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DETERMINAN STRUKTUR MODAL DAN DAMPAKNYA TERHADAP NILAI PERUSAHAAN Handayani, Maria Eki; Ichwanudin, Wawan; Khaerunnisa, Enis
ANALISIS Vol. 13 No. 1 (2023): ANALISIS VOL. 13 NO. 1 MARET 2023
Publisher : FACULTY OF ECONOMICS AND BUSINESS FLORES UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/als.v13i1.2540

Abstract

This study tested the determinants of capital structure and its impact on the value of the company. The determinant variables of Capital Structure used are Profitability, Liquidity and Asset Structure. This study uses data from the IDX using a sample of companies that are members of the IDX30 index that have complete data in 2016-2020.. Variables that affect the capital structure used are profitability, liquidity, and asset structure. In this study, there were 12 populations. The data analysis technique in this study used and two-stage regression. The results find that Profitability, Liquidity and Assets Structure are the determinant of Capital Structure. Capital structure obtained from the first stage of regression has a negative and significant effect on Firm Value.    
FIRM SIZE AS A CONTROL VARIABLE IN THE EFFECT OF PROFITABILITY ON STOCK PRICE WITH CAPITAL STRUCTURE AS MEDIATOR Istiqomah, Atika Rizki; Ichwanudin, Wawan; Suryani, Emma
Management Science Research Journal Vol. 2 No. 3 (2023): August 2023
Publisher : PT Larva Wijaya Penerbit

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56548/msr.v2i3.74

Abstract

Purpose: The objective of this research is to figure out the impact of profitability (X) on stock prices by using capital structure (Z) as a mediating controllable and firm size as a predictor (Y). Methodology/approach: This study's population comprised eighteen companies, and it engaged secondary data and causal associative research methods with a quantitative approach. The regression intervention data analysis technique was used the SPSS 22 software. Results/findings: According to the analyses, ROA seemed to have a positive significant impact on stock prices, whereas DER had quite a significant negative impact on stock prices.Limitations: For five years, this sample was using one sub-sector of textile and garment companies. Contribution: Investors are expected to pay focus on aspects of profit related to net profit got each period based on managerial implications. Then, investors must consider the company's debt and equity levels, because companies with high debt levels can be risky to invest in. Novelty: Even though previous researchers' study became inconstant, the authors add debt to equity ratio as a mediator factor and firm size as a control framework in this research.
THE EFFECT OF MARKETING DUALITY ON PERFORMANCE: USING A RESPONSE SURFACE APPROACH TO OVERCOME EMPIRICAL BARRIERS Aripin, Zaenal; Ichwanudin, Wawan; Faisal, Ijang
Journal of Jabar Economic Society Networking Forum Vol. 1 No. 3 (2024): Jesocin - February
Publisher : Organisasi Kreatif Indonesia Emas

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

Abstract

Marketing plays a crucial role in improving company performance. However, the relationship between marketing strategy and company performance is not always linear. The phenomenon known as the marketing duality effect shows the complexity in the interactions between marketing variables and company performance. To overcome the empirical obstacles associated with understanding duality effects, the response surface approach has been proposed as an effective analytical tool. This research aims to investigate the effects of marketing duality on firm performance and uses a response surface approach to overcome the related empirical obstacles. This study uses a qualitative descriptive analysis method to explore understanding of the effects of marketing duality and a quantitative response surface analysis method to model the relationship between marketing variables and company performance. The analysis shows that the duality effect of marketing has a significant impact on company performance, with interactions between marketing variables being complex and not always linear. By using a response surface approach, we can identify complex patterns in the relationships between marketing variables and company performance, and design more adaptive and responsive marketing strategies.