Peer-to-Peer Lending untuk Pelaku Usaha di Kota Mataram: Analisis Akseptabilitas, Keamanan, dan Biaya
DOI:
https://doi.org/10.29303/jseh.v12i1.1008Keywords:
Peer-to-Peer Lending, Usage Intention, Technology Acceptance Model (TAM), Security, MSMEsAbstract
The development of financial technology (fintech), particularly Peer-to-Peer (P2P) Lending services, has improved access to financing for Micro, Small, and Medium Enterprises (MSMEs). In Mataram City, the increasing use of these services reflects the growing demand for efficient and secure financial solutions among business actors. This study aims to analyse the factors influencing the intention to use P2P Lending by applying the Technology Acceptance Model (TAM), including perceived ease of use, perceived usefulness, security, and cost. Data were collected from 212 business actors through questionnaires and analysed using PLS-SEM. The results indicate that perceived usefulness and security have a significant influence on usage intention, whereas perceived ease of use and cost do not. These findings suggest that perceived benefits and security assurance are the primary drivers of P2P Lending adoption among MSMEs.
References
Almaiah, M. A., Al-Otaibi, S., Shishakly, R., Hassan, L., Lutfi, A., Alrawad, M., Qatawneh, M., & Alghanam, O. A. (2023). Investigating the role of perceived risk, perceived security and perceived trust on smart m-banking application using SEM. Sustainability, 15(13), 9908. https://doi.org/10.3390/su15139908
Almaiah, M. A., Al-Rahmi, A., Alturise, F., Hassan, L., Lutfi, A., Alrawad, M., Alkhalaf, S., Al-Rahmi, W. M., Al-sharaieh, S., & Aldhyani, T. H. H. (2022). Investigating the effect of perceived security, perceived trust, and information quality on mobile payment usage through near-field communication (NFC) in Saudi Arabia. Electronics, 11(23), 3926. https://doi.org/10.3390/electronics11233926
Almaiah, M. A., Salloum, S. A., Al-Khasawneh, A., & Al-Otaibi, S. (2023). Investigating the acceptance of Fintech services in the context of digital transformation: Extending the technology acceptance model. Technology in Society, 73, 102–118. https://doi.org/10.1016/j.techsoc.2023.102118
Arner, D. W. (2015). The evolution of Fintech: A new post-crisis paradigm? Georgetown Journal of International Law, 47(4), 1271–1319.
Arner, D. W., Barberis, J., & Buckley, R. P. (2015). The evolution of fintech: A new post-crisis paradigm? Georgetown Journal of International Law, 47(4), 1271–1319.
Bajunaied, K., Al-Rahmi, A., Alturise, F., Hassan, L., Lutfi, A., Alrawad, M., Alkhalaf, S., Al-Rahmi, W. M., Al-sharaieh, S., & Aldhyani, T.H. H. (2023). Investigating the effect of perceived security, perceived trust, and information quality on mobile payment usage through near-field communication (NFC) in Saudi Arabia. Electronics, 11(23), 3926. https://doi.org/10.3390/electronics11233926
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
DPR RI. (2023). Isu pinjaman online: Outstanding pembiayaan, pertumbuhan, dan risiko kredit. Jakarta: Dewan Perwakilan Rakyat Republik Indonesia. Retrieved from https://berkas.dpr.go.id/pusaka/files/isu_sepekan/Isu%20Sepekan---I-PUSLIT-Juli-2023-241.pdf
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). SAGE Publications.
Hasmiana, H., & Syamsuddin, S. (2023). The influence of perceived ease of use on behavioral intention through perceived usefulness as an intervening medium in digital payment DANA. Journal of Economic Research, 3(2), 145–154.
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Kurniawan, H. (2019). Peer-to-peer lending: A new alternative for financing micro, small and medium enterprises in Indonesia. Journal of Indonesian Applied Economics, 10(2), 73–87.
