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Telkomsel is the leading provider of cellular telecommunications services in Indonesia based on market share. At the end of March 2008, Telkomsel had 51.3 million subscribers, which based on industry statistics represents an estimated market share of almost 51%. Telkomsel provides GSM cellular services in Indonesia, nationally via the dual band GSM network 900/1800 MHz and internationally via 288 international roaming partners in 155 countries (at the end of 2007. The aim of this research is to analyze the company's condition by looking at the financial ratios that describe company performance and analysis of the company's optimal capital structure. The data in this research is secondary data originating from the Central Statistics Agency, the Agency for the Application and Assessment of Technology, the Directorate General of Posts and Telecommunications and the Directorate General of Telematics Applications, Department of Communications and Information Technology. Data used in This research is data about the condition of the cellular telecommunications industry in Indonesia which includes expenditure, infrastructure, customers, human resources (labor). Data was taken from company condition reports (annual reports) PT. Telkomsel, PT. Indosat , and PT Excelcomindo for the quarterly period 2005-2008.

This study aims to examine the effect of profitability, asset structure, liquidity and sales growth on the capital structure of food and beverage subsector manufacturing companies listed on the Indonesia Stock Exchange (1DX). The research time period used was 6 years, 2016-2021. The population of this study includes manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange (BEI) for the 2016-2021 period. The sampling technique used purposive sampling. Based on the predetermined criteria, 10 companies were obtained from manufacturing companies in the food and beverage sub-sector. The type of data used is secondary data obtained from the Indonesia Stock Exchange website. The analysis method used is panel data regression analysis using Eviews software version 12.0. The panel data regression model used is the Random Effect Model. In this study, the dependent variable is capital structure (Y) and the independent variable is profitability (X1), asset structure (X2), liquidity (X3), sales growth (X4) and leverage (X5). The results of his research indicate that the independent variables (profitability, asset structure, liquidity, sales growth and operating leverage) have a simultaneous effect on the dependent variable on capital structure. Partially the asset structure and leverage has a positive effect, while profitability, liquidity and sales growth have no effect on the capital structure.