FACTORS ASSOCIATED WITH SELF-REPORTED USER ACCEPTANCE AND PERCEIVED USEFULNESS OF SI-TELUR PETIS: A CROSS-SECTIONAL STUDY

Authors

  • Mei Rianita Elfrida Sinaga Bethesda Yakkum Yogyakarta School of Health Sciences
  • Indrayanti Bethesda Yakkum Yogyakarta School of Health Sciences
  • Santy Ercelina Nainggolan Faculty of Medicine, Tanjungpura University, West Kalimantan, Indonesia
  • Retno Heru Setyorini Bethesda Yakkum Yogyakarta School of Health Sciences
  • Sulistiyani Polytechnic Health of Jayapura, Papua, Indonesia
  • Ontran Sumantri Riyanto Sekolah Tinggi Ilmu Kesehatan Bethesda Yakkum Yogyakarta
  • Endang Khoirunnisa Akbidyo College of Health Sciences, Yogyakarta, Indone

DOI:

https://doi.org/10.53806/iamsph.v7i1.1455

Keywords:

mHealth; Non-Communicable Diseases; Si-Telur Petis App; Telenursing; Uer Acceptance.

Abstract

Non-communicable diseases (NCDs) such as hypertension and diabetes mellitus are major contributors to global mortality. Mobile health (mHealth) applications are increasingly utilized for preventive efforts, yet research often prioritizes usability over actual effectiveness. Si-Telur Petis is a telenursing application developed in Indonesia to support behavioral modification and NCD prevention. This study explores factors influencing the effectiveness of Si-Telur Petis in preventing hypertension and diabetes mellitus. A total of 109 working-age individuals (15–59 years) in Yogyakarta, Indonesia, participated in the study. Effectiveness was assessed using a validated 33-item questionnaire (Cronbach’s alpha = 0.957) based on the Unified Theory of Acceptance and Use of Technology (UTAUT), examining predisposing, enabling, reinforcing, system quality, safety, and satisfaction factors. Results show that employment status, enabling factors, system quality, safety, and satisfaction significantly affect effectiveness, with satisfaction emerging as the strongest predictor (?=0.867, p<0.001). These findings indicate that user satisfaction is the key determinant of Si-Telur Petis effectiveness, emphasizing the importance of user-centered design, reliable system quality, and robust security in mHealth adoption. Despite limitations in sample size and geographic scope, this study offers preliminary evidence supporting the broader implementation of digital nursing interventions.

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Published

2026-06-08