Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Application of Artificial Intelligence (AI) in Vehicle Motion Mechanics Learning to Optimize Students’ Critical Thinking and Problem-Solving Skills Doni Permana; Erni Masdupi
Jurnal Syntax Transformation Vol 6 No 12 (2025): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v6i12.1120

Abstract

This study examines the influence of working capital management on the financial performance of transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) from Q1 2020 to Q4 2024, with seasonality as a moderating variable. Working capital management is measured through Cash Conversion Cycle (CCC), Days Sales Outstanding (DSO), Days Inventory Outstanding (DIO), and Days Payable Outstanding (DPO), while financial performance is measured using Return on Assets (ROA) with leverage and firm size as control variables. Using a quantitative approach with panel data regression analysis and Moderated Regression Analysis (MRA), this study analyzes 100 quarterly observations from five transportation and logistics companies. The results show that CCC, DSO, and DIO have a significant negative effect on ROA, while DPO shows a positive but not significant effect. Seasonality significantly moderates the relationship between CCC, DSO, and DIO with ROA, indicating that seasonal variations strengthen the negative impact of working capital inefficiency on financial performance. These findings provide important implications for companies to optimize working capital management strategies by considering seasonal patterns in the transportation and logistics industry.
The Effect of Financial Performance on Company Value with Financial Technology as a Moderating Variable in Banking Companies Listed on the Indonesia Stock Exchange Resyi Minora; Erni Masdupi
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 4 No. 12 (2025): Injurity: Interdiciplinary Journal and Humanity
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i12.1501

Abstract

Banking companies have a strategic role in maintaining economic stability, but banking companies face challenges in increasing corporate value amid regulatory changes, economic uncertainty, and accelerating digital transformation. This study aims to analyze the influence of financial performance on the value of companies with financial technology (fintech) as a moderation variable in banking companies listed on the IDX for the 2019–2023 period. Financial performance was measured using ROA, NPL, LDR, and BOPO, while company value was proxied by Tobin's Q. The research sample consisted of 43 banking companies with a total of 215 observations, and the analysis was conducted using Moderated Regression Analysis (MRA), using SPSS V 22 as an analysis tool. The results of the study showed that ROA, NPL, LDR, BOPO, financial technology, firm size, and firm age did not have a significant effect on the company's value. However, fintech has been shown to be able to moderate the relationship between ROA, LDR, and BOPO to the company's value significantly, while fintech's moderation in the relationship of NPLs to the company's value shows a significant but negative influence. These findings confirm that fintech adoption plays an important role in strengthening or weakening the influence of financial performance indicators on company value in the banking industry.