Sebuah Jalur Hidup Digital: Penerimaan Pengguna Terhadap Aplikasi Deteksi Penyakit Jantung Koroner
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Abstrak
Cardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable . Regarding theoretical and practical implications, the study enhances the TAM model, providing a deeper understanding of factors influencing health technology adoption. Its findings can refine future research, improve the CHD early detection application, inform public health initiatives, and shape supportive health policies, ultimately benefiting individuals at risk of coronary heart disease
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Referensi
Andi, R., Dewi, A. C., & As’adi, M. (2021). An Empirical Study to Validate the Technology Acceptance Model (TAM) in Evaluating "Desa Digital" Applications. IOP Conf. Ser.: Mater. Sci. Eng (pp. 1-9). IOP Publishing.
Asikin, M., Susaldi, & Nuralamsyah, M. (2016). Keperawatan Medikal Bedah Sistem Kardiovaskular. Jakarta: Erlangga.
Association, A. H. (2023, Oktober 06). Heart Procedures and Surgeries. Retrieved Januari 10, 2024, from American Heart Association: https://www.heart.org/en/health-topics/heart-attack/treatment-of-a-heart-attack/cardiac-procedures-and-surgeries
Bandinelli, R., Scozzafava, G., Bindi, B., & Fani, V. (2023). Blockchain and consumer behavior: Results of a Technology Acceptance. Cleaner Logistics and Supply Chain, 8, 1-9.
Brawijaya, F. K. (2023, Oktober 03). World Heart Day 2023: Use Heart Know Heart. Retrieved Januari 10, 2024, from Prasetya UB: https://prasetya.ub.ac.id/world-heart-day-2023-use-heart-know-heart/#:~:text=WHO%20menyebutkan%20bahwa%20setiap%20tahunnya,650.%20000%20penduduk%20per%20tahun.
Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2023). Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Washington: Sage Publications.
Hancock, G. R., & Mueller, R. O. (Eds.). (2021). Structural Equation Modeling: A Second Course (2nd ed.) (2nd ed.). Charlotte, North Carolina: Information Age Publishing.
Hastuti, E. (2022, Juli 29). Pencegahan dan Pengobatan Penyakit Jantung Koroner. Retrieved Februari 08, 2024, from Kemenkes: Direktorat Jenderal Pelayanan Kesehatan: https://yankes.kemkes.go.id/view_artikel/701/pencegahan-dan-pengobatan-penyakit-jantung-koroner
Ma, K. W., Mak, C. M., & Wong, H. M. (2020). Development of a Subjective Scale for Sound. Journal, 29, 1-37.
Mylano, T. A. (2023, November 10). Internal Disease: Mengenal Penyakit Jantung Koroner, Penyebab Kematian Tertinggi di Dunia. Retrieved Februari 08, 2024, from Siloam Hospitals: https://www.siloamhospitals.com/en/informasi-siloam/artikel/mengenal-penyakit-jantung-koroner-penyebab-kematian-tertinggi-di-dunia
Nakisa, B., Ansarizadeh, F., Oommen, P., & Kumar, R. (2023). Using An Extended Technology Acceptance Model To Investigate Facial Authentication. Telematics and Informatics Reports, 12, 1-11.
Panagoulias, D. P., Virvou, M., & Tsihrintzis, G. A. (2024). A Novel Framework For Artificial Intelligence Explainability Via The Technology Acceptance Model And Rapid Estimate Of Adult Literacy In Medicine Using Machine Learning. Expert Systems with Applications, 248.
Portz, J. D., Bayliss, E. A., Bull, S., Boxer, R. S., Bekelman, D. B., Gleason, K., & Czaja, S. (2019). Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study. J Med Internet Res, 21(4), 1-12.
Pranata, A. E., & Prabowo, E. (2017). Keperawatan Medikal Bedah: Dengan Gangguan Sistem Kardiovaskuler. Yogyakarta : Nuha Medika.
Röcker, C., & Schöler, L. (2022). Convergent and Discriminant Validity of the LMX-7 Scale in a German-Speaking Context. Leadership & Organization Development Journal, 43(4), 537-554.
Saif, N., Khan, S. U., Shaheen, I., Alotaibi, A., & Alnfiai, M. M. (2024). Chat-GPT; Validating Technology Acceptance Model (TAM) In Education Sector Via Ubiquitous Learning Mechanism. Computers in Human Behavior, 154.
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2020). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 109, 134-144.
Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). London: Pearson.
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ, 48, 1273–1296.
Ujakpa, M. M., & Heukelman , D. (2018). Extended Technological Acceptance Model for Evaluating E-Learning: The African Context (ETAM-4EEA) . 10th Int'l Conference on Education, Business, Humanities and Social Sciences Studies (EBHSSS-18) (pp. 334-340). Cape Town (South Africa): Eminent Association of Researchers in Humanities & Management.
Widyawati. (2021, September 28). Penyakit Jantung Koroner Didominasi Masyarakat Kota. Retrieved from Biro Komunikasi & Pelayanan Publik Kementerian Kesehatan RI: https://sehatnegeriku.kemkes.go.id/baca/umum/20210927/5638626/penyakit-jantung-koroner-didominasi-masyarakat-kota/
Yang, Y. W., Goh, T. T., & Dai, X. (2024). Benchmarking ChatGPT for Prototyping Theories: Experimental Studies Using the Technology Acceptance Model. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 4-28.