Analisis Faktor-Faktor Penerimaan Pengguna Aplikasi STIKez Peduli Berbasis Android
Abstract
All walks of life, of course, prioritize the availability of information technology today. Availability of technology is necessary to complete every task or job in all aspects of human labour. According to information gathered, the residents of Sukosari Hamlet are still not aware of the importance of health, especially amid the current Covid pandemic. As a result, the "STIKez Peduli" health information system application was developed for Android. In addition to disease information regarding the definition, symptoms, prevention, and treatment, this application also contains information on disease trends that are most common in Malang Regency. The0extent0to0which users0can accept0and understand a technology is very important for the success rate in implementing the system, and user acceptance is always related to the implementation of new systems. By using the Technology Acceptance Model (TAM) method and three variables of Perceived Usefulness, Perceived User Ease, and Application Acceptance, this research examines the acceptability of the STIKez Peduli application. Questionnaires distributed via social media were used for data collection. with samples taken as many as thirty0respondents. From0testing the hypothesis it is known that each of the TAM variables used, namely Acceptance of IT, Perceived Ease of Use, and Perceived Usefulness have a positive influence, with a significant p-value <0.01.
Downloads
References
Aini, N. D. N., & Sigit, N. (n.d.). Penerapan Metode Structural Equation Modelling Pada Pengguna Aplikasi Informasi Kesehatan Pojok Kampung.
Dewi, L., Kharisma, A. S., & Asy’ari, A. N. (2020). Evaluasi Tingkat Penerimaan E-Learning Pada Mahasiswa Bidang Keilmuan Sosial dan Teknik dengan Technology Acceptance Model (TAM). Jurnal Pendidikan Akuntansi Indonesia, 18(1), 01–11. https://doi.org/10.21831/jpai.v18i1.27336
Finno Harta Dinata, Ida Nurmawati, & Indah Muflihatin. (2020). Evaluasi Pendaftaran Online dengan Technology Acceptance Model Di Rumah Sakit Wongsonegoro Semarang. J-REMI : Jurnal Rekam Medik Dan Informasi Kesehatan, 1(3), 226–233.
Mulyani, A., & Kurniadi, D. (2015). Analisis Penerimaan Teknologi Student Information Terminal (S-IT) Dengan Menggunakan Technology Acceptance Model (TAM) (Studi Kasus: AMIK Garut). 7.
Putra, D. S. H., & Kurniawati, R. (2019). Evaluasi Sistem Informasi Manajemen Rumah Sakit Dengan Metode Technology Acceptance Model (TAM) di Rumah Sakit X. J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan, 1(1), 31–36. https://doi.org/10.25047/j-remi.v1i1.1933
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
Sigit, N. (2021). Perbandingan Model Transfer Function dan Model Neural Network Untuk Prediksi Banyak Kasus Demam Berdarah Di Kota Malang.
Sigit, N., & Anugrahanti, W. W. (2022). Pendampingan Kader Kesehatan Dalam Penggunaan Aplikasi Berbasis Android “Pojok Kampung” untuk Meningkatkan Taraf Kesehatan di Dusun Sukosari Desa Pandansari, Poncokusumo, Kabupaten Malang. Selaparang: Jurnal Pengabdian Masyarakat Berkemajuan, 6(3), 1339. https://doi.org/10.31764/jpmb.v6i3.8924
Sigit, N., & Ariyanti, R. (2023). Penggunaan media Aplikasi Pojok Kampung Guna Meningkatkan Pengetahuan Kader Dalam Menurunkan Kejadian Hipertensi. 7.
Trisna, W. V., Daniati, S. E., & Sari, T. P. (2020). Evaluasi Penggunaan Aplikasi Primary Care (P-Care) BPJS Terhadap Pelayanan Kesehatan di Puskesmas Se-Kota Pekanbaru dengan Menggunakan Metode Technology Acceptance Model (TAM). INTECOMS: Journal of Information Technology and Computer Science, 3(2), 152–161. https://doi.org/10.31539/intecoms.v3i2.1596
