Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal) Majalah Bisnis & IPTEK
Mochamad Kohar Mudzakar
Universitas Widyatama, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Effect of Progressive Tax on Regional Income: Study at One of The Centers of Income Management in Cimahi City Deswita Maharani; Mochamad Kohar Mudzakar
Jurnal Ekonomi, Bisnis & Entrepreneurship Vol. 17 No. 1 (2023): Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal)
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/b31mk823

Abstract

This study aims to explore the effect of Progressive Tax on Regional Original Income, one of the SAMSAT Revenue Management Centers in Cimahi City, for 2018-2022. Progressive Tax is an independent variable, while Local Own Revenue is the dependent variable. This research method uses quantitative research methods with a descriptive approach. The results of this study indicate that Progressive Taxes have a significant effect on Regional Original Income. To increase the effect of Progressive Tax on Regional Original Income, one of the SAMSAT Revenue Management Centers in Cimahi City. It is best to strengthen related laws and regulations and improve the performance of regional apparatus to optimize tax revenue and original regional income.
Bankruptcy Prediction Model: Altman (Z-Score), Springate (S-Score), Zmijewski (X-Score) And Grove (G-Score) Models in Companies Listed at The LQ 45 Stock Index Ros Bunga Bondar; Mochamad Kohar Mudzakar
Jurnal Ekonomi, Bisnis & Entrepreneurship Vol. 17 No. 2 (2023): Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal)
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/fksmm983

Abstract

This study aims to assess the effectiveness of four prominent bankruptcy prediction models, namely Altman's Z-Score, Springate's S-Score, Zmijewski's X-Score, and Grove's G-Score, in forecasting financial distress among companies listed on the LQ 45 Stock Index. The research leverages financial data spanning a specified period to construct and evaluate the predictive capabilities of these models. By employing a sample of companies operating within the LQ 45 index, the study provides a comprehensive comparative analysis of the models' accuracy, sensitivity, and specificity in identifying firms at risk of bankruptcy. Additionally, this research investigates potential improvements or synergies that may arise from combining the predictive power of multiple models. The findings of this study contribute to the body of knowledge in corporate finance and offer valuable insights for stakeholders, investors, and policymakers involved in risk assessment and financial decision-making within the context of the Indonesian stock market.
Analysis Of Altman Z-Score Modified Methods in Predicting Bankruptcy in LQ45 Companies Ifanda Maya Arista; Mochamad Kohar Mudzakar
Majalah Bisnis & IPTEK Vol. 15 No. 2 (2022): Majalah Bisnis & IPTEK
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/hhsbby62

Abstract

The purpose of the study was to predict bankruptcy rates in companies indexed in LQ45. The study was conducted on 20 companies as samples taken based on purposive sampling techniques for the period 2019 – 2021. The research method used is explanatory with descriptive investigations. The results showed that companies that met the healthy category in 2019, 15 companies, in 2020, 13 companies, and in 2021, 14 companies. Grey area category in 2019 – 2020, 3 companies, in 2021, 2 companies. For the bankruptcy category in 2019, 2 companies, and in 2020 – 2021, 4 companies.
Co-Authors Deswita Maharani Ifanda Maya Arista Ros Bunga Bondar