DETAIL KOLEKSI

Memprediksi kebangkrutan menggunakan metode altman z-score di perusahaan manufaktur sub sektor makanan dan minuman yang tercatat di pasar modal indonesia 2013-2015

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Oleh : Baladika Eka Putra

Info Katalog

Nomor Panggil : 2017_TA_AK_023133003

Penerbit : FEB - Usakti

Kota Terbit : Jakarta

Tahun Terbit : 2017

Pembimbing 1 : Virna Sulfitri

Subyek : Financial accounting;Longterm debt and solvency analysis

Kata Kunci : altman-z score, financial ratio. bankruptcy, predicting

Status Posting : Published

Status : Lengkap


File Repositori
No. Nama File Hal. Link
1. 2016_TA_AK_023133003_Halaman-judul.pdf
2. 2016_TA_AK_023133003_Bab1.pdf
3. 2016_TA_AK_023133003_Bab-2.pdf
4. 2016_TA_AK_023133003_Bab-3.pdf
5. 2016_TA_AK_023133003_Bab-4.pdf
6. 2016_TA_AK_023133003_Bab-5.pdf
7. 2016_TA_AK_023133003_Daftar-pustaka.pdf
8. 2016_TA_AK_023133003_Lampiran.pdf

M Memprediksi kebangkrutan menggunakan metode Altman Z-Score cukupakurat. Metode Altman Z-Score dapat memberikan informasi perusahaan yangmenandakan potensi kebangkrutan. Metode Altman Z-Score dapat membuatperusahaan-perusahaan waspada akan kebangkrutan dan dapat memprediksikan nya.Jadi perusahaan-perusahaan dapat meningkatkan laporan keuangan mereka, dandapat menghindari kebangkrutan. Namun metode Altman Z-Score hanya akuratuntun perusahaan manufaktur.Data diperoleh mengguakan data sekunder. Jumlah data yang di peroleh 42data, yang terdiri dari 14 perusahaan di periode tahun 2013-2015. Regresi bergandadigunakan untuk menguji data.Hasil hipotesa adalah, adanya hubungan signifikan antara working capital tototal asset terhadap kebangkurtan, tidak adanya hubungan signifikan antara retainedearning to total asset terhadap kebangkrutan, tidak adanya hubungan signifikanantara EBIT to total asset terhadap kebangkrutan, tidak adanya hubungan signifikanantara market value equity to total liabilities terhadap kebangkrutan, dan adanyahubungan signifikan antara sales to total asset terhadap kebangkrutan.

P Predicting bankruptcy using Altman Z-Score method is quite accurate.Altman Z-Score method can provide information which company have pontetiallybankrupt area. Altman Z-Score method makes company aware of bankruptcy andcould predict on it, so the company could improve their financial report and couldavoid the bankruptcy. However, Altman Z-Score method accurate only onmanufacture companies.Data collected by using secondary data. Total data have been obtained are42, and its conduct 14 companies in period 2013-2015. Multiple regression wasemployed to test the data.The result of hypothesis are, there is significance influences between workingcapital to total asset againt bankruptcy, there is no significance influences betweenretained earning to total asset against bankruptcy, there is no significance influencesbetween EBIT to total asset against bankruptcy, there is no significance influencesbetween market value equity to total liabilities against bankruptcy, and there issignificance influences between sales to total asset agains bankruptcy.

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