The Effectiveness of BAZNAS Productive Zakat Programme in Poverty Alleviation

A CIBEST Model Approach

Authors

  • Nur Fitry Latief Institut Agama Islam Negeri Manado, Indonesia
  • Syamsul Alam STIEM Bongaya Makassar, Indonesia, Indonesia

DOI:

https://doi.org/10.24256/kharaj.v8i1.10395

Keywords:

BAZNAS, CIBEST Model, productive zakat, poverty alleviation, Islamic economics, mustahiq welfare, Indonesia

Abstract

This study evaluates the effectiveness of the Badan Amil Zakat Nasional (BAZNAS) productive zakat programme in alleviating poverty among mustahiq recipients in Manado, North Sulawesi, Indonesia, using the Combined Islamic Poverty Index and Spiritual Index (CIBEST) model. The CIBEST model provides a multidimensional assessment integrating both material welfare  food, clothing, housing, education, and health  and spiritual welfare  faith (aqidah), worship (ibadah), morality (akhlak), family harmony, and religious knowledge  thereby reflecting Islamic economics principles of holistic human welfare. A pre-test/post-test quasi-experimental design was employed, collecting data from 248 mustahiq recipients across four programme types: productive capital loans, skill and vocational training, business mentoring, and digital marketing assistance. Instruments were validated and reliable (Cronbach's α > 0.70). Paired t-tests and McNemar's tests were applied to assess pre-post differences. Results demonstrate that the proportion of mustahiq in the Welfare Quadrant (Q1) increased significantly from 18.4% to 47.3% (Δ = +28.9 percentage points), while the Absolute Poverty Quadrant (Q4) declined from 36.2% to 13.2% (Δ = −23.0 pp). The CIBEST Welfare Index rose from 0.41 to 0.69 overall (Cohen's d = 0.77, large effect), with digital marketing assistance producing the largest gain (IW: 0.41 → 0.73). All changes were statistically significant (p < 0.001). Spiritual welfare scores also showed consistent improvement across all indicators, with modest but meaningful gains. The findings confirm that productive zakat, when structured around Big Data-informed targeting (Latief, 2025a) and strategic management principles (Latief, 2025b), can generate substantial and measurable poverty reduction outcomes. The CIBEST model is validated as an appropriate, culturally grounded, and empirically sensitive instrument for zakat effectiveness evaluation in Indonesia.

References

Aisyah, Nur, Muhammad Agus Futuhul Ma’wa, and Muh. Noval Waliyuddinsyah. 2023. “Zakat, Infaq, Shadaqah, and Waqf Using Financial Technology: Millennial Generation Perspective.” Review of Islamic Social Finance and Entrepreneurship 13–28.

Al-Qaradawi, Y. (1999). Fiqh al-Zakah: A comparative study. Dar Al Taqwa Ltd.

Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487. https://doi.org/10.1016/j.jpubeco.2010.11.006

Ayuniyyah, Q., Pramanik, A. H., Saad, N. M., & Ariffin, M. I. (2018). Zakat efficacy on alleviating poverty in ASEAN. Journal of Economics Malaysia, 52(1), 141–153.

BAZNAS. (2024). National zakat statistics 2023. Badan Amil Zakat Nasional.

Beik, I. S., & Arsyianti, L. D. (2016). Measuring zakat impact on poverty and welfare using CIBEST model. Journal of Islamic Monetary Economics and Finance, 1(2), 141–160. https://doi.org/10.21098/jimf.v1i2.483

Beik, I. S., Zaenal, M. H., & Saoqi, A. A. Y. (2021). The optimization of blockchain for greater transparency in zakat management. In Islamic FinTech (pp. 281–297). Springer. https://doi.org/10.1007/978-3-030-45827-0_16

Central Statistics Agency [BPS]. (2024). Percentage of poor population March 2024. BPS.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Firdaus, M., Beik, I. S., Irawan, T., & Juanda, B. (2012). Economic estimation and determinations of zakat potential in Indonesia. IRTI Working Paper WP# 1433-07.

Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766. https://doi.org/10.2307/1913475

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE.

Herianingrum, S., Supriani, I., Sukmana, R., Effendie, E., Widiastuti, T., Fauzi, Q., & Shofawati, A. (2024). Zakat as an instrument of poverty reduction in Indonesia. Journal of Islamic Accounting and Business Research, 15(4), 643–660. https://doi.org/10.1108/JIABR-11-2021-0307

Kahf, M. (1999). The performance of the institution of zakah in theory and practice. In International Conference on Islamic Economics Towards the 21st Century, Kuala Lumpur.

