Perilaku Investasi Bitcoin Sebagai Cryptocurrency Pada Generasi Z Di Jakarta
Abstrak
Penelitian ini menelaah faktor–faktor yang memengaruhi niat berinvestasi Bitcoin pada Generasi Z di Jakarta, dengan
menitikberatkan pada technology awareness, perceived usefulness, perceived ease of use, perceived risk, serta peran
moderasi government support. Kuesioner daring disebarkan melalui media sosial dan komunitas investor,
menghasilkan 385 responden berusia 18–25 tahun. Data dikumpulkan selama periode April–Mei 2025 dan diuji
validitas serta reliabilitasnya (Cronbach’s α > 0,70), kemudian dianalisis dengan Structural Equation Modeling (SEM).
Hasil analisis mediasi menunjukkan bahwa perceived usefulness dan perceived ease of use sebagian memediasi
pengaruh technology awareness terhadap behavioral intention investasi. Technology awareness juga secara langsung
menurunkan perceived risk, yang turut berkontribusi pada niat investasi. Sementara itu, government support hanya
memperkuat jalur perceived usefulness → behavioral intention, sedangkan efek moderasi pada jalur perceived ease of
use dan perceived risk tidak signifikan. Temuan ini memperluas Model TAM dengan mediasi dan moderasi
kontekstual, serta merekomendasikan peningkatan literasi teknologi, penyederhanaan platform, dan regulasi proaktif
untuk memperkuat kepercayaan investor muda.
Kata Kunci- bitcoin, generasi Z, technology acceptance model, investasi digital, behavioral intention
Referensi
Indrawati. (2015). Metode Penelitian Manajemen dan Bisnis: Konvergensi Teknologi Komunikasi dan Informasi (D.
Sumayyah, Ed.). PT Refika Aditama.
Indrawati. (2017). Perilaku Konsumen Individu. Refika Aditama.
Islam, H., Rana, M., Saha, S., Khatun, T., Ritu, M. R., & Islam, M. R. (2023). Factors influencing the adoption of
cryptocurrency in Bangladesh: an investigation using the technology acceptance model (TAM). Technological
Sustainability, 2(4), 423–443. https://doi.org/10.1108/TECHS-07-2023-0025
Jariyapan, P., Mattayaphutron, S., Gillani, S. N., & Shafique, O. (2022). Factors Influencing the Behavioural Intention
to Use Cryptocurrency in Emerging Economies During the COVID-19 Pandemic: Based on Technology
Acceptance Model 3, Perceived Risk, and Financial Literacy. Frontiers in Psychology, 12.
https://doi.org/10.3389/fpsyg.2021.814087
Judijanto, L., Destiana, R., Sudarmanto, E., Suprapti, I. A. P., & Harsono, I. (2024). Analisis Pengaruh Adopsi
Teknologi Finansial, Kepercayaan Nasabah, dan Regulasi Terhadap Penggunaan Layanan Keuangan Digital.
Jurnal Akuntansi Dan Keuangan West Science, 3(01), 20–28. https://doi.org/10.58812/jakws.v3i01.906
Jusuf, D. I., & Munandar, D. R. (2021). The Effect of Consumers’ Behavior and Perceived Risk on Purchase Decisions
Among Online Shop Consumers. Trikonomika, 20(2), 90–96. https://doi.org/10.23969/trikonomika.v20i2.4980
Kanaan, R. K., & Masa’deh, R. (2018). Increasing Citizen Engagement and Participation Through eGovernment in
Jordan. Modern Applied Science, 12(11), 351. https://doi.org/10.5539/mas.v12n11p351
Kotler, P., Armstrong, G., & Balasubramanian, S. (2023). Principles of Marketing (19th ed.). Pearson.
Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson.
