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Financing is the main function and product of Islamic banking, namely the distribution of funds aimed at helping those in need, and if managed properly, can contribute significantly to Islamic banking income. However, in their distribution, funds carry many risks due to the uncertain and diverse nature of humans. This risk is reflected in the existence of loans that face problems that reduce the profits or profitability of Islamic banks. The purpose of this study is to explain the effect of Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) on the profitability (ROA) of Bank Kaltimtara Syariah By including Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) as the independent variable and profitability (ROA) as the dependent variable. This is a quantitative research with multiple linear regression analysis techniques. The population or research theme is the annual report of Bank Kaltimtara Syariah. A total of 9 samples were taken from the Bank Kaltimtara Syariah Quarterly Financial Report for the 2016-2018 period. Based on the test results, it is known that tcount = - 1.4 98 < t table = 1.8 3 3 Financing and NonPerforming Financing (NPF) both have no significant positive effect on Return On Assets (ROA). While the Financing to deposit Ratio (FDR) regression shows a significant influence on Profitability (ROA). The amount of tcount is 1.859 > ttable 1.833

This study aims to determine the effect arising from Leverage, Dividend Policy and Working Capital Turnover in the company PT Indofood Sukses Makmur Tbk for the period 2012-2021. This study uses secondary data with a sample of 40 from the quarterly financial statements for 10 years belonging to PT Indofood Sukses Makmur Tbk. The data was obtained from the Indonesia Stock Exchange (IDX) website. The data that has been collected then goes through a prerequisite test, namely the Classic Assumption Test, Validity Test and Reliability Test before testing the hypothesis (multiple linear regression). The conclusion from the results of this study is that partially Leverage has a significant negative effect on company profitability. Dividend Policy Variable partially has a significant negative effect on the company's profitability. Partially, the Working Capital Turnover variable has no significant negative effect on the company's profitability. Leverage, Dividend Policy, and Working Capital simultaneously have a significant positive effect on the company's profitability, while the results of the coefficient of determination with a value of 0.726 which means that Leverage, Dividend Policy and Working Capital have an effect of 72.6% on the Company's Profitability and the remaining 27.4% influenced by other variables not included in this study.

Abstract. This study aims to determine the effect of compensation, motivation and work stress on employee performance. The sampling method is purposive sampling method with a sample of 68 respondents. The criteria used in this study are active Gojek drivers, members of the Gojek 24 Yogyakarta community, the second is the main job as a Gojek driver and has no other job. The analytical method used is Multiple Linear Regression Analysis. The results showed that compensation had a positive effect, motivation had a positive effect, and work stress had a negative effect on employee performance. The coefficient of determination shows that 88.8% of compensation, motivation and work stress variables affect employee performance, while the remaining 11.2% is influenced by other variables not examined.

Abstract. This study aim is to find out how customers feel about the atmosphere and quality of service at Sociostyle Stores. A descriptive quantitative method was used in this study. In this study, the study population was made up of people who shopped at the Temanggung Sociostyle Shop. The exact number of people who shopped there was not known because the number of people who shopped there was always growing. Because of this, the sampling strategy is based on the Lemeshow formula. Based on the numbers, the number of people in the sample is 100. For their research, the researchers used a questionnaire with a Likert scale and direct observation. After the data were collected, the instrument's validity and reliability were checked. After the instrument has been found to be valid and trustworthy, descriptive statistical analysis can continue so that the research questions can be answered. The results showed that all of the store atmosphere and service quality variables were in the very high category because their mean values were between 3.24 and 4.00.