Latief, N. F. (2025a). A conceptual model of Big Data-driven zakat management: An integrative approach between strategic management and Islamic economics. International Journal of Contemporary Sciences, 3(11), 419–436. https://doi.org/10.55927/439w0w08

Latief, N. F. (2025b). Global values in local wisdom based management accounting for the development of religious higher education. Sosioedukasi: Jurnal Ilmiah Ilmu Pendidikan dan Sosial, 15(1), 694–702.

Latief, N. F. (2025c). Optimization of zakat, infaq, and digital alms for poverty alleviation: Analysis of distribution efficiency by Data Envelopment Analysis. Sosioedukasi: Jurnal Ilmiah Ilmu Pendidikan dan Sosial, 14(4), 4806–4812.

Latief, N. F., & Sandimula, N. S. (2022). How accountable is zakat management in Indonesia? An evidence from BAZNAS of North Sulawesi. Share: Jurnal Ekonomi dan Keuangan Islam, 11(1), 42–60. https://doi.org/10.22373/share.v11i1.11194

Latief, N. F., & Niu, F. A. L. (2020). Accounting information and psychological factors in capital market: Do these affect the investors' decisions to invest? Jurnal Reviu Akuntansi dan Keuangan, 10(2), 335–348. https://doi.org/10.22219/jrak.v10i2.12931

Maulida, S., Amruzi, F. Al, Hakim, B. R., & Beik, I. S. (2024). Post-pandemic digital transformation in zakat management: Insights from Maqasyid Syari'ah in South Kalimantan. El-Mashlahah, 14(2), 281–302. https://doi.org/10.23971/el-mashlahah.v14i2.7772

Mutamimah, M., Alifah, S., Gunawan, G., & Adnjani, M. D. (2021). ICT-based collaborative framework for improving the performance of zakat management organisations in Indonesia. Journal of Islamic Accounting and Business Research, 12(6), 887–903. https://doi.org/10.1108/JIABR-05-2020-0154

Noor, A. H. M., Rasool, M. S. A., Ali, R. M., & Rahman, R. A. (2015). Efficiency of Islamic institutions: Empirical evidence of zakat organizations' performance in Malaysia. Journal of Economics, Business and Management, 3(2), 282–286.

Rusydiana, A. S., & Al-Farisi, S. (2016). Efficiency analysis of zakat institutions in Indonesia: Data Envelopment Analysis and Tobit regression approach. Significant: Journal of Economics, 5(1), 51–68.

Saad, R. A. J., Ahmi, A., Sawandi, N., & Abdul Aziz, N. M. (2023). Zakat administration reformation towards an effective and efficient zakat revenue generation. Journal of Islamic Accounting and Business Research, 14(8), 1232–1260. https://doi.org/10.1108/JIABR-05-2021-0151

Wahab, N. A., & Rahman, A. R. A. (2013). Efficiency of zakat institutions in Malaysia: An application of Data Envelopment Analysis. Journal of Economic Cooperation and Development, 34(1), 95–112.

Widiastuti, T., Cahyono, E. F., Zulaikha, S., Mawardi, I., & Al Mustofa, M. U. (2021). Optimizing zakat governance in East Java using analytical network process (ANP): The role of zakat technology (ZakaTech). Journal of Islamic Accounting and Business Research, 12(3), 301–319. https://doi.org/10.1108/JIABR-09-2020-0307

Yuliar, Ade. 2021. “ANALISIS STRATEGI FUNDRAISING ORGANISASI PENGELOLA ZAKAT DI ERA DIGITALISASI.” Filantropi : Jurnal Manajemen Zakat Dan Wakaf 2(1):65–76.

Downloads

Published

2026-04-01

How to Cite

Latief, N. F., & Alam, S. (2026). The Effectiveness of BAZNAS Productive Zakat Programme in Poverty Alleviation: A CIBEST Model Approach. Al-Kharaj: Journal of Islamic Economic and Business, 8(1). https://doi.org/10.24256/kharaj.v8i1.10395

Citation Check

Similar Articles

<< < 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 > >> 

You may also start an advanced similarity search for this article.