Marikyan, D., & Papagiannidis, S. (2023). Technology Acceptance Model. https://open.ncl.ac.uk
Oktavendi, T. W., & Arisanti, I. (2021). How to Build Continuance Intention on Jenius App Users. Tijab (The
International Journal of Applied Business), 5(2), 155. https://doi.org/10.20473/tijab.v5.i2.2021.29776
Pelaez, A., Chen, C.-W., & Chen, Y. X. (2017). Effects of Perceived Risk on Intention to Purchase: A Meta-Analysis.
Journal of Computer Information Systems, 59(1), 73–84. https://doi.org/10.1080/08874417.2017.1300514
Peng, M. Y., & Lin, K. (2019). The Study of Customer’s E-Commerce Adoption Behavior in Different Countries: A
Technology Acceptance Model View. International Journal of E-Education E-Business E-Management and ELearning, 9(3), 235–242. https://doi.org/10.17706/ijeeee.2019.9.3.235-242
Priyashantha, K. G., & Dilhani, V. I. (2022). Determinants of E-Government Adoption: A Systematic Literature
Review. Kelaniya Journal of Human Resource Management, 17(1), 105–126.
https://doi.org/10.4038/kjhrm.v17i1.107
Putra, S. A., & Trisnawati, R. (2023). Analysis of Factors Influencing Students’ Interest in Investing in the Capital
Market (Empirical Study on Students in Wonogiri Regency from 2018 to 2022). In International Journal of
Latest Research in Humanities and Social Science. www.ijlrhss.com
Putri, F. F. E., & Very, J. (2025). YUME : Journal of Management Extending the Technology Acceptance Model
(TAM) in E-Commerce: The Impact of AI Awareness, Usability, and Trust on Shopee Adoption. In YUME :
Journal of Management (Vol. 8, Issue 2).
Rahardja, U., Chen, S. C., Lin, Y. C., Tsai, T. C., Aini, Q., Khan, A., Oganda, F. P., Dewi, E. R., Cho, Y. C., & Hsu,
C. H. (2023). Evaluating the Mediating Mechanism of Perceived Trust and Risk toward Cryptocurrency: An
Empirical Research. SAGE Open, 13(4). https://doi.org/10.1177/21582440231217854
Rahmad, R., Sabri, S., & Nasfi, N. (2020). Pengaruh Faktor Pribadi, Organisasi Dan Non Organisasi Terhadap
Komitmen Organisasi Karyawan Pada Pt. PLN Area Bukittinggi. Jurnal Apresiasi Ekonomi, 8(1), 142–152.
https://doi.org/10.31846/jae.v8i1.273
Ramya, N., & Mohamed Ali, S. A. (2016). Factors affecting consumer buying behavior. 2(10), 76–80.
www.allresearchjournal.com
Rizal, N. A., & Damayanti, M. K. (2019). HERDING BEHAVIOR IN THE INDONESIAN ISLAMIC STOCK
MARKET. Journal of Islamic Monetary Economics and Finance, 5(3), 673–690.
https://doi.org/10.21098/jimf.v5i3.1079
Roger D. Blackwell, P., W. Miniard, & James F. Engel. (2012). Consumer Behavior. 639.
Rogers, E. m>. (2003). Diffusion of Innovations, 5th Edition (5th ed.). Simon and Schuster.
Rulangaranga, D. M., Basemera, M., & Isoh, A. V. N. (2020). Structure of Government Support and Sustainability of
SMEs in Uganda. Business Management and Strategy, 11(1), 262. https://doi.org/10.5296/bms.v11i1.17103 Sagheer, N., Khan, K. I., Fahd, S., Mahmood, S., Rashid, T., & Jamil, H. (2022). Factors Affecting Adaptability of
Cryptocurrency: An Application of Technology Acceptance Model. Frontiers in Psychology, 13.
https://doi.org/10.3389/fpsyg.2022.903473
Santoso, W., Sitorus, P. M., Batunanggar, S., Krisanti, F. T., Anggadwita, G., & Alamsyah, A. (2020). Talent mapping:
a strategic approach toward digitalization initiatives in the banking and financial technology (FinTech) industry
in Indonesia. Journal of Science and Technology Policy Management, 12(3), 399–420.
https://doi.org/10.1108/JSTPM-04-2020-0075
Schiffman, L. G., Hansen, H., & Kanuk, L. L. (2008). Consumer Behaviour: A European Outlook. Prentice
Hall/Financial Times.
