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All Journal Jurnal Ekonomi Pembangunan Jurnal Mirai Management Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Widya Cipta : Jurnal Sekretari dan Manajemen Jurnal Khatulistiwa Informatika Moneter : Jurnal Akuntansi dan Keuangan Kinerja: Jurnal Ekonomi dan Manajemen JURNAL PENDIDIKAN TAMBUSAI JURNAL ILMIAH M-PROGRESS JURNAL BISNIS & AKUNTANSI UNSURYA JIMF (JURNAL ILMIAH MANAJEMEN FORKAMMA) JURNAL EKSBIS Dialektika: Jurnal Ekonomi dan Ilmu Sosial MEDIA MANAJEMEN JASA Jurnal Penelitian Ekonomi Akuntansi (JENSI) Enrichment : Journal of Management IDEI: Jurnal Ekonomi & Bisnis EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) JRAK (Jurnal Riset Akuntansi dan Bisnis) (e-Journal) Economics and Digital Business Review Solusi: Jurnal Kajian Ekonomi dan Bisnis Jurnal Ilmiah Wahana Pendidikan Gemilang: Jurnal Manajemen dan Akuntansi Jurnal Bisnis Kompetitif Mizania : Jurnal Ekonomi dan Akuntansi Socius: Social Sciences Research Journal Journal of Management and Informatics Jurnal Pengabdian Masyarakat dan Riset Pendidikan JER Jurnal Ekonomi, Manajemen, Akuntansi
Fazhar Sumantri
Universitas Bina Sarana Informatika
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Predicting Financial Distress and Bankruptcy of PT Sepatu Bata Tbk with Six Methods Sucipto, Rakhmat Hadi; Sumantri, Fazhar; Taruna, Helmy Ivan
Jurnal Economic Resource Vol. 7 No. 2 (2024): September - February
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v7i2.977

Abstract

This study aims to estimate the financial difficulties that may be experienced by PT Sepatu Bata Tbk, compare six bankruptcy prediction methods, namely Altman, Springate, Zmijewski, Grover, Ohlson, and Taffler, and find the accuracy level of the predictive model. The research uses a quantitative approach by utilizing an independent sample t-test to detect comparisons between bankruptcy prediction methods from the company's secondary data. The results of the study show that the Altman method successfully detected the existence of financial distress of the company, namely in 2020, 2022, and 2023, while the rest of the time the company was still safe and entered the gray area, the Springate method predicts that for 12 years from 2012 to 2023 the company was trapped in the threat of bankruptcy due to financial distress, the Grover method found the fact that throughout the year from 2012 to 2023 the company experienced financial difficulties, Zmijewski's method proves that companies are experiencing financial distress only in 2023, Ohlson's method detects that companies are still in good health for 12 years from 2012 to 2023, and the Taffler model predicts that companies have experienced various conditions over the past 12 years and are only threatened with bankruptcy in 2020 and 2021. The Taffler method showed the highest accuracy rate of 83%, followed by the Altman and Zmijewski methods at 75%, Ohlson at 65%, and Springate and Grover both recorded an accuracy rate of 33%.
Co-Authors Achmad Ridwan Achmad wildan Aditya Prasetyo Aditya, Maulana Alfia Dwi Damayanti Almeira, Gianina Alvandy Agung P.M Amzar, Fadillah Andi Asrul Anggraeni, Laela Anisa Fitri Annisa Aprisila Handini Annisa Rahayu Anugrah, Wahyu Putra Arini Arini Auliah, Firdah Aurelia Hamzah, Chika Bryan Givan Cahya Eni Chaerina Chaerina Chandradoni, Dhimas Dahlia Apriliawati Damanhuri, Muhammad Ikhsan Daniel , Daniel Daniel Daniel Danni Maulana Danny, Galang Rachmat Dawai, Eriana Dea Ratna Puspita Dewi, Shinta Shintia Dhelvia Devitha Shalihah Dian Indah Sari Duta Andriansyah Dwi Apriliani Edgar Prasetyo Elisabeth Karamoy Fadilah, Ahmad Ridho Febiyana, Fina Feby Angriawan Latumanase Fina Febiyana Florentina Seno, Maria Hafizhah, Elma Nurul Halizah, Zahwa Nur Handoko, Melyani Hardiyanto Hardiyanto Hasna Nur Salsabila Helmy Ivan Taruna Hendra Kurniawan Hendra Lesmana humaira Hutabarat, William Loro Sae Ikbal, Maulana Indra, Natal Indriani, Sarah Aqiilah Intan Septiani Irwansyah, Dea Putri Ivontiana Nganus Jelita, Anggun Jumiati Jumiati Kamiela, Intan Khoerun Nadia Zulpa Kurniawati, Cahya Lestari, Alim Lia Ameliawati Mahadi Alkautsar Manalu, Theresia Yosevani Marwah Nurinayah Maslufi, Lulu Zusratul Maulidia Hilmiar Maya Anggraeni Melyani Melyani Melyani Melyani, Melyani Muhammad - Muhammad Fauzan Adityan Muhammad Heriansyah Muhammad Jovan Edliansyah Muhammad Rizqi Mu’mina Mu’mina Nabila, Anastacia Naila Salsabilla Najwa Jawas Nurinayah, Marwah nurul latifah Pratiwi, Theysa Sahlani Putri Sesa Lestari An Rahmania Apriliani Rauddina Alyani Refo Putra Pangestu Rendi Muhamad Dahlan Reska Neta Febriyana Robby Rabanni Rafsanjani Rohim Setiawan Salsabila, Hasna Nur Saukani, Hilman Septi Sartika Sari Serlinda Gusmella Sindi Setyowati Siti Ainur Rahmah Siti Livka Hadinia Soliha Solehudin, Didin Sucipto, Rakhmat Hadi Sudrajat, A. Susanti Susanti Syabrinildi, Syabrinildi Syafirah Alawiyah Tanial, Bani Hensami Tasya Kurnia Theysa Sahlani Pratiwi Tri Utami TRI WIDIASTUTI Trisna Fajar Prasetyo Umi Latifah Umi Latifah Umi Latifah Utami, Elva Damita Wahyu Nugroho Yemima Christy, Ulina Zahra Zahrani, Permata Aulia Zulpa, Khoerun Nadia