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This research seeks to assess PT. BNI (Persero) Tbk's performance through the utilization of the balanced scorecard approach, encompassing financial, customer, internal processes, and learning/growth perspectives. The study, employing a descriptive method, focuses on PT. BNI (Persero) as the sample population, utilizing documentation techniques for data collection. Results indicate favorable financial indicators (ROA, ROE, NPM, BOPO, LDR), subpar customer metrics (customer acquisition, retention), excellent internal business processes (AETR, NGR), and positive learning/growth aspects (employee productivity, ETTE).

The Covid-19 pandemic has occurred. Since 2019, almost all countries in the world have experienced it. The Indonesian population is experiencing a pandemic that causes millions of people to experience difficulties, one of which is economic factors, namely in paying off debt or murabaha financing at Islamic banks and conventional banks. This is due to a decrease in daily income. If these conditions are not addressed properly, it will result in a decline in the economic growth of a country. This article aims to examine the application of the Qur'an Surah Al Baqarah verse 280 to the gift of restructuring murabahah financing to customers affected by the Covid-19 pandemic. The researcher used the literature review method. In addition, this study also uses a narrative analysis method to describe the reality that occurs in the field and conducts interviews with customers and the Bank. The research study conducted in this article shows that the application of Surah Al Baqarah verse 280 during the Covid-19 pandemic can be a solution to maintain the level of economic growth in Indonesia.

This article examines the role of the agricultural sector in efforts to reduce poverty and enhance welfare in developing countries. The primary objective of this research is to analyze the extent to which the agricultural sector can contribute to the improvement of social and economic conditions in these nations. The research method involves the analysis of secondary data from various sources, including agricultural production data, food consumption patterns, and socio-economic and policy factors that influence the agricultural sector. The results of the study indicate that the agricultural sector plays a significant role in reducing poverty and enhancing welfare in developing countries. Firstly, the agricultural sector provides employment opportunities for a significant portion of the rural population, often the most vulnerable to poverty. Consequently, the agricultural sector contributes to increased income and access to economic resources for rural communities. Secondly, the agricultural sector also plays a crucial role in providing sufficient and affordable food for the population in developing countries. This positively impacts nutrition and public health, subsequently affecting the quality of life and overall welfare. By improving productivity and access to food resources, the agricultural sector can help reduce hunger and malnutrition. Thirdly, the agricultural sector has the potential to support national economic growth by supplying raw materials to the food processing and textile industries. This creates additional economic opportunities and enhances the competitiveness of developing countries in the global market.

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.    

The purpose of this study is to ascertain whether the population growth rate and unemployment rate have an impact on the poverty rate in West Java. Population growth and the unemployment rate are the independent variables, followed by the poverty rate as the dependent variable. The time series data used in this study include the years 2019 through 21. Multiple regression using SPSS 25.0 is the analytical approach employed. Where the regression equation, Y = 41,491 + 9,385 X1 + 14,239 X2, is discovered. This demonstrates that the poverty rate in the province of West Java has a unidirectional relationship with both the unemployment rate and population growth. The T test results showed that there was no relationship between West Java's poverty level and the unemployment rate. Additionally, the West Javan poverty rate is unaffected by the population growth variable. The F test indicates that the independent factors collectively have an impact on the dependent variable. The poverty rate is affected by the unemployment rate and population growth to the tune of 7.7%, with other factors affecting the remaining 92.3%.