FINANCIAL DISTRESS: MODEL GROVER MANUFACTURING COMPANY IN INDONESIA

Authors

  • Ranti Utami STIE Pembangunan Tanjungpinang
  • Hendy Satria STIE Pembangunan Tanjungpinang
  • Muhammad Isa Alamsyahbana STIE Pembangunan Tanjungpinang
  • Novi Chandra Saputra STIE Pembangunan Tanjungpinang

Abstract

This study aims to determine whether the Manufacturing Companies in the Basic and Chemical Industry Sector that experienced negative profits or losses for two consecutive years in the 2018-2020 period were in good health or even experienced financial distress when viewed from financial statement data using the Grover model analysis (G-Score). This study uses a quantitative descriptive method. The data used are the financial statements of each manufacturing company in the basic and chemical industry sectors that experienced negative profits or losses for two consecutive years in the 2018-2020 period in the form of balance sheets and profit/loss reports which will then be analyzed using the Grover model (G-Scores). The results showed that of the 8 basic and chemical industrial manufacturing companies that experienced negative profits or losses for two consecutive years, when viewed from the average score, there were 5 companies that were in the category of experiencing financial distress. While the other 3 companies are still in the healthy category, but 2 of them are still in an unstable condition and 1 of them shows an increase every year when viewed from the annual score.

 

Keywords:Financial Distress, G-Score, Manufacturing Company

References

Ahmar, L. (2016). Differences in Fulmer, Grover, and Springate methods in predicting bankruptcy in mining companies for the period 2011-2014.

Amalia, F. (2019). Comparative analysis of financial distress in construction companies on the Indonesian stock exchange in 2014-2018. Journal of Economics and Social Affairs, 10(1), 11.

Bahri, S. (2015). PREDICTION ANALYSIS OF BANKRUPTCY IN DELISTING COMPANIES ON THE INDONESIA STOCK EXCHANGE. Journal of Management Science & Research, 4(8), 1–22.

Ben, DA (2015). (Study on property and real estate companies listed on the Indonesia Stock Exchange in 2011-2013). 21(1), 1–9.

Carolina, V., & Primary, D. (2017). Financial Ratio Analysis to Predict Financial Distress Conditions (Empirical Study on Manufacturing Companies Listed on the Indonesia Stock Exchange 2014-2015 Period). 9(November), 137–145.

Cashmere. (2011). Financial Statement Analysis. Jakarta: Raja Grafindo Persada. cashmere. (2012). Financial Statement Analysis. Jakarta: PT Raja Grafindo Persada. Liando, HS, Saerang, DPE, & Elim, I. (2014). Financial Performance Analysis

D. Qisthi, Suhadak, & Handayani. (2013). X-Score Analysis (Zmijewski Model) To Predict the Symptoms of Company Bankruptcy.

Farid, & Siswanto. (2013). Financial Statement Analysis. Bandung: PT Bumi Aksara.

Firdausia. (2017). Z-Score Analysis To Predict Financial Distress.

Hanafi, M., & Halim, A. (2016). Financial Statement Analysis. Yogyakarta: STIM YKPN Law.

Harahap, SS (2015). Critical Analysis of Financial Statements (12th ed.). Jakarta: PT Raja Grafindo Persada.

Hastuti, RT (2015). Comparative analysis of financial distress prediction models Altman, Springate, Grover and Ohlson in manufacturing companies listed on the Indonesian Stock Exchange for the period 2011-2013. XX(03), 446–462.

Harry. (2012). Financial Statement Analysis. Jakarta: Earth Literacy Publisher. Harry. (2014). Financial Statement Analysis. Jakarta: Earth Literacy Publisher.

Harry. (2015). Financial Statement Analysis Financial Ratio Approach. Jakarta: CAPS.

Harry. (2016). Financial Statement Analysis. Jakarta: Grasindo.

IAI. (2018). Statement of Financial Accounting Standards (PSAK) No. 1: Financial Statements. Jakarta: Indonesian Accounting Association.

Indonesia, IA (2015). Financial Accounting Standards. Jakarta: IAI.

The Sangihe Islands Regency Government Uses the Value For Money Method. EMBA Journal, 2(3), 1686–1694. https://doi.org/10.5093/tr2013a7

Mamduh, MH, & Halim, A. (2012). Financial Statement Analysis. Yogyakarta: AMP-YKPN.

