ANALISIS KEPUASAN PENGGUNA TERHADAP PENGGUNAAN TEKNOLOGI BARU SELF ORDER KIOSK (SOK) DENGAN MENGGUNAKAN METODE TAM DAN SMART PLS (STUDI KASUS DI MCDONALS GRAHA FAMILY SURABAYA)

Niam, Muhammad aizar (2024) ANALISIS KEPUASAN PENGGUNA TERHADAP PENGGUNAAN TEKNOLOGI BARU SELF ORDER KIOSK (SOK) DENGAN MENGGUNAKAN METODE TAM DAN SMART PLS (STUDI KASUS DI MCDONALS GRAHA FAMILY SURABAYA). Undergraduate thesis, UPN VETERAN JATIM.

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Abstract

In 2021, McDonald's restaurants at Graha Family Surabaya began implementing Self Order Kiosk (SOK) machines for the ordering process. Developing the SOK machine application is important to increase customer satisfaction. Each SOK machine, equipped with a state-of-the-art touchscreen, displays a variety of menu options, including food, drinks, snacks, and ice cream. When customers place orders through these machines, their orders are sent directly to the kitchen monitor. This allows kitchen staff to immediately prepare and serve the orders quickly and accurately, reducing customer waiting times. However, there have been several complaints from customers about the ordering process using the SOK machines, indicating that there is still room for improvement in the service. Given these issues, researchers are increasingly interested in using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in this research. PLS-SEM is an analysis technique that enables the simultaneous testing of relationships among multiple dependent and independent variables. Each variable can be a factor or a construct composed of several indicators. The research results led to the conclusion that the perception of the usefulness and ease of use of the Self Order Kiosk (SOK) machine significantly influences the acceptance behavior of SOK technology at McDonald's Graha Family Surabaya. This suggests that when users perceive the SOK machine as useful and easy to use, they are more likely to accept and adopt the technology during their restaurant experience

Item Type:	Thesis (Undergraduate)
Contributors:	Contribution Contributors NIDN/NIDK Email Thesis advisor Safirin, Mochammad Tutuk NIDN0706046301 tutuks.ti@upnjatim.ac.id
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering > Departement of Industrial Engineering
Depositing User:	Muhammad Aizar Aisyun
Date Deposited:	29 May 2024 05:43
Last Modified:	29 May 2024 05:43
URI:	https://repository.upnjatim.ac.id/id/eprint/23329

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