ANALISIS PERBANDINGAN MODEL TAFFLER, SPRINGATE, DAN GROVER DALAM MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN

WISNU HARYO PRAKOSO, . (2022) ANALISIS PERBANDINGAN MODEL TAFFLER, SPRINGATE, DAN GROVER DALAM MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk menguji apakah terdapat perbedaan antara hasil prediksi kebangkrutan model Taffler, Springate, dan Grover dalam Memprediksi kebangkrutan perusahaan ritel yang terdaftar di Bursa Efek Indonesia periode 2017-2019. Teknik pengambilan sampel yang digunakan menggunakan purposive sampling. Penelitian ini menggunakan data sekunder yang bersumber dari laporan keuangan perusahaan ritel selama tahun 2017-2019. Pengujian hipotesis dalam penelitian ini menggunakan uji kruskal wallis. Hasil penelitian menunjukkan bahwa terdapat perbedaan yang signifikan antara hasil prediksi kebangkrutan pada perusahaan ritel yang terdaftar di Bursa Efek Indonesia periode 2017-2019 yang diukur dengan model Taffler, Springate, dan Grover. Hal ini disebabkan karena terdapat Perbedaan yang menunjukkan bahwa terdapat perbedaan rasio keuangan yang digunakan dan kriteria nilai kebangkrutan masing-masing model prediksi kebangkrutan. Kemudian Model Tafller merupakan model prediksi kebangkrutan yang paling akurat dengan tingkat akurasi 96% dan memiliki tingkat kesalahan terendah 4%. Kata kunci: Taffler, Springate, Grover, Prediksi Kebangkrutan ******** This study aims to examine whether there is a difference between the results of the prediction of bankruptcy of the Taffler, Springate, and Grover models in predicting the bankruptcy of retail companies listed on the Indonesia Stock Exchange for the 2017-2019 period. The sampling technique used was purposive sampling. This study uses secondary data sourced from the financial statements of retail companies during 2017-2019. Hypothesis testing in this study used the Kruskal Wallis test. The results show that there is a significant difference between the results of bankruptcy predictions for retail companies listed on the Indonesia Stock Exchange for the 2017-2019 period as measured by the Taffler, Springate, and Grover models. This is because there are differences which indicate that there are differences in the financial ratios used and the criteria for the bankruptcy value of each bankruptcy prediction model. Then the Tafller model is the most accurate bankruptcy prediction model with an accuracy rate of 96% and has the lowest error rate of 4%. Keywords: Taffler, Springate, Grover, Bankruptcy Prediction

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. I Gusti Ketut Agung Ulupui, S.E.,M.Si.,AK.,CA. ; 2). Petrolis Nusa Perdana, M.Acc,Ak.
Subjects:	Ilmu Sosial > Keuangan
Divisions:	FE > S1 Akuntansi
Depositing User:	Users 13117 not found.
Date Deposited:	03 Feb 2022 05:46
Last Modified:	03 Feb 2022 05:46
URI:	http://repository.unj.ac.id/id/eprint/22340

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