Faktor-faktor yang mempengaruhi niat penggunaan aplikasi telemedicine di Jabodetabek

Ongko, Iren (2023) Faktor-faktor yang mempengaruhi niat penggunaan aplikasi telemedicine di Jabodetabek. Masters thesis, Universitas Pelita Harapan.

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Abstract

Kehadiran telemedicine memegang peranan vital dalam sistem pelayanan kesehatan di negara berkembang, karena dapat mempermudah akses ke pelayanan kesehatan terutama di daerah terpencil. Namun, berbagai faktor dapat mempengaruhi penerimaan dan niat untuk menggunakan suatu teknologi baru. Tujuan dari penelitian ini ialah menganalisa faktor-faktor yang mempengaruhi niat pengguna terhadap aplikasi telemedicine di Indonesia dengan menggunakan Extended Technological Acceptance Model (TAM). Variabel yang diteliti meliputi facilitating conditions (kondisi yang memfasilitasi), social influence (pengaruh sosial), perceived ease of use (kemudahan penggunaan yang dirasakan), dan perceived usefulness (kegunaan yang dirasakan) beserta pengaruhnya terhadap variabel behavioral intention (niat penggunaan). Penelitian ini dilakukan dengan pendekatan kuantitatif menggunakan instrumen kuesioner yang disebarkan secara online. Analisis data dilakukan dengan teknik multivariat menggunakan Partial Least Square-Structural Equation Modelling (PLS-SEM). Hasil penelitian menunjukkan keempat variabel independen yang diteliti memiliki pengaruh positif terhadap niat penggunaan aplikasi telemedicine./ The presence of telemedicine plays a vital role in the health care system in developing countries, because it can facilitate access to health services, especially in remote areas. However, various factors can influence the acceptance and intention to use a new technology. This study analyzes the factors influencing the intention to use telemedicine applications in Indonesia using the Extended Technological Acceptance Model (TAM). The variables studied included facilitating conditions, social influence, perceived ease of use, and perceived usefulness and their influence on behavioral intention variables. This research was conducted using a quantitative approach using questionnaires that were distributed online. Data analysis was performed using a multivariate technique using Partial Least Square-Structural Equation Modeling (PLS-SEM). The results showed that the four independent variables studied positively influenced the intention to use telemedicine applications.

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