Analisis Pengaruh Persepsi Pelanggan Terhadap Niat Menggunakan Aplikasi Maxride

Penulis

  • Muhammad Adhan Universitas Hasanuddin
  • Kifayah Amar Universitas Hasanuddin

DOI:

https://doi.org/10.32502/integrasi.v11i1.1493

Kata Kunci:

TAM, Persepsi Manfaat, Persepsi Kemudahan, Sikap, Niat Menggunakan, Kepercayaan, SEM

Abstrak

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi niat penggunaan aplikasi transportasi lokal Maxride dengan mengintegrasikan variabel kepercayaan (trust) ke dalam Technology Acceptance Model (TAM). Metode penelitian ini menggunakan pendekatan kuantitatif dengan teknik analisis Structural Equation Modeling (SEM). Variabel yang diuji meliputi kepercayaan, persepsi kegunaan, persepsi kemudahan penggunaan, sikap, dan niat perilaku. Hasil penelitian menunjukkan bahwa seluruh hipotesis yang diajukan terbukti signifikan secara statistik. Kepercayaan ditemukan sebagai prediktor yang sangat kuat dalam membentuk persepsi kegunaan dan sikap pengguna terhadap aplikasi. Namun, dari seluruh jalur hubungan yang ada, persepsi kegunaan merupakan faktor yang memiliki pengaruh total paling dominan dalam mendorong niat perilaku penggunaan. Selain itu, persepsi kemudahan penggunaan terbukti memengaruhi niat penggunaan secara tidak langsung melalui peran mediasi sikap. Penelitian ini menyimpulkan bahwa meskipun persepsi kegunaan menjadi pendorong langsung yang utama, penguatan aspek kepercayaan tetap menjadi fondasi krusial bagi penyedia jasa transportasi lokal untuk meningkatkan adopsi teknologi di masyarakat.

Referensi

J. Assafar, Sakaria, and Ria Renita Abbas, “Dampak Perubahan Moda Transportasi Terhadap Eksistensi Ojek Konvensional Di Era Digital,” Journal Publicuho, vol. 8, no. 4, pp. 2969–2978, Dec. 2025, doi: 10.35817/publicuho.v8i4.1052.

Z. Zainuddin, “Studi Kualitatif tentang Persepsi dan Pengalaman Pengguna terhadap Teknologi Jasa Transportasi Online,” RIGGS: Journal of Artificial Intelligence and Digital Business, vol. 4, no. 3, pp. 7524–7528, Oct. 2025, doi: 10.31004/riggs.v4i3.3094.

V. Ramadhani and A. K. F. Yunus, “Determinan Penghasilan Becak Motor sebagai Transportasi Konvensional Perkotaan,” Jurnal Ekonomika dan Dinamika Sosial, 2025.

F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q, vol. 13, no. 3, pp. 319–339, 1989, doi: 10.2307/249008.

S. R. Natasia, Y. T. Wiranti, and A. Parastika, “Acceptance analysis of NUADU as e-learning platform using the Technology Acceptance Model (TAM) approach,” Procedia Comput Sci, vol. 197, pp. 512–520, 2022, doi: 10.1016/j.procs.2021.12.168.

A. T. To and T. H. M. Trinh, “Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment,” Cogent Business & Management, vol. 8, no. 1, Jan. 2021, doi: 10.1080/23311975.2021.1891661.

V. Chauhan, R. Yadav, and V. Choudhary, “Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption,” International Journal of Bank Marketing, vol. 37, no. 1, pp. 323–339, Feb. 2019, doi: 10.1108/IJBM-02-2018-0028.

O. T. Nguyen, “Factors Affecting the Intention to Use Digital Banking in Vietnam,” The Journal of Asian Finance, Economics and Business, vol. 7, no. 3, pp. 303–310, Mar. 2020, doi: 10.13106/jafeb.2020.vol7.no3.303.

A. Ferreira, G. M. Silva, and Á. L. Dias, “Determinants of continuance intention to use mobile self-scanning applications in retail,” International Journal of Quality & Reliability Management, vol. 40, no. 2, pp. 455–477, Jan. 2023, doi: 10.1108/IJQRM-02-2021-0032.

