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p-Index From 2021 - 2026
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This Author published in this journals
All Journal The Asia Pacific Journal Of Management Studies Islamic Studies in the World
Dini Arifian
Universitas La Tansa Mashiro
Religion Economics, Econometrics & Finance

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The Impact of Artificial Intelligence on Investment Decision-Making Dini Arifian; Siti Mudawanah; Herlina Herlina; Ana Ima Sofana
Islamic Studies in the World Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v1i2.1522

Abstract

Background. The increasing integration of artificial intelligence (AI) in finance is reshaping investment decision-making, as AI provides tools for analyzing large datasets, forecasting trends, and automating trading processes. This shift toward AI-driven insights aims to enhance decision accuracy and reduce human error, ultimately transforming traditional investment practices. Purpose. This study investigates the impact of AI on investment decision-making, focusing on how AI algorithms influence investor behavior, market forecasting, and risk management. The objective is to assess whether AI-driven models improve decision quality and identify any limitations in their application. Method. A mixed-method research approach was employed, combining quantitative analysis of AI model performance with qualitative insights from industry professionals. Machine learning algorithms were used to analyze historical investment data and predict market trends, while interviews with investment managers provided perspectives on the practical benefits and challenges of AI in financial decision-making. Results. Results indicate that AI algorithms can improve predictive accuracy by up to 90%, with reduced response times in volatile markets. However, reliance on AI models also introduces risks, including over-reliance on algorithmic predictions and potential biases in data. Conclusion. The study concludes that while AI significantly enhances investment decision-making through improved forecasting and efficiency, its limitations necessitate careful oversight. Implementing AI in investment requires a balanced approach, combining human expertise with algorithmic insights to optimize decision outcomes. The findings underscore the potential for AI to support investment strategies while highlighting the need for ethical and transparent AI applications.
PROFITABILITAS, LIKUIDITAS, DAN KEBIJAKAN HUTANG TERHADAP NILAI PERUSAHAAN PADA BANK BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) Tresna Nour Fauziah; Dini Arifian; D. Muhamad Yamin
The Asia Pacific Journal Of Management Studies Vol 13 No 1 (2026)
Publisher : Universitas La Tansa Mashiro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55171/apjms.v13i1.1798

Abstract

This study aims to examine the influence of profitability (measured by Return on Equity/ROE), liquidity (measured by Current Ratio/CR), and debt policy (measured by Debt to Equity Ratio/DER) on firm value (measured by Price-Earnings Ratio/PER). This is a quantitative study. A saturated sampling method was employed, utilizing a dataset of 32 observations from four state-owned (BUMN) banks listed on the Indonesia Stock Exchange during the 2017–2024 period. Multiple linear regression analysis was conducted using SPSS version 27. The results indicate that, individually, debt policy has a significant effect on firm value, whereas profitability and liquidity do not. However, when considered simultaneously, profitability, liquidity, and debt policy collectively influence firm value
Co-Authors Ana Ima Sofana D. Muhamad Yamin Herlina Herlina Siti Mudawanah Tresna Nour Fauziah