ANALISIS PENERIMAAN PENGGUNA TERHADAP ALGORITMA REKOMENDASI ARTIFICIAL INTELLIGENCE PADA SPOTIFY MENGGUNAKAN TAM

Authors

  • Dealy Alti Universitas Multi Data Palembang
  • Valens Florencia Universitas Multi Data Palembang
  • Kevin Fernando Cahyadi Universitas Multi Data Palembang
  • Dicky Pratama Universitas Multi Data Palembang

DOI:

https://doi.org/10.36002/jutik.v12i1.3978

Keywords:

Acceptance, algorithm, artificial intelligence, spotify, TAM

Abstract

Artificial Intelligence (AI) has been transforming various sectors, and the music streaming industry is no exception. Spotify stands out for employing AI to deliver tailored music suggestions to its users. This research explores user responses to such AI-driven features by utilizing the Technology Acceptance Model as an analytical framework. The study evaluates four dimensions: perceived ease of use, perceived usefulness, behavioral intention, dan actual system use. A survey method was implemented, gathering responses from 100 Spotify users. The results were examined with the help of statistical tools, namely SPSS and SmartPLS. Findings reveal that users’ continued engagement is more strongly linked to the perceived advantages of AI recommendations than to how easy the system is to use.

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Published

2026-04-01

How to Cite

Dealy Alti, Valens Florencia, Kevin Fernando Cahyadi, & Dicky Pratama. (2026). ANALISIS PENERIMAAN PENGGUNA TERHADAP ALGORITMA REKOMENDASI ARTIFICIAL INTELLIGENCE PADA SPOTIFY MENGGUNAKAN TAM. Jurnal Teknologi Informasi Dan Komputer, 12(1), 60–70. https://doi.org/10.36002/jutik.v12i1.3978

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