Main Article Content

Abstract

This study aims to determine the company's financial condition based on the Altman (Z-Score) method and the effect of the ratio of Working Capital to Total Assets, Retained Earning to Total Assets, Earning Before interest and tax to Total Assets and Market Value of Equity to Book Value of Debt on the company's financial soundness (Altman Z-score). The population in this study is the transportation sector listed on the Indonesia Stock Exchange for the period 2019-2021. Sampling in this study was to use the purposive sampling method so as to obtain a sample of 36 from 12 companies. The data used in this study is the company's annual financial statements obtained from the Indonesia Stock Exchange. The data is then grouped and entered into the Altman Z-score formula and analyzed using the multiple linear regression method using the SPSS version 23 program. The results from the Altman Z-score show that in 2019 there were 5 companies in good health, 4 companies in an emergency (grey area) and 3 companies in a potentially bankrupt condition. In 2020 there are 6 companies in good health, 4 companies in an emergency (grey area) and 2 companies in a potentially bankrupt condition. In 2021 there are 6 companies in good health, 3 companies in an emergency (grey area) and 3 companies in a potentially bankrupt condition. Meanwhile, the results of the analysis test show that the variables Working Capital to Total Assets, Retained Earning to Total Assets, Earning Before Interest and Tax to Total Assets and Market Value Of Equity to Book Value Of Debt, individually and jointly significant effect the level of financial health of the company (Altman Z-score).

Keywords

WCTA RETA EBITA MVBV Altman Z-Score

Article Details

How to Cite
Aidi, A., Setiawan, T. W., Junaidi, A., Budiwaluyo, A., & Agoestyowati, R. (2022). Analysis of Financial Health Level Using the Z-Score (Altman) Method in Transportation Companies Listed on the Indonesia Stock Exchange for the 2019-2021 Period. Ilomata International Journal of Tax and Accounting, 3(4), 461-473. https://doi.org/10.52728/ijtc.v3i4.605

