Analisis Kepuasan Pengguna Terhadap Aplikasi Spotify Menggunakan Metode End User Computing Satisfaction (EUCS)

M Ferlian Sijadah; Nabila Rizky Oktadini; Allsela Meiriza; Pacu Putra; Putri Eka Sevtiyuni

doi:10.56327/jtksi.v6i2.1485

Analisis Kepuasan Pengguna Terhadap Aplikasi Spotify Menggunakan Metode End User Computing Satisfaction (EUCS)

M Ferlian Sijadah⁽¹⁾, Nabila Rizky Oktadini⁽²⁾, Allsela Meiriza⁽³⁾, Pacu Putra⁽⁴⁾, Putri Eka Sevtiyuni⁽⁵⁾,

(1) Universitas Sriwijaya Fakultas Ilmu Komputer Sistem Informasi
(2) Universitas Sriwijaya Fakultas Ilmu Komputer Sistem Informasi
(3) Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya, Palembang, Sumatera Selatan
(4) Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya, Palembang, Sumatera Selatan
(5) Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya, Palembang, Sumatera Selatan

Corresponding Author

Abstract

Music streaming applications are applications that allow users to listen to legal or online music. Spotify is currently known as the application that provides the largest music streaming service, digital music, podcast, and video service with access to millions of songs and other content from various creators worldwide. This research concerns the analysis of user satisfaction with the Spotify application. This research was conducted to understand and determine user satisfaction with the Spotify application. The method used in this research is End User Computing Satisfaction (EUCS). There are also problems with this music application related to the competition system when listening to music online. The sampling technique uses Lemeshow sampling (based on coincidence) with a total of 100 respondents using a research instrument in the form of a questionnaire using a Likert scale, which is a scale used to measure perceptions, attitudes, or opinions of users towards the Spotify application. shows that the level of user satisfaction from the five variables shows that the Content variable gets the highest satisfaction with a total percentage of 78.5%, the Accuracy variable gets high satisfaction with a total percentage of 77.5%, the Format variable gets the highest satisfaction with a total percentage of 79.9%, the Variable Ease of Use gets high satisfaction with a percentage of 84.6%, the Timelines variable gets high satisfaction with a percentage of 78.9%.

Keywords

Analisis Kepuasan, Metode EUCS, Aplikasi Spotify.

References

Nur Rahmi, A., & Prabowo, D. (2019). Eiivaluasi Keiipuasan Peiingguna Aplikasi Amikom Oneii Meiinggunakan Meiitodeii Eiiucs. In INFOS Journal (Vol. 2, Issueii 1). www.my.unpam.ac.id

Darwati, L. (2022). Analisis Peiingukuran Tingkat Keiipuasan Peiingguna Aplikasi Ovo Meiinggunakan Meiitodeii Eiind Useiir Computing Satisfaction (EiiUCS) (Vol. 12, Issueii2).https://jurnal.umj.ac.id/indeiix.php/just-it/indeiix

Syammariyah Bawardi, F., Rachmadi, A., & Wardani, N. H. (2019). Analisis Keiipuasan Peiingguna Aplikasi Driveiir Ojeiik Onlineii Meiinggunakan Meiitodeii Eiind Useiir Computing Satisfaction (EiiUCS) (Studi Kasus: PT. XYZ) (Vol. 3, Issueii 8). http://j-ptiik.ub.ac.id

Rahma Salsabila, A., Kinanti Feiibriany, A., Cantya Danahiswari, H., Daffa, M., & Kandias Happy Maulana, M. (2022). Prosiding Seiiminar Nasional Teiiknologi dan Sisteiim Informasi (SITASI) 2022 ANALISIS Keiisukseiisan Deiiloneii Mcleiian Issm Pada Aplikasi Spotify Meiinggunakan Seiim-Pls Analysis Of Deiiloneii Mcleiian Issm In Spotify Application Using SEiiM-PLS. http://sitasi.upnjatim.ac.id/|31

Damayanti, A. S., Mursityo, Y. T., & Heiirlambang, A. D. (2018). Eiivaluasi Keiipuasan Peiingguna Aplikasi Tapp Markeiit Meiinggunakan Meiitodeii EiiUCS (Eiind Useiir Computing Satisfaction) (Vol. 2, Issueii 11). http://j-ptiik.ub.ac.id

Hadisuwarno, A. Eii., & Bisma, R. (2020). Analisis peiineiirimaan peiingguna aplikasi eii-Kineiirja deiingan meiitodeii TRAM dan EiiUCS pada keiipolisian. Teiiknologi, 10(2), 93–109. https://doi.org/10.26594/teiiknologi.v10i2.2062

Triayudi, A., & Soeiipriyono, G. (2022). Peiineiirapan Data Mining Untuk Meiingukur Keiipuasan Mahasiswa Teiirhadap Peiimbeiilajaran deiingan Meiinggunakan Algoritma Naïveii Bayeiis. https://doi.org/10.47065/josyc.v4i1.2524

L.Amanda, F. Yanuar, and D. Deiivianto, “Uji Validitas dan Reiiliabilitas Tingkat Partisipasi Politik Masyarakat Kota Padang,” J. Mat. UNAND, vol. 8, no. 1, p. 179, 2019, doi: 10.25077/jmu.8.1.179-188.2019.

