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Analisis Prediksi Kebangkrutan Pada Perusahaan Tekstil Dan Garmen Periode 2022-2024 Pertiwi, Intan Putri; Wuriasih, Anik; Parastri, Desirianingsih H.
ACE: Accounting Research Journal Vol 5 No 2 (2025): December
Publisher : Fakultas Ekonomi dan Bisnis Universitas Papua

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Abstract

This study aims to analyze and compare the accuracy of five bankruptcy prediction models: the Altman Z-Score, Springate S-Score, Zmijewski X-Score, Grover G-Score, and Taffler T-Score, for textile and garment companies listed on the Indonesia Stock Exchange (IDX) for the 2022–2024 period. This study uses quantitative descriptive and comparative methods with secondary data from the financial statements of 18 companies, representing 54 observations. The analysis was conducted through calculating financial ratios for each model, the Kruskal–Wallis test, and accuracy testing. The results show differences in accuracy between the models. The Zmijewski model had the highest accuracy of 92.59% with a 7% error rate, followed by Grover (77.78%), Taffler (74.07%), Altman (72.22%), and Springate (46.30%). Thus, the Zmijewski model is considered the most effective in predicting potential bankruptcy in the textile and garment industry in Indonesia.
The Restaurant Tax Paradox: Bridging Effectiveness and Contribution to Regional Revenue (PAD) in Eastern Indonesia Sumari, Jenita; Malino, Marlina; Wuriasih, Anik
Jurnal Akuntansi, Keuangan, dan Manajemen Vol 7 No 1 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v7i1.4790

Abstract

Purpose: This research explores the paradoxical nature of restaurant taxation in Manokwari Regency, West Papua, by assessing both the efficiency of tax collection and its contribution to local own-source revenue (PAD) from 2019 to 2023. Methodology/approach: Using a descriptive quantitative method, the study analyzes secondary data from regional financial reports. SPSS version 25 is used to assess the efficiency of tax collection and its contribution to PAD. Pearson correlation and simple linear regression are applied to explore the relationship between the variables. Results/findings: The results show that the effectiveness of restaurant tax collection in Manokwari consistently exceeds annual targets, with an average rate of 108.44%. However, its fiscal contribution to PAD remains modest, averaging only 9.49% per year. Statistical tests indicate a positive but statistically insignificant relationship between collection effectiveness and PAD contribution, with a determination coefficient of only 1%. Conclusions: This study highlights a structural gap between administrative achievement and fiscal impact. This paradox is mainly caused by a narrow tax base, the predominance of micro and informal businesses, and low voluntary compliance. To enhance PAD from the restaurant tax sector, it is essential to expand the tax base, improve fiscal literacy, and strengthen supervision and incentives for restaurant businesses. Limitations: This research is limited to Man okwari Regency and adopts a quantitative approach without incorporating external or qualitative factors. Contribution: This study provides actionable recommendations for optimizing restaurant tax management in developing regions and offers a foundation for further research using broader and mixed-method approaches to achieve a more comprehensive understanding of local tax governance.