STRATEGIES FOR DEVELOPING ISLAMIC ECONOMY THROUGH AI: A STUDY ON SUSTAINABLE HALAL INDUSTRY

Rina Ambarwati; Abu Naim; Dadang; Andika Mugi Gumilang; Fachmi Al Faroqi; Sapriyadi; Ervina Yennie Permananingrum; Sugiyono; Maman Supriatman; Agus Hermawan; Nor Fattah Ulinuha; Arswendo Susandi Nur

doi:10.47353/bj.v6i4.746

Authors

Rina Ambarwati Muhammadiyah University A.R. Fachruddin
Abu Naim Muhammadiyah University A.R. Fachruddin
Dadang Muhammadiyah University A.R. Fachruddin
Andika Mugi Gumilang Muhammadiyah University A.R. Fachruddin
Fachmi Al Faroqi Muhammadiyah University A.R. Fachruddin
Sapriyadi Muhammadiyah University A.R. Fachruddin
Ervina Yennie Permananingrum Muhammadiyah University A.R. Fachruddin
Sugiyono Muhammadiyah University A.R. Fachruddin
Maman Supriatman Muhammadiyah University A.R. Fachruddin
Agus Hermawan Muhammadiyah University A.R. Fachruddin
Nor Fattah Ulinuha Muhammadiyah University A.R. Fachruddin
Arswendo Susandi Nur Muhammadiyah University A.R. Fachruddin

DOI:

https://doi.org/10.47353/bj.v6i4.746

Keywords:

Development Strategy, Islamic Economics, Artificial Intelligence (AI), Halal Industry, Sustainability

Abstract

With the increasing demand for goods and services that comply with Sharia principles, the halal industry is one of the important sectors in the global economy that continues to grow rapidly. However, issues such as lack of efficiency, transparency, and global competition still pose significant obstacles to progress. By using AI in the halal industry, this research aims to create an Islamic economic development strategy focused on achieving economic sustainability in line with the Sustainable Development Goals (SDGs). This research was conducted using a qualitative approach by carrying out case studies on several halal businesses in Indonesia. Observation, interviews, and document analysis are the methods used to collect data. This study examines how artificial intelligence technologies, such as machine learning, big data analytics, and blockchain, can enhance operational efficiency, ensure Sharia compliance, and increase the availability of halal products in the market. Research shows that the application of artificial intelligence in the halal industry can offer innovative solutions such as automatic halal certification management, increased transparency in the production process, and optimization of the halal supply chain. Strengthening regulations that support Sharia-based innovation and enhancing collaboration between the government, industry players, and artificial intelligence technology providers are some of the recommended development strategies. It is hoped that the implementation of these strategies will help in the development of an inclusive and sustainable economy while also enhancing the competitiveness of the halal industry in the global market. This research greatly contributes to the development of literature related to technology-based Islamic economics. This also serves as a practical guide for policymakers and players in the halal industry.

Downloads

Download data is not yet available.

References

Ahmad, N., & Shariff, S. M. (2016). Supply Chain Management: Sertu Cleansing for Halal Logisitics Integrity. Procedia Economics and Finance, 37, 418–425. https://doi.org/10.1016/s2212-5671(16)30146-0

Ali, H., Mustafa, A. ul, & Aysan, A. F. (2024). Global Adoption of Generative AI: What Matters Most? Journal of Economy and Technology. https://doi.org/10.1016/j.ject.2024.10.002

Alshater, M. M., Saba, I., Supriani, I., & Rabbani, M. R. (2022). Fintech in islamic finance literature: A review. In Heliyon (Vol. 8, Issue 9). Elsevier Ltd. https://doi.org/10.1016/j.heliyon.2022.e10385

Beigi, M., Nayyeri, S., & Shirmohammadi, M. (2022). Steering wheels to make ends meet: Understanding stressors and coping strategies among app-based taxi drivers in Tehran. Journal of Vocational Behavior, 138. https://doi.org/10.1016/j.jvb.2022.103782

Billah, M., Enamul Hoque, M., Hadhri, S., & Do, H. X. (2025). Tail risk connectedness between DeFi and Islamic assets and their determinants. International Review of Economics and Finance, 97. https://doi.org/10.1016/j.iref.2024.103789

Golgeci, I., Ritala, P., Arslan, A., McKenna, B., & Ali, I. (2025). Confronting and alleviating AI resistance in the workplace: An integrative review and a process framework. Human Resource Management Review, 35(2). https://doi.org/10.1016/j.hrmr.2024.101075

Herdiana, Y., Sofian, F. F., Shamsuddin, S., & Rusdiana, T. (2024). Towards halal pharmaceutical: Exploring alternatives to animal-based ingredients. In Heliyon (Vol. 10, Issue 1). Elsevier Ltd. https://doi.org/10.1016/j.heliyon.2023.e23624

Islam, M. T., Ali, A., Abdul Qadir, S., & Shahid, M. (2025). Management strategies and recycling technologies: Lessons learned and roadmap for sustainable circular battery waste management in Saudi Arabia. In Green Technologies and Sustainability (Vol. 3, Issue 3). KeAi Communications Co. https://doi.org/10.1016/j.grets.2024.100160

Li, Z., Hamidi, A. S., Yan, Z., Sattar, A., Hazra, S., Soulard, J., Guest, C., Ahmed, S. H., & Tailor, F. (2024). A circular economy approach for recycling Electric Motors in the end-of-life Vehicles: A literature review. In Resources, Conservation and Recycling (Vol. 205). Elsevier B.V. https://doi.org/10.1016/j.resconrec.2024.107582

Liu, Z., Zhou, R., & Jhang, Z. (2024). Tying energy resiliance and digital upgradation of technology transformation of electric power system: Does financial flexibility matters? Energy Strategy Reviews, 56. https://doi.org/10.1016/j.esr.2024.101555

Lu, H. P., Cheng, H. L., Tzou, J. C., & Chen, C. S. (2023). Technology roadmap of AI applications in the retail industry. In Technological Forecasting and Social Change (Vol. 195). Elsevier Inc. https://doi.org/10.1016/j.techfore.2023.122778

Lu, M., Han, Q., & Hao, Q. (2025). Can digital transformation help alleviate corporate financial redundancy? International Review of Economics and Finance, 97. https://doi.org/10.1016/j.iref.2024.103772

Muharam, I. N., Tussyadiah, I., & Kimbu, A. (2024). Unlocking the potential of blockchain-based sharing economy in hospitality and tourism: A systematic review. International Journal of Hospitality Management, 122. https://doi.org/10.1016/j.ijhm.2024.103863

Nivornusit, R., Kraiwanit, T., & Limna, P. (2024). Food delivery competition in the digital economy: Price war strategy in a developing country. Digital Business, 4(1). https://doi.org/10.1016/j.digbus.2024.100076

Noordin, N., Noor, N. L. M., & Samicho, Z. (2014). Strategic Approach to Halal Certification System: An Ecosystem Perspective. Procedia - Social and Behavioral Sciences, 121, 79–95. https://doi.org/10.1016/j.sbspro.2014.01.1110

Soori, M., Jough, F. K. G., Dastres, R., & Arezoo, B. (2024). AI-Based Decision Support Systems in Industry 4.0, A Review. Journal of Economy and Technology. https://doi.org/10.1016/j.ject.2024.08.005

Tieman, M., & Ghazali, M. C. (2014). Halal Control Activities and Assurance Activities in Halal Food Logistics. Procedia - Social and Behavioral Sciences, 121, 44–57. https://doi.org/10.1016/j.sbspro.2014.01.1107