2020, Doi: 10.30865/Json.V2i2.2773.

D. Asdini, M. Khairat, And D. P. Utomo, “Sistem Pendukung Keputusan Penilaian Kinerja Manajer Di Pt. Pos Indonesia Dengan Metode Waspas,” Jurikom (Jurnal Ris. Komputer), Vol. 9, No. 1, P. 41, 2022, Doi: 10.30865/Jurikom.V9i1.3767.

V. H. Saputra And S. Setiawansyah, “Penerapan Metode Swara Dan Grey Relational Analysis Dalam Pemilihan Karyawan Terbaik,” J. Artif. Intell. Technol. Inf., Vol. 2, No. 1, Pp. 51–61, 2024.

V. Michael, C. P. Rini, C. B. Meiliansyah, And V. C. Mawardi, “Sosialisasi Pemanfaatan Gephi Untuk Menganalisa Jejaring Sosial Di Smk Negeri 1 Bawang,” J. Serina Abdimas, Vol. 1, No. 1, Pp. 463–472, 2023, Doi: 10.24912/Jsa.V1i1.23925.




DOI: http://dx.doi.org/10.30645/jurasik.v9i2.798

DOI (PDF): http://dx.doi.org/10.30645/jurasik.v9i2.798.g773

Refbacks

  • There are currently no refbacks.



JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Published Papers Indexed/Abstracted By:

Jumlah Kunjungan : View My Stats