Analisis Prediksi Kebangkrutan Dengan Menggunakan Model Altman (Z-Score) Pada Perusahaan Subsektor Otomotif Dan Komponen Yang Terdaftar DI Bursa Efek Indonesia (original) (raw)
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2016
Saat ini industi otomotif seakan menguasai daerah pemasaran negeri ini, sehingga perusahaan otomotif mau tidak mau harus berani mengambil langkah yang tepat untuk persaingan tersebut. Financial distress sering kali dapat diartikan dalam tahap yang dekat dengan adanya ketidakpastian profitabilitas perusahaan pada masa yang akan datang. Kondisi financial distress diukur dengan melakukan analisis terhadap laporan keuangan perusahaan pada tahun-tahun sebelumnya dengan menggunakan alat uji analisis diskriminan (z-score) yang berfungsi untuk memprediksi kebangkrutan pada perusahaan dengan tingkat ketepatan dan keakuratan yang relatif dapat dipercaya. Penelitian ini bertujuan menganalisis dan mengetahui posisi nilai Z-score pada Perusahaan Automotive and Alliance yang terdaftar di Bursa Efek Indonesia tahun 2012-2014. Jenis penelitian ini adalah penelitian deskriptif. Sampel perusahaan sebanyak 16 perusahaan dengan populasi sebanyak 17 perusahaan. Jenis dan sumber daya adalah data sekunder...
Abstract This research aimed to predict bankruptcy using the Altman Z-Score and Springate on mining companies sub-sector oil and gas companies listed on the Stock Exchange 2009-2012. One of the things behind the decline in revenues caused by the company's oil and gas industry. And a decline in oil production from year to year. By using quantitative descriptive method, the population in this study is a sub-company financial statements of oil and gas mining. The type of sample used is purposive sampling to obtain a sample of five companies, namely Prabu Energi Tbk (ARTI), Benakat Petroleum Energy Tbk (BIPI), Elnusa Tbk (ELSA), Energi Mega Persada Tbk (ENRG), dan Radiant Utama Interinsco Tbk (RUIS). The results showed the company's bankruptcy prediction mining and oil and gas sub-sector model with Altman Z-Score, for ARTI 2009 in the category of distress zone, in the following years in the category of gray zone. BIPI always get into the safe category. ELSA in 2009 and 2010 are in the category of a safe zone, and in the next two years are in the gray zone category. For each year the ENRG always fall into the category distress zone. Ruis 2009 in the category of safe zone, 2010 in the category of gray zone, and the following year in the category distress zone. Prediction of corporate bankruptcy in mining and oil and gas sub-sector with Springate models, which enter into the healthy category, namely ELSA company in 2009 and Ruis company in 2009 and 2010. Additionally, all companies would be predicted to fall into the category of bankruptcy because bankruptcy. Keywords: Altman Z-Score, Bankruptcy, Financial statements, Springate
2017
Penelitian ini bertujuan menganalisis prediksi kebangkrutan pada industri sub-sektor perkebunan kelapa sawit (CPO) periode 2011-2015. Sejak tahun 2011 harga minyak kelapa sawit mengalami fluktuasi dan cenderung turun sampai tahun 2015, sehingga menimbulkan gejala-gejala kesulitan keuangan sampai terjadinya kesulitan keuangan pada perusahaan-perusahaan sub-sektor ini. Munculnya kesulitan keuangan ini mempengaruhi pengambilan keputusan oleh manajemen, oleh karena itu butuh analisis yang mendalam mengenai kejadian tersebut. Sampel yang digunakan ada sembilan perusahaan selama periode 2011-2015, kemudian dihitung menggunakan model prediksi kebangkrutan Altman, Grover, dan Fulmer. Setelah nilai kebangkrutan diperoleh, dilakukan uji tingkat signifikansi model menggunakan paired t-test, dan menghitung tingkat kesesuaian. Hasil menunjukkan bahwa terdapat perbedaan yang signifikan antara Altman dengan Grover, Altman dengan Fulmer, dan Grover dengan Fulmer pada periode 2011-2015. Kata Kunci :...