References

  1. Almamy, J., Aston, J., & Ngwa, L. N. (2016). An evaluation of Altman’s Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK. Journal of Corporate Finance, 36, 278–285. https://doi.org/10.1016/j.jcorpfin.2015.12.009
  2. Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and The Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
  3. Altman, E. I., & Hotchkiss, E. (2005). Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt (3rd ed.). Wiley Publishing. https://www.amazon.com/Corporate-Financial-Distress-Bankruptcy-Distressed/dp/0471691895/ref=sr_1_4?qid=1669384914&refinements=p_27%3AEdward+I.+Altman&s=books&sr=1-4
  4. Altman, E. I., Hotchkiss, E., & Wang, W. (2019). Corporate Financial Distress, Restructuring, and Bankruptcy: Analyze Leveraged Finance, Distressed Debt, and Bankruptcy (4th ed.). Wiley Publishing. https://www.amazon.com/Corporate-Financial-Distress-Restructuring-Bankruptcy/dp/1119481805/ref=sr_1_1?qid=1669384914&refinements=p_27%3AEdward+I.+Altman&s=books&sr=1-1
  5. Asia, E. V., & Irwan. (2015). Pengaruh Rasio Keuangan Terhadap Prediksi Kebangkrutan (Altman ZScore) Industri Makanan dan Minuman yang terdaftar di Bursa Efek Indonesia Tahun 2009 - 2011. Visionida, 1(1), 47–59. https://doi.org/https://doi.org/10.30997/jvs.v1i1.198
  6. Badan Pusat Statistik. (2021). Jumlah Penumpang Domestik berdasarkan Moda Transportasi Pesawat Terbang menurut provinsi 2019-2020. https://www.bps.go.id/indicator/17/2024/1/jumlah-penumpang-domestik-berdasarkan-moda-transportasi-pesawat-terbang-menurut-provinsi.html
  7. Bilal, M., Suharno, & Dewi, N. (2021). Pelaksanaan Peraturan Menteri Perhubungan RI No. 18 Tahun 2020 tentang Pengendalian Transportasi dalam Rangka Pencegahan Covid 19. Jurnal Supremasi, 115–129. https://doi.org/10.35457/supremasi.v11i1.1316
  8. Bursa Efek Indonesia. (2022). Layanan Data BEI. IDX. https://www.idx.co.id/id/produk/layanan-data-bei
  9. Creswell, J. W. (2017). Research Design Pendekatan Kualitatif, Kuantitatif, dan Mixed (S. Z. Qudsy (ed.); 3rd ed.). Pustaka Pelajar. https://opac.perpusnas.go.id/DetailOpac.aspx?id=1213690
  10. Darwis, N. (2014). Aspek Hukum Pengguna Jasa Transportasi Udara Komersil. Jurnal Ilmiah Hukum Dirgantara, 7(2), 1–12. https://doi.org/10.35968/jh.v7i2.130
  11. Elliott, R. J., Siu, T. K., & Fung, E. S. (2014). A Double HMM approach to Altman Z-scores and credit ratings. Expert Systems with Applications, 41(4), 1553–1560. https://doi.org/10.1016/j.eswa.2013.08.052
  12. Gilson, S. C., & Altman, E. I. (2010). Creating Value Through Corporate Restructuring: Case Studies in Bankruptcies, Buyouts, and Breakups (2nd ed.). Wiley Publishing. https://www.amazon.com/Creating-Value-Through-Corporate-Restructuring/dp/0470503521/ref=sr_1_2?qid=1669384914&refinements=p_27%3AEdward+I.+Altman&s=books&sr=1-2
  13. Ikhsan, M. T., Rusadi, D., & Ghalih, M. (2019). Analisis Pengaruh Jumlah Keberangkatan Penumpang di Bandara Pada Penerbangan Domestik dan Internasional di Indonesia. Jurnal Riset Akuntansi Politala, 2(1), 8. https://doi.org/10.34128/jra.v2i1.11
  14. Kadarisman, M., Gunawan, A., & Ismiyati, I. (2015). Implementasi Kebijakan Sistem Transportasi Darat dan Dampaknya Terhadap Kesejahteraan Sosial di Jakarta. Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG), 2(1), 59. https://doi.org/10.54324/j.mtl.v2i1.129
  15. Karlingsih, K. (2021). Analisis Finansial Distress Dengan Model Altman Z-Score. COMPETITIVE Jurnal Akuntansi Dan Keuangan, 5(2), 100. https://doi.org/10.31000/competitive.v5i2.4301
  16. Leki, R. (2021). Penerapan Model Altman Z-Score dalam Mengukur Potensi Kebangkrutan (Studi Kasus pada Perusahaan Perbankan BUMN yang Terdaftar di Bursa Efek Indonesia Tahun 2018 & 2019). Jurnal Ilmiah Ekonomi Bisnis, 7(1), 148–158. https://doi.org/10.35972/jieb.v7i1.448
