Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Berajah Journal Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan
M. Fakhriansyah
Politeknik Akamigas Palembang
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pengaruh Pengungkapan ESG Terhadap Nilai Perusahaan M. Fakhriansyah; Devia Septyani; K.M. Faisal Reza
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 6 No. 1 (2025): Januari
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v6i1.2257

Abstract

ESG disclosure of company value is a theme in this research. Where ESG disclosure in Indonesia is important and mandatory for companies listed on the stock exchange. The sample for this research is mining sector companies listed on the IDX for the period 2018 - 2023. The SPSS 24 software tool is used to see the relationship between ESG disclosure and company value. The results obtained by ESG disclosure have a positive influence on company value in Indonesia in mining sector companies for the period 2018 - 2023. The results of data processing research provide output results of 27.4% of ESG disclosure variables having an effect on company value. Even though ESG disclosure has less than 50% influence on company value, in fact the implementation of ESG disclosure in the mining sector is expected to be a guideline for sustainable development by considering ESG aspects.
POLA PENGELUARAN KONSUMEN SELAMA KETIDAKPASTIAN EKONOMI: PENDEKATAN BERBASIS SURVEI M. Fakhriansyah; K.M. Faisal Reza; Kurnia Ramadhon
Berajah Journal Vol. 5 No. 12 (2026): Berajah Journal
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/bj.v5i12.631

Abstract

Economic uncertainty triggered by macroeconomic fluctuations, inflation, and global market dynamics has brought significant changes to consumer behavior and spending patterns. This study aims to analyze consumer spending patterns during periods of economic uncertainty using a survey-based approach. The research method used is a quantitative survey with data collection through structured questionnaires distributed to consumers from various socioeconomic backgrounds. The data obtained were analyzed using descriptive and inferential statistical techniques to identify changes in spending priorities, savings tendencies, and shifts in consumption from secondary to primary needs. The results show that economic uncertainty encourages consumers to be more cautious in making financial decisions, with an increased focus on essential spending, a reduction in discretionary spending, and an increased preference for products with long-term utility. In addition, income level and perceptions of economic stability have been shown to significantly influence variations in consumer spending patterns. These findings provide theoretical contributions to understanding the dynamics of consumer behavior in unstable economic conditions and provide practical implications for businesses and policymakers in designing adaptive marketing strategies and economic policies.
PERENCANAAN STRATEGIS BERBASIS DATA DAN KEUNGGULAN KOMPETITIF DI PERUSAHAAN DIGITAL M. Fakhriansyah; K.M. Faisal Reza; Elin Destri Mirani
Berajah Journal Vol. 6 No. 4 (2026): Berajah Journal
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/bj.v6i4.747

Abstract

Digital transformation has driven organizations to adopt a data-driven approach to strategic planning to enhance competitiveness amidst increasingly complex market dynamics. This study aims to analyze the role of data-driven strategic planning in creating competitive advantage in digital companies. The study employed a literature review method by examining various scientific publications, industry reports, and relevant academic articles on the use of data analytics, artificial intelligence, and evidence-based decision-making in the context of digital companies. The study results indicate that data integration in the strategic planning process can improve decision-making accuracy, accelerate organizational response to changes in the business environment, and support more adaptive product and service innovation. In addition, the use of analytical technology enables companies to identify market opportunities, understand customer behavior, and optimize operational efficiency on an ongoing basis. However, the implementation of a data-driven approach still faces several challenges, such as limited data quality, human resource readiness, information security, and the need for effective data governance. This study confirms that data-driven strategic planning is a critical factor in building sustainable competitive advantage for digital companies. The research findings are expected to serve as a conceptual foundation for academics and practitioners in formulating more responsive, innovative, and value-oriented organizational strategies in the digital economy era.
MANAJEMEN PENGETAHUAN DALAM ORGANISASI YANG DIDORONG OLEH AI: MENINGKATKAN INOVASI DAN KEUNGGULAN KOMPETITIF K. M. Faisal Reza; M. Fakhriansyah; Dimas Ardiansyah
Berajah Journal Vol. 6 No. 4 (2026): Berajah Journal
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/bj.v6i4.749

Abstract

The development of artificial intelligence has driven organizational transformation in managing knowledge as a strategic asset that determines the sustainability of innovation and competitive advantage. AI-based organizations are not only required to adopt advanced technology but also to be able to effectively integrate the processes of creating, storing, sharing, and utilizing knowledge. This study aims to analyze the role of knowledge management in increasing innovation capacity and strengthening competitive advantage in organizations implementing AI. The study uses a literature review approach by examining various scientific articles, books, and relevant academic publications on knowledge management, artificial intelligence, organizational innovation, and competitive advantage. The results of the study indicate that the integration of knowledge management with AI technology can improve decision-making efficiency, accelerate the innovation process, strengthen organizational learning, and support adaptation to the dynamics of an increasingly complex business environment. In addition, the successful implementation of knowledge management in AI-based organizations is influenced by organizational culture, human resource readiness, digital infrastructure, and effective data governance. Thus, knowledge management plays a strategic foundation that enables organizations to maximize the potential of AI to create sustainable added value and maintain competitiveness in the era of digital transformation.
Co-Authors Devia Septyani Dimas Ardiansyah Elin Destri Mirani K. M. Faisal Reza K.M. Faisal Reza Kurnia Ramadhon