ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN Z – SCORE PADA INDUSTRI PERTAMBANGAN MINYAK DAN GAS BUMI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2020

Krisna Puji Astuti, Krisna Puji Astuti (2022) ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN Z – SCORE PADA INDUSTRI PERTAMBANGAN MINYAK DAN GAS BUMI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2020. skripsi thesis, Universitas Batanghari.

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Abstract

ABSTRACT KRISNA PUJI ASTUTI / 1700861201125 / MANAGEMENT / ANALISYS PREDICTION FINANCIAL DISTRESS USING ALTMAN Z – SCORE OF MINING INDUSTRY IN BEI PERIODS 2015-2020 / 1 “Advisor Hj. Atikah ,SE,M.M. / 2 “Advisor Amilia paramita Sari,SE,M.Si. The Background of this research is to know and to analize prediction of company bankruptcy of mining Industry in BEI periods 2015-2020 which focuses object are three companies which have all creteria in analysis by method Z – Score Altman. As we know, the goal of company is not being bankrupt so that the company needed a method to predict the bankruptcy as soon as possible. One of the method is Z- Score Altman, this method used to analize financial distress statements. The Method Z- Score Altman is one of the multivariate analysis models that is useful for predicting corporate financial distress with a reliabel level of accuracy. This study aims to determine the analysis of financial ditress and also the company’s financial performance based on discriminant analysis using the Altman model. The research data collected is secondary data in the period 2015-2020. While the data source of this study was collected from the company’s financial reporting in the Indonesian Capital Market Directory (ICDM). Data analysis –the technique we use is the Altman discriminant analyis model know as the Z- Score predivton model. The company used as the object is company bankruptcy of mining Industry analysis using financial statements taken from 2015-2020. After that the working capital to total assets (X1), retained earnings to total assets (X2), marearningas before interest and taxes to total assets (X3), market value equity to the book value of total debt (X4), and sale to total assets (X5) then calculated the value of each variabel into Altman’s Formula to produce a score ( Z- Score ).Determine the Z-Score inthis category:Z-Score < 1,81 are on potential bankruptcy category, 1,81 < Z- Score <2,99 are on grey area category Z –Score >2,99 are on non bankruptcy company. The results of this study show fact that all companies in the Mining Industry iol and Gas Earth are bankrupt and gray area with Z- level scores – Different scores.

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