Analisis Financial Distress Pada Perusahaan Sektor Transportasi dan Logistik Yang Terdaftar di Bursa Efek Indonesia Periode 2018-2022
DOI:
https://doi.org/10.35870/jemsi.v10i1.1942Abstract
Penelitian ini bertujuan untuk mengetahui kondisi financial distress pada perusahaan transportasi dan logistik yang terdaftar di Bursa Efek Indonesia periode 2018-2022 dengan menggunakan metode Altman Z-Score. Penelitian ini bersifat deskriptif kuantitatif. Teknik pengambilan sampel dalam penelitian ini menggunakan purposive sampling, dari 43 populasi yang ada diperoleh 14 sampel untuk penelitian. Sumber data dalam penelitian ini adalah laporan keuangan perusahaan sektor transportasi dan logistik yang dapat diakses dan diunduh dari situs resmi Bursa Efek Indonesia. Hasil penelitian menunjukkan bahwa kondisi financial distress pada perusahaan transportasi dan logistik di Bursa Efek Indonesia periode 2018-2022 relatif rendah. Dari 14 perusahaan yang dianalisis, 4 perusahaan mengalami financial distress, 1 perusahaan berada dalam kondisi grey area dan 9 perusahaan berada dalam kondisi safe zone
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References
Altman, E. I., & McGough, T. P. (1974). Evaluation of a company as a going concern. The Journal of Accounting, 138(6).
Badan Pusat Statistik. (2023). Pertumbuhan Ekonomi Indonesia Triwulan III-2022. Jakarta. www.bps.go.id Diakses pada tanggal 25 Februari 2023.
Bursa Efek Indonesia. (2023). Laporan Keuangan & Tahunan. www.idx.co.id Diakses pada tanggal 01 Maret 2023.
Darsono & Ashari. (2010). Pedoman Praktis Memahami Laporan Keuangan. Yogayakarta: Penerbit Andi.
Fahmi, I. (2015). Analisis Laporan Keuangan. Cetakan Kelima. Bandung: Alfabeta.
Febriana, S. K., & Wahidahwati. (2018). Analisis Perbandingan Model Altman Z-Score, Zmijewski, Ohlson, dan Grover dalam Memprediksi Financial Distress. Jurnal Ilmu dan Riset Akuntansi, 7(9).
Hanafi, I., & Supriyadi, S. G. (2018). Prediksi Financial Distress Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia. Jurnal Ekuivalensi, 4(1), 24-51.
Harahap, Rahmawati, L., Wulandari, S., Thoyib, E., & Effendy, R. Y. (2020). Penggunaan Metode Altman Z-Score Dalam Analisis Risiko Keuangan PT. BTPN Syariah, Tbk. Jurnal Ilmu Manajemen, 10(1): 15-24.
Harahap, S. S. (2007). Analisis Kritis atas Laporan Keuangan. Jakarta:PT. Raja Grafindo Persada.
Platt, H., & Platt, M. (2002). Predicting Corporate Financial Distress: Refrection on Choice-Based Sample Bias. Journal of Economic.
Puspitasari, D. M., Roespinoedji, D., & Napitupulu, S. (2020). Applicability of Altman Model in Predicting Financial Distress: Evidence from Rural Bank in Indonesia. Solid State Technology, 63(3).
Putra, G. B. (2019). Analisis Prediksi Kebangkrutan Model Altman Dan Pendapat Auidtor Pada Perusahaan Sektor Infrastruktur, Utilitas Dan Transportasi Di Bursa Efek Indonesia. Pontianak: UNIVERSITAS MUHAMMADIYAH PONTIANAK.
Rudianto. (2013). Akuntansi Manajemen Informasi Untuk Pengambilan Keputusan Strategis. Jakarta: Erlangga.
Sugiyono, A., & Untung, E. (2016). Analisis Laporan Keuangan. Jakarta: PT Grasindo.
Sumani. (2019). The Structure of Good Corporate Governance and Financial Indicators as Predictor of Financial Distress in Mining Sector Company in Indonesia. Research in Business and Management, 6(1), 1-12.
Ullah, H., Wang, Z., Abbas, M. G., Zhang, F., Shahzad, U., & Mahmood, M. R. (2021). Association of Financial Distress and Predicted Bankruptvy: The Case of Pakistani Banking Sector. Journal of Asian Finance, Economics and Business, 8(1), 573-585. https://doi.org/10.13106/jafeb.2021.vol8.no.1.573
Whitaker, R. B. (1999). The Earley Stages of Financial Distress. Journal of Economics and Finance.
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