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All Journal Jurnal Administrasi Bisnis JUTIK : Jurnal Teknologi Informasi dan Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Klik - Jurnal Ilmu Komputer Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) Innovative: Journal Of Social Science Research MDP Student Conference Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Ilmiah Ekonomi dan Manajemen International Journal of Educational and Life Sciences (IJELS) Jurnal Riset Teknik Komputer Jurnal Riset Sistem Informasi Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Ilmiah Manajemen Dan Kewirausahaan
Dicky Pratama
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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ANALISIS PENERIMAAN PENGGUNA TERHADAP ALGORITMA REKOMENDASI ARTIFICIAL INTELLIGENCE PADA SPOTIFY MENGGUNAKAN TAM Dealy Alti; Valens Florencia; Kevin Fernando Cahyadi; Dicky Pratama
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 1 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v12i1.3978

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.
PENGARUH TEKNOLOGI ARTIFICIAL INTELLIGENCE APLIKASI DUOLINGO TERHADAP KEPUASAN PELANGGAN MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) Cesya Catherine; Albert Wijaya; Dicky Pratama
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 1 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v12i1.3984

Abstract

The advancement of technology, particularly Artificial Intelligence (AI), has brought significant changes to the education sector, especially in the use of digital learning applications such as Duolingo. This application integrates AI to provide an adaptive and personalized learning experience, enabling content customization and automatic feedback based on user performance. This research endeavors to understand the impact of AI technology in the Duolingo application on user satisfaction by applying the Technology Acceptance Model (TAM) framework. A quantitative approach was used, with data gathered through questionnaires distributed to 100 active Duolingo users. The research variables include perceived ease of use (PEOU), perceived usefulness(PU), attitude toward use(AT), behavioral intention(BI), and actual usage(AU). The outcomes of the validity and reliability tests show that all instruments utilized in this research fulfill the requirements for validity and reliability.Structural model analysis shows that all hypotheses in the TAM model are statistically significant, where the ease of use of AI positively influences perceived usefulness, user attitude, behavioral intention, and actual usage. The conclusion of this study reveals that the integration of AI in Duolingo has a positive impact on user satisfaction. This study helps to further the understanding of learning technology that is more engaging, interactive, effective, and adaptable to future needs.
ANALISIS KEPUASAN PENGGUNA TERHADAP ALGORITMA AI DALAM PERSONALISASI KONTEN PADA APLIKASI INSTAGRAM MENGGUNAKAN METODE EUCS Callista Felisya; Felinsia Pung Handoko; Shella Marcelia; Dicky Pratama
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 1 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As one of the popular platforms and often used by the general public, Instagram is a social media that is widely used by the public that allows us to post content, exchange content, and get information from the Artificial Intelligence (AI) algorithm. Based on the number of users who use the Instagram application, this study was conducted to provide a level of user satisfaction with the AI ​​algorithm in personalizing content presented by the Instagram application. The approach applied to assess the level of user satisfaction with the AI ​​algorithm is the End-User Computing Satisfaction (EUCS) Method. The data collection method appliedis the use of a questionnaire with a total of 18 questions distributed to 100 respondents who are active users of the Instagram a pplication. Based on the data collection obtained using EUCS, from a total of 5 hypotheses, there are 2 hypotheses that have a significant influence on the scale of user satisfaction and these variables are accuracy & timeliness variables. From the results of this hypothesis, it can be stated that the AI ​​algorithm in the Instagram application provides satisfaction to users in the context of content personalization accuracy and timeliness in presenting content, but the AI ​​algorithm has not made a significant contribution to other aspects such as Content, Format and Ease of Use. The percentage obtained based on 5 hypothesis tests, 40% shows that the AI ​​algorithm has influenced user satisfaction, but the other 60% are content suitability, explore page accuracy, lack of application display, and user convenience in using the application that still needs to be returned by the application manager to provide a satisfying user experience. This study can be a basis for the Instagram application itself to improve the AI ​​algorithm in developing their application in order to provide comprehensive satisfaction to users.
Co-Authors . Suharyono Adelitan Salsabilah Amir Agnes Monica Albert Wijaya Alficandra Anggoro Aryo P Bintang Ramadhan Saragih Calista Silvia Jaya Callista Felisya Cesya Catherine Charles Yandhika Darren Hansen Darriel Dapples Dealy Alti Derry Alamsyah Dewi Susita Dheren Harliana Halim Dinda Aulia Sari Edy Yulianto Ellen Fransisca Felinsia Pung Handoko Finkan Nadia Harahap, Muhammad Ikhsan Hendri Sopryadi Hermawan Hermawan Ilham Swandanang Imam Fathul Aziz Jodi Putra Aljabbar Karina karina Kasih Purwati Kennan Hamilton Kevin Brillian Kevin Fernando Cahyadi Lionnell Julycell Huang M.Zacky Aulya Mahendra Gilang Mario Aldy Wijaya Marvin Junaidi Michella Valery Muhammad Abdul Arip Muhammad Aziz Mutiara Astri Pradina Nicholas Nicholas Niko Ananda Limmanto NUR HAMIDAH Odelia Puji Wahono Raissa Amanda Putri Shella Marcelia Siti Sheila Mozza Fatihah W Sukma Sahreni Syeira Khaerani Taufiq Kamil Batubara Theresia Chintia Herawati Tria Annisa Valens Florencia Vincent Andreson Vionetha Lavega Vivian Vivian Wilbert Anderson