Analisis Faktor yang Memengaruhi Intensi Penggunaan Mhealth pada Masa Pandemi Covid-19 Menggunakan Structural Equation Modeling (Studi Kasus: Grab Health)

Putri, Nadia Widyawati (2022) Analisis Faktor yang Memengaruhi Intensi Penggunaan Mhealth pada Masa Pandemi Covid-19 Menggunakan Structural Equation Modeling (Studi Kasus: Grab Health). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pandemi COVID-19 yang melanda dunia sejak akhir tahun 2019 telah menyebabkan perubahan perilaku masyarakat dalam mengakses layanan kesehatan. Keterbatasan akses layanan kesehatan secara langsung mendorong peningkatan penggunaan layanan kesehatan berbasis digital atau mHealth. Grab Health sebagai salah satu penyedia layanan mHealth di Indonesia mengalami peningkatan jumlah pengguna selama pandemi. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi intensi penggunaan Grab Health pada masa pandemi COVID-19 dengan menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT2) yang dimodifikasi dengan variabel Perceived Risk. Data dikumpulkan melalui survei online terhadap 373 responden pengguna Grab Health di Indonesia. Metode analisis data yang digunakan adalah Structural Equation Modeling (SEM) dengan bantuan software SmartPLS 3.0. Hasil penelitian menunjukkan bahwa Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, dan Habit berpengaruh positif dan signifikan terhadap Intention to Use. Sementara itu, Facilitating Conditions dan Perceived Risk tidak memiliki pengaruh signifikan terhadap Intention to Use Grab Health pada masa pandemi COVID-19. Penelitian ini memberikan wawasan bagi penyedia layanan mHealth dalam mengembangkan strategi untuk meningkatkan penggunaan layanan di masa depan.
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The COVID-19 pandemic that has affected the world since the end of 2019 has led to changes in public behavior in accessing healthcare services. Limited access to direct healthcare services has encouraged the increased use of digital-based healthcare services or mHealth. Grab Health, as one of the mHealth service providers in Indonesia, has experienced an increase in the number of users during the pandemic. This study aims to analyze the factors influencing the intention to use Grab Health during the COVID-19 pandemic using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model modified with the Perceived Risk variable. Data were collected through an online survey of 373 respondents who are users of Grab Health in Indonesia. The data analysis method used is Structural Equation Modeling (SEM) using SmartPLS 3.0 software. The results show that Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Habit have a positive and significant effect on Intention to Use. Meanwhile, Facilitating Conditions and Perceived Risk do not have a significant effect on the Intention to Use Grab Health during the COVID-19 pandemic. This research provides insights for mHealth service providers in developing strategies to increase service usage in the future.

Item Type:	Thesis (Other)
Additional Information:	RSSI 658.834 2 Put a-1 2022
Uncontrolled Keywords:	mHealth. Structural Equation Modeling. mHealth. Structural Equation Modeling.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	04 Jun 2026 03:05
Last Modified:	04 Jun 2026 03:05
URI:	http://repository.its.ac.id/id/eprint/133553

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