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All Journal Jurnal Akuntansi dan Pajak SULTANIST: Jurnal Manajemen dan Keuangan FINANCIAL : JURNAL AKUNTANSI JURNAL MANAJEMEN Jurnal Ilmiah Satyagraha Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) Buletin Abdi Masyarakat (BAM) JISOS: Jurnal ilmu sosial Room of Civil Society Development Menawan : Jurnal Riset dan Publikasi Ilmu Ekonomi Jurnal Ekonomi, Manajemen, Akuntansi Room of Civil Social Development
Manurung, Sepbeariska
Sekolah Tinggi Ilmu Ekonomi Sultan Agung
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Journal : Jurnal Ilmiah Satyagraha

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BANK DIGITAL DAN KEPERCAYAAN KONSUMEN Sudung Simatupang; Onita Sari Sinaga; Sepbeariska Manurung; Marthin Hutler Ambarita; Erna Ningsih Mokodongan
Jurnal Ilmiah Satyagraha Vol 7, No 2 (2024)
Publisher : Universitas Mahendradatta Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47532/jis.v7i2.1090

Abstract

Abstract –Transformation in the banking world has changed the form of bank work processes, from conventional bank models to digital banks. The purpose of this study is to see an overview of the presence of digital banks through relegation from Bank Indonesia and the Financial Services Authority in the process of trying to gain consumer trust, because consumers still do not fully understand about digital banks and the risks that will be faced when using digital banks because the physical form of the bank cannot be seen by consumers. Digital banks must be able to foster consumer trust through transaction security, accuracy and availability of services, responsiveness to consumer problems, innovation and openness, consumer awareness, and compliance with government regulations and being able to maintain customer privacy and ethics as consumers.
METODE TAFFLER DAN ALTMAN Z-SCORE DALAM MENGUKUR FINANCIAL DISTRESS PADA PT TIRTA MAHAKAM RESOURCES, Tbk. Manurung, Sepbeariska; Siregar, Liper; Arshandy, Eliza; Hutagalung, Daud Immanuel
Jurnal Ilmiah Satyagraha Vol 8, No 1 (2025)
Publisher : Universitas Mahendradatta Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47532/jis.v8i1.1239

Abstract

Abstract – This study aims to predict the level of bankruptcy of a company using the Taffler and Altman Z-Score methods at PT Tirta Mahakam Resources, Tbk. for the period 2015-2022 and to determine the comparison of the accuracy and error rate of each method used, namely the Taffler and Altman Z-Score methods. This study uses quantitative data by taking secondary data accessed from the official website of the Indonesia Stock Exchange (www.idx.co.id). The data analysis technique used is descriptive qualitative and comparative analysis. The results of this study indicate that there are different results in predicting the level of bankruptcy produced using the Taffler method in contrast to the Altman Z-Score method. This can be seen from the highest level of accuracy is using the Altman Z-Score method with a percentage of 0% while the error rate is using the Altman Z-Score with a percentage of 100%. Thus it can be concluded that the most suitable and accurate method in predicting Financial Distress is the Altman Z-Score method.
METODE TAFFLER DAN ALTMAN Z-SCORE DALAM MENGUKUR FINANCIAL DISTRESS PADA PT TIRTA MAHAKAM RESOURCES, Tbk. Sepbeariska Manurung; Liper Siregar; Eliza Arshandy; Daud Immanuel Hutagalung
Jurnal Ilmiah Satyagraha Vol. 8 No. 1 (2025): Jurnal Ilmiah Satyagraha
Publisher : Universitas Mahendradatta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to predict the level of bankruptcy of a company using the Tafflerand Altman Z-Score methods at PT Tirta Mahakam Resources, Tbk. for the period 2015-2022and to determine the comparison of the accuracy and error rate of each method used, namelythe Taffler and Altman Z-Score methods. This study uses quantitative data by taking secondarydata accessed from the official website of the Indonesia Stock Exchange (www.idx.co.id). Thedata analysis technique used is descriptive qualitative and comparative analysis. The results ofthis study indicate that there are different results in predicting the level of bankruptcy producedusing the Taffler method in contrast to the Altman Z-Score method. This can be seen from thehighest level of accuracy is using the Altman Z-Score method with a percentage of 0% whilethe error rate is using the Altman Z-Score with a percentage of 100%. Thus it can be concludedthat the most suitable and accurate method in predicting Financial Distress is the Altman ZScoremethod.
Co-Authors Antoni Antoni Arshandy, Eliza Butarbutar, Novita Christine D. Nainggolan Christine Dewi Nainggolan Christine Loist Darwin Lie Daud Immanuel Hutagalung Debi Eka Putri Efendi, Efendi Efriliana Naibaho Eliza Arshandy Erna Ningsih Mokodongan Ernest Grace Hamidah Anggi Pratiwi Lubis Hutagalung, Daud Immanuel Jubi, Jubi Julyanthry Julyanthry Liper Siregar Liper Siregar Marthin Hutler Ambarita Misdayana, Alvia Musa F. Silaen Musa Fernando Silaen Nainggolan, Christine Dewi Nelly Ervina Onita Sari Sinaga Rani Nilawaty Saragih Rosma Simangunsong Siahaan, Yansen Silaen, Musa F. Silalahi, Octavia Elisabeth Simatupang, Sudung Sinaga, Mahaitin Siregar, Liper Stanty Aufia Rachmat Supitriyani, Supitriyani Tarigan, Parman Tiya, Tri Ade Virya Shanti