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The Influence of Return on Asset, Firm Size, and Earnings Per Share on Underpricing With Debt to Equity Ratio as a Moderating Variable in Companies That Conduct an IPO on the Indonesian Stock Exchange Mandayani, Marsela Siti; Yulianti, Eka
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

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Abstract

The purpose of this research is to determine the effect of financial information on underpricing in companies conducting Initial Public Offerings. The variables used in this research include Return on Assets (ROA), Firm Size (FS), Earning Per Share (EPS), and Debt to Equity Ratio (DER). The population studied involved companies that conducted an IPO and were listed on the Indonesian Stock Exchange in 2018-2022. Sampling was carried out using a purposive sampling method, with a total of 195 companies as samples. Data analysis was carried out through the MRA test using Eviews 10 software. The research results showed that Return On Assets and Firm Size had a negative effect on Underpricing. Meanwhile, Earning Per Share has no effect on Underpricing. Apart from that, the Debt To Equity Ratio can moderate the influence of Return On Assets and Earning Per Share on Underpricing, but cannot moderate the influence of Firm Size on Underpricing. Simultaneous test results show that the variables Return On Assets, Firm Size, and Earning Per Share simultaneously influence Underpricing.
Accuracy Analysis of the Financial Distress Prediction Model Using Altman Z-Score, Springate, Zmijewski And Grover in the Oil, Gas and Geothermal Mining Subsectors Listed on the Indonesian Stock Exchange (BEI) Nurfadillah, Putri Sypa; Yulianti, Eka
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

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Abstract

This study is to ascertain the accuracy of the financial distress prediction model in oil, gas, along with geothermal mining subsector firms for the 2018–2022 period by applying the Altman Z–Score, Springate, Zmijewski, also Grover models. The research methodology employed in this study is descriptive quantitative, utilizing secondary data taken from the financial accounts of the organization. Using a purposive sample approach, the study's sample consisted of 10 firms, whereas the population consisted of 16 companies. The analysis technique utilized is the degree of accuracy as well as type of error using Microsoft Excel 2019 software. The outcomes of this study show that the Grover model has the highest accuracy percentage of 76%, preceding the Altman Z-Score model 24%, Springate 22% as well as Zmijewski 60%.
Faktor Penentu Financial Distress pada Perusahaan Sektor Pertanian yang Terdaftar di BEI Periode 2015-2019 Noviyani, Nurul; Yulianti, Eka
Studi Ilmu Manajemen dan Organisasi Vol. 3 No. 2 (2022): Oktober
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v3i2.852

Abstract

Purpose: The motive of this studiesto determine impact of ROA, CR, DER on financial distress the use of Altman Z-score approach. Research Methodology: This studies is a quantitative research using panel data dimensions, descriptive and associative data analysis, non probability sampling and purposive sampling techniques, as well as using the random effects model analysis method on Eview10. Result: The effects of this study suggest ROA has positive effect on the Z-Score, CR has positive effect on the Z-Score and DER has negative effect on the Z-Score, simultaneously ROA,CR,DER afffect financial distress. Limitations: The limitations in this study are best performed within the argicultural area listed on Indonesia Stock Exchange for the 2015-2019 period in line with the researcher’s criteria by the use of  ROA,CR,DER variabels in predicting the potential for financial distress and using Altman Z-score technique which has the opposite interpretation. Contribution: Research contribution to provide information for argicultural sector companies to improve performance so as to avoid potential financial distress, be considered for investor earlier than making an investment so the get income, and as facts for in addition research.
Organizational Justice and Organizational Citizenship Behavior: The Mediating Effect of Work Satisfaction Widjajani, Susi; Rahmawati, Fitri; Yulianti, Eka
Jurnal Analisis Bisnis Ekonomi Vol 19 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/bisnisekonomi.v19i1.3843

Abstract

The use of village funds in 2020 is prioritized to finance the implementation of programs and activities in the field of development and empowerment of village communities. In order for the use of village funds to be managed optimally, organizational citizenship behavior (OCB) from the Village Apparatus is needed as the implementer. OCB behavior willemerge if Village Apparatus feel the existence of organizational justice and are satisfied with their work. This study aims to examine the mediating role of job satisfaction on the effect of organizational justice on OCB. The study population was 94 village apparatus in the Village Government of Padureso District, Kebumen Regency. The sampling technique used census techniques and data analysis using Path Analysis. The questionnaire used was adopted from previous research and its validity and reliability were tested. The results showed that there was an indirect influence between organizational justice on OCB, with job satisfaction as the mediating variable. The implication of this research is that there is a positive relationship between employees (village apparatus) and the organization if employees feel justice in the organization and job satisfaction
The Influence of Transformational Leadership Style and Employee Behavior on the Implementation of Role-Based Matrix Task Distribution in the Deputy for Investment Planning, Ministry of Investment and Downstream Industry/BKPM Yulianti, Eka; Supriyatno, Budi; Hakim, ⁠Azis
Dinasti International Journal of Management Science Vol. 7 No. 2 (2025): Vol. 7 No. 2 (2025): Dinasti International Journal of Management Science (Novem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijms.v7i2.5873

Abstract

To determine the optimality of implementing a Result-Oriented Role Matrix (RORM) task allocation in achieving an organization's vision and mission, transformational leadership style and employee behavior are essential for the effectiveness of such implementation. A transformational leader, with the ability to provide inspiration, motivation, and intellectual stimulation, can create a conducive work environment for a matrix system that demands high collaboration and accountability. Aspects of employee behavior, such as initiative, adaptability, and commitment to team goals, are also examined as supporting factors in implementing RORM-based task allocation in a measurable manner. The RORM concept is an approach in a matrix format that allocates tasks based on specific roles and maps responsibilities to avoid overlap. This research employs a quantitative approach with a causal-associative method. This approach was chosen to test the cause-and-effect relationship between independent and dependent variables. The research design is explanatory, aiming to explain the extent to which Transformational Leadership Style and Employee Behavior influence the success of the Implementation of Role-Based Output Matrix Task Division. The results indicate that transformational leadership and positive employee behavior significantly support the effectiveness of task division within a matrix structure, particularly in enhancing coordination and achieving investment objectives. This study affirms the importance of developing inspirational leadership and proactive employee behavior to optimize organizational performance within a matrix context. The practical implication is the necessity for leadership training and the enhancement of a collaborative work culture to support the implementation of matrix structures in government agency environments.