A. Leistari, A., Mariati, Ei., & Widiatry, W. (2020). Modeil Klasifikasi Keipuasan Mahasiswa Teiknik Teirhadap Sarana Peimbeilajaran Meinggunakan Data Mining. Jurnal Teiknologi Informasi: Jurnal Keiilmuan Dan Aplikasi Bidang Teiknik Informatika, 14(2), 112–118. https://doi.org/10.47111/jti.v14i2.1222

Analisis Tingkat Keipuasan Peingguna Onlinei Public Acceiss Catalog (OPAC) Deingan Meitodei Eiucs (Studi Kasus: Peirpustakaan UIN SUSKA Riau). (n.d.).

Doll, W.J. and Torkzadeih, G. (1988) Thei Meiasureimeint of Eind-Useir Computing Satisfaction. MIS Quarteirly, 12, 259-272. http://dx.doi.org/10.2307/248851

Komputeir, A. I., & Riau, U. M. (n.d.). Analisis Kualitas Layanan Sisteim Manajeimein Aparatur Reisponsif Teirpadu (SMART) Meinggunakan Meitodei Seirvqual (Studi Kasus: Kantor Dinas Peirumahan, Kawasan Peirmukiman dan Peirtanahan).

Fitriansyah, A., & Harris, I. (2018). Peingukuran Keipuasan Peingguna Situs Weib Deingan Meitodei Eind Useir Computing Satisfaction (EiUCS). Jurnal Sisteim Informasi, 1.

Waluyo, R., Latifah, A. U., & Seitiawan, I. (2021). Analisis Keipuasan Peingguna Sisteim Keiuangan Deisa Meinggunakan Meitodei EiUCS Di Kabupatein Purbalingga (Vol. 8, Issuei 3). Ac.http://jurnal.mdp.ac.idjatisi@mdp.ac.idReiceiiveid

Agustina, R., & Abdillah, L. A. (n.d.). Analisis Keipuasan Peingguna Aplikasi Bintang Cash & Creidit Meinggunakan Meitodei Eind Useir Computing Satisfaction (EiUCS).

Dwikei Ayu Rinjani, A., Rahman Preihanto, D., Surabaya, N., Lidah Weitan, J., Weitan, L., & Lakarsantri, K. (n.d.). Analisis Keipuasan Peingguna Aplikasi Bibit Reiksadana Meinggunakan Meitodei EIUCS dan IPA.

Beindeir, M., Gal-Or, Ei., Geiylani, T., 2020. Attracting artists to music streiaming platforms. Eiuropeian Journal of Opeirational Reiseiarch.

Husain, T., & Budiyantara, A. (n.d.). Analisis Eind-Useir Computing Satisfaction (EiUCS) Dan WeibQual 4.0 Teirhadap Keipuasan Peingguna. http://bit.ly/2BPPciH.

Seivtiyani, I., Program, F. F., D3, S., Meidis, R., Keiseihatan, I., Keiseihatan, F., Jeindeiral, U., Yani, A., Brawijaya, J., Barat, R., & Koreinspondeinsi, Y. (2020). Analisis Keipuasan Peingguna SIMPUS Meinggunakan Meitodei EiUCS di Puskeismas Banguntapan II. In Heialth Information Manageimeint Journal ISSN (Vol. 8, Issuei 2).

Rahma Salsabila, A., Kinanti Feibriany, A., Cantya Danahiswari, H., Daffa, M., & Kandias Happy Maulana, M. (n.d.). Prosiding Seiminar Nasional Teiknologi dan Sisteim Informasi (SITASI) 2022 Analisis Keisukseisan Deilonei Mcleian Issm Pada Aplikasi Spotify Meinggunakan SeiM. http://sitasi.upnjatim.ac.id/|31

Puspitasari, N., Tampubolon, W., & Taruk, M. (n.d.). Analisis meitodei eiucs dan hot-Fit dalam meingeivaluasi peineirapan sisteim informasi manajeimein keipeigawaian (SIMPEiG) Peinulis Koreispondeinsi. http://www.jurnal.umk.ac.id/siteich

Pranita, M. J., Hafidh Zulfikar, D., & Gunawan, C. Ei. (2019). Analisis Keipuasan Peingguna Sisteim Keiageinan PEiRISAI Meinggunakan Eind Useir Computing Satisfaction (Studi Kasus: BPJS Keiteinagakeirjaan Kantor Cabang Paleimbang).

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