Manousaridis, C. (2017). Z-Altman's Model Effectiveness In Bank Failure Prediction - The Case of European Banks. (July), 1–46. Retrieved from http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8925396 &fileOId=8925400

Margali, GE, Rate, P. Van, & Maramis, JB (2017). Analysis of Financial Distress Prediction Model Accuracy Altman, Springate, Ohlson and Grover (Case Study on Bankrupt Companies PT. Dayaindo Resources International Tbk and PT. Surabaya Agung Paper and Pulp Industries Tbk). EMBA Journal, 5(2), 1493–1502.

Moleong, LJ (2017). Qualitative and Quantitative Research Methodology. Bandung: PT Pemuda Rosdakarya.

Muflihah, IZ (2017). Financial Distress Analysis of Manufacturing Companies in Indonesia with Logistics Regression. Economics Magazine, XXII(2), 254–269.

Munawir. (2014). Financial Statement Analysis. Yogyakarta: Liberty.

Nirmalasari, L., Studi, P., Faculty, M., University, E., Yogyakarta, N., Bankruptcy, MP, …Error, TI (2016). Financial Distress Analysis of Property , Real Estate and. 46–61.

Nurcahyanti, W. (2015). Comparative Study of Altman, Springate and Zmijewski's Z-Score Model in Indicating Bankruptcy of Companies Listed on the Indonesia Stock Exchange.

Oktaviandri, A., Firli, A., & Iradianty, A. (2017). Bankruptcy Prediction Analysis Using Altman, Springate, Ohlson, and Grover Models in Companies in the Agricultural Sector Indonesia Stock Exchange Period 2011 – 2015. UNIKOM Scientific Magazine, 15(1), 71–78. https://doi.org/10.34010/miu.v15i1.278

Priambodo, D. (2015). GROVER, AND ZMIJEWSKI IN PREDICTING THE MINING FINANCIALS LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE PERIOD OF 2012-2015). 1–10.

Purnajaya, KDM, & Merkusiwati, NKLA (2014). Comparative Analysis of Bankruptcy Potential with Altman, Springate, and Zmijewski Z-Score Methods in the Cosmetic Industry Listed on the Indonesia Stock Exchange. E Journal of Accounting, 7(1), 48–63.

Rahayu, F., Suwendra, IW, & Yulianthini, NN (2016). FINANCIAL DISTRESS ANALYSIS USING the e-Journal Bisma Universitas Pendidikan Ganesha. 4.

Rudianto. (2013). Management Accounting. Jakarta: PT Gelora Aksara Pratama.

Samryn. (2012). Management Accounting, Cost Information To Control Operational Activities and Information (First). Jakarta: Kencana Media Group.

Subramanyam, KR, & Wild, JJ (2014). Financial Statement Analysis. Jakarta: Salemba Empat.

Sudrajat, MA, & Wijayanti, E. (2019). FINANCIAL DISTRESS PREDICTION ANALYSIS WITH COMPARATIVE ALTMAN, ZMIJEWSKI AND GROVER MODELS. 3(2).

Sugiyono. (2013a). Quantitative and Qualitative Research Methods. Bandung: Alvabeta.

Sugiyono. (2013b). Quantitative, Qualitative, and R&D Research Methodology (9th ed.). Bandung: Media Discourse Partners. Alphabet.

Sugiyono. (2018). Quantitative, Qualitative, and R&D Research Methodology. Bandung: Alvabeta. Syahrir, EH (2017). MIND MAP ANALYSIS OF STUDENTS OF CLASS VII C SMPN 6 KOPANG. 3(1), 1–14.

Toto, P. (2013). Financial Statement Analysis. Jakarta: PPM.

Wayan, N., Arwinda, K., Kt, N., & Merkusiwati, LA (2014). THE INFLUENCE OF CORPORATE GOVERNANCE MECHANISM, LIQUIDITY, LEVERAGE, AND COMPANY SIZE IN FINANCIAL DISTRESS, Faculty of Economics and Business, Udayana University (Unud), Bali, Indonesia is a decline in the company's financial condition before reaching keb. 1, 93–106.

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Published

2022-04-15