Kajian Faktor Yang Memengaruhi Adopsi Sistem Pijaman Peer To Peer Lending


  • Nugraha Bagoes Soegesty Sekolah Bisnis, Institut Pertanian Bogor
  • Idqan Fahmi Sekolah Bisnis, Institut Pertanian Bogor
  • Tanti Novianti Sekolah Bisnis, Institut Pertanian Bogor




UMKM, UTAUT2, P2P lending, dan Structural Equational Modeling (SEM)


Abstract. Medium, Small, Micro Entrprices (MSME) have a big role to play in the economy in Indonesia. Kemenkop UMKM (2017) states that as many as 80.9% of micro businesses in Indonesia do not yet have access to bank financing. One way to overcome barriers to MSME lending is through financial technology interventions through peer-to-peer lending (P2P lending) financing. The purpose of this study is to analyze the factors influencing MSME intention and behavior to use P2P lending services using the UTAUT2 analysis model (Venkantesh et al. 2012) with Structural Equational Modeling (SEM) analysis tools. The results of this study indicate that there are four variables that strongly and positively influence the intention to use P2P lending services among MSMEs, namely hedonic motivation, social influence, effort expectation, and performance expectancy. Then the results of this study also show that the behavior of using P2P lending services is strongly and positively influenced by gorenment regulation, risk perception, and behavioral intention.

Keywords: MSME, P2P lending, Structural Equation Modeling (SEM), and UTAUT2

Abstrak. UMKM memiliki peran yang besar terhadap perekonomian di Negara Indonesia. Kemenkop UMKM (2017) menyatakan bahwa sebanyak 80.9% usaha mikro di Indonesia belum mendapatkan akses pembiayaan perbankan. Salah satu cara untuk menyelesaikan hambatan penyaluran kredit UMKM adalah melalui intervensi teknologi finansial melalui pembiayaan `peer-to-peer lending (P2P lending). Tujuan dari penelitian ini adalah menganalisis faktor-faktor mempengaruhi niat dan perilaku UMKM untuk menggunakan layanan P2P lending dengan menggunakan model analisis UTAUT2 (Venkantesh et al. 2012) dengan alat analisis Structural Equational Modeling (SEM). Hasil dari penelitian ini menunjukkan bahwa terdapat empat variabel yang secara signifikan memengaruhi niat penggunaan layanan P2P lending dikalangan UMKM yaitu hedonic motivation, social influence, effort expectacy, dan performance expectancy. Kemudian hasil penelitian ini juga menunjukkan bahwa perilaku penggunaan layanan P2P lending dipengaruhi secara signifikan oleh gorenment regulation, risk perception, dan behavioral intention..

