BANKRUPTCY PREDICTION OF LISTED CEMENT COMPANY IN INDONESIAN STOCK EXCHANGES USING ALTMAN Z-SCORE MODEL

Arifia Fitriani, Alizar Hasan, Ahmad syafruddin Indrapriyatna

Abstract


Ratio analysis is one of the most competent tools to predictthe bankruptcy of a company. In this paper the bankruptcyprediction of listed cement company in Indonesian StockExchanges has been evaluated using Altman Z-score. Thisstudy aims to determine the level of the bankruptcy of thelisted cement companies in the Indonesian Stock Exchangeduring 2013 to 2017. There are four listed cementcompanies, namely PT Semen A, PT Semen B, PT Semen Cand PT Semen D. Based on the results of the research, itshows that PT Semen A, PT Semen B and PT Semen C are inthe safe zone with the highest Z value which is 15,822 andthe lowest Z value which is 3,542. PT Semen D is in thebankrupt zone because it has a Z value below 1.8. For thatreason, all companies need to improve the performanceimmediately to avoid the bankruptcy happening. There aremany ways to avoid the bankruptcy such as improving thesales revenue, improving operational cost and wastereduction in operation.

Keywords


Altman Z-Score; Bankruptcy; Ratio Analysis

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References


Akhmad, J., Wahyu, E.S., Ilyas, M. (2015). Reducing Waste dengan Menggunakan Pendekatan Lean Manufacturing. Jurnal Spektrum Industri, Vol 13(1), 41-50.

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589-609. http://dx.doi.org/10.1111/j.1540-6261.1968.tb00843.x

Altman, E. I., and Hotchkiss, E. (2006). Corporate Financial Distress and Bankruptcy (3rd ed.). John Wiley and Sons, Inc., Hoboken, New Jersey.

Ananda, S., Risa, A., Andika, P.S. (2018). Analisis Capital Budgeting Sebagai Alat Pengambilan Keputusan Investasi: Studi Kasus. Jurnal Spektrum Industri, Vol 16(2), 219-225.

Asosiasi Semen Indonesia (ASI). 2018. Diambil dari www.asi.or.id/

BillY, Y., Wiwik, S. (2018). Model Manajemen Kualitas MBNQA dalam Meningkatkan Daya Saing Produk UKM di Kabupaten Sidoarjo. Jurnal Spektrum Industri, Vol 16(2), 191-200.

Eddy, Herry Rodiana. (2010). Potensi Bahan Baku Semen di Indonesia Timur. Kelompok Program Penelitian Mineral Pusat Sumber Daya Geologi.

Fataya, M., Alamsyah, AB., Iwan, K. (2017). Analisis Financial Distress Perusahaan Semen di Bei Periode 2011-2015. Jurnal Ilmu Manajemen dan Bisnis, Vol. 5, 15-24.

Futkhatul Nur Khamidah dan Pandi Afandi. (2012). Analisis Tingkat Kesehatan Keuangan pada Perusahaan Semen Go Public di Bursa Efek Indonesia. Among Makarti. Vol.5 No.9, Juli 2012.

Gasperz, V., & Fontana, A. (2007). Lean Six Sigma for Manufacturing and Engineering (p. 6). International Conference.

Handayani, D.I. (2016). A Review: Potensi Risiko pada Supply Chain Risk Management. Jurnal Spektrum Industri, Vol 14(1), 25-35.

Hartono,G., Putro, TN., Farhan, F., Fitrianingtyas, R. (2010). Analisis Kinerja Proses dan Produk dengan Pendekatan Metodologi Six Sigma (DMAIC) untuk Produk Teh Botol pada PT. XYZ. INASEA, 11(1), 58-69.

Kartini, Nuri. (2019). Pendekatan Six Sigma untuk Mengurangi Produk Cacat pada Produksi Botol Di CV XYZ. Jurnal Spektrum Industri, Vol 17(1), 61-68.

Halkadri, Fitra. (2015). Analisis Komparasi Model Potensi Kebangkrutan pada Perusahaan Semen yang Terdaftar Di Bursa Efek Indonesia. Universitas Negeri Padang.

Kumari, Nilanjana. (2013). Evaluation of Financial Health of MMTC of India: A Z Score Model. European Journal of Accounting Auditing and Finance Research.

Sutrisno. (2013). Manajemen Keuangan. Yogyakarta: Ekonisia.

Tannady, H. (2015). Pengendalian Kualitas. Yogyakarta: Graha Ilmu.

Trenggonowati, Dyah Lintang. (2017). Metode Pengembangan Produk QFD untuk Meningkatkan Daya Saing Perusahaan. Jurnal Spektrum Industri, Vol 15(1), 1-18.




DOI: http://dx.doi.org/10.12928/si.v17i2.13961

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