Hasil Pencarian

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Hasil Pencarian

Ditemukan 217184 dokumen yang sesuai dengan query
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Lubis, Mentari Maimunah
"Penelitian ini dilakukan untuk melihat seberapa cocok model-model prediksi kebangkrutan yang ada dan selama ini digunakan di negara-negara lain untuk digunakan pada masa krisis di Indonesia. Adapun data yang digunakan dalam penelitian adalah perusahaan-perusahaan di Indonesia yang terdaftar pada Bursa Efek Indonesia (BEI) yang terkelompokkan ke dalam beberapa sektor. Re-estimasi koefisien variabel-variabel model dilakukan kepada masing-masing sektor untuk kemudian dilakukan prediksi kebangkrutan dari model re-estimasi tersebut. Hasil prediksi kebangkrutan model re-estimasi kemudian dibandingkan dengan hasil prediksi kebangkrutan dari model aslinya untuk melihat apakah model dapat digunakan pada masa krisis di Indonesia. Hasil dari penelitian adalah model Springate original merupakan model yang paling cocok dengan kondisi di Indonesia pada masa krisis akibat COVID-19. Model Springate memiliki akurasi prediksi kebangkrutan paling tinggi, sementara model Altman Emerging Market menghasilkan Error Type I paling tinggi.

This research was conducted to see how suitable the existing bankruptcy prediction models that have been used in other countries to be used during the crisis in Indonesia. The data used in research are companies in Indonesia registered in the Indonesia Stock Exchange (IDX) which are grouped into several sectors. The re-estimate of the coefficient of variables models is carried out to each sector for then the bankruptcy prediction of the re-estimation model is carried out. The results of the bankruptcy prediction of the re-estimate model are then compared with the results of the bankruptcy prediction of the original model to see whether the model can be used during the crisis in Indonesia. The result of the study is the original Springne Model is the model that is most suitable for the conditions in Indonesia during the crisis due to Covid-19. The Springate model has the highest accuracy of bankruptcy predictions, while the Altman Emerging Market model produces the highest error type I."
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Jakarta: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2024
T-pdf
UI - Tesis Membership  Universitas Indonesia Library
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Muhammad Mahesa Panji Putra
"ABSTRAK
Karya akhir ini membahas mengenai 4 model prediksi kebangkrutan yang popular saat ini, dua model berdasarkan data akuntansi yaitu Altman Z scores (1968) dan Ohlson O scores (1980) dan dua model berdasarkan data pasar yaitu Merton model (1974) dan KMV model (1995). Penulis melakukan penelitian terhadap 4 model prediksi kebangkrutan pada 23 perusahaan bangkrut dan 40 perusahaan tidak bangkrut di Indonesia pada kurun waktu 2001-2011. Dari hasiltersebut kami menemukan bahwa KMV model mengungguli model-model yang lainnya dalam hal validasi model, dengan nilai akurasi tertinggi.

ABSTRACT
This paper asses about 4 popular bankruptcy model, two was accounting based models Altman Z scores (1968) and Ohlson O scores (1980) and two was market based models Merton model (1974) and KMV model (1995). We measure this 4 bankruptcy model bya applied this model into 23 bankruptcy company and 40 non bankruptcy company in Indonesia from 2001-2011. From the result we find that KMV model has relative more explanatory power than other model, with the best accuracy ratio than others models."
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Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2012
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Amanda Meisa Putri
"Financial distress dapat dianggap sebagai peringatan dini masalah yang dapat menyebabkan kebangkrutan. Memprediksi kebangkrutan menjadi salah satu hal yang dapat dilakukan perusahaan untuk menemukan keadaan kesehatan keuangan perusahaan. Sebanyak 585 firm-year pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia dijadikan sampel untuk penelitian ini di mana 113 di antaranya dikategorikan dalam kondisi financial distress. Model prediksi kebangkrutan dapat diperiksa untuk menilai situasi ekonomi perusahaan untuk tujuan lebih lanjut. Altman dan Ohlson adalah beberapa peneliti terkenal yang modelnya dirujuk untuk mengevaluasi kesehatan perusahaan.

