SI1912428491

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PENGARUH TECHNOLOGY READINESS DAN SATISFACTION TERHADAP PENERIMAAN

PENGGUNAAN SAFE ENTRY STATION (SES-UR)


SKRIPSI



Disusun Oleh :

NIM : 1912428491

NAMA : Shofiyul Millah


FAKULTAS SAINS DAN TEKNOLOGI

PROGRAM STUDI SISTEM INFORMASI

KONSENTRASI BUSINESS INTELLIGENCE

UNIVERSITAS RAHARJA

TANGERANG

2022/2023




ABSTRAK

Artificial Intelligence membantu para praktisi kesehatan dalam membuat diagnosis yang lebih akurat, memprediksi hasil pengobatan, dan mengidentifikasi risiko kesehatan. Teknologi AI juga dapat digunakan untuk mempercepat proses penelitian dan pengembangan obat baru serta untuk mengoptimalkan operasi rumah sakit dan manajemen pasien. Penelitian ini menggunakan metode survei untuk mengumpulkan data dari 200 responden praktisi kesehatan yang bekerja di berbagai institusi kesehatan di Indonesia. Penelitian yang bertujuan untuk menganalisis faktor-faktor yang mempengaruhi penerimaan kecerdasan buatan (Artificial Intelligence/AI) di bidang kesehatan oleh para praktisi kesehatan. Penelitian ini menggunakan pendekatan Technology Acceptance Model (TAM) untuk mengidentifikasi faktor-faktor yang mempengaruhi niat untuk menggunakan AI dalam bidang kesehatan. Hasil penelitian menunjukkan bahwa faktor-faktor seperti persepsi kemudahan penggunaan, persepsi manfaat, persepsi kontrol yang dirasakan, dan sikap terhadap teknologi mempengaruhi niat untuk menggunakan kecerdasan buatan di bidang kesehatan. Selain itu, hasil penelitian juga menunjukkan bahwa faktor-faktor demografi seperti usia, jenis kelamin, dan pengalaman kerja mempengaruhi persepsi dan niat untuk menggunakan kecerdasan buatan di bidang kesehatan. Hasil penelitian ini dapat digunakan untuk mengembangkan strategi untuk meningkatkan penerimaan kecerdasan buatan di bidang kesehatan oleh para praktisi kesehatan, sehingga dapat meningkatkan efektivitas penggunaannya dalam praktek medis.

Kata Kunci : Artificial Intelligence, Technology Acceptance Model, Kesehatan.

ABSTRACT

Artificial Intelligence helps healthcare practitioners make more accurate diagnoses, predict treatment outcomes, and identify health risks. AI technology can also be used to speed up the research and development process for new drugs and to optimize hospital operations and patient management. This study uses a survey method to collect data from 200 health practitioner respondents who work in various health institutions in Indonesia. This research aims to analyze the factors that influence the acceptance of artificial intelligence (AI) in the health sector by health practitioners. This study uses the Technology Acceptance Model (TAM) approach to identify factors that influence the intention to use AI in the health sector. The results of the study show that factors such as perceived ease of use, perceived usefulness, perceived control, and attitudes toward technology influence intentions to use artificial intelligence in healthcare. In addition, the research results also show that demographic factors such as age, gender, and work experience influence perceptions and intentions to use artificial intelligence in the health sector. The results of this research can be used to develop strategies to increase the acceptance of artificial intelligence in the health sector by health practitioners, so as to increase the effectiveness of its use in medical practice..

Keywords: Artificial Intelligence, Technology Acceptance Model, Health.


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