Rani Sukma Ayu, Natalia Titik Wiyani, Merintan Berliana Simbolon

Pengaruh Rasio Solvabilitas, Likuiditas, Dan Aktivitas Terhadap Kinerja Keuangan Perusahaan Sektor Transportasi & Logistik Yang Terdaftar Di Bursa Efek Indonesia Tahun 2020-2024

Introduction

Pengaruh rasio solvabilitas, likuiditas, dan aktivitas terhadap kinerja keuangan perusahaan sektor transportasi & logistik yang terdaftar di bursa efek indonesia tahun 2020-2024. Analisis pengaruh solvabilitas, likuiditas, dan aktivitas terhadap kinerja keuangan (ROA) perusahaan transportasi & logistik di BEI 2020-2024. Likuiditas & aktivitas berpengaruh signifikan.

Abstract

Perusahaan di sektor transportasi dan logistik memiliki tujuan utama untuk meningkatkan kinerja keuangan sebagai dasar keberlanjutan usahanya. Salah satu ukuran kinerja yang digunakan adalah Return on Assets (ROA). Penelitian ini bertujuan untuk menganalisis pengaruh solvabilitas, likuiditas, dan aktivitas terhadap kinerja keuangan perusahaan transportasi dan logistik yang tercatat di Bursa Efek Indonesia (BEI) selama periode 2020–2024. Sampel dalam penelitian ini dipilih menggunakan metode purposive sampling berdasarkan kriteria tertentu, dan diperoleh 10 perusahaan sebagai sampel penelitian. Data yang digunakan adalah data sekunder berupa laporan keuangan tahunan, dan pengolahan data dilakukan menggunakan software SPSS versi 26. Teknik analisis yang digunakan dalam penelitian ini adalah regresi linier berganda. Hasil penelitian menunjukkan bahwa solvabilitas tidak berpengaruh signifikan terhadap kinerja keuangan yang diukur dengan Return on Assets (ROA), likuiditas dan aktivitas berpengaruh signifikan terhadap kinerja keuangan, dan secara simultan ketiga variabel tersebut berpengaruh signifikan terhadap kinerja keuangan perusahaan sektor transportasi dan logistik di Indonesia pada periode 2020–2024.

Review

The study, "Pengaruh Rasio Solvabilitas, Likuiditas, Dan Aktivitas Terhadap Kinerja Keuangan Perusahaan Sektor Transportasi & Logistik Yang Terdaftar Di Bursa Efek Indonesia Tahun 2020-2024," addresses a pertinent and timely topic concerning the financial performance of Indonesian transportation and logistics companies. By investigating the impact of solvency, liquidity, and activity ratios on Return on Assets (ROA) during the challenging 2020-2024 period, the research offers valuable insights into a critical sector. The clear objective, focused industry scope, and the application of multiple linear regression using SPSS for data analysis are commendable. The findings—highlighting the significant influence of liquidity and activity, and the simultaneous effect of all three ratios, while solvency shows no significant individual impact—provide specific actionable intelligence for stakeholders. While the study presents a clear methodology, several aspects could be strengthened to enhance its rigor and generalizability. The sample size of 10 companies, even over a five-year period, might be relatively small for a robust regression analysis, potentially impacting the statistical power and external validity of the findings. Furthermore, the specified period (2020-2024) encompasses the unprecedented economic disruptions caused by the global pandemic; the abstract does not indicate whether the unique characteristics and potential structural shifts of this era were specifically considered or controlled for in the analysis. A more detailed explanation of the specific ratios used for solvency, liquidity, and activity would also benefit clarity, ensuring replicability and a deeper understanding of the measured variables. Lastly, the abstract does not mention the theoretical framework underpinning the research or the diagnostic tests conducted to validate the assumptions of multiple linear regression, which are crucial for the reliability of the results. To bolster the study's contribution, it is recommended to consider expanding the sample size or the observation period to improve the robustness and generalizability of the conclusions. Future iterations could also benefit from incorporating control variables such as firm size, age, or macroeconomic indicators to provide a more comprehensive understanding of the factors influencing financial performance. Given the distinct nature of the 2020-2024 period, a deeper analysis could explore the specific impacts of the pandemic on these relationships or conduct comparative analyses with pre-pandemic data. Additionally, exploring other financial performance metrics (e.g., Return on Equity, Net Profit Margin) or investigating mediating and moderating variables relevant to the transportation and logistics industry (e.g., technology adoption, supply chain resilience) would offer rich avenues for further research, providing more nuanced implications for strategic decision-making in the sector.

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