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All Journal Ikonomika : Jurnal Ekonomi dan Bisnis Islam Jurnal Dedikasi Masyarakat Economica: Jurnal Ekonomi Islam Jurnal Inovasi Bisnis (Inovbiz) JMM (Jurnal Masyarakat Mandiri) Kamaya: Jurnal Ilmu Agama AkMen JURNAL ILMIAH Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Khatulistiwa: Journal of Islamic Studies YUME : Journal of Management IJISH (International Journal of Islamic Studies and Humanities) Jurnal Ilmiah Akuntansi Manajemen Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Musamus Accounting Journal Value: Jurnal Manajemen dan Akuntansi International Journal of Religious and Cultural Studies Jurnal Al-Dustur Jurnal Bisnis Dan Kajian Strategi Manajemen Amnesty: Jurnal Riset Perpajakan Airlangga International Journal of Islamic Economics and Finance Perspektif Akuntansi INVOICE : JURNAL ILMU AKUNTANSI Journal Of Business, Finance, and Economics (JBFE) Asian Journal of Community Services (AJCS) Journal of International Conference Proceedings International Journal of Community Service (IJCS) Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Enrichment: Journal of Multidisciplinary Research and Development JAKBS JEBD International Journal of Economic Research and Financial Accounting IJMA Jurnal Ekonomi Pertanian dan Agribisnis International Journal of Community Service Implementation Insan Cita Bongaya Research Journal Fundamentum: Jurnal Pengabdian Multidisiplin IECON: International Economics and Business Conference
Wa Ode Rayyani
Universitas Muhammadiyah Makassar, Indonesia
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Journal : INVOICE : JURNAL ILMU AKUNTANSI

 1 
Financial Distress Prediction with Grover Model: Case Study of PT Surya Pangan Indonesia Mira, Mira; Rayyani, Wa Ode; Wahyudi, Fiqi
INVOICE : JURNAL ILMU AKUNTANSI Vol 6, No 2 (2024): September 2024
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/inv.v6i2.15681

Abstract

This research aims to predict financial distress at PT Surya Pangan Indonesia using the Grover model and analyze the results using the Springate model. The study employs quantitative data sourced from the financial reports of PT Surya Pangan Indonesia for the years 2018, 2019, and 2020. The data analysis technique involves calculating financial ratios and applying the Grover and Springate models to determine the company's financial health. According to the Springate model, a score above 1.062 indicates a healthy financial condition, while a score below 0.862 suggests a serious threat of bankruptcy. The results reveal that in 2018 and 2019, PT Surya Pangan Indonesia was in a healthy financial state with Springate scores of 3.748 and 1.174, respectively. However, in 2020, the score dropped to 0.564, indicating severe financial distress. The decline is attributed to decreased profitability and sales amid the pandemic and fluctuating corn prices. This study underscores the importance of early financial distress detection using predictive models, enabling companies to implement corrective measures before reaching a crisis. The findings suggest that PT Surya Pangan Indonesia must enhance its financial management strategies to prevent future distress. Additionally, future researchers are encouraged to compare different financial distress prediction models, such as the Ohlson and Altman models, to develop a more comprehensive understanding of financial health in the Indonesian business context.
Financial Distress Prediction with Grover Model: Case Study of PT Surya Pangan Indonesia Mira, Mira; Rayyani, Wa Ode; Wahyudi, Fiqi
Invoice : Jurnal Ilmu Akuntansi Vol. 6 No. 2 (2024): September 2024
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/inv.v6i2.15681