Financial distress can be regarded as an early warning of trouble that can lead to bankruptcy. Predicting bankruptcy becomes one thing that companies can do to discover the state of the company's financial health. A total of 585 firm-years of manufacturing companies that listed in Indonesia Stock Exchange are sampled for this research where 113 of them are categorized in financial distress state. Bankruptcy prediction models may be examined to assess a company's economic situation for further purposes. Altman and Ohlson are some of notable researchers to which their models are referred to evaluating the health of companies."
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Jakarta: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2018
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Deny Martin
"ABSTRAK
The economy of Indonesia has rapidly grown since its first economic
turmoil in 1997/1998. The annual growth rate of the GDP exceeded 6% in the last
four years despite the global economies slow down due to the consequences of
‘bubble’ subprime mortgage that ruined most of the world’s financial institutions.
The growth significantly energizes the local economic activities either in the
industrial market or in the capital market.
In spite of the ‘bull’ market, the risk of financial distress remains alive and
the economic direction might change because of the volatility of business
environment. There is no firm protected or immune from financial adversity that
may result in failure, insolvency, default or bankruptcy. Plummeting stock price,
reduced dividend payment, consecutive net loss, massive lay-offs, pending
obligations and a fair number of other negative signs are common association with
financial distress.
Widely recognized, financial distress prediction models may be examined
to assess a firm’s economic situation for further purposes. Altman, Ohlson,
Zmijewsky, Fulmer, and Springate are some of notable researchers to which their
models are referred to evaluating the soundness of a firm. However, each market
has its own financial distress environment that in consequence any financial
distress prediction model requires an evaluation whether or not the model
adequately fits to a certain market, in particular Indonesia for this case. The
importance of predictors and accuracy will minimize producing misleading results
from the economic forecast.
The results of this testing against the first hypothesis showed that none of
the adjusted models included all the variables of the base model, respectively.
There were some variables with insufficient explanatory power to predict the
cessation of activities of the tested firms. The second hypothesis argued that the
adjusted models were less capable than those developed originally in terms of
accuracy.

ABSTRACT
The economy of Indonesia has rapidly grown since its first economic
turmoil in 1997/1998. The annual growth rate of the GDP exceeded 6% in the last
four years despite the global economies slow down due to the consequences of
‘bubble’ subprime mortgage that ruined most of the world’s financial institutions.
The growth significantly energizes the local economic activities either in the
industrial market or in the capital market.
In spite of the ‘bull’ market, the risk of financial distress remains alive and
the economic direction might change because of the volatility of business
environment. There is no firm protected or immune from financial adversity that
may result in failure, insolvency, default or bankruptcy. Plummeting stock price,
reduced dividend payment, consecutive net loss, massive lay-offs, pending
obligations and a fair number of other negative signs are common association with
financial distress.
Widely recognized, financial distress prediction models may be examined
to assess a firm’s economic situation for further purposes. Altman, Ohlson,
Zmijewsky, Fulmer, and Springate are some of notable researchers to which their
models are referred to evaluating the soundness of a firm. However, each market
has its own financial distress environment that in consequence any financial
distress prediction model requires an evaluation whether or not the model
adequately fits to a certain market, in particular Indonesia for this case. The
importance of predictors and accuracy will minimize producing misleading results
from the economic forecast.
The results of this testing against the first hypothesis showed that none of
the adjusted models included all the variables of the base model, respectively.
There were some variables with insufficient explanatory power to predict the
cessation of activities of the tested firms. The second hypothesis argued that the
adjusted models were less capable than those developed originally in terms of
accuracy."
Lengkap +
Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2012
T34699
UI - Tesis Membership  Universitas Indonesia Library
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Suci Putri Ayu
"ABSTRAK
Rasio keuangan sebagai hasil pengolahan data laporan keuangan dapat
digunakan sebagai alat untuk memprediksi terjadinya kepailitan perusahaan jika
dikombinasikan dengan metode prediksi yang tepat. Hasil prediksi ini bukan
hanya dapat digunakan bagi manajemen perusahaan, namun pihak-pihak lain pun
dapat menggunakannya sebagai sarana untuk membantu pengambilan keputusan,
misalnya keputusan investasi bagi investor, maupun keputusan berkenaan dengan
pembinaan perusahaan bagi regulator. Penelitian ini bertujuan untuk mendeteksi
rasio keuangan yang berfungsi sebagai prediktor kepailitan suatu perusahaan,
khususnya industri perusahaan pembiayaan. Selain itu, penelitian ini berusaha
menentukan model prediksi yang dapat digunakan regulator perusahaan
pembiayaan untuk meningkatkan fungsi pembinaan dan pengawasan terhadap
industri tersebut.

