PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN TRANSPORTASI LAUT YANG GO PUBLIC DI BURSA EFEK INDONESIA
DOI:
https://doi.org/10.33556/jstm.v22i1.286Abstract
Tujuan dari penelitian ini adalah untuk mengetahui gejala masalah keuangan dan untuk melihat kemungkinan terjadinya financial distress pada perusahaan jasa transportasi laut yang terdaftar di Bursa Efek Indonesia. Terdapat enam perusahaan jasa transportasi laut yang dijadikan sampel dalam penelitian ini yang diantaranya telah diprediksi mengalami financial distress. Mereka adalah PT. Humpuss Intermoda Transportasi, PT. Indo Straits, PT. Rukun Raharja, PT. Samudera Indonesia, PT. ICTSI Jasa Prima, dan PT. Pelayaran Tempura Emas, pada periode 2018 - 2019. Penelitian ini menggunakan model analisis Altman Z” Emerging Market Score sebagai alat analisisnya dimana terbagi dalam tiga kondisi yaitu kondisi sehat, rawan, dan financial distress. Dari hasil penelitian telah membuktikan bahwa dari keenam perusahaan yang berada pada kondisi financial distress dinyatakan lebih dominan, dan lainnya juga berpotensi mengalami financial distress. Hanya satu perusahaan yang berada pada kondisi keuangan yang sehat yaitu PT. Rukun Raharja, Tbk. Sehingga, perusahaan perlu meningkatkan dan memperbaiki kinerja keuangan mereka untuk mencegah resiko kebangkrutan.
Kata kunci: Financial Distress, Perusahaan Jasa Transportasi Laut, Z” Emerging Market ScoreReferences
Altman,Edward I. 1968. financial ratios, discriminant analysis and the prediction of corporate bankruptcy, The Journal of Finance, vol 23, Issue 4.
Emery,Douglas.R;Finnerty,John.D; Stowe, John.D.2004. “Corporate Financial Management”. Pearson/Prentice Hall
Meeampol, Sasivimol dkk.2014.“Applying Emerging Market Z-Score Model To Predict Bankruptcy:A Case Study Of Listed Companies In The Stock Exchange Of Thailand (SET)”.Riset.Kasetsart University, Thailand
Mu-Yen Chen, 2011, Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches , Departemen of Information Management, National Taichung Institute of Technology,Taichung 404, Taiwan, ROC. Elsevier Ltd. All rights reserved
Myles, Coelho.2014.“Predicting Corporate Failure: an application of Altman's ZScore and Altman's EMS models to the JSE Alternative Exchange from 2008 to 2012”.Disertasi.University of Cape Town. South Africa.
Platt & Platt. 2002. Journal of Economics and Finance Vol.26. no.2 Summer2002 ”Predicting Corporate Financial Distress: Reflections on Choice-Based Sample Bias”
Springate, G. L. 1978. Predicting the Possibility of Failure in a Canadian Firm. Master of Business Administra-tion Project (Unpublished). Simon Fraser Univer-sity.
Suhartono, Anton.2015.”Setelah Indonesia, General Motors Tutup Pabrik di Rusia” Melalui <http://news.okezone.com/read/2015/03/19/15/1120860/ setelah-indonesia-general-motors-tutup-pabrik-di-rusia>
Supardi dan Sri Mastuti. 2003. Validitas Penggunaan Z-Score Altman Untuk Menilai Kebangkrutan Pada Perusahaan Perbankan Go Publik Di Bursa Efek Jakarta. Dalam Kompak No. 7. Januari-April
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