ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERSEPSI KEAMANAN DATA ONLINE DAN PRIVASI PELANGGAN PADA APLIKASI E-COMMERCE TOKOPEDIA
Abstract
Perkembangan pesat industri e-commerce menimbulkan tantangan serius terkait keamanan dan privasi data konsumen.
Tokopedia sebagai salah satu platform e-commerce terbesar di Indonesia menghadapi penurunan kepercayaan akibat
insiden kebocoran data pada tahun 2020. Penelitian ini bertujuan untuk menganalisis pengaruh enam variabel terhadap
Perception of Security and Privacy pada Tokopedia, yaitu: consumer rating, trustworthiness, credit card usage concerns,
motivation factor, customer worries, dan customer feelings.Metode penelitian menggunakan pendekatan kuantitatif
dengan penyebaran kuesioner kepada 385 responden. Data dianalisis menggunakan statistik inferensial untuk menguji
hubungan antar variabel. Hasil penelitian menunjukkan bahwa tiga variabel memiliki pengaruh signifikan terhadap
persepsi keamanan, yaitu credit card usage concerns, customer worries, dan customer feelings, dengan customer feelings
sebagai faktor paling dominan. Sementara itu, trustworthiness, consumer rating, dan motivation factor tidak berpengaruh
signifikan. Temuan ini menegaskan bahwa persepsi keamanan pengguna Tokopedia lebih banyak dipengaruhi oleh faktor
emosional dan kekhawatiran pribadi dibandingkan faktor teknis. Penelitian ini memberikan rekomendasi bagi platform ecommerce untuk memprioritaskan aspek pengalaman emosional pengguna guna membangun kepercayaan dan
meningkatkan loyalitas konsumen.
Kata Kunci- Tokopedia, persepsi keamanan, privasi data, e-commerce, kepercayaan konsumen
References
Pasaribu, B. S., Herawati, A., Utomo, K. W., & Aji, R. H. S. (2022). Metodologi Penelitian Untuk Ekonomi Dan Bisnis
(Muhaimin, Ahmad). Media Edu Pustaka. www.mediaedupustaka.co.id
Pering, I. M. A. (2020). Kajian Analisis Jalur Dengan Structural Equation Modeling (Sem) Smart-Pls 3.0. Jurnal Satyagraha
PelegrÌn-Borondo, J., Juaneda-Ayensa, E., Gonz·lez-Menorca, L., & Gonz·lez-Menorca, C. (2015). Dimensions and basic
emotions. Journal of Vacation Marketing, 21, 351–365. https://doi.org/10.1177/1356766715580869
Priliasari, E. (2023). Perlindungan Data Pribadi Konsumen Dalam Transaksi E-Commerce. Jurnal Rechts Vinding: Media
Pembinaan Hukum Nasional, 12(2). http://dx.doi.org/10.33331/rechtsvinding.v12i2.1285
Saeed, S. (2023). A Customer-Centric View of E-Commerce Security and Privacy. Applied Sciences (Switzerland), 13(2).
https://doi.org/10.3390/app13021020
Salonen, V., Munnukka, J., & Karjaluoto, H. (2020). The role of fundamental motivations in willingness-to-pay online.
Journal of Retailing and Consumer Services, 52, 101930. https://doi.org/10.1016/J.JRETCONSER.2019.101930
Saura, J. R., Ribeiro-Soriano, D., & Palacios-MarquÈs, D. (2021). From user-generated data to data-driven innovation: A
research agenda to understand user privacy in digital markets. International Journal of Information Management, 60.
https://doi.org/10.1016/j.ijinfomgt.2021.102331
Sekaran, uma, & Bougie, R. (2016). Research Methods for business. www.wileypluslearningspace.com
Setiawan, S. A. (2020, 6 Mei). 1,3 juta data bocor Bukalapak dijual di forum hacker. CNN Indonesia.
Setyosari, P. (2013). Metode Penelitian Pendidikan dan Pengembangan. Prenadamedia Group.
Shareef, M. A., Dwivedi, Y. K., Kumar, V., Davies, G., Rana, N., & Baabdullah, A. (2019). Purchase intention in an
electronic commerce environment: A trade-off between controlling measures and operational performance.