Jurnal Ilmiah Binaniaga, 2019
The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z…
Jurnal Akuntansi dan Keuangan
The purpose of this research is to determine the potential for bankruptcy in pharmaceutical companies listed on the Indonesia Stock Exchange. The data used are financial statements of pharmaceutical companies listed in Indonesia Stock Exchange 2012-2016 period. The analytical method used in this research is bankruptcy analysis with Altman Z-Score model. The results of this study explain that: (1) Based on the results of bankruptcy prediction analysis with Altman Z-Score model in pharmaceutical companies there are 2 (two) companies located in vulnerable areas / gray area bankrupt that is PT. Indofarma Tbk and PT. Pyridam Farma Tbk. (2) There are 5 (five) companies that do not go bankrupt namely PT.
2016
The purpose of this research is to predict the bankruptcy on food and beverage companies were listed on the Indonesia stock exchange period 2012-2014. Food and beverage companies was chosen because the industrial sector continues to undergo development in developed and developing countries one of them in Indonesia. Sampling techniques in the study using a Purposive Sampling and random sampling so that the sample used in this study there are 10 food and beverage companies. Technique of data analysis used the bankruptcy prediction model of Altman Z-score. By using five variables that represent the ratio of the liquidity of the x 1, x 2 and X 3 activity Profitability X 4 and x 5. With the Z-score formula = 1.2 X1 + 1,4 X2 + 3,3 X 3 + 0,6 X 4 + 1,0 X 5. With the assessment criteria of the Z-score > 2.99 categorized as a healthy company. 1,81 < Z-score < 2,99 categorized as companies that are in the grey area and so the possibility of survivors and likely bankrupt the same magni...
Jurnal Ilmu dan Riset Manajemen (JIRM), 2020
This research aimed to predict bankruptcy of cosmetics companies which were listed on Indonesia Stock Exchange with Altman Z-score and Springate analysis. Besides, it aimed to analyze the difference between prediction result of Altman Z-score and Springate. While, the data were secondary, in the form of companies' financial statement 2015-2018. The research was descriptive. Moreover, the data collection technique use purposive sampling. In line with, there were 5 companies as sample. Furthermore, the research result, from Altman Z-score, concluded there was only 1 company was categorized as healthy, i.e. PT Unilever Indonesia, Tbk. Meanwhile, four other companies which were categorized as bankrupt prone namely
2017
Tujuan dari penelitian ini adalah untuk mengetahui prediksi kebangkrutan dan untuk mengetahui model yang paling tepat digunakan sebagai prediksi kebangkrutan perusahaan pertambagan sub sektor batubara yang terdaftar di Bursa Efek Indonesia tahun 2012 hingga 2015 dengan mengunakan model Altman Z-Score, Spingate, Zmijewski, dan Grover. Penelitian ini menggunakan metode komparatif kuantitatif. Hasil dari penelitian ini menunjukkan bahwa PT Tambang Batu Bara Bukit Asam (Persero) Tbk (PTBA), PT Bara Jaya Internasional (ATPK) dan PT Golden Eagle Energy Tbk (SMMT) diprediksikan tidak berpotensi mengalami kebangkrutan. Sedangkan perusahaan yang diprediksi berpotensi mengalami kebangkrutan adalah PT Perdana Karya Perkasa Tbk (PKPK). Model Zmijewski merupakan model yang tepat digunakan dalam memprediksi potensi kebangkrutan perusahaan ini.
2016
The companies need predict bankruptcy to know about their companies life. Altman Z-Score is one of the methods to predict the bankruptcy. The research use secondary data obtained from financial statement four cigarette companies which are listed in Indonesia Stock Exchange in period 2012-2014. The result from use the Altman formulas to get the value of Z. Value Z will show the companies which healthy category (not bankruptcy), grey area or bankruptcy (financial distress). Result of this study shows that only one cigarette companies indicate bankruptcy or not health. One period indicate that the companies in grey area category and Two periods indicate the companies in bankruptcy category. Keywords: altman Z-Score, bankruptcy, financial distress, financial statement, predict