Rizki, Irfan Nur
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Behavioral Intentions of Generation Z and Millennial Users of Telemedicine: A UTAUT 2 Analysis from the Halodoc User Perspective Hidayah, Nur Aeni; Utami, Meinarini Catur; Rizki, Irfan Nur
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.786

Abstract

The rapid development of telemedicine has significantly transformed health services, leveraging technological sophistication to enhance medical consultations and treatments. Halodoc, a leading telemedicine application, has positively impacted the health sector. However, user reviews on the Google Play Store indicate issues that may affect user satisfaction and behavioral intention. Despite Millennials and Generation Z being major digital platform users, Generation X reports the highest satisfaction with telemedicine services. This study aims to validate the factors influencing and interrelating user satisfaction and behavioral intention in using the Halodoc application. Employing a quantitative approach with PLS-SEM data analysis, the study integrates the UTAUT 2 model with the Delone & McLean model. The results reveal that out of eight hypotheses, seven are supported, with Effort Expectancy on User Satisfaction being the only rejected hypothesis. The findings highlight that User Satisfaction significantly influences Behavioral Intention, underscoring the importance of enhancing user experience to improve telemedicine adoption.
IMPLEMENTASI EXPLORATORY DATA ANALYSIS UNTUK ANALISIS DAN VISUALISASI DATA PENDERITA STROKE KALIMANTAN SELATAN MENGGUNAKAN PLATFORM TABLEAU Rizki, Irfan Nur; Prayoga, Dimas; Puspita, Mutiara Lia; Huda, Muhammad Qomarul
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3856

Abstract

Data jumlah penderita stroke di Provinsi Kalimantan Selatan didokumentasikan melalui tabel dan format Excel, tersedia di Satu Data Indonesia. Angka-angka pada data unduhan bervariasi dan terdapat kekosongan sehingga menyulitkan interpretasi dan analisis. Untuk mengatasi masalah tersebut, peneliti menggunakan metode Eksploratory Data Analysis (EDA) dengan bantuan software Tableau. Visualisasi data mencakup perubahan kasus baru, jumlah kematian akibat stroke, perbandingan kasus baru dan lama, total penderita stroke, dan tren kasus stroke di Kalimantan Selatan (2020-2022). Meskipun terjadi penurunan kasus baru dan kematian, beberapa daerah masih mengalami kenaikan kasus baru pada 2022, menunjukkan variasi tren. Analisis lebih lanjut diperlukan untuk memahami faktor-faktor yang mempengaruhi perubahan tersebut.