ABSTRACT
Financial ratios from financial statement combined with the appropriate prediction
method can be used as a tool to predict the occurence of bankruptcy. Bankruptcy
prediction is not only usefull for company’s management, but also for other
stakeholders, such as in decision making investment for investor, or guidance
industry’s regulator. The purpose of this research, is to determine ratios that can
predict the occurance of a company’s bankruptcy, particularly in the finance
companies industry. In addition, this study also aim to determine the prediction
model that is appropriate to be apllied by the regulator of finance companies
industry in Indonesia."
Lengkap +
Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2012
T34713
UI - Tesis Membership  Universitas Indonesia Library
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Universitas Indonesia, 2000
S24470
UI - Skripsi Membership  Universitas Indonesia Library
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Dian Fitriani
"Perseroan terbatas adalah salah satu subjek hukum berbentuk badan hukum yang di kenal dalam hukum perusahaan Indonesia. Sebagai subjek hukum, perseroan terbatas dapat digugat pailit. Dalam hal perseroan terbatas dipailitkan, muncul beberapa permasalahan, yaitu apa yang menjadi kriteria untuk menyatakan direksi telah lalai atau bersalah dalam mengurus perseroan terbatas siapa yang berwenang menyatakan direksi suatu perseroan terbatas telah lalai atau salah dalam mengurus perseroan terbatas sehingga perseroan terbatas tersebut dipailitkan, bagaimana bentuk tanggung jawab hukum direksi terhadap kepailitan suatu perseroan terbatas. Penulisan ini menggunakan metode kepustakaan dan studi kasus kepailitan PT. Interkayu Nusantara yang diputus pailit oleh Pengadilan Niaga dan Mahkamah Agung, dan menyimpulkan bahwa kriteria untuk menentukan kelalaian atau kesalahan direksi dalam mengurus perseroan terbatas adalah Undang-undang Nomor 1 Tahun 1995 Tentang Perseroan Terbatas dan anggaran dasar perseroan terbatas, lembaga yang berwenang untuk menentukan kelalaian atau kesalahan direksi dalam mengurus perseroan terbatas sehingga dipailitkan adalah Pengadilan Niaga, dan bentuk tanggung jawab hukum direksi perseroan terbatas yang jatuh pailit sama dengan bentuk tangggung jawab hukum direksi pada perseroan terbatas yang berjalan normal. Namun, apabila direksi melakukan kelalaian atau kesalahan dan kekayaan perseroan terbatas tidak cukup untuk menutup kerugian akibat kepailitan tersebut, direksi bertanggung jawab secara hukum baik secara perdata maupun pidana."
Lengkap +
Depok: Fakultas Hukum Universitas Indonesia, 2006
S21255
UI - Skripsi Membership  Universitas Indonesia Library
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Jakarta: Pradnya Paramita, 1966
346.07 KIT
Buku Teks  Universitas Indonesia Library
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Laksamana Bimo Budiman
"Penelitian ini bertujuan untuk menganalisis BUMN non jasa keuangan untuk dapat mengantisipasi kebangkrutan dan mendapatkan hasil antara Altman Z Score dan KEP-100/MBU/2002. Penelitian ini menggunakan rasio-rasio keuangan dari tahun 2016-2018. Penelitian ini bersifat kuantitatif dengan menggunakan sumber data sekunder dari laporan internal perusahaan dan website resmi lainnya. Hasil yang didapatkan dengan metode Altman Z Score di tahun 2016 terdapat 4 BUMN yang diprediksi bangkrut, di tahun 2017 terdapat 7 BUMN yang di prediksi bangkrut, dan di tahun 2018 terdapat 6 BUMN yang diprediksi bangkrut. Adapun dengan metode KEP-100/MBU/2002 tidak ada perusahaan yang berada di kategori tidak sehat. Penelitian ini diharapkan berguna bagi para pengambil keputusan di BUMN untuk menghadapi tantangan dan meningkatkan performa perusahaan.

Focus of this research is to analyze performance of nonfinancial sector state owned enterprises (SOE's) in Indonesia using Altman Z Score's bankruptcy prediction analysis and The Decree No. KEP-100/MBU/2002 issued by Ministry of Stated Owned Enterprises of Indonesia on June 2002 in order to find main factors that cause potential bankruptcy in the company and as a reference for company's performance improvement. This research is quantitative with the use of data from company's financial report from 2016-2018. The result based on Altman Z Score shows that in 2016 4 SOE's are predicted bankrupt, in 2017 7 SOE's are predicted bankrupt and in 2018 6 SOE's are predicted bankrupt. Whilst using KEP-100/MBU/2002 there is no SOE predicted bankrupt. This study could be used by SOE's decision makers to tackle the challenge and improve company's performance."
Lengkap +
Jakarta: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2020
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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