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 was to determine the effect of leverage, profitability, company size, company age, Capital Adequacy (Capital Adequacy Ratio) and independent commissioners on Islamic social reporting (ISR). The research time period used is 6 years, namely the 2015-2020 period. The population of this research is Islamic Bank. The sampling technique used a purpose sampling technique. The type of data used is secondary data obtained from the official website of each Islamic Bank. The analysis method used is panel data regression. The results showed that leverage (DER) had a negative effect on Islamic social reporting (ISR), while profitability (ROE), company age and independent commissioners had no effect on Islamic social reporting (ISR). while company size and Capital Adequacy (Capital Adequacy Ratio) have a significant effect on the disclosure of Islamic Social Reporting (ISR) at Islamic Bank in Indonesia and Then together, the variable leverage (DER), profitability (ROE), company size, company age, Capital Adequacy  and independent commissioners have an effect on Islamic social reporting (ISR).    

Poverty is a problem faced by all countries in the world, especially in developing countries. Poverty is a complex problem that is influenced by many related factors, while this study aims to analyze how and how much influence the Human Development Index, Gross Regional Domestic Product and Unemployment Rate have on Poverty Rates in Indonesia in the period 2017 to 2021. This research using multiple regression analysis with panel data as the method of analysis. This research focuses on six provinces in Indonesia as cross section data and the time range from 2017 to 2021 as time series data. The results of the study show that simultaneously there is influence between the human development index variable Gross Domestic Regional Product and the response to poverty. Then partially, the human development index variable has a negative and significant effect on the poverty variable, and for the Gross Domestic Regional Product variable it shows positive and insignificant results on the poverty variable while the relaxation variable shows positive and significant results on the poverty variable. Furthermore, the coefficient of determination shows 99.6.

Foreign Investment (PMA) and Domestic Investment (PMDN) are indicators that clearly have influence over the state of the economy in a certain country. The goal of this study is to understand and analyze the impact of asing and local government investments on gross domestic product (PDB). The methodology used is a quantitative method that makes use of second-level data from the Badan Pusat Statistics (BPS). The information used is a time series that spans the years 2017 to 2021. . This study was analyzed using the Classical Assumption test and Multiple Regression With PMA and PMDN serving as variables X or independent variables and PDB serving as variables Y or dependent variables, The results of studies found that foreign investment or (PMA) have no significant impact on GDP, whereas domestic investment or (PMDN) has significant impact on GDP.

The current problems of income inequality, slow economic growth, and other interrelated complexities are all directly linked to poverty. Finally, all nations must fight poverty in order to provide a recognized and prosperous life for their citizens. Therefore, the aim of this study is to ascertain how poverty will change in Central Java Province between 2017 and 2021 as a result of inequality in income distribution and economic growth. Using quantitative research techniques, this research. Inequality of Income Distribution, Economic Growth, and Poverty The Central Statistics Agency (BPS) of Central Java Province in 2017–2021 is a secondary data source with time series data. In addition, other methods were used to collect and analyze the data. and processed using SPSS 25.0 software. The results of this study indicate that the partial and simultaneous test results show that the Inequality of Income Distribution and Economic Growth does not have an insignificant effect on the Poverty Level. But secondly, when the correlation and determination tests were carried out, the results showed that the two independent variables had a relationship of 64.1% and an influence of 41.1% on the Poverty Level in Central Java Province for the 2017-2021 period.  

Abstract. Indonesia's economic growth and open-air unemployment rates need to be discussed whether they have an impact or not. Free variables which are economic growth and bound variables are open unemployment. The research method used is quantitative method using document data from the statistical central body (BPS) in Indonesia. Research has shown that economic growth has not hada significant impact on open unemployment. . Where if there is an increase in economic growth it is not certain that it will reduce the open unemployment rate in Indonesia

This study aims to find empirical evidence about the effect of corporate governance on tax aggressiviness with the disclosure of corporate social responsibility as a moderating variable seen from the financial statements listed on the IDX. The sampel data is 193 annual financial reports in 2016-2020. The analysis was carried out using multiple linear regression analysis and Moderated Regression Analysis (MRA) with the SPSS version 21 program. Based on the results of data analysis and discussion conducted, it can be concluded that corporate governance has a positive effect on tax aggressiviness. Corporate social responsibility can weaken the negative influence of corporate governance on tax aggressiveness.