Kata kunci: P2P lending, Structural Equational Modeling (SEM), UMKM, dan UTAUT2


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AbuShanab, E., & Pearson, J. M. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and Information Technology, 9(1), 78-97.
Adiningsih, S. (2001). Regulasi dalam revitalisasi usaha kecil dan menengah di Indonesia.( adi ningsih.pdf). diakses pada tanggal 7 April 2015
Adam, I.O., & Musah, A. (2015). Small and medium enterprises (smes) in the cloud in developing countries: a synthesis of the literature and future research directions, Journal of Management and Sustainability, 5(1).
Arner, D.W., Barberis, J.N., & Buckley, R.P. (2015). The Evolution of Fintech: A New Post-Crisis Paradigm?(October 1, 2015). University of Hong Kong Faculty of Law Research Paper No. 2015/047; UNSW Law Research Paper No. 2016-62. doi: 10.2139/ssrn.2676553
Ajzen, I., & Fishbein, M. (1977). Attitude behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918.
(APJII) Asosiasi Penyelenggara Jasa Internet Indonesia. (2017). Info grafis penetrasi dan perilaku pengguna internet Indonesia. APJII. Jakarta.
Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: perceptions and intentions. Marketing intelligence & planning. - Bingley : Emerald Group Publishing Limited, ISSN 0263-4503, ZDB-ID 83207-8. - 30(4), 444-459
Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., Lal, B., & Williams, M.D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20, 145-157.
Alalwan, A.A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management 37(3), 99-110.
Al Mansoori KA. (2017). Use of a modified UT Use of a modified UTAUT model t UT model to investigate Emir estigate Emirati Citiz ati Citizens' adoption of e-Government in Abu Dhabi. [Tesis]. Dubai (EU). University of Wollongong
Alrawashdeh TA. (2011). The extended utaut acceptance model of computer-based distance training system among public sector's employees in jordan. [Tesis]. Sintok: (MY). Universiti of Utara Malaysia
Al-Qeisi KI. (2009). Analyzing the use of utaut model in explaining an online behaviour: internet banking adoption. [Disertasi]. Swiss [SZ]. Brunel University
Asmy. (2019). Factors affecting investors' intention to invest in a peer-to-peer lending platform in Malaysia: an extended technology acceptance model. ADBInstitute. 5 (2).
Akbar F. (2013). What affect student's acceptance and use of technology. [Tesis]. Swiss [SZ]. Carnegie Mellon University
(BI) Bank Indonesia. (2017). Peraturan Bank Indonesia Nomor 19/12/PBI/2017 Tentang Penyelenggaraan Teknologi Financial. BI
Baraghani, S.N. (2007). Factors influencing the adoption of internet banking, [Tesis]. Sweden [SW]. Lulea University of Technology Lulea.
Baron, R.A., & Byrne, D. (2005). Psikologi sosial. Edisi kesepuluh: jilid 2. Jakarta: Erlangga.
Brünink L. (2016). Cross-functional big data integration: applying the utaut Model. [Tesis]. Finland [Fl]. University of Twente
Cabanillas LF, Fernández SJ, Leiva MF. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age”, Computers in Human Behavior, 35, 464-478
Carney, M. (2017). “The promise of fintech – something new under the sun?”, speech at the deutsche bundesbank g20 conference on digitising finance, financial inclusion and financial literacy, wiesbaden, marketing intelligence & planning, 8(4), 44-59.
Chen, L.D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
Cholifaturrosida, A.P., Mawardi, M.K., Bafadhal, A.S. (2018). Pengaruh hedonic dan utilitarian motivation terhadap behavioral intention pada pemilihan tas mewah (survei online terhadap konsumen wanita yang membeli tas mewah pada store urban icon di surabaya), Jurnal Administrasi Bisnis (JAB) 55(2 ; Februari), 84-92.
Compeau, D.R., & Higgins, C.A. (1991). A social cognitive theory perspective on individual reactions to computing technology. ICIS Proceedings. https://aisel.aisnet.org/icis1991/55
Davis, F.D., Bagozzi , R.P., & Warshaw, P.R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22 (14), 1111-1132.
Davis F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
Debertin, D.L. (1986). Agricultural production economics. Macmillan Publishing Company. New York.
Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems, 17(1), 4–11.
Dzulhaida R., & Windya, G.R.R. (2017). Analisis minat masyarakat terhadap penggunaan layanan e-money di indonesia dengan menggunakan model modifikasi unified theory of acceptance and use technology 2 (utaut 2). Jurnal Majalah Ilmiah Unikom, 15(2), 155-166.
Elvira, A., & Ragil, M.K. (2016). Adopsi teknologi belanja online oleh konsumen umkm dengan model unified theory of acceptance and use of technology 2. Creative Research Journal. 02 (01), 19-38.
Ervasti, M.A. (2007). 'The development of mobile service concepts ‐ technologies, adoption and use'. [Tesis]. University of Oulu, Department of Electrical and Information Engineering, Finland.
(FSB) Financial Stability Board. (2017). Fintech credit: market structure, business models and financial stability implications. New York
Gandawati, T.,S. (2010). Analisis Proses adopsi electronic payment system dengan menggunakan UTAUT Model (studi pada sistem pembayaran online kaspay di kaskus). [Tesis]. Universitas Gunadarma.
