PENGARUH HEDONIC MOTIVATION, HABIT, DAN PERCEIVED VALUE TERHADAP NIAT PENGGUNAAN APLIKASI FLO MENGGUNAKAN METODE UTAUT 2
DOI:
https://doi.org/10.70248/jcsit.v3i4.4273Abstract
Penelitian dirancang secara kuantitatif untuk menjelaskan hubungan antara kesenangan, kebiasaan, nilai aplikasi, dan niat menggunakan Flo. Pendekatan ini dipilih karena penelitian bertujuan mengukur pengaruh variabel kesenangan, kebiasaan, dan nilai aplikasi terhadap niat penggunaan aplikasi Flo. Pengumpulan data dilakukan melalui kuesioner daring berbasis Google Form dengan teknik purposive sampling, yaitu responden dipilih berdasarkan kriteria tertentu (wanita, belum menikah, berusia 15–30 tahun, serta memiliki perhatian terhadap siklus kesehatan wanita). Data diperoleh melalui formulir survei daring. Responden dipilih secara terarah berdasarkan kesesuaiannya dengan karakteristik yang telah ditentukan dalam penelitian. Instrumen penelitian disusun menggunakan skala Likert 1–5, mulai dari skor 1 (sangat tidak setuju) hingga skor 5 (sangat setuju), untuk mengukur persepsi responden terhadap setiap indikator variabel. Setiap pernyataan diukur dengan lima tingkat respons, dari penolakan paling kuat hingga persetujuan paling kuat. Data yang terkumpul selanjutnya dianalisis melalui uji validitas, uji reliabilitas, statistik deskriptif, serta regresi linear berganda.
References
A. Leiwakabessy, H. Novita, E. Dian Marlina, A. Tansah Rohaeti, and J. Kristianto, “Pengaruh Kelas Remaja Putri Dan Integrasi Model Aplikasi Android ‘My Periode Tracker’ Untuk Menurunkan Gejala Kecemasan Premenstrual Syndrome,” Jurnal Health Sains, vol. 3, no. 12, pp. 1714–1723, Dec. 2022, doi: 10.46799/jhs.v3i12.650.
N. D. Astikasari and J. Kofi, “Analisis Tingkat Pengetahuan tentang Kesehatan Reproduksi terhadap perilaku menghadapi Premenstruasi Sindrom pada Remaja,” Journal for Quality in Women’s Health, vol. 5, no. 1, pp. 8–16, Mar. 2022, doi: 10.30994/jqwh.v5i1.127.
F. Asadollahi, S. E. Zagami, and R. L. Roudsari, “Understanding pregnant women’s intention to use mobile health apps and its determinants: applying the UTAUT model in a mixed-methods study,” BMC Primary Care, vol. 26, no. 1, p. 252, 2025, doi: 10.1186/s12875-025-02950-7.
E.-M. Schomakers, C. Lidynia, L. S. Vervier, A. Calero Valdez, and M. Ziefle, “Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study,” JMIR Mhealth Uhealth, vol. 10, no. 1, p. e27095, Jan. 2022, doi: 10.2196/27095.
P. Schretzlmaier, A. Hecker, and E. Ammenwerth, “Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study,” JMIR Hum. Factors, vol. 9, no. 1, 2022, doi: https://doi.org/10.2196/34918.
S. Veronika, M. S. W. Lee, B. Lang, and P. Putra, “A systematic review and future agenda on continuance intentions in mobile apps,” International Journal of Information Management Data Insights, vol. 5, no. 2, p. 100352, 2025, doi: https://doi.org/10.1016/j.jjimei.2025.100352.
A. Andrianto, “FAKTOR YANG MEMPENGARUHI BEHAVIOR INTENTION UNTUK PENGGUNAAN APLIKASI DOMPET DIGITAL MENGGUNAKAN MODEL UTAUT2,” Jurnal Ilmiah Ekonomi Bisnis, vol. 25, pp. 111–122, Aug. 2020, doi: 10.35760/eb.2020.v25i2.2412.
N. C. and A. H. and A. WHO Department of Maternal, “Women of reproductive age (15-49 years) population (thousands).” Accessed: Aug. 03, 2026. [Online]. Available: https://www.who.int/data/gho/indicator-metadata-registry/imr-details/women-of-reproductive-age-(15-49-years)-population-(thousands)
M. Yang, A. Al Mamun, J. Gao, M. K. Rahman, A. A. Salameh, and S. S. Alam, “Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology,” Sci. Rep., vol. 14, no. 1, p. 339, 2024, doi: 10.1038/s41598-023-50436-2.
Lars Bergkvist and John R Rossiter, “The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs,” Journal of Marketing Research, vol. 44, no. 2, pp. 175–184, May 2020, doi: 10.1509/jmkr.44.2.175.
E.-M. Schomakers, C. Lidynia, L. S. Vervier, A. Calero Valdez, and M. Ziefle, “Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study,” JMIR Mhealth Uhealth, vol. 10, no. 1, p. e27095, Jan. 2022, doi: 10.2196/27095.
P. Schretzlmaier, A. Hecker, and E. Ammenwerth, “Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study,” JMIR Hum. Factors, vol. 9, no. 1, Jan. 2022, doi: 10.2196/34918.
J. Su, Y. Wang, H. Liu, Z. Zhang, Z. Wang, and Z. Li, “Investigating the factors influencing users’ adoption of artificial intelligence health assistants based on an extended UTAUT model,” Sci. Rep., vol. 15, no. 1, p. 18215, 2025, doi: 10.1038/s41598-025-01897-0.
