Analysis of the influence of attitude toward using, behavioral intention and actual use of the Elsimil application on future brides

Authors

  • Sri Astuti Siregar Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi
  • Usi Lanita Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi
  • Rizalia Wardiah Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi
  • Hendra Dhermawan Sitanggang Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

DOI:

https://doi.org/10.22437/proca.v1i2.50513

Keywords:

Attitude toward using; actual use; elsimil, future brides

Abstract

Background: The Elsimil application is designed as a digital innovation to conduct health screenings for prospective brides and grooms, provide education, and nutritional recommendations three months before the wedding. The main objective is to ensure the couple's readiness to prevent the risk of stunting in children. Based on empirical findings in several regions, the main challenges include limited digital infrastructure, low technological literacy, and a lack of understanding and expertise of users in accessing the application. These problems lead to low levels of compliance and intention to use the application, as indicated in several case studies. This low adoption indicates a gap between sophisticated technological design and actual acceptance by target users. Objective: This study aims to analyze the influence of attitudes towards the use, intention to use, and actual use of the Elsimil application on prospective brides and grooms. Methods: This study uses a quantitative method with a cross-sectional approach with a sample of 100 female prospective brides and grooms in Jambi. The researcher used primary data as initial data collected through questionnaires. Data analysis was carried out using SEM-PLS software. Results: The results of the measurement model test indicate that most indicators have outer loading ≥ 0,7, so that it meets the validity criteria convergent, all latent variables are proven to be reliable with Composite Reliability >0.7 and convergent validity good (AVE >0.5). In addition, the discriminant validity test shows that the square root of the AVE of each variable is greater than the correlation between variables, so that each latent variable has adequate discriminant validity. Conclusion: The results of the hypothesis test indicate that attitude toward using (ATU) positively and significantly influences behavioral intention (BI), behavioral intention (BI) positively and significantly influences actual use of system (AU).

Downloads

Download data is not yet available.

Author Biographies

Sri Astuti Siregar, Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Usi Lanita, Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Rizalia Wardiah, Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Hendra Dhermawan Sitanggang, Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

Public Health Department, Faculty of Medicine and Health Sciences, Universitas Jambi

References

[1] Adam, C. A., Ikhwan, H., & Susilastuti DH. Proses Implementasi Aplikasi ELSIMIL: Manifestasi Transformasi Digital Dalam Inovasi Kebijakan Percepatan Penurunan Stunting (Studi Kasus di Kabupaten Kulon Progo). [Internet]. 2023. Available from: https://etd.repository.ugm.ac.id/penelitian/detail/235979

[2] Septiyani D. Analisis Kepatuhan Penggunaan Aplikasi Elsimil dalam Penurunan Angka Stunting di Kota Metro. Miracle J Public Heal. 2024;7(2).

[3] Indri Astuti I, Ropika Dana Br Tarigan S, Stiawati T. Tantangan Penggunaan Aplikasi ELSIMIL Bagi Calon Pengantin di Kecamatan Kasemen Kota Serang. Publ J Public Adm Stud. 2025;4(1):52–8.

[4] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q Manag Inf Syst. 1989;13(3):319–39.

[5] Sarstedt M, Ringle CM, Hair JF. Partial Least Squares Structural Equation Modeling. Handbook of Market Research. 2021. 587–632 p.

[6] Nabbila Dinda Pramesti; Helen Andriani, supervisor; Purnawan Junadi examiner; SN. Analisis penerapan technology acceptance model (TAM) terhadap penerimaan aplikasi SatuSehat Mobile pada masyarakat di DKI Jakarta Tahun 2023 = Application analysis of technology acceptance model (TAM) on the acceptance of the SatuSehat Mobile application. 2023; Available from: https://lib.ui.ac.id/detail?id=9999920524401&lokasi=lokal

[7] Putri CA, Yahya ES, Kania R, Kunci K. Sikap dan Niat Perilaku Generasi Milenial dalam Adopsi Platform Telemedicine untuk Layanan Konsultasi Kesehatan Mental. 2021;4–5.

