Application Of Technology Acceptance Model (TAM) To Analyze Alfagift Application Acceptance In Sukabumi Regency

Main Article Content

Sinta Desiana
Cecep Warman

Abstract

This study aims to analyze the acceptance of the Alfagift application in Sukabumi Regency using the Technology Acceptance Model (TAM) developed by Davis (1989). This quantitative research involved 100 application users as respondents, with data collected through a Google Form–based questionnaire and analyzed using SmartPLS 4 to examine validity, reliability, and structural relationships among the main variables: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Toward Using (ATU), Behavioral Intention to Use (BI), and Actual System Use (AU). The descriptive analysis results indicate that the mean scores of all variables exceed 4.30 on a 5-point Likert scale, with PEU showing the highest mean value (4.56), suggesting that perceived ease of use is the most dominant factor in application acceptance. Convergent validity and reliability tests (Cronbach's Alpha > 0.7; Composite Reliability > 0.7; AVE > 0.5) confirm the adequacy of the measurement instrument, although one indicator (PEU3) was found to be invalid. Hypothesis testing demonstrates that PU and PEU have positive and significant effects on ATU and BI, and BI significantly influences AU, in line with the classical TAM framework. Although the R-square values ​​for BI (0.431) and AU (0.279) indicate weak to moderate explanatory power, the findings provide empirical contributions to the development of Alfamart's omnichannel retailing strategies, the enhancement of digital literacy in Sukabumi, and the body of TAM literature on local mobile commerce applications. Practical implications include optimizing intuitive features to improve user adoption.

Downloads

Download data is not yet available.

Article Details

How to Cite
Desiana, S., & Cecep Warman. (2026). Application Of Technology Acceptance Model (TAM) To Analyze Alfagift Application Acceptance In Sukabumi Regency. International Journal of Health Engineering and Technology, 5(2). https://doi.org/10.55227/ijhet.v5i2.1039
Section
Health

References

A. Mulyani, M. Rikza Nashrulloh, and A. Karlina, “Analisis Penerimaan Sistem Informasi Akademik Mahasiswa (SIAM) Institut Teknologi Garut Menggunakan Metode Technology Acceptance Model,” 2022. [Online]. Available: https://siam.itg.ac.id/

A. Siswoyo and B. S. Irianto, “Analisis Technology Acceptance Model (TAM) Terhadap Pengguna Aplikasi Mobile Banking,” Owner, vol. 7, no. 2, pp. 1196–1205, Apr. 2023, doi:10.33395/owner.v7i2.1440.

A. Persepsi et al., “Analysis Of Perceived Ease Of Use On Intention To Use Alfagift Through Perceived Usefulness As A Mediating Variable (Survey On Alfamart Consumers In Sukabumi City),” 2024. [Online]. Available: http://journal.yrpipku.com/index.php/msej

D. Chaniago and M. Akbar, “Analisis Kemampuan Pengguna dalam Menggunakan E-Commerce Shopee dengan Metode Technology Acceptance Model (TAM),” 2020.

F. Hanifa, C. Harnit Putri, and A. Wulansari, “Analisis Penerimaan Aplikasi Alfagift Di Kota Surabaya Menggunakan Metode Technology Acceptance Model,” Jurnal Sains Dan Teknologi (JSIT), vol. 3, no. 2, p. 233, 2023, [Online]. Available: http://jurnal.minartis.com/index.php/jsit

G. Mahendra Putra, M. Farid, J. Informatika, F. Teknik, U. Mulawarman Jl Sambaliung No, and K. Timur, “Penerapan Metode Technology Acceptance Model (TAM) untuk Menganalisis Penerimaan Aplikasi BRImo (Studi Kasus: BRI Wilayah Tana Paser),” 2024.

G. Prakarsa, “Analisis Faktor-faktor Penerimaan Konsumen Pada Aplikasi E-Marketplace Lazada Menggunakan TAM,” Jurnal Sains dan Teknik, vol. 1, 2019, [Online]. Available: http://ejournal.uicm-unbar.ac.id/index.php/sainteks/hal.104

H. Ekky Octavianty, A. Muhammad Sadat, and D. Agustin Pratama Sari, “Faktor-Faktor yang Mempengaruhi Online Shopping Intention pada Produk Vitamin di DKI Jakarta,” 2022.

H. H. Ariyanto and P. Peranginangin, “Factors Influencing the Intention to Use Mobile Payment In Indonesia,” Manajemen dan Akuntansi, vol. 26, no. 1, 2023, doi: 10.35591/wahana.v.

L. Ana, H. Amin, and A. Pendahuluan, “Analisis Penerimaan E-Learning sebagai Media Perkuliahan melalui Pendekatan Technology Acceptance Model (TAM),” 2025. [Online]. Available: https://ejournal.staimnglawak.ac.id/index.php/lentera

M. Ariany, R. Samsul Bahri, and S. Tinggi Ilmu Ekonomi Harapan Bangsa, “The Influence of Omnichannel Retailing, Customer Engagement, Customer Satisfaction, and Technology Acceptance Models on Customer Retention: An Alfagift Case Study,” Eduvest-Journal of Universal Studies, vol. 5, 2025.

M. Hanif, “Analysis of Technology Acceptance Model (TAM) on Jenius Mobile Banking Application in Jakarta,” 2018.

N. Mirantika, F. Yusuf, and T. S. Syamfithriani, “Analisis Penerimaan Teknologi M-Commerce Menggunakan Metode Technology Acceptance Model (TAM) Pada Penjualan Retail di Kabupaten Kuningan,” vol. 16, no. 1, 2022, [Online]. Available: https://journal.uniku.ac.id/index.php/ilkom

Sherly Aliah, “Analisis Kepuasan Pengguna Aplikasi Alfagift (Studi Kasus Pada Mahasiswa Politeknik Negeri Sriwijaya),” 2022.

U. Brawijaya, I. C. Rutchya, S. Hadi Wijoyo, W. Hayuhardhika, and N. Putra, “Fakultas Ilmu Komputer Analisis Faktor-Faktor yang Memengaruhi Terhadap Minat Penggunaan Aplikasi Online Grocery Shopping Alfagift Terintegrasi Pembayaran Digital,” 2017. [Online]. Available: http://j-ptiik.ub.ac.id

Wahyu Ningrat and S. Syahriani, “Analisis Tingkat Kepuasan Pengguna Aplikasi Alfagift Menggunakan Metode End User Computing Satisfaction Dan Net Promoter Score,” Jurnal Komputer Antartika, vol. 3, no. 3, pp. 87–98, Sep. 2025, doi: 10.70052/jka.v3i3.1036.