Wanda Ragilita Azzahro
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Analisis Profitabilitas dalam Kinerja Keuangan dan Ukuran terhadap Nilai Perusahaan di PT. IBU (Indo Beras Unggul) Muhammad Fikri Haikal; Hananda Faisa Putri; Nadia Zahratunisa; Delima Pebrianti Salsabila; Pradipta Rizky Ferdian; Nurlaela Fitriyani; Melia Kusnadi; Lanny Evita Tandayu; Alimah Yuliastuti; Mutia Angraeni; Wanda Ragilita Azzahro
JUMBIWIRA : Jurnal Manajemen Bisnis Kewirausahaan Vol. 4 No. 1 (2025): April : Jurnal Manajemen Bisnis Kewirausahaan
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jumbiwira.v4i1.2076

Abstract

This study aims to analyze how profitability in financial performance and company size affect company value, with a case study on PT. Indo Beras Unggul (PT. IBU). Profitability is an important indicator in measuring the efficiency and effectiveness of management in generating profits. Meanwhile, company size is often associated with stability, access to financing, and investor perceptions of risk. Using a qualitative approach, data were obtained through financial report documentation, literature studies, and descriptive analysis of the company's internal conditions. The results of the study indicate that increasing profitability is directly proportional to increasing company value, but company size is not always directly correlated to that value, depending on market perception and operational efficiency. This study recommends that companies must maintain a balance between size growth and profitability effectiveness to keep company value competitive.
Pengaruh Kemampuan Analisis Kuantitatif dan Penguasaan Statistika terhadap Pengambilan Keputusan Manajerial pada Mahasiswa Prodi Manajemen Mahasiswa di Bekasi Wanda Ragilita Azzahro; Laili Nur Maulinasari; Muhammad Kosim; Ika Puspita; Rizky Aulia Putri Aisyah; Kiki Mustingatun
Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak Vol. 2 No. 3 (2025): September : Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak (JIEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jieap.v2i3.1396

Abstract

This study aims to analyze the influence of quantitative analysis skills and statistical mastery on managerial decision-making among Management students in Bekasi. The background of this study is based on the importance of data literacy and analytical skills in supporting effective decision-making processes, especially amidst the increasing demand for data-driven businesses. This study used a quantitative approach with a census technique on 67 respondents. Data were collected through questionnaires and analyzed using multiple linear regression through classical assumption tests, partial tests (t-tests), and simultaneous (F-tests). The results showed that both quantitative analysis skills and statistical mastery have a positive and significant effect individually on managerial decision-making skills. Quantitative analysis skills, which include the ability to process data in numerical form and interpret it critically, have been shown to strengthen decision-making skills in various situations. Likewise, statistical mastery provides a foundation for analyzing data systematically and producing evidence-based decisions. Simultaneously, these two variables explain 60.8% of the variation in decision-making. These findings emphasize the importance of mastering quantitative and statistical skills for students in facing the complexity of decision-making in a professional environment. This study recommends strengthening the curriculum and providing practical data-based training to improve students' readiness for more informed and analytically sound managerial decision-making. Furthermore, it is recommended that students be given more opportunities to engage in case studies involving real-world data, as well as the use of statistical software that can accelerate the analysis and decision-making process. Improving data and statistical literacy will give students a competitive advantage in an increasingly data-driven business world.