[8] Bariq A, Rachmadi A, Syawli A. Analisis Faktor-faktor yang Memengaruhi Keberlanjutan Penggunaan Layanan Telemedicine XYZ : Studi Kasus Pasca Pandemi COVID-19 di Jawa Timur. 2025;9(8).

[9] Ghozali I LH. Partial Least Squares Konsep, Teknik dan Aplikasi Program SmartPLS 3.0. Academia (Accelerating the world’s research). 2020;

[10] Hair JF, Hult GT, Ringle C, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) - Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, Marko Sarstedt. Sage. 2017. 374 p.

[11] Fornell & Larcker, D. F. C. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res This. 2016;18(1):39–50.

[12] Ghozali I. Partial Least Squares: Konsep, Teknik, dan Aplikasi Menggunakan Program SmartPLS 3.2.9 Untuk penelitian Empiris. 2021;

[13] Deni, Rido Satria RamaNurlinda RA. Analisis Faktor-Faktor Yang Mempengaruhi Behavioral Intention Dan Use Behavior Pada Aplikasi Tiktok Shop. J Ekon. 2022;13(November):230.

[14] Kemenkes RI. Hasil Survei Status Gizi Indonesia. Kementeri Kesehatan Republik Indonesia (SSGI 2024):77–77.

[15] Perpres. Pepres No 72 Tahun 2021. Pepres, 2021. 2021;(1):23.

[16] Pemkot S. Buku Saku Calon Pengantin. Surabaya: Puspaga; 2023.

[17] Firma Novita, M. Si Cikik Sikmiyati, MM Asep Sopari MSRM. Modul Aplikasi ELSIMIL (Elektronik Siap Nikah dan Hamil) Bagi Tim Pendamping Keluarga. Modul TOT Fasilitator Stunting. 2022;1–63.

[18] Prijatni & Rahayu. No Title. In: Modul Bahan Ajar Cetak Kebidanan Kesehatan Reproduksi & Keluarga Berencana. Cetakan Pe. Jakarta: Kemenkes RI. BPPSDM; 2016.

[19] BKKBN. ELSIMIL Bagi Calon Pengantin. 2021;1–58.

[20] Davis, Fred D. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly, vol. 13, no. 3, 1989, pp. 319–40. JSTOR, https://doi.org/10.2307/249008. Accessed 22 May 2025.

[21] Wicaksono SR. Teori Dasar Technology Acceptance Model. 2022.

[22] Asaddullah AR, Katmawanti S, Deniati EN, Adi S. Prediction the Intentions of Behaviour of Prospective Brides Using Elsimil Applications on Stunting Prevention in Batu City [Internet]. Atlantis Press International BV; 2023. 153–162 p. Available from: http://dx.doi.org/10.2991/978-94-6463-320-7_15

[23] Susanti T, Syamsuar D. Integrasi tam dan servqual untuk melihat penerimaan teknologi siakad pada sekolah tinggi teknologi pagar alam. J Teknol Inf Mura. 2022;

[24] Sugiyono. Prof. Dr. Sugiyono. 2018. Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta. Prof Dr Sugiyono 2018 Metod Penelit Kuantitatif, Kualitatif, dan R&D Bandung Alf. 2018;

[25] Ghozali I, Latan H. Partial Least Squares Konsep, Teknik dan Aplikasi Program SmartPLS 3.0. Academia (Accelerating the world’s research). 2020.

Downloads

Published

30-11-2025

How to Cite

Siregar, S. A., Lanita, U., Wardiah, R., & Sitanggang, H. D. (2025). Analysis of the influence of attitude toward using, behavioral intention and actual use of the Elsimil application on future brides. Proceedings Academic Universitas Jambi, 1(2), 955–962. https://doi.org/10.22437/proca.v1i2.50513

Issue

Section

RESEARCH DISSEMINATION