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All Journal Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan Jurnal Ilmiah Ekonomi dan Manajemen JURNAL AKADEMIK EKONOMI DAN MANAJEMEN
Simanullang, Febri Yanti
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other

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Peran Good Corporate Governance Memediasi Pengaruh Profitabilitas terhadap Nilai Perusahaan di BEI Periode 2019-2023 Simanullang, Febri Yanti; Gultom, Robinhot; Purba, Jon Hendri
Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan Vol. 5 No. 2 (2025): Juni : Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurimbik.v5i2.1108

Abstract

The purpose of this study is to obtain empirical evidence of Good Corporate Governance in mediating profitability on firm value. The sample used in this study were all Industrials sector companies listed on the Indonesia Stock Exchange for the 2019-2023 period using the purposive sampling method. The software analysis used was WarpPLS version 8.0. The results of this study indicate that the capital structure and profitability variables directly have a negative effect on firm value and the dividend policy variable directly shows a positive effect on firm value. The test results prove that Good Corporate Governance is able to mediate the effect of profitability on firm value.
PENGARUH PENDAPATAN NASIONAL TERHADAP KESEJAHTERAAN MASYARAKAT INDONESIA Simanullang, Febri Yanti; Remus Silalahi
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 4 No. 3 (2026): Maret
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v4i3.9168

Abstract

This paper aims to comprehensively examine the concept of national income, encompassing its definition, types of national income, measurement methods, influencing factors, and its role in improving public welfare. Calculating national income aims to obtain an overview of a country's economic level. The discussion is supported by the opinions of researchers and economic theories from scientific journals and economics textbooks. The study's results indicate that national income plays a strategic role in development planning and economic policymaking, despite its limitations in depicting public welfare as a whole
Pengaruh Aplikasi AI dalam Pegambilan Keputusan Sistem Informasi Manajemen Simanullang, Febri Yanti; Darwis Manalu
JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Vol. 3 No. 1 (2026): JURNAL AKADEMIK EKONOMI DAN MANAJEMEN 
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jaem.v3i1.9138

Abstract

This study aims to analyze the influence of applying Artificial Intelligence (AI) within Management Information Systems (MIS) on organizational decision-making processes. The background of this research is the increasing business complexity and data volume that can no longer be optimally managed by conventional MIS, necessitating the integration of AI technology to enhance decision quality. The method employed is a systematic literature review, analyzing 20 primary articles from reputable international journals and academic books published between 2015 and 2024. Secondary data were obtained from scientific databases such as Google Scholar, ScienceDirect, Springer, and IEEE, and then analyzed using content analysis and thematic synthesis approaches. The findings indicate that the implementation of AI in MIS has a significant impact on the quality of decision-making at operational, tactical, and strategic levels. This impact is manifested in five main dimensions: (1) increased processing speed and real-time decision response; (2) enhanced accuracy and precision through machine learning; (3) reduction of bias and subjectivity with a data-driven approach; (4) achievement of efficiency and competitive advantage; and (5) the emergence of ethical risks and AI governance that need to be anticipated. These findings confirm that AI acts as a decision support system based on big data analytics, shifting the decision-making paradigm towards a more scientific and measurable approach (data-driven decision making). However, AI's effectiveness heavily depends on data quality, technological infrastructure readiness, human resource competence, and transparent and accountable algorithm governance. The implications of this research affirm that synergistic collaboration between humans and AI, with humans as the controllers of context and ethics, is key to creating adaptive and competitive management information systems in the digital era. This study contributes to the development of an effective framework for AI implementation within organizations.
Co-Authors Darwis Manalu Purba, Jon Hendri Remus Silalahi Robinhot Gultom, Robinhot