Facilitating Conditions and Social Influence on Zakat Payment Intention via QRIS: The Moderating Effect of Age at Baitul Mal Aceh

Authors

  • Fahri Zuan Ariga Sinaga Universitas Syiah Kuala
  • Ridwan Nurdin Universitas Syiah Kuala
  • Eka Nurlina Universitas Syiah Kuala

DOI:

https://doi.org/10.47663/ibec.v4i1.340

Keywords:

Age Moderation; Behavior Intention; Digital Zakat; Facilitating Condition; Social Influence; UTAUT; QRIS.

Abstract

This research examines how facilitating conditions and social influence affect individuals’ intentions to pay zakat via the QRIS platform, with age considered as a moderating variable in the setting of Baitul Mal Aceh. Anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT), the study identifies the main factors driving the adoption of digital zakat payments. A quantitative approach was employed, using purposive sampling to gather data from 120 respondents. The dataset was analyzed through Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) technique. Results show that both facilitating conditions and social influence have a significant and positive effect on the behavioral intention to adopt QRIS for zakat payments. Moreover, age functions as a moderator: younger participants are more responsive to facilitating conditions, whereas older individuals are more influenced by social pressure. These insights emphasize that successful implementation of QRIS in zakat collection depends on the interaction of enabling infrastructure, social dynamics, and generational differences factors that zakat management institutions should account for in policy and practice.

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References

Afandi, M. Y. (2023). Analyzing the Impact of Digital Transformation in Islamic Philanthropy using Utaut Model. Afkaruna: Indonesian Interdisciplinary Journal of Islamic Studies, 19(2), 317–337.

Baitul Mal Aceh. (2024). QRIS Jadi Andalan, BMA Raup Rp 69 Juta Zakat & Infak dalam 11 Bulan.

Bank Indonesia. (2024). Quick Response Code Indonesian Standard (QRIS). Bank Indonesia.

Cahyani, U. E., Sari, D. P., & Afandi, A. (2022). Determinant of Behavior Intention to Use Digital Zakat Payment: The Moderating Role of Knowledge of Zakat. Jurnal Zakat Dan Wakaf, 9(1), 1.

Farid, D., Pakarti, M. H. A., Fathiah, I., & Hendriana. (2023). Pengaruh Zakat Digital Terhadap Pengentasan Kemiskinan Di Era Digital. Jurnal Sharia Economica, 2(2), 1–11. https://doi.org/10.46773/jse.v2i2.679

Ghozali, I. (2015). Partial Least Squares, Konsep, Teknik, dan Aplikasi Menggunakan Program SmartPLS 3.2.9 untuk peneliti. In Universitas Diponegoro (2nd ed., Vol. 3). Universitas Diponegoro.

Hafizah, H., & Muhaimin. (2023). Dampak Digitalisasi Pembayaran Zakat Terhadap Peningkatan Penerimaan Zakat pada Baznas Kota Banjarmasin. Al Qalam: Jurnal Ilmiah Keagamaan Dan Kemasyarakatan, 17(5), 3549.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2014). Pearson new international edition. Multivariate data analysis, Seventh Edition. Pearson Education Limited Harlow, Essex.

Jalili, A., Umar, H., & Harun, H. (2022). Zakat dan Keadilan Ekonomi Perspektif Islam, Kapitalisme, dan Sosialisme. Jurnal Ekonomi Dan Hukum Islam, 6(1), 1–10. https://doi.org/10.35316/istidlal.v6i1.388

Kasri, R. A., & Sosianti, M. W. (2023). Determinants of the Intention To Pay Zakat Online: The Case of Indonesia. Journal of Islamic Monetary Economics and Finance, 9(2), 275–294.

Khameswara, S., & Pratama, R. (2023). Analysis of Intention to Use Factors using Quick Response Code Indonesia Standard (QRIS) in Indonesia. Sahid Business Journal, 3(1), 1–16.

Luntajo, M. M. R., & Hasan, F. (2023). Optimalisasi Potensi Pengelolaan Zakat di Indonesia melalui Integrasi Teknologi. Al-’Aqdu: Journal of Islamic Economics Law, 3(1), 14. https://doi.org/10.30984/ajiel.v3i1.2577

Muliana, & Syahbudi, M. (2022). Analisis Penghimpunan Dana ZIS ( Zakat Infaq Sedekah ) Berbasis Digital Studi Kasus ( LAZNAS Nurul Hayat Cabang Medan ). Jurnal Pendidikan, Sosial Dan Humaniora, 1(6), 654–661.

Prakoso, A. B., Saputra, M. reza, & Fahriyadi, M. S. (2023). Kajian Literatur: Manajemen Zakat di Era Digital. Jurnal Religion: Jurnal Agama, Sosial, Dan Budaya, 1(5), 327–335.

Prihatiningsih, D., Huzaini, M., & Hidayat, A. A. (2023). Factors Affecting Interest in Use Qris Bsi on Generation Z Muslims in West Nusa Tenggara Province. International Journal of Social Science and Human Research, 6(10), 5920–5930.

Rahman, S., & Lasena, R. (2024). Digital Filantropi Islam : Implementasi QRIS untuk Pengumpulan ZIS di Masjid Kota Gorontalo. Journal of Principles Management and Bussines, 03(02), 111–121.

Rahmawati, M., & Nurdin, R. (2024). The Effect Of Performance Expectations, Effort Expectations, Facilitating Condition And Social Influence On Behavior Intention To Pay Zakat Through The Qris Digital Platform In Baitul Mal Aceh. International Journal of Kita Kreatif, 1(4), 176–186.

Rayyani, W. O., Azizah, S., Muchran, M., Soraya, Z., Sari, A., & Insani, N. (2024). Applying the UTAUT Model to ZIS Digital Payments: Insights from Southeast Asia. Review of Integrative Business & Economics Research, 13(4), 243–261.

Sakinah, N., & Thamrin, H. (2021). Pengelolaan Dana Zakat untuk Pembiayaan Pendidikan Anak Dhuafa (Studi Kasus Pada BAZNAS Kabupaten Kepulauan Meranti). Jurnal Tabarru’: Islamic Banking and Finance, 4(1), 13–25.

Sarstedt, M., Henseler, J., & Ringle, C. M. (2014). Multi-group analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 24(1), 195–218.

Setyorini, A., & Meiranto, W. (2021). Analisis Faktor-Faktor yang Memengaruhi Penerimaan dan Penggunaan Sistem Informasi Manajemen Daerah (SIMDA) dengan Menggunakan Model UTAUT 2. Dipenogoro Journal Of Accounting, 10(1), 1–15.

Siraj, A. S., Ibrahim, M. F., & Daili, N. R. S. M. (2022). Conceptual Framework : Determinant Factors for Paying Zakat Fitrah Via Fintech. The Journal of Muamalat and Islamic Finance Research, 19(2), 102–124.

Sugiyono. (2018). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems, 27(3), 425–478.

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), 157–178.

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Published

2026-02-10

How to Cite

Sinaga, F. Z. A., Ridwan Nurdin, & Eka Nurlina. (2026). Facilitating Conditions and Social Influence on Zakat Payment Intention via QRIS: The Moderating Effect of Age at Baitul Mal Aceh. PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC), 4(1), 762–774. https://doi.org/10.47663/ibec.v4i1.340

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