Abstract

This research aims to predict financial distress at PT Surya Pangan Indonesia using the Grover model and analyze the results using the Springate model. The study employs quantitative data sourced from the financial reports of PT Surya Pangan Indonesia for the years 2018, 2019, and 2020. The data analysis technique involves calculating financial ratios and applying the Grover and Springate models to determine the company's financial health. According to the Springate model, a score above 1.062 indicates a healthy financial condition, while a score below 0.862 suggests a serious threat of bankruptcy. The results reveal that in 2018 and 2019, PT Surya Pangan Indonesia was in a healthy financial state with Springate scores of 3.748 and 1.174, respectively. However, in 2020, the score dropped to 0.564, indicating severe financial distress. The decline is attributed to decreased profitability and sales amid the pandemic and fluctuating corn prices. This study underscores the importance of early financial distress detection using predictive models, enabling companies to implement corrective measures before reaching a crisis. The findings suggest that PT Surya Pangan Indonesia must enhance its financial management strategies to prevent future distress. Additionally, future researchers are encouraged to compare different financial distress prediction models, such as the Ohlson and Altman models, to develop a more comprehensive understanding of financial health in the Indonesian business context.
Co-Authors Abbas, Ahmad Abdul Thalib Ade Trianna Agus Prasetyo Ahmad Abbas Ahmad Abbas Alamsjah Alamsjah, Alamsjah Amelia Rezki Septiani Amin Amin, Amelia Rezki Septian Ananda Fajarwati Andayaningsih, Sri Andi Rasdiyanti Arif, Muhammad Faisal Arizah, Ainun Awanda Lestari Buia Ayaz, Mohammad Basri Basir Cisilia Doodoh Darwis Said Dian Anggraini Dian Anggraini Dyastiarini, Astri Edi Prayogo Endang Winarsi Evi Nurul Husna Evi Nurul Husna Farman, Safril Febrianggi, Ayu Firman syah Haerani Haeranti Syam Hanafi, Kartini Hannani Herdiana Herdiana Herman Callo Hernita Arifuddin I Wayan Sujana Idrawahyuni Idrawahyuni Idrawahyuni Idrawahyuni Idrawahyuni, Idrawahyuni Inar Andriani Jaya, Asri Jumiati Jumiati Khaerullah Khairunna Istiqamah Halim Laras Lestari Lestari, Nurma Linda Arisanty Razak Linda Arisanty Razak Linda Razak Maha Radwan Marshanda Sultan Mas’ud, Anis Anshari Mediaty Mira Mira Moh. Aris Pasigai Mohamad Ilham Mohammad Ayaz Muchran, Muchriady Muh. Alamsyah Perdana Putra Muh. Syarif Ahmad Muhaimin Muhaimin Muhammad Adil, Muhammad Muhammad Arjun Muhammad Ihsanul Muhammad Nur Abdi Muhammad Nur Abdi Mutia Sirwaty Mutiara Mutiara Nabila Hidayani Nadhirah Nagu Nadiya Nur Fadilla Neks Triani Nia Wahyuni Nia Wahyuni Nur Lisal Nur Rezki Amalia Nur Sriani Nur'Izzah Amaliah Yusuf Nurafni Ansar Nuraini Nuraini Nuranisa Al Azighah Nurhalija, Nurhalija Nurhikmah SR Nurinaya, Nurinaya Nurlina Nurlina Nurul Iqza Nurul Nadya Nurwazaila, Nurwazaila Pratiwi, Hesti Radwan, Maha Ramadana Ratna Ayu Damayanti Ratna Marta Dhewi Razak, Linda Arisanty Rini Purnamasari Risma Risma Rustam, Andi Sahrulllah, Sahrulllah Salwa Khaerunniza Satriawana Sentot Imam Wahjono Sentot Imam Wahjono Silviana Salam Siskayanti Siti Irmayanti Sri Andriani Sri Andyaningsih Sri Utami Sri Wahyuni Pratiwi Yusran Sri Wahyuni Pratiwi Yusran Sunarti Sunarti Swasti, Tri Ika Syahadat, Edy Fitriawan Syamsul, Nur Zhafika Syarifuddin, Safria Triani, Neks W Warda Wafir, Ilham Akbar Wahyudi, Fiqi Wahyuni, Idra Yusuf , Yusfi Tsabita Nanda Zalkha Soraya