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All Journal Jurnal Ilmiah Ekonomi dan Manajemen JURNAL RUMPUN MANAJEMEN DAN EKONOMI
Rajagukguk, Yosia Suhendri
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Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

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PERAN UANG DALAM PENGAMBILAN KEPUTUSAN MANAJERIAL Rajagukguk, Yosia Suhendri; Remus Silalahi
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 3 No. 2 (2026): Maret
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v3i2.9028

Abstract

This study aims to examine economic actors’ perspectives on the importance of money in daily interactions and transactions, as well as in managerial decision-making processes. As a medium of exchange, money not only facilitates the exchange of goods and services but also shapes more efficient and structured economic behavior. In the context of modern business, money functions as a planning tool, a basis for investment decision-making, a means of control and evaluation, a determinant of risk, and a source of motivation and incentives. Furthermore, developments in payment technologies have expanded the understanding of the functions of money in economic activities. The findings of this study are expected to contribute to microeconomic literature, particularly in understanding the behavior of economic and managerial actors in utilizing money as a key instrument in daily activities and decision-making.
IMPLEMENTASI ARTIFICIAL INTELLIGENCE (AI) PADA SISTEM INFORMASI MANAJEMEN PENJUALAN Rajagukguk, Yosia Suhendri; Darwis Robinson Manalu
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 4 No. 2 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v4i2.8976

Abstract

The development of digital technology encourages companies to optimize their Sales Management Information Systems (MIS) through the application of Artificial Intelligence (AI). AI enables the automation of business processes, predictive data analysis, and personalization of customer services, which have an impact on increasing operational efficiency and company profitability. This study aims to analyze the forms of AI implementation in Sales MIS, the benefits generated, and the challenges faced in its application. The method used is a descriptive approach through literature studies, document analysis, and observation. The results of the study indicate that AI implementation increases operational efficiency, accelerates decision-making, and improves the quality of customer service. However, the main challenges include data quality, information privacy, and the readiness of human resources. This study recommends investment in data infrastructure, strengthening privacy policies, and employee training as effective implementation strategies.The development of digital technology encourages companies to optimize their Sales Management Information Systems (MIS) through the application of Artificial Intelligence (AI). AI enables the automation of business processes, predictive data analysis, and personalization of customer services, which have an impact on increasing operational efficiency and company profitability. This study aims to analyze the forms of AI implementation in Sales MIS, the benefits generated, and the challenges faced in its application. The method used is a descriptive approach through literature studies, document analysis, and observation. The results of the study indicate that AI implementation increases operational efficiency, accelerates decision-making, and improves the quality of customer service. However, the main challenges include data quality, information privacy, and the readiness of human resources. This study recommends investment in data infrastructure, strengthening privacy policies, and employee training as effective implementation strategies.
Co-Authors Darwis Robinson Manalu Remus Silalahi