Garvey, K., Keiran, A., & MacMill, J. (2017). Cultivating growth the 2nd asia pacific region alternative finance industry report. Cambridge University. United Kingdom.
Gilmore, A., Elisabeth, N., Lujala P, Gleditsch NP, Rød JK. (2005). The data codebook. Prior. Oslo, Norway
Gefen, D., Karahanna, E., & Straub, D. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51-90. doi:10.2307/30036519
Greiner, M.E, & Wang, H. (2009). The Role of Social Capital in People-to-People Lending Marketplaces. Thirtieth International Conference on Information Systems. Phoenix: Association for Information Systems. California
Gupta, K.K., & Bansal, I. (2012). Development of an instrument to measure internet banking service quality in India. Journal of Arts, Science & Commerce, 3(2), 11-25.
Hadi, S. (1991). Analisis Butir untuk Instrumen Angket, Tes, dan Skala Nilai. Yogyakarta: FP UGM.
Haemoon, O. (2000). Revisiting importance–performance analysis. Tourism Management, 22(6,December), 617-627.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson R.E. (2010). Multivariate Data Analysis (7th Edition). NJ: Prentice Hall
Huang, Y., & Liu, W. (2012). The impact of privacy concern on users' use intention of mobile payment. 2012 International Conference on Information Management, Innovation Management & Industrial Engineering. 20-21.
Husnan, S. (2005). Dasar-dasar teori portofolio dan analisis sekuritas. UPP AMP YKPN, Yogyakarta.
Hsueh, S.C., & Kuo, C.H. (2017). Effective matching for p2p lending by mining strong association rules. in proceedings of the 3rd international conference on industrial and business engineering. ICIBE (pp. 30–33).
Hanafizadeh, P., Keating, B.W, Khedmatgozar H.R. (2014). A Systematic Review Of Internet Banking Adoption. Telematics and Informatics, 31(3), 492-510
Hong, S., Kang, M.S., & Ing, I. (2011). An international comparison of technology adoption: Testing the UTAUT model. Journal Information and Management, 48(1), 1–8.
Johnson, L.F., Levine, A., Smith, R.S., & Haywood, K. (2010). Key emerging technologies for elementary and secondary education. Tech Directions, 70(3), 33- 34.
Jogiyanto. (2007). Sistem informasi keperilakuan. Edisi Revisi. Yogyakarta: Andi Offset
Kesharwani A, Singh BS. (2012). The impact of trust and perceived risk on internet banking adoption in india. International Journal of Bank Marketing, 30, 303–322.
Kusnanto, K., & Assegaff, S. (2016). Analisis perilaku penerimaan edmodo pada perkuliahan dengan model UTAUT. Jurnal Nasional Teknologi dan Sistem Informasi, 2. 34-42
Lewis, K.N., Palmer, M.M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554.
Lopez S, Pao SYA, Bhattacharyya R. (2008). The effect of social interactions on p2p lending. Journal of Business Management and Accounting. 5(2). 181-192
Lawrence. R. J. (1980). Marketing. Department of Marketing, University of Lancaster, Bailrigg, Lancaster, England.
Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40, 5604-5620.
Li, R. (2018). Investigating students' perspectives on Blackboard: An integration of UTAUT and IS success model. [Tesis]. Netherland [NED]. University of Amsterdam
Limayem, M, Hirt, S.G. , Cheung, Christy MK. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, (31: 4).705-737.
Luckandi. D. (2018). Analisis transaksi pembayaran menggunakan fintech pada umkm di Indonesia: Pendekatan Adaptive Structuration Theory. [Tesis]. Universitas Islam Indonesia
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.
Magee J. 2011. Peer-to-peer lending in the United States: surviving after DoddFrank. North Carolina Banking Institue J, 139–174.
Mallat, N., Rossi, M, Tuunainen, V.K., & Oorni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & Management, 46(3), 190–195.
Mazen E. Tarhini A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development. 8, 23-40
Moore, Gary C dan Izat Banbazat (1991) Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Canada. The Institute Management Science.
Morosan, C., & DeFranco, A. (2016). It's about time: Revisiting UTAUT2 to examine consumers' intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17–29.
Mowen, J. C.(2012). Prilaku Konsumen. Erlangga. Jakarta.
Nugroho, M. A, Susilo, A. Z, M. Fajar A. Rahmawati, D. (2010). Faktor-Faktor Yang Memengaruhi Niat Menggunakan Mobile payment Dengan Pendekatan Extended The Unified Theory of Acceptance and Use of Technology. Jurnal Teknik Elektro dan Teknologi Informasi, FT UGM. 2085-6350
Nizar, M. A. (2017). Teknologi Keuangan (Fintech) : Konsep Dan Implementasinya Di Indonesia. Kementrian Keuangan Republik Indonesia. Jakarta
Otoritas Jasa Keuangan (2017). Strategi perlindungan konsumen keuangan. Jakarta.
Oliveira, T., Thomas, M., Baptista, G. and Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
Peng, R., Xiong, L. & Yang, Z. (2012). Exploring tourist adoption of tourism mobilepayment: An empirical analysis. Journal of Theoretical & Applied Electronic Commerce Research, 7(1), 21-33.
Pertiwi, N.W.D.M.Y., & Ariyanto, D. (2017). Penerapan model UTAUT2 untuk menjelaskan minat dan perilaku penggunaan mobile banking di kota Denpasar, E-Jurnal Akuntansi, 18(2), 1369–1397.
Püschel, J., Mazzon, J.A., Jose, M.C, Hernandez, M. (2010). Mobile banking: proposition of an integrated adoption intention framework. Journal of International Business and Management. 28(5):389-409.
