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All Journal Jurnal Manajemen Terapan dan Keuangan Majority Science Journal
Sonia, Reiny Erica
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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ANALISIS PREDIKSI KEBANGKRUTAN DENGAN MODEL ALTMAN Z-SCORE, MODEL SPRINGATE, MODEL ZMIJEWSKI DAN MODEL GOVER SEBELUM DAN SETELAH PANDEMI COVID-19 “ STUDI PADA PERUSAHAAN SEKTOR KESEHATAN YANG TERDAFTAR DI BEI PERIODE 2018-2021” Sonia, Reiny Erica; Yuliusman, Yuliusman; Wijaya Z, Rico
Jurnal Manajemen Terapan dan Keuangan Vol. 13 No. 01 (2024): Jurnal Manajemen Terapan dan Keuangan
Publisher : Program Studi Manajemen Pemerintahan dan Keuangan Daerah Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jmk.v13i01.31847

Abstract

Studi ini bertujuan untuk mengestimasi, mengkaji, dan memahami kemungkinan kebangkrutan perusahaan dengan memanfaatkan model Altman Z-Score, Springate, Zmijewski, dan Gover sebelum serta sesudah terjadinya pandemi COVID-19 di industri kesehatan yang tercatat di Bursa Efek Indonesia (BEI) dari tahun 2018 hingga 2021. Untuk menganalisa data, peneliti mengaplikasikan model Altman Z-Score, Springate, Zmijewski, dan Gover sebagai instrumen prediktif terhadap risiko finansial perusahaan. Metode analisis diskriminan ini diimplementasikan guna meramalkan risiko keuangan perusahaan dengan memeriksa laporan keuangannya selama empat tahun. Metodologi yang diterapkan dalam penelitian ini adalah metode deskriptif. Data yang digunakan bersifat kuantitatif dan bersumber dari data sekunder. Kata kunci: Altman Z-Score, Springgate, Zmijewski, Gover, Kebangkrutan
Web-Based Covid-19 Monitoring Information System Sonia, Reiny Erica; Hizazi , Achmad; Kusumastuti, Ratih
MSJ : Majority Science Journal Vol. 3 No. 4 (2025): MSJ-November
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v3i4.500

Abstract

The coronavirus is a positive-sense, enveloped, unsegmented single-stranded RNA virus. The coronavirus is classified under the order Nidovirales and the family Coronaviridae. The structure of the coronavirus has a cubic configuration, with the S protein situated on its surface. Protein S, or spike protein, is a principal antigenic protein of viruses and serves as the primary framework for gene encoding. The S protein facilitates the attachment and entrance of viruses into host cells by its interaction with certain receptors on the host cell surface. Coronaviruses are susceptible to heat and may be efficiently inactivated by disinfectants that include chlorine, lipid solvents at 56 ℃ for 30 minutes, ether, alcohol, peracetic acid, non-ionic detergents, formalin, oxidizing agents, and chloroform. Chlorhexidine is ineffective in neutralizing viruses. COVID-19, often referred to as the coronavirus, started to appear toward the close of 2019, and the daily incidence of infections continues to rise, with fatalities surpassing recoveries. Individuals aged 50 and above are more susceptible to developing Covid-19. The current issue is that the community struggles to monitor information on the growth of the coronavirus. This project aims to construct a web-based COVID-19 monitoring information system to facilitate public tracking of COVID-19 developments in Indonesia and worldwide. The system design methodology employs the PIECES framework (Performance, Information, Economy, Control, Efficiency, and Service) with UML (Unified Modeling Language) tools.
Co-Authors Hizazi , Achmad Ratih Kusumastuti Rico Wijaya Z Yuliusman Yuliusman