Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal Formosa Journal of Applied Sciences (FJAS)
Dian Senly Andika
Universitas Negeri Malang
Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Social Sciences

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The Effect of Profitability and Capital Structure on the Value of F&B Companies Listed on the Indonesia Stock Exchange During the Covid-19 Recovery Period from 2021 to 2024 Aisya Ramadhani; Dian Senly Andika; Rizma Fauziyah; Ely Siswanto; Subagyo Subagyo
Formosa Journal of Applied Sciences Vol. 4 No. 12 (2025): December 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjas.v4i12.512

Abstract

This study aims to analyze the effect of profitability and capital structure on the value of companies in the food and beverage (F&B) sub-sector listed on the Indonesia Stock Exchange during the COVID-19 recovery period from 2021 to 2024. Using a quantitative approach and multiple linear regression analysis of 12 companies that met the purposive sampling criteria, this study found that profitability had a positive and significant effect on company value. In contrast, capital structure had a negative and significant effect. These results indicate that the ability to generate profits is a strong signal for investors, while high debt levels lower market perception. Simultaneously, both variables have a significant effect, although their contribution is limited.
Academic Work and Alienation in the Automatic University: A Marxian Critical Essay Fahrizal Fahrizal; Dian Senly Andika; Agung Winarno; Subagyo Subagyo
Formosa Journal of Applied Sciences Vol. 4 No. 12 (2025): December 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjas.v4i12.485

Abstract

This article examines contemporary academic work through a Marxian analysis of alienation in the context of digital capitalism and artificial intelligence (AI). The study aims to conceptualise how AI systems and platform infrastructures intensify existing forms of alienated labour and reshape higher education into what is described as the automatic university. Using a conceptual and critical methodology, the analysis synthesises key contributions from Marxian theory, critical political economy, and scholarship on digital labour and AI in education. The findings show that academic work is increasingly organised through automated governance that restructures time, evaluation, and judgement, leading to the dehumanisation of educational practices. The article concludes that educational resistance must be understood as a collective and institutional project, and that an ethics of academic work requires reclaiming judgement, authorship, and epistemic responsibility within increasingly automated universities.
Co-Authors Aisya Ramadhani Ely Siswanto Fahrizal Fahrizal Rizma Fauziyah Subagyo Subagyo