Putra, G. & Maya, A. (2013). Pengaruh faktor-faktor dalam modified unified theory of acceptance and use of technology 2 (UTAUT 2) terhadap niat prospective users untuk mengadopsi home digital services PT. Telkom di Surabaya. Universitas Telkom. Jurnal Manajemen Indonesia, 12: 4.
Sedana, I.G.N., & Wijaya, S.W. (2010). Utaut model for understanding learning management system. universitas sanata dharma. Internetworking indonesia journal, 2(2), 27-32.
Schiffman, L.G., & Kanuk, L.L. (2010). Consumer behaviour (10th ed). New Jersey, Pearson Prentice Hall
Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet.Computers in Human Behavior, 25(6), 1343–1354.
Silinskyte, J., (2014). Undestanding bitcoin adoption; UTAUT Aplication. [Tesis]. Leiden Univesity. Netherland
Sikdar, P,. Kumar, A,. Makkad, M. (2015). Online Banking Adoption: A Factor Validation and Satisfaction Causation Study in the Context of Indian Banking Customers. Int. J. Bank Mark. 2015, 33, 760–785.
Simon, M; Pranowo; Suyoto. (2016). Exploring Mobile Wallet Adoption In Indonesia Using UTAUT2: An Approach From Consumer Perspective. International Conference on Science and Technology-Computer (ICST). 45. 133-156
Skinner, B.F (1987). Whatever Happened to Psychology as the Science of Behavior? American Psychologist. 42(8), August 1987, 780–786.
Suryani, T. (2008). Perilaku konsumen : implikasi pada strategi pemasaran. Graha Ilmu. Yogyakarta
Sugiyono. (2010). Metode penelitian kuantitatif, kualitatif dan R & D. Bandung: Alfabeta.
Sugiyono (2013). Metode penelitian bisnis. Bandung: Alfabeta.
Santoso, Singgih. (2007). Structural equation modelling konsep dan aplikasi dengan AMOS, PT Elexmedia Komputindo, Jakarta
Shahzad, F., Xiu, G., Wang, J., and Shahbaz, M. (2018). "An Empirical Investigation on the Adoption of Cryptocurrencies among the People of Mainland China," Technology in Society (55), pp. 33-40.
Sutanto, I. G, Rr. Sri Handayani. (2018). Faktor-faktor yang memengaruhi penerimaan dan penggunaan sistem informasi pengelolaan keuangan daerah (sipkd) dalam perspektif the unified theory of acceptance and use of technology 2 (utaut 2) di kabupaten semarang. Universitas Diponegoro. Jurnal Akuntansi Dan Auditing. 15 (1): 37-68.
Slade, E. L., Williams, M., & Dwivdei, Y. (2013). Extending UTAUT2 to explore consumer adoption of mobile payments. UK Academy for Information Systems Conference Proceedings, 36.
Sun, Q., Cao, H., & You, J. (2010). Factor influencing the adoption of mobile service in china: an integration of tam. Journal of computers, 5(5), 799-806.
Tan, M., & Teo, T. S. H. (2012). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(1).
Taylor, S., & Todd, P. (1995). An integrated model of waste management behavior: A test of household recycling and composting intentions. Environment and Behavior, 27(5), 603-630.
Teo, T., & Noyes, J. (2012). Explaining the intention to use technology among pre-service teachers: A multi-group analysis of the Unified Theory of Acceptance and Use of Technology. Interactive Learning Environments, 2(1), 51-66.
Thong J. Y. L., Hong, S. J., & Tam, K. Y. (2006). The Effects of Post-Adoption Beliefs on the Expectation–Confirmation Model for Information Technology Continuance. International Journal of Human-Computer Studies ,64(9), 799-810.
Thompson R.L, Higgins C.A & Howell J.M. (1991). Personal computing toward a conceptual model of utilization, MIS Quarterly, 15(1), 125-143.
Triandis, H.C. (1980). Values, attitudes, and interpersonal behavior. Nebraska Symposium on Motivation, University of Nebraska Press.
Venkatesh, V., Thong, J.Y.L., & Xu, X. (2016). Unified theory of acceptance and use of technology: a synthesis and the road ahead. Journalof the Association for Information Systems, 17, 328 – 376
Venkatesh, V., Thong, J.Y.L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly , 36(1).
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly (27:3)
Venkatesh, V., & Davis, F. D. (2000). “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science.
Wan, S. (2018). Factors impacting the uptake of mobile banking in China: Integrating UTAUT, TTF and ECM Models. [Tesis]. University of Manchester.
Wibowo, A. (2006). Kajian tentangperilaku pengguna sistem informasi dengan pendekatan technology acceptance model (TAM) [Tesis]. Program Studi Sistem Informasi, Fakultas Teknologi Infomasi Universitas Budi Luhur,
Yang, S., Lu, Y., Gupta, S., Cao, Y. & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioural beliefs, social influences, and personal traits. Computers in Human Behaviour, 28(1), 129-142.
Yu, C-S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model [Tesis]. Journal of Electronic Commerce Research, 13(2), 104-121.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22.
Zhou, T., Lu, Y. B., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26 (4), 760-767.
Zhongqing H, Shuai Ding, Shizheng Li, & Luting Chen. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry. 11(3), 340.








How to Cite

Soegesty, N. B., Fahmi, I., & Novianti, T. (2020). Kajian Faktor Yang Memengaruhi Adopsi Sistem Pijaman Peer To Peer Lending. Jurnal Manajemen Teknologi, 19(1), 59–79. https://doi.org/10.12695/jmt.2020.19.1.4