Information Technology and People, 32(6), 1345–1375. https://doi.org/10.1108/ITP-05-2018-0241
Sihombing, P. R., & Arsani, A. M. (2022). Aplikasi SmartPLS Untuk Statistisi Pemula (A. Rasyid, Ed.; 1st ed., Vol. 1). PT
Dewangga Energi Internasional. www.dewanggapublishing.com
Sirkemaa, S. J. (2019). Information Systems Management – Understanding Modular Approach. Journal of Advances in
Information Technology, 10(4), 148–151. https://doi.org/10.12720/jait.10.4.148-151
Sugiyono. (2014). Metode Penelitian Kuantitatif Kualitatif Dan R & D (19th ed.). Alfabeta, CV
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Sugiyono. (2018). Metode penelitian bisnis kuantitatif, kualitatif, kombinasi dan R&D (Cetakan ke-2). Bandung: Penerbit
Alfabeta.
Sugiyono. (2022). Tahapan Penelitian. Dalam Setiyawami (Ed.), Metode Penelitian Manajemen (hlm. 87–87). ALFABETA
Sugiyono, P. D. (2019). metode penelitian pendidikan (kuantitatif, kualitatif, kombinasi, R&D dan penelitian pendidikan).
Metode Penelitian Pendidikan, 67.
Sutarso, Y., Suminar, B., & Ilfitriah, A. M. (2024). Do shopping anxiety and data leakage risks matter to e-commerce
customers? Evidence from the largest economy in Southeast Asia. Jurnal Manajemen dan Pemasaran Jasa, 17(1),
-116. https://doi.org/10.25105/v17i1.18673
Tatam, M., Shanmugam, B., Azam, S., & Kannoorpatti, K. (2021). A review of threat modelling approaches for APT-style
attacks. Heliyon, 7(1), e05969. https://doi.org/10.1016/J.HELIYON.2021.E05969
Tran, V. D., & Nguyen, T. D. (2022). The impact of security, individuality, reputation, and consumer attitudes on purchase
intention of online shopping: The evidence in Vietnam. Cogent Psychology, 9(1).
https://doi.org/10.1080/23311908.2022.2035530
Tseng, H. T. (2023). Shaping path of trust: the role of information credibility, social support, information sharing and
perceived privacy risk in social commerce. Information Technology and People, 36(2), 683–700.
https://doi.org/10.1108/ITP-07-2021-0564
Vakulenko, Y., Shams, P., Hellstrˆm, D., & Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping
the e-customer journey. Journal of Business Research, 101, 461–468. https://doi.org/10.1016/j.jbusres.2019.01.016
Wang, S., Chen, Z., Xiao, Y., & Lin, C. (2021). Consumer Privacy Protection With the Growth of AI-Empowered Online
Shopping Based on the Evolutionary Game Model. Frontiers in Public Health, 9.
https://doi.org/10.3389/fpubh.2021.705777
Wibisono, C. (2020). Analysis of the influence of website quality to customer’s loyalty on e-commerce. International Journal
of Electronic Commerce Studies, 11(2), 83–102.
Wu, Z., Shen, S., Zhou, H., Li, H., Lu, C., & Zou, D. (2021). An effective approach for the protection of user commodity
viewing privacy in e-commerce website. Knowledge-Based Systems, 220, 106952.
https://doi.org/10.1016/J.KNOSYS.2021.106952
Xiao, J., Gong, Y., Li, J., Tang, X., Javeed, S. A., & Deng, Y. (2022). A Study on the Relationship Between Consumer
Motivations and Subjective Well-Being: A Latent Profile Analysis. Frontiers in Psychology, 13.
https://doi.org/10.3389/fpsyg.2022.938060
Y. Huang, Y. Chai, Y. Liu and J. Shen, "Architecture of next-generation e-commerce platform," in Tsinghua Science and
Technology, vol. 24, no. 1, pp. 18-29, Feb. 2019, doi: 10.26599/TST.2018.9010067
Yang, H., Luo, Y., Qiu, Y., Zou, J., Masukujjaman, M., & Ibrahim, A. M. (2023). Modeling the Enablers of Consumers' EShopping Behavior: A Multi-Analytic Approach. Sustainability (Switzerland), 15(8).