R. Scherer, F. Siddiq, and J. Tondeur, “The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education,” Comput Educ, vol. 128, pp. 13–35, Jan. 2019, doi: 10.1016/j.compedu.2018.09.009.

S. W. Lee, H. J. Sung, and H. M. Jeon, “Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality,” Sustainability, vol. 11, no. 11, p. 3141, Jun. 2019, doi: 10.3390/su11113141.

C. Hong, H. (Hailey) Choi, E.-K. (Cindy) Choi, and H.-W. (David) Joung, “Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic,” Journal of Hospitality and Tourism Management, vol. 48, pp. 509–518, Sep. 2021, doi: 10.1016/j.jhtm.2021.08.012.

Y. Zhao and F. Bacao, “What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?,” Int J Hosp Manag, vol. 91, p. 102683, Oct. 2020, doi: 10.1016/j.ijhm.2020.102683.

J. Hair and A. Alamer, “Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example,” Research Methods in Applied Linguistics, vol. 1, no. 3, p. 100027, Dec. 2022, doi: 10.1016/j.rmal.2022.100027.

H. M. S. Priyanath, R. RVSPK, and M. RGN, “Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review,” JOURNAL OF SOCIAL SCIENCE RESEARCH, vol. 15, pp. 102–107, Mar. 2020, doi: 10.24297/jssr.v15i.8670.

N. Kock and P. Hadaya, “Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods,” Information Systems Journal, vol. 28, no. 1, pp. 227–261, Jan. 2018, doi: 10.1111/isj.12131.

M. Koo and S.-W. Yang, “Likert-Type Scale,” Encyclopedia, vol. 5, no. 1, p. 18, Feb. 2025, doi: 10.3390/encyclopedia5010018.

M. Islam, M. Zhang, A. P. K. Kwok, H. Zeng, and Y. Li, “The Roles of Trust and Its Antecedent Variables in Healthcare Consumers’ Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China,” Healthcare, vol. 11, no. 9, p. 1232, Apr. 2023, doi: 10.3390/healthcare11091232.

M. Akbari, N. S. Amiri, M. Á. Zúñiga, H. Padash, and H. Shakiba, “Evidence for Acceptance of Ride-Hailing Services in Iran,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2674, no. 11, pp. 289–303, Nov. 2020, doi: 10.1177/0361198120942224.

E. C. Ling, I. Tussyadiah, A. Tuomi, J. Stienmetz, and A. Ioannou, “Factors influencing users’ adoption and use of conversational agents: A systematic review,” Psychol Mark, vol. 38, no. 7, pp. 1031–1051, Jul. 2021, doi: 10.1002/mar.21491.

D. Q. Nguyen-Phuoc, T. M. Truong, M. H. Nguyen, H.-G. Pham, Z.-C. Li, and O. Oviedo-Trespalacios, “What factors influence the intention to use electric motorcycles in motorcycle-dominated countries? An empirical study in Vietnam,” Transp Policy (Oxf), vol. 146, pp. 193–204, Feb. 2024, doi: 10.1016/j.tranpol.2023.11.013.

Y. Xiong, Y. Shi, Q. Pu, and N. Liu, “More trust or more risk? User acceptance of artificial intelligence virtual assistant,” Human Factors and Ergonomics in Manufacturing & Service Industries, vol. 34, no. 3, pp. 190–205, May 2024, doi: 10.1002/hfm.21020.

K. Yang, J.-G. Choi, and J. Chung, “Extending the Technology Acceptance Model (TAM) to Explore Customer’s Behavioral Intention to Use Self-Service Technologies (SSTs) in Chinese Budget Hotels,” GLOBAL BUSINESS FINANCE REVIEW, vol. 26, no. 1, pp. 79–94, Mar. 2021, doi: 10.17549/gbfr.2021.26.1.79.

Diterbitkan

02-05-2026

Cara Mengutip

[1]
M. Adhan dan K. Amar, “Analisis Pengaruh Persepsi Pelanggan Terhadap Niat Menggunakan Aplikasi Maxride”, Integrasi, vol. 11, no. 1, hlm. 26–36, Mei 2026.