Claim Missing Document
Check
Articles

Found 12 Documents
Search

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Contribution of Restaurant, Hotel, and Advertising Taxes to Local Revenue (PAD) in Manokwari During Economic Volatility (2019–2023) Sumari, Jenita; Wuriasih, Anik
Amkop Management Accounting Review (AMAR) Vol. 6 No. 1 (2026): January - June
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v6i1.3662

Abstract

This study aims to analyze the effectiveness and contribution of restaurant, hotel, and advertising taxes to the Local Own-Source Revenue (PAD) of Manokwari Regency from 2019 to 2023, within the context of inflation dynamics and economic growth. Employing a quantitative approach through descriptive statistics, Pearson correlation, and multiple linear regression analysis, this study examines the simultaneous effects of these variables on PAD. The findings reveal that all three taxes are categorized as highly effective, with restaurant tax achieving an average effectiveness of 108.44%, hotel tax 97.85%, and advertising tax 97.01%. However, only advertising tax demonstrates a significant contribution to PAD, showing a very strong correlation (r = 0.977; p < 0.01). Although restaurant and hotel taxes are collected effectively, their contribution remains relatively low and statistically insignificant. Inflation and economic growth variables display positive but statistically insignificant correlations. These results highlight the paradox between tax effectiveness and its actual contribution, emphasizing the need for context-specific and data-driven fiscal policy approaches. This study contributes to the development of a regional fiscal model that is responsive to local economic dynamics and supports the sustainable optimization of local revenue sources.