  17. Listantari, L., Gusleni, Y., Soemardjito, J., & Purwoto, H. (2022). Strategi Peningkatan Pelayanan Transportasi Antarmoda Terpadu di Kota Palembang. Jurnal Transportasi Multimoda, 19(2), 7–16. https://doi.org/10.25104/mtm.v19i2.2035
  18. Masitha. (2022). Analisis Tingkat Kesehatan Keuangan Sebelum dan Selama Pandemi Covid-19 dengan Metode Altman Z-Score pada Perusahaan Pariwisata, Restoran dan Hotel yang Terdaftar di Bursa Efek Indonesia [Universitas Negeri Makassar]. http://eprints.unm.ac.id/24109/
  19. Mu’allimah, M., & Mashpufah, R. N. (2022). Analisis Kebijakan Pemerintah Provinsi DKI Jakarta dalam Mengatasi Permasalahan Transportasi di Perkotaan. Jurnal Manajemen Dan Ilmu Administrasi Publik (JMIAP), 291–296. https://doi.org/10.24036/jmiap.v3i4.334
  20. Nafi’ah, B. A. (2021). Kajian Ekonomi Politik Transportasi Massa:Studi Kasus Kebijakan Transportasi Massa di DKI Jakarta. Jejaring Administrasi Publik, 12(2), 148–176. https://doi.org/10.20473/jap.v12i2.29353
  21. Pitalokananta, A. (2022). Analisis Prediksi Kebangkrutan dengan Altman Z-Score pada Perusahaan Transportasi yang Terdaftar di BEI Periode 2019-2021 [Universitas Pancasakti Tegal]. http://repository.upstegal.ac.id/5248/
  22. Pratama, J. J. (2022). Analisis Prediksi Kebangkrutan Menggunakan Model Altman Z-Score (Studi Pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia) [Institut Agama Islam Negeri Batusangkar]. https://repo.iainbatusangkar.ac.id/xmlui/bitstream/handle/123456789/25460/1652949693914_perbaikan skripsi.pdf?sequence=1
  23. Putri, N. I., & Diyani, L. A. (2016). Analisis Rasio Keuangan dan Metode Z-Score untuk Menilai Kinerja Keuangan serta Memeprediksi Kebangkrutan pada PT Herba Medica Indonesia Tahun 2010-2012. Kalbis Socio: Jurnal Bisnis Dan Komunikasi, 3(1), 1–11. http://research.kalbis.ac.id/Research/Files/Article/Full/8J95EORLCO77HZ47150V6CM8O.pdf
  24. Qiu, W., Rudkin, S., & Dłotko, P. (2020). Refining understanding of corporate failure through a topological data analysis mapping of Altman’s Z-score model. Expert Systems with Applications, 156, 113475. https://doi.org/10.1016/j.eswa.2020.113475
  25. Rim, E. K., & Roy, A. B. (2014). Classifying Manufacturing Firms in Lebanon: An Application of Altman’s Model. Procedia - Social and Behavioral Sciences, 109, 11–18. https://doi.org/10.1016/j.sbspro.2013.12.413
  26. Rudianto. (2013). Akuntansi Manajemen: Informasi untuk Pengambilan Keputusan Strategis (1st ed.). Erlangga. http://pustaka.unm.ac.id/opac/detail-opac?id=44464
  27. Samuel, S., & Pardosi, B. R. (2022). Studi Perancangan Kapal Ferry Ro-Ro Model Katamaran di Perairan Danau Toba. Jurnal Rekayasa Mesin, 13(2), 503–512. https://doi.org/10.21776/jrm.v13i2.1085
  28. Sembe, A., Mokodompit, M., & Parastri, D. H. (2021). Analisis Z-Score Dalam Mengukur Kinerja Keuangan Untuk Memprediksi Kebangkrutan Perusahaan Transportasi Yang Terdaftar Di BEI Pada Masa Pandemi Covid-19. ACE: Accounting Research Journal, 1(2), 137–150. https://journal.feb.unipa.ac.id/index.php/ace/article/view/182
  29. Sugeng, S. (2010). Dampak Pelayaran Kapal Laut di Alur Sungai Musi. Gema Teknologi, 16(1), 49. https://doi.org/10.14710/gt.v16i1.366
  30. Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D – MPKK (I). Alfabeta. https://cvalfabeta.com/product/metode-penelitian-kuantitatif-kualitatif-dan-rd-mpkk/
  31. Widiyatmoko, F. (2018). Dinamika Kebijakan Transportasi Online. Journal of Urban Sociology, 1(2), 55. https://doi.org/10.30742/jus.v1i2.570
  32. Wu, D., Ma, X., & Olson, D. L. (2022). Financial distress prediction using integrated Z-score and multilayer perceptron neural networks. Decision Support Systems, 159, 113814. https://doi.org/10.1016/j.dss.2022.113814

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