Li, C., Zhang, X., & Li, Y. (2023). Perceived transaction cost and its antecedents associated with intention to use fintech. Nature Human Behaviour, 7(1), 1–9. https://doi.org/10.1038/s41599-024-03257-1
Li, Y., Xu, H., & Zhang, H. (2023). The impact of transaction costs on the adoption of digital financial services: Evidence from Chinese SMEs. Journal of Financial Services Research, 64(2), 225–245. https://doi.org/10.1007/s10693-022-00399-7
Majid, S., & Mawaddah, I. (2022). FinTech and MSMEs: The role of product knowledge. Asian Journal of Islamic Management, 4(1), 27–40. https://doi.org/10.20885/ajim.vol4.iss1.art3
Nurjannah, S., Tubastuvi, N., Purwidianti, W., & Zamakhsyari, A. (2024). Understanding the factors influencing user adoption of fintech lending. Journal of Management and Business Administration, 5(2), 112–126.
Otoritas Jasa Keuangan. (2020). Fintech lending: Definisi dan kebijakan. Jakarta: OJK.
Otoritas Jasa Keuangan. (2020). Perkembangan fintech lending di Indonesia. Jakarta: OJK.
Otoritas Jasa Keuangan. (2023). Statistik fintech lending periode Mei 2023. Jakarta: OJK. Retrieved from https://ojk.go.id/id/kanal/iknb/data-dan-statistik/fintech/Pages/Statistik-Fintech-Lending-Periode-Mei-2023.aspx
Perwitasari, R. (2022). The effect of perceived usefulness and perceived easiness towards behavioral intention to use fintech by Indonesian MSMEs. Journal of Business and Finance Research, 10(1), 25–34.
Putri, A. R., Prabowo, H., & Nugroho, L. (2023). Determinants of P2P lending adoption among Indonesian SMEs: Trust, security, and perceived benefits. Journal of Small Business and Enterprise Development, 30(1), 45–63. https://doi.org/10.1108/JSBED-03-2022-0134
Putri, G. A., Widagdo, A. K., & Setiawan, D. (2023). Analysis of financial technology acceptance of peer to peer lending (P2P lending) using extended technology acceptance model (TAM). Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100027. https://doi.org/10.1016/j.joitmc.2023.100027
Rahmiati, F., & Irawan, R. (2021). Analisis faktor yang memengaruhi minat menggunakan fintech lending pada UMKM di Indonesia. Jurnal Ekonomi dan Bisnis, 24(1), 15–26.
Randyantini, M., & Kamil, R. (2023). The effect of ease, security, and risk on community interest in using fintech P2P lending. Dinasti International Journal of Digital Business Management, 4(4), 707–717. https://doi.org/10.31933/dijdbm.v4i4
Saputra, R. A. (2021). Financial technology and SMEs development: Opportunities and challenges in Indonesia. International Journal of Economics and Business Administration, 9(2), 56–69. https://doi.org/10.35808/ijeba/680
Siagian, H., Tarigan, Z. J. H., Basana, S. R., & Basuki, R. (2022). The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform. International Journal of Data and Network Science, 6(3), 861–874. https://doi.org/10.5267/j.ijdns.2022.2.010
Siagian, H., Widjaja, A., & Santosa, A. (2022). The role of perceived security and trust in Fintech adoption: Extending the TAM model in Indonesia. Journal of Asian Finance, Economics and Business, 9(4), 201–211. https://doi.org/10.13106/jafeb.2022.vol9.no4.0201
Tech in Asia. (2025, June). Data lengkap fintech P2P lending Indonesia: Akumulasi pinjaman menembus Rp1.103,8 triliun. Retrieved from https://id.techinasia.com/data-lengkap-fintech-p2p-lending-indonesia
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Zhao, H., Zhang, X., & Li, C. (2024). In quest of perceived transaction cost's impact on fintech adoption: Evidence from Pakistan. Nature Human Behaviour, 8(1), 1–9. https://doi.org/10.1038/s41599-024-03257-1
Almaiah, M. A., Hajjej, F., Al-Khasawneh, A., Al-Otaibi, S., & Alrawashdeh, T. A. (2022). Factors influencing students’ acceptance of mobile learning applications in higher education during the COVID-19 pandemic. Education and Information Technologies, 27(3), 3401–3432. https://doi.org/10.1007/s10639-021-10784-3
Zhao, L., Wang, J., & Liu, S. (2024). Cost and security concerns in digital finance adoption: Evidence from peer-to-peer lending users. Electronic Commerce Research and Applications, 62, 101254. https://doi.org/10.1016/j.elerap.2023.101254
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 JURNAL SOSIAL EKONOMI DAN HUMANIORA

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.





