Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Proceeding International Conference on Digital Education and Social Science
Nur Anisah
Institut Teknologi & Bisnis PGRI Dewantara Jombang
Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Earnings Manipulation Analysis Using Beneish M-Score in Textile and Garment Companies on IDX 2020-2024 Novi Purwaningsih; Nur Anisah
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.147

Abstract

This study aims to analyze the application of the Beneish M-Score Model in detecting indications of earnings manipulation in textile and garment companies listed on the Indonesia Stock Exchange for the 2020-2024 period. The Indonesian textile industry is facing a structural crisis with 60 companies closing since 2022, mass layoffs reaching 80,000 workers, and factory utilization dropping to 45-50%. The results show that of the 15 sample companies, 7 companies (46.67%) are indicated to have engaged in earnings manipulation based on the M-Score threshold > -2.22, namely Inocycle Technology Group, Asia Pacific Investama, Pan Brothers, Century Textile, Eratex Djaja, Asia Pacific Fibers, and Sunson Textile. The companies with the highest risk are Inocycle Technology Group (maximum M-Score 39.07), Asia Pacific Investama (maximum M-Score 54.78), and Pan Brothers (maximum M-Score 26.60). Trend analysis shows a pattern of progressive deterioration in several companies in line with worsening industry conditions. The TATA (Total Accruals to Total Assets) and DSRI (Days Sales in Receivables Index) components are the dominant indicators of manipulation. This research provides practical contributions for investors, creditors, and regulators in identifying early warning signals related to the quality of financial reporting.
The Effect of Behavioral Bias on Investment Decisions Through Risk Perception as a Mediating Variable Setiya Amelia Vega; Nur Anisah
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.152

Abstract

This research seeks to examine how three behavioral biases—dispositioneeffect, herding behavior, and blue chippstock bias—oniinvestment decision, considering risk perception as a mediating factor among retail investors PT. Phintraco Sekuritas Surabaya. The scope of this study includes testing the direct and indirect influences between variables through an explanatory quantitativeeapproach. Data was gathered from 100 participants throughaa Likerttscale questionnaireeand subsequently analyzed utilizing data quality assessments, classical assumption evaluations, multipleelinear regression, and Sobel tests to investigate the mediating effect. The results suggest that herd behavior and a preference forrblue-chip stocks have a significant influenceeon the perception of risk, while the dispositioneeffect has no influence. In testing investment decisions, only herding behavior and risk perception showed a significant effect, while the effects of disposition and blue chip stock bias had no direct effect. The Sobel test has shown thattrisk perceptionnmediates the relationshippbetween herding behavior and the blue-chip stocks biasiin investment decisions, but not the influence of disposition effect. Overall, the study concludes that herding behavior and perceptions of blueechip stocks shape riskpperception, which ultimately influences investmenttdecisions, thus proving that risk perception is an important mediator in the retail investor behavior model.
Co-Authors Novi Purwaningsih Setiya Amelia Vega