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All Journal Business, Economics and Entrepreneurship El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Journal of Ekonomics, Finance, and Management Studies
Rini Marlina
Perbanas Institute
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Kecerdasan Buatan dan Rantai Pasokan Manajemen Berkelanjutan: Mengurangi Limbah dan Meningkatkan Efisiensi Rini Marlina
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 7 No. 4 (2026): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v7i4.10320

Abstract

Artificial intelligence (AI) has emerged as a driving force in the transformation of sustainable supply chain management, aimed at reducing waste and enhancing operational efficiency. In the context of globalisation and rapid technological advancement, companies are required to focus not only on profit but also on the social and environmental impacts of their business activities. This research aims to explore how AI can be applied to enhance sustainability within the supply chain by minimising waste and improving efficiency. Through big data analysis, AI can provide more accurate predictions regarding product demand, enabling companies to optimise production and reduce surplus. This study also identifies the challenges faced by companies in integrating this new technology, including a lack of understanding and skills among workers. By providing insights into best practices and policy recommendations, this research seeks to assist companies in adopting AI as part of their sustainability strategies. The findings indicate that the implementation of AI can not only enhance operational efficiency by up to 30% but also contribute to the reduction of carbon footprints and the achievement of sustainable development goals.
Kecerdasan Buatan dan Rantai Pasokan Manajemen Berkelanjutan: Mengurangi Limbah dan Meningkatkan Efisiensi Rini Marlina
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 7 No. 4 (2026): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v7i4.10320

Abstract

Artificial intelligence (AI) has emerged as a driving force in the transformation of sustainable supply chain management, aimed at reducing waste and enhancing operational efficiency. In the context of globalisation and rapid technological advancement, companies are required to focus not only on profit but also on the social and environmental impacts of their business activities. This research aims to explore how AI can be applied to enhance sustainability within the supply chain by minimising waste and improving efficiency. Through big data analysis, AI can provide more accurate predictions regarding product demand, enabling companies to optimise production and reduce surplus. This study also identifies the challenges faced by companies in integrating this new technology, including a lack of understanding and skills among workers. By providing insights into best practices and policy recommendations, this research seeks to assist companies in adopting AI as part of their sustainability strategies. The findings indicate that the implementation of AI can not only enhance operational efficiency by up to 30% but also contribute to the reduction of carbon footprints and the achievement of sustainable development goals.
emerging risk; risiko iklim; ris Tata Kelola Risiko Perbankan di Era Emerging Risk: Risiko Iklim dan Risiko Digital Peniel Siregar; Rini Marlina; Rosa Christiana Esti Noor Sumaryanti
Business, Economics dan Entrepreneurship Vol 8 No 1 (2026): Business, Economics and Entrepreneurship
Publisher : Institut Shanti Bhuana, Program Studi Kewirausahaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/bee.v8i1.1084

Abstract

Perubahan lingkungan usaha perbankan dalam satu dekade terakhir ditandai oleh meningkatnya kompleksitas risiko yang bersifat baru dan berkembang (emerging risk). Di antara emerging risk yang paling menonjol, risiko iklim dan risiko digital semakin diakui memiliki implikasi signifikan terhadap stabilitas dan keberlanjutan perbankan. Artikel ini bertujuan untuk mengkaji tata kelola risiko perbankan di era emerging risk melalui sintesis literatur konseptual yang berfokus pada risiko iklim dan risiko digital. Penelitian ini menggunakan pendekatan studi pustaka konseptual dengan menganalisis literatur akademik dan dokumen kebijakan yang relevan melalui teknik sintesis tematik. Hasil kajian menunjukkan bahwa risiko iklim dan risiko digital bersifat lintas kategori, sistemik, dan berfungsi sebagai risk drivers yang memperkuat berbagai jenis risiko keuangan dan non-keuangan. Pembahasan juga mengungkap bahwa praktik pengelolaan risiko perbankan masih cenderung terfragmentasi, sehingga berpotensi melemahkan efektivitas tata kelola risiko. Artikel ini menegaskan pentingnya penguatan tata kelola risiko terintegrasi melalui pendekatan Enterprise Risk Management (ERM), dengan peran aktif dewan komisaris dan manajemen puncak dalam mengintegrasikan risiko iklim dan risiko digital ke dalam strategi dan pengambilan keputusan perbankan. Secara konseptual, artikel ini memberikan kontribusi dengan menawarkan perspektif integratif atas tata kelola risiko perbankan di era emerging risk, serta memberikan implikasi bagi praktik perbankan dan pengembangan kebijakan. Kata kunci: emerging risk; risiko iklim; risiko digital; tata kelola perbankan.
Co-Authors Peniel Siregar Rosa Christiana Esti Noor Sumaryanti