Schiffman, L. G., & Wisenblit, J. (2018). Consumer Behavior (12th ed.). Pearson.
Setyanta, B., & Kadi, D. C. A. (2020). The Effect Of Perceived Ease of Use, Investment Knowledge, And Perceived
Risk On Intentions to Purchase of Share in Generation Y. AMAR (Andalas Management Review), 4(2), 60–72.
https://doi.org/10.25077/amar.4.2.60-72.2020
Shahzad, M. F., Xu, S., Lim, W. M., Hasnain, M. F., & Nusrat, S. (2024). Cryptocurrency awareness, acceptance, and
adoption: the role of trust as a cornerstone. Humanities and Social Sciences Communications, 11(1).
https://doi.org/10.1057/s41599-023-02528-7
Sharma, A., Panse, C., Gupta, N., Dawar, S., Kudal, P., & Sharma, M. (2024). Adoption of Cryptocurrency in India:
An Extended Technology Adoption Model. International Journal of Safety and Security Engineering, 14(6),
–1816. https://doi.org/10.18280/ijsse.140615
Sholihin, M., & Ratmono, D. (2021). Analisis SEM-PLS dengan warpPLS 7.0 untuk hubungan Non-linier dalam
Penelitian Sosial dan Bisnis .
Sirdar, K. K., & Anitha, S. (2025). Trust, Financial Literacy, and Perceived Ease of Use as Drivers of Investment
Intention in Indian Fintech. In Journal of Informatics Education and Research (Vol. 5). http://jier.org
Solomon, M. R. ., & Russell, C. Antonia. (2024). Consumer behavior : buying, having, and being. Pearson.
Steffi, M. (2023). Pengaruh Brand Ambassador, Social Influence, Dan Sales Promotion Terhadap Intensi Pembelian
Produk Perawatan Kecantikan Lokal. Jurnal Manajemen Bisnis Dan Kewirausahaan, 7(5), 1048–1057.
https://doi.org/10.24912/jmbk.v7i5.26505
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Wang, E., & Lin, R.-L. (2016). Perceived Quality Factors of Location-Based Apps on Trust, Perceived Privacy Risk,
and Continuous Usage Intention. Behaviour and Information Technology, 1–9.
https://doi.org/10.1080/0144929x.2016.1143033
Waspada, I., Salim, D. F., & Krisnawati, A. (2023). Horizon of cryptocurrency before vs during COVID-19.
Investment Management and Financial Innovations, 20(1), 14–25. https://doi.org/10.21511/imfi.20(1).2023.02
Wicaksono, A., & Maharani, A. (2020). The Effect of Perceived Usefulness and Perceived Ease of Use on the
Technology Acceptance Model to Use Online Travel Agency. Journal of Business Management Review, 1(5),
–328. https://doi.org/10.47153/jbmr15.502020
Zamoras, J. M. J., Dalumpines, S. S., & Refugio, J. G. (2024). Cryptocurrency Investment Risks and Perceived
Usefulness: Basis of Cryptocurrency Risk Management Plan. Journal of Governance Risk Management
Compliance and Sustainability, 4(1), 72–88. https://doi.org/10.31098/jgrcs.v4i1.2295
Zeifl, C., Schaschek, M., Straub, L., Tomitza, C., & Winkelmann, A. (2024). Re-intermediation of the crypto asset
ecosystem by banks: An empirical study on acceptance drivers among the populace. Electronic Markets, 34(1).
https://doi.org/10.1007/s12525-024-00720-4
Zhang, B., Ali, K., & Kanesan, T. (2022). A Model of Extended Technology Acceptance for Behavioral Intention
Toward EVs With Gender as a Moderator. Frontiers in Psychology, 13.



