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All Journal Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat SEIKO : Journal of Management & Business JURNAL MANAJEMEN BISNIS ACCOUNTIA JOURNAL Accounting Trusted, Inspiring, Aunthentic Journal Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Technopreneurship on Economics and Business Review (JTEBR) Al-Buhuts (e-journal) Accountia Journal (Accounting, Trusted, Inspiring and Authentic Journal)
Nurhayati Olii
Universitas Ichsan Gorontalo
Aerospace Engineering Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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Journal : Al-Buhuts (e-journal)

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Prediksi Financial Distress Dengan Menggunakan Bankruptcy Prediction Model Eka Zahra Solikahan; Nurhayati Olii
Al-Buhuts Vol. 18 No. 2 (2022): Al-Buhuts
Publisher : Institute Agama Islam Negeri (IAIN) Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/ab.v18i2.2640

Abstract

This study aims to determine financial distress by using the Bankruptcy Prediction Model Altman Z-Score and to validate the Altman Z-Score variable in the telecommunications sub-sector listed on the Indonesia Stock Exchange. A quantitative approach with bankruptcy prediction model Altman Z-score and correlation analysis using Eviews is used in this study. The results show that during the 2015-2019 observation period, the telecommunications sub-sector companies as a whole experienced financial distress, but in 2017 the category was healthy. In addition, the results of the research based on the telecommunication sub-sector companies obtained were Telekomunikasi Indonesia Tbk (TLKM) in healthy condition, Bakrie Telecom Tbk (BTEL) and Smartfren Telecom Tbk (FREN) in financial distress, XL Axiata Tbk (EXCL) and Indosat Tbk (ISAT), gray area condition. The results of the correlation ratio of the Altman Z-Score variable obtained the strongest correlation, namely the ratio variable X2, X3 and X5, the ratio variable X1, the category is quite strong and the one that gives the smallest contribution is X4 with the low category. The results of this study are expected to contribute to knowledge about the potential for financial distress with the bankruptcy prediction model in order to minimize the risk of bankruptcy,
Co-Authors Abdurahman Abdurahman APRIKA, IIN Ariawan Ariawan Arman Arman Eka Zahra Solikahan Indriana Indriana Kartika Chandra Pelangi Moh. Adit Kuyo Muhammad Sabir Mustafa Nur Rahmi Parmin Ishak Ramdhan Adrianata Yusuf REIN ADRIAN KADIR Rivana Rahmatia Iskandar Tri Handayani