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All Journal Jurnal Bisinis Digital Maneggio
Cindy Puspitafuri
Badan Riset dan Inovasi Daerah Provinsi Sulawesi Tenggara, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science

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Risk Management Strategies in the Face of Global Market Uncertainty Karsim Karsim; Deni Gunawan; Cindy Puspitafuri; Ahmad Junaidi
Maneggio Vol. 1 No. 3 (2024): Maneggio-Juni
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/v9ahph86

Abstract

In today's dynamic global economy, organizations face increasing challenges in managing risk amidst market uncertainty. This paper addresses a gap in current research by focusing on innovative risk management strategies designed to effectively address these uncertainties. Using a qualitative research approach, this study investigates how organizations identify, assess, and mitigate risk through in-depth interviews and thematic analysis. The novelty lies in exploring the integration of traditional risk management frameworks with emerging qualitative methodologies to improve decision making and resilience. By leveraging qualitative insights, this research aims to uncover various risk factors that are often overlooked by quantitative approaches, thereby offering a comprehensive understanding of risk dynamics in complex global markets. This study contributes to advancing theoretical frameworks and practical applications in risk management, empowering organizations to proactively adapt and thrive in turbulent environments. Based on the evaluation that has been carried out, it can be stated that risk management plays a crucial role in influencing company performance. Risk management not only functions to manage company resources with efficiency, but also to optimize the results obtained so that the company can achieve the financial goals that have been set.
INTEGRASI ARTIFICIAL INTELLIGENCE UNTUK PREDIKSI HARGA BIJI KAKAO DAN E-COMMERCE DALAM MENINGKATKAN NILAI JUAL PETANI Cindy Puspitafuri; Kasmawati
Jurnal Bisnis Digital Vol. 3 No. 1 (2025): Jurnal Bisnis Digital, Vol. 3 No. 1 Mei-2025
Publisher : Prodi Bisnis Digital Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/j-bisdig.v3i1.3018

Abstract

Harga jual biji kakao di tingkat petani sering kali tidak mencerminkan kualitas sebenarnya, akibat keterbatasan akses informasi dan dominasi tengkulak dalam rantai distribusi. Penelitian ini menawarkan solusi dengan mengembangkan sistem digital berbasis Artificial Intelligence (AI) dan algoritma fuzzy logic, yang terintegrasi ke dalam platform e-commerce. Sistem ini dirancang untuk membantu petani menentukan harga jual yang adil berdasarkan kualitas biji kakao seperti kadar air, kebersihan dan tingkat fermentasi. Hasil harga prediktif yang muncul dapat digunakan sebagai acuan saat petani berinteraksi langsung dengan pembeli, tanpa perantara. Platform juga menyediakan fitur eduakasi dan informasi digital untuk meningkatkan literasi petani. Pendekatan ini memperkuat posisi tawar petani, menciptakan transparansi harga, dan membuka akses pasar yang lebih luas. Inovasi ini diharapkan membentuk ekosistem agribisnis digital yang tidak hanya cerdas secara terknologi, tapi juga adil dan berpihak pada kesejahteraan petani.
Co-Authors Ahmad Junaidi Deni Gunawan Karsim Karsim Kasmawati