This study was conducted to examine the effect of Training and Development, Motivation, Competence on the Performance of High School Teachers in Batam City in the mediation of Organizational Commitment. The object of this research uses 3 schools in Batam City, namely SMAN 1 Batam, SMAN 3 Batam and SMAN 5 Batam, with a total population of 160 teachers. Determination of the sample using the Slovin Formula with a Margin Of Error 5% the result is 114 teachers obtained as a sample, data collection by distributing questionnaires through Google Forms in 3 schools and successfully filled out by 131 teachers. This research is quantitative, using Partial Least Square (PLS) for data processing, and the modeling technique used is Structural Equation Model (SEM). This study states that the Variables of Training and Development, Motivation, Competence have a significant positive effect on Organizational Commitment, Variables of Training and Development, Motivation, Competence and Organizational Commitment have a significant positive influence on Teacher Performance, Variables of Organizational Commitment Successfully Mediate the Variables of Training and Development, Motivation , Competence on Teacher Performance.

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%.

Based on the fundamental aspects of people's living standards, the measure of progress in human development is called the Human Development Index. As the basis for the development structure of a region, the Human Development Index (HDI) is the most significant benchmark or parameter. The purpose of this study is undoubtedly to ascertain whether poverty in DKI Jakarta Province is influenced by the Human Development Index (IPM) variable. To achieve the research objectives, tests were conducted using simple regression analysis and quantitative techniques. The test results show that poverty in DKI Jakarta Province is significantly affected by the Human Development Index (HDI) because the significance value is less than 0.05. Because the value of determination, or R2, is close to 1, and some of the other influence values are influenced by other variables that have not been analyzed or researched, the value of the results of the Variable Human Development Index (HDI) test has a strong positive influence on poverty in DKI Jakarta Province.  

The Human Development Index (HDI) & expenditure inequality for each province in Indonesia need to be studied whether the Human Development Index (HDI) and expenditure inequality in each district/city in Banten Province have an influence or not. The independent variable is the Human Development Index (HDI) and the dependent variable is expenditure inequality. The research method used is quantitative method using document data from the Central Statistics Agency (BPS) in Banten Province. The results showed that the Human Development Index (HDI) had no significant effect on expenditure inequality. Where if there is a decrease in the Human Development Index (IPM) it is not certain that it will reduce Inequality in Banten Province.

Human Development Index or HDI and Economic Growth in the Regency/City of Banten Province needsto be studied whether the Human Development Index and Economic Growth have influence or not. the studied variable are Independent Variable HDI and Dependent Variable Economic Growth . The research methods used is quantitative method using document data from Central Statistics Agency (CSA) with some literature review. The result showed that HDI had no significant effect on Economic Growth. Where if there is a decrease in the Human Development Index, it can’t be confirmed that it will reduce Economic Growth in Banten Province.   Keywords: HDI, Economic Growth, Banten

This study aims to analyse the significance factors of Sea Export Process, Forwarding Responsibility, and Warehouse Handling Process towards the operational performance of Raja abadi branch Company in Semarang. This study is performed to the company's staff members as the population of 70 respondents. The data collection involves observations, literary reviews, interviews, documentations, and questionaires. Furthermore, the analysis technique used in this study is based on the result of research and multiple analysis using SPSS v.23 program. Based on the results of the research, the following equations are generated : Y = 2,752 + 0,268X1 + 0,342X2 + 0,184X3 + µ Based on the multiple linear regression equation, the study found out that the most dominant variable in the operational performance of the company is the Forwarding Responsibility variable with the regression coeficiency of 0,342. Furthermore, the determinated coeficiency (adjusted R square) showed a result of 0,707 or 70,7%. This means the operational performance of the company is governed by the variables of Sea Export Process, Forwarding Responsibility, and Warehouse Handling Process by 70,7% as well as other factors by 29,3%. Therefore, it is found that Air Export Process, Forwarding Responsibility, and Warehouse Handling Process played a positive and significance role for the operