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All Journal MANAJEMEN DEWANTARA The Asia Pacific Journal Of Management Studies Islamic Studies in the World Journal Markcount Finance
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
The Impact of Augmented Reality on Consumer Engagement and Brand Loyalty Zakiyya Tunnufus; Dini Arifian; Furniawan Furniawan; Dede Suharna; Pardomuan Pardosi
Journal Markcount Finance Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v2i2.1287

Abstract

In today's digital era, Augmented Reality (AR) technology is increasingly gaining attention as an innovative tool in marketing and consumer experience. AR offers interactive experiences that combine virtual elements with the real world, giving consumers new ways to interact with goods and brands. This study aims to determine how the use of augmented reality (AR) technology impacts consumer engagement and brand loyalty. Specifically, this research wants to know how interactive experiences with AR affect consumers' level of engagement with a brand and how much that engagement contributes to the formation of brand loyalty. This research was conducted using a quantitative approach and was designed as a survey. AR apps from various brands deploy questionnaires to collect data. The goal of this questionnaire is to measure consumer engagement, user experience with AR, and brand loyalty.  Studies show that the use of augmented reality (AR) significantly increases consumer engagement with brands. Consumers say that interactive and immersive AR experiences make them more interested in the goods and brands. The study found that augmented reality (AR) technology increases consumer engagement and brand loyalty.
THE EFFECT OF DER AND ROA ON BOND RATINGS WITH COMPANY SIZE AS A MEDIATING VARIABLE Nur Asifah; Dini Arifian; Furniawan
MANAJEMEN DEWANTARA Vol 9 No 2 (2025): MANAJEMEN DEWANTARA
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/md.v9i2.20676

Abstract

This study aims to explore the influence of DER and ROA on bond ratings thru the mediation of company size in banking institutions listed on the IDX during the period from 2022 to 2024. This research employs a quantitative approach, applying multiple linear regression analysis, with the research tool using Eviews version 12 as the analysis software. The sample consists of 15 banking companies listed on the IDX from 2022 to 2024. The bond rating downgrade during the 2023-2024 period is related to various factors, including a decline in investor investment levels. The findings reveal that (1) DER affects Company Size, (2) ROA affects Company Size, (3) Company Size affects Bond Rating, (4) DER affects Bond Rating, (5) ROA affects Bond Rating, (6) DER affects Bond Rating thru Company Size, and (7) ROA affects Bond Rating thru Company Size. Researchers recommend that future studies consider including additional variables such as liquidity or market conditions, and using advanced analytical techniques like Structural Equation Modeling (SEM) to obtain more comprehensive and precise results. The research findings are beneficial for investors, companies, and bond rating agencies in decision-making.
Co-Authors Ana Ima Sofana D. Muhamad Yamin Dede Suharna Furniawan, Furniawan Herlina Herlina Nur Asifah Pardomuan Pardosi Siti Mudawanah Tresna Nour Fauziah Zakiyya Tunnufus