Choiriyah, Nanda Septiani
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Analisis laporan keuangan untuk mengukur kinerja keuangan pada PT Kimia Farma Tbk Periode 2018-2022 Yuliana, Mia Noor Aida; Choiriyah, Nanda Septiani; Endarwati
Journal of Economics, Business, Accounting and Management Vol. 1 No. 2 (2023): Journal of Economics, Business, Accounting and Management
Publisher : CV. Kurnia Grup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61476/1vgq9936

Abstract

Assessment of the financial performance of a company can be done by analyzing the company's financial statements for a certain period. In order for financial reports to be meaningful to users or those with an interest in financial reports, it is necessary to carry out an analysis of financial statements. The purpose of this study was to find out the analysis of financial statements to measure financial performance at PT Kimia Farma Tbk for the 2018-2022 period. The analytical method used is descriptive analysis using measurements of liquidity, solvency, activity and profitability ratios. The type of data used in this study is quantitative data sourced from secondary data, namely documents from the IDX/Indonesian Stock Exchange (IDX). The results of the study show that based on the calculation of the liquidity ratio, the company's financial performance is said to be unfavorable, marked by a decline that causes the company to be unable to carry out or pay its current obligations. Based on the calculation of the solvency ratio, it produces data that the company has increased, which makes the company's condition very worrying because the company is unable to pay debts in a timely manner. Based on the calculation of the activity ratio, it can be concluded that the overall condition of the company is good because the activity ratio has not decreased so that the company has been able to maximize the capacity of the company's fixed assets. Meanwhile, based on the calculation of the profitability ratio, it is not good because it has not been able to generate large profits and has not been able to manage the company's investment.
PENGARUH STRUKTUR MODAL, SALES GROWTH, PROFITABILITAS, DAN OPERATING CAPACITY TERHADAP FINANCIAL DISTRESS: (Studi Empiris Perusahaan Sektor Transportasi dan Logistik yang Terdaftar di Bursa Efek Indonesia (BEI) Periode 2020-2024) Choiriyah, Nanda Septiani; Endarwati, Endarwati
AKRUAL : Jurnal Akuntansi dan Keuangan Vol. 7 No. 2 (2025): AKRUAL: Jurnal Akuntansi dan Keuangan
Publisher : Fakultas Ekonomi dan Bisnis Universitas Islam As-Syafi'iyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/gwwm0872

Abstract

ABSTRAK Tingginya jumlah perusahaan yang mengalami kesulitan keuangan pasca pandemi, seperti PT Sritex, PT Sepatu Bata Tbk, Pegipegi, dan BPR Artafik Indonesia, mencerminkan lemahnya ketahanan keuangan perseroan dalam menghadapi dinamika bisnis yang tidak menentu. Situasi ini menunjukkan pentingnya bagi perusahaan untuk memperkirakan risiko kebangkrutan dengan memahami faktor keuangan yang memicu kesulitan keuangan. Namun, hasil penelitian sebelumnya menunjukkan ketidakpastian pengaruh variabel-variabel tersebut, terutama struktur modal dan pertumbuhan penjualan, sehingga diperlukan penelitian lebih lanjut. Penelitian ini bertujuan untuk mengkaji pengaruh struktur permodalan, pertumbuhan penjualan, profitabilitas, dan kapasitas operasi terhadap kesulitan keuangan pada perusahaan sektor transportasi dan logistik yang tercatat di BEI periode 2020-2024. Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder berupa laporan keuangan tahunan dan metode analisis yang digunakan adalah regresi linier berganda. Kesulitan keuangan diukur menggunakan metode Altman Z-Score yang dimodifikasi. Alat uji yang digunakan dalam penelitian ini adalah SPSS versi 30. Hasil penelitian menunjukkan bahwa: (1) struktur modal memiliki pengaruh yang signifikan terhadap kesulitan keuangan, (2) pertumbuhan penjualan tidak berpengaruh pada kesulitan keuangan, (3) profitabilitas memiliki pengaruh yang signifikan terhadap kesulitan keuangan, dan (4) kapasitas operasi tidak berpengaruh pada kesulitan keuangan. Harapan dari penelitian ini dapat menjadi pedoman bagi perusahaan dalam mengambil keputusan strategis untuk menghindari kesulitan keuangan, sekaligus menjadi acuan bagi investor dan akademisi. Kebaruan penelitian ini terletak pada penambahan variabel kapasitas operasional dan penggunaan data dari periode terakhir. ABSTRACT The high number of companies experiencing financial difficulties post-pandemic, such as PT Sritex, PT Sepatu Bata Tbk, Pegipegi, and BPR Artafik Indonesia, reflects the company's weak financial resilience in facing uncertain business dynamics. This situation demonstrates the importance for companies to estimate the risk of bankruptcy by understanding the financial factors that trigger financial stress. However, previous research results indicate uncertainty in the influence of these variables, particularly capital structure and sales growth, so further research is needed. This study aims to examine the influence of capital structure, sales growth, profitability, and operational capacity on the financial difficulties of transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. This study uses a quantitative approach with secondary data in the form of annual financial reports and the analytical method used is multiple linear regression. Financial distress is measured using the modified Altman Z-Score method. The testing tool used in this study is SPSS version 30. The results of the study indicate that: (1) capital structure has a significant effect on financial distress, (2) sales growth does not affect financial distress, (3) profitability has a significant effect on financial distress, and (4) operational capacity does not affect financial distress. It is hoped that this research can guide companies in making strategic decisions to avoid financial distress, as well as serve as a reference for investors and academics. The novelty of this research lies in the addition of operational capacity variables and the use of more recent data.