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All Journal Jurnal Penelitian Ekonomi Manajemen dan Bisnis Jurnal Intelek Insan Cendikia
Sabrina Aisyah Putri
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Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Asuransi Bank Syariah Indonesia Mario Valentino; Sabrina Aisyah Putri; Mad Sohib
Jurnal Penelitian Ekonomi Manajemen dan Bisnis Vol. 3 No. 3 (2024): Agustus : Jurnal Penelitian Ekonomi Manajemen dan Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jekombis.v3i3.4001

Abstract

According to Islamic law, sharia insurance refers to mutual help. In general, sharia insurance, also known as at'ta'min, takaful, and tazamun, is an effort between a number of people or parties to protect and help each other through investment in the form of tabarru assets and/or funds. which offers a pattern of return for managing certain risks through Shariah-compliant contracts. To obtain information about risk management in sharia insurance, this study uses a type of literature research, collecting secondary data from books, magazines, the internet, and supporting data sources. The findings of this study are risk management to solve the inevitable problems in sharia insurance. Risk is the uncertainty of future events and outcomes. According to the type of risk that exists in a particular scenario, risk is described as something that, based on internal and external variables, can make it difficult for the company to achieve its goals. Must comply with OJK rules when planning risk management for sharia insurance.
Pemanfaatan Artificial Intelligence Untuk Meningkatkan Efisiensi Operasional Perusahaan Di Era Digital Hilma Handriyani; Santi Angraini Saliha; Sabrina Aisyah Putri; Andre Prayogi; Dian Kurniasari
Jurnal Intelek Insan Cendikia Vol. 3 No. 2 (2026): Februari 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Perkembangan teknologi digital mendorong perusahaan untuk mengadopsi sistem berbasis kecerdasan buatan guna meningkatkan efisiensi operasional. Penelitian ini bertujuan untuk menganalisis implementasi Artificial Intelligence (AI) dalam meningkatkan produktivitas kerja, mengurangi biaya operasional, serta mempercepat proses pengambilan keputusan. Metode penelitian yang digunakan adalah pendekatan deskriptif kuantitatif dengan studi literatur dan analisis data sekunder dari berbagai perusahaan yang telah mengimplementasikan AI. Hasil penelitian menunjukkan bahwa penerapan AI mampu meningkatkan efisiensi operasional hingga 35% serta menurunkan biaya operasional rata-rata sebesar 20%. Selain itu, implementasi AI juga terbukti mampu meningkatkan akurasi analisis data serta mengurangi tingkat kesalahan manusia (human error) dalam proses operasional. Integrasi sistem berbasis AI memungkinkan perusahaan untuk melakukan monitoring kinerja secara real-time dan menghasilkan prediksi yang lebih akurat dalam perencanaan strategis. Penelitian ini menyimpulkan bahwa integrasi AI menjadi strategi penting dalam transformasi digital perusahaan modern serta berperan signifikan dalam meningkatkan daya saing di era ekonomi berbasis teknologi.
Co-Authors Andre Prayogi Dian Kurniasari Hilma Handriyani Mad Sohib Mario Valentino Santi Angraini Saliha