Journal of Industrial Engineering & Management Research

The Impact Of Production Cost Efficiency, Dividend Policy, And Capital Structure On The Growth Of Equity Of Automotive And Component Companies On The Indonesia Stock Exchange 2020-2024

Indah Permata Maria Br Manurung — 2026-05-09

This study aims to analyse the influence of production cost efficiency, dividend policy and capital structure on the growth of equity capital in companies in the automotive and components sector listed on the Indonesia Stock Exchange for the period 2020–2024. This study employs a quantitative approach using the panel data regression method. The population of this study consists of 26 companies in the automotive and components sector, with a sample of 20 companies. The sample was selected using a purposive sampling technique. The data used are secondary data from the companies’ annual financial reports, processed using EViews 12 software. The results of the empirical tests reveal that production cost efficiency has a negative and significant influence on equity growth, that dividend policy has no significant influence on equity growth, whilst capital structure has a positive and significant influence on equity growth. The results of the simultaneous test (F-test) show that production cost efficiency, dividend policy and capital structure, taken together, have a significant influence on equity growth. This study supports the pecking order theory, the dividend irrelevance theory and the trade-off theory in explaining the determinants that influence the growth of companies’ equity.

THE EFFECT OF GREEN ACCOUNTING AND GREEN INVESTMENT ON FINANCIAL PERFORMANCE OF MINING COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE IN THE 2020-2024 PERIOD

Nurul Hasanah — 2026-05-09

This study aims to analyze the effect of green accounting and green investment on the financial performance of mining companies listed on the Indonesia Stock Exchange for the period 2020-2024. This study uses a quantitative approach with panel data regression methods. The research sample consisted of 20 companies selected through purposive sampling from a total of 39 mining companies. The data used was secondary data sourced from annual reports and sustainability reports. The results of the study indicate that green accounting does not have a significant effect on financial performance as proxied by Return on Assets (ROA), while green investment has a significant effect on ROA. Simultaneously, green accounting and green investment have a significant effect on company financial performance. These findings support stakeholder theory, signaling theory, and legitimacy theory in explaining the relationship between environmental practices and company financial performance.

Quality Control of PCC (Portland Composite Cement) Using the Six Sigma Method at PT. XY

Achmad Syarifudin — 2026-05-30

PT. XY is a premium cement manufacturer producing Portland Composite Cement (PCC) and Ordinary Portland Cement (OPC). Throughout 2023, the company’s production line experienced recurring defect problems, including cement contaminated by water, weighing scale non-compliance with Standard Operating Procedures (SOP), and brittle cement quality. These conditions led to a decline in customer satisfaction while simultaneously increasing production costs. This study applies the Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) framework to identify, measure, and minimize defect rates. Data collection was conducted from January to December 2023 at the Quality Control Laboratory of PT. XY, Ciwandan Plant, Cilegon, Banten. The analysis revealed 83,523 defective sacks out of a total of 432,751 sacks produced. The Defects Per Million Opportunities (DPMO) value obtained was 64,334.9, equivalent to a sigma level of 3, indicating that the production process is at an average industrial level and still requires significant improvement. The most dominant defect type was scale non-compliance with SOP (38.23%), followed by brittle cement quality (31.08%) and cement exposed to water (30.69%). Through fishbone diagram analysis, the primary causal factors were identified across categories of human, machine, method, material, and environment. Specific improvement recommendations for each defect category are proposed to drive the sigma level toward a higher stage.