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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma Journal of Business and Information System
Muhammad Rizki Nugraha
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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PENERAPAN TECHNOLOGY ACCEPTANCE MODEL PADA MARKER BASED TRACKING UNTUK PEMBELAJARAN SISTEM TATA SURYA TERHADAP ANAK - ANAK Muryan Awaludin; Muhammad Rizki Nugraha
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 8, No 1 (2021): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v8i1.613

Abstract

AbstractTechnology Acceptance Model (TAM) is a method used as a measurement tool in this study, to measure the feasibility of an Augmented Reality application by collecting questionnaire data on 150 respondents using 3 variables as a reference namely Perceived Easy Of Use as X1, Perceived Usefulness as X2, and Actual Use as Y. The data processing method uses SPSS 20 supporting applications with the data validation test process determination of the value of r table by finding df (degree of freedom) df = 150-2 with a significant 5% (0.1603) must < r count on each variable then the data is considered valid , the result of this data validation is 0.6210 which means the data is valid. And the reliability test with the provisions that the value at which the cronbach's alpha value must be > 0.6 for each variable, the data can be considered reliable, the results of the reliability test for the total of these three variables is 0.906 which means the data is reliable. Keywords: Augmented Reality, Technology Acceptance Model, Information and Communication Technology, Interactive Learning Media.
Impact of AI-powered chatbot choki on Shopee users' continuance intention Ivana Ester Claudia; Syti Sarah Maesaroh; Muhammad Rizki Nugraha
Journal of Business and Information Systems (e-ISSN: 2685-2543) Vol. 7 No. 2 (2025): Journal of Business and Information Systems
Publisher : Department of Accounting, Faculty of Business, Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbis.v7i2.327

Abstract

Indonesia’s fast-growing digital economy is driving e-commerce firms to adopt artificial intelligence (AI) to enhance their services. One common tool is the AI-powered chatbot, which helps users quickly and efficiently. Shopee introduced its AI-powered chatbot, Choki, to facilitate seamless, automated customer interactions. This study examines the impact of system quality, information quality, and service quality on user satisfaction and, in turn, on continuance intention. Data were collected from 242 Shopee users in the Jabodetabek region and analyzed using SEM-PLS. The findings reveal that system quality has a significant effect on continuance intention, while information and service quality indirectly affect it through user satisfaction. These results highlight the crucial role of AI-driven system reliability in sustaining users’ long-term engagement with e-commerce platforms. Theoretically, this research strengthens the application of the DeLone and McLean Information Systems Success Model in the e-commerce context, while practically offering practitioners insights to enhance user experience by improving chatbot information accuracy and service responsiveness
Co-Authors Ivana Ester Claudia Maesaroh, Syti Sarah Muryan Awaludin