Faktor–faktor yang mempengaruhi konsumen dalam menggunakan dan berhutang dengan kartu kredit di Jabodetabek


Nesia Ardelia
Farah Margaretha Leon


Purpose: This study discussed the factors that influence the use and debt of credit cardholders in Jakarta and surrounding areas (Jakarta, Bogor, Depok, Tangerang, Bekasi)

Research methodology: The dependent variable used in this study is the use of credit cards and debts on credit cards. This study's independent variables were demographic factors, credit card feature factors, and attitude towards money factors. The sample of this study was 333 respondents using the purposive sampling technique. The data analysis model used is Ordinary Least Square (OLS).

Results: The results showed that there were influences from demographic factors (age, income, family size), features on credit cards (credit limits), and attitudes towards money (the main payment method with credit cards, card tenure) on the use of credit cards; also, demographic factors (gender, type of work, level of education, income) and attitude towards money (minimum payment) on credit card debt. Therefore the factors that banks need to consider to increase their income, and the government for control of public expenditure, also the public to pay more attention to spending on their credit cards so that there is no accumulation of debt that cannot be paid.

Limitations: This study has several limitations of specifically only examines the people who are in Jakarta and their surroundings (Jabodetabek) and examines demographic factors, features on credit cards, and attitudes.

Contribution: This study will examine demographic factors, features on cards, and attitudes towards money by uniting variables per category into a unified category. The indicators in this study are adjusted to the community in Indonesia.

Keywords: Attitude towards money, Credit cards, Credit card features, Demographics


How to Cite
Ardelia, N., & Leon, F. M. (2021). Faktor–faktor yang mempengaruhi konsumen dalam menggunakan dan berhutang dengan kartu kredit di Jabodetabek . Jurnal Akuntansi, Keuangan, Dan Manajemen, 2(2), 83-101. https://doi.org/10.35912/jakman.v2i2.136


Basnet, H. C., & Donou-Adonsou, F. (2016). Iternet, consumer spending, and credit card balance: evidence from U.S. consumers. Review of Financial Economics, 30, 11–22.

Fauzan, M. (2017). Gaya hidup nasabah dan keputusan dalam penggunaan kartu kredit. Esensi: Jurnal Bisnis dan Manajemen, 7(2), 181–192. https://doi.org/10.15408/ess.v7i2.4987

Fogel, J., & Schneider, M. (2011). Credit card use: disposable income and employment status. Young Consumers, 12(1), 5–14. https://doi.org/10.1108/17473611111114740

Gan, C. E. C., Cohen, D. A., Hu, B., Tran, M. C., Dong, W., & Wang, A. (2016). The relationship between credit card attributes and the demographic characteristics of card users in China. International Journal of Bank Marketing, 34(7), 966–984. https://doi.org/10.1108/IJBM-09-2015-0133

Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis (8th ed.). Pearson Education Limited.

Hannah, B., & Lybecker, K. M. (2010). Determinants of recent online purchasing and the percentage of income spent online. International Business Research, 3(4), 60–71.

Khare, A., Khare, A., & Singh, S. (2012). Factors affecting credit card use in India. Asia Pacific Journal of Marketing and Logistics, 24(2), 236–256. https://doi.org/10.1108/13555851211218048

Limbu, Y. B. (2017). Credit card knowledge, social motivation, and credit card misuse among college students: Examining the information-motivation-behavioral skills model. International Journal of Bank Marketing, 35(5), 842–856. https://doi.org/10.1108/IJBM-04-2016-0045

Lin, L., Revindo, M. D., Gan, C., & Cohen, D. A. (2019). Determinants of credit card spending and debt of Chinese consumers. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-01-2018-0010

Margaretha, F. (2019). Mengelola keuangan pribadi. In Salemba Empat. Jakarta.

Pattarin, F., & Cosma, S. (2012). Psychological determinants of consumer credit: the role of attitudes. Review of Behavioral Finance, 4(2), 113–129. https://doi.org/10.1108/19405971211284899

Ponce, A., Seira, E., & Zamarripa, G. (2017). Borrowing on the wrong credit card? Evidence from Mexico. Review of Behavioral Finance, 4(2), 113–129. https://doi.org/https://doi.org/10.1108/19405971211284899

Sapitri, N., & Suprapti, N. (2014). Hubungan variabel demografi dengan perilaku pembelian impulsif yang dimoderasi kepemilikan kartu kredit di Kota Denpasar. E-Jurnal Manajemen Universitas Udayana, 3(10).

Teoh, W. M. Y., Chong, S. C., & Yong, S. M. (2013). Exploring the factors influencing credit card spending behavior among Malaysians. International Journal of Bank Marketing, 31(6), 481–500. https://doi.org/10.1108/IJBM-04-2013-0037

Wang, L., Lu, W., & Malhotra, N. K. (2011). Demographics, attitude, personality and credit card features correlate with credit card debt: a view from China. Journal of Economic Psychology, 32(1), 179–193.

Wang, L., Malhotra, N. K., & Lu, W. (2014). Determinants of credit card debt: differentiating between revolving credit debt and petty instalment loan in China. Journal of Consumer Behaviour, 13(4), 294–302. https://doi.org/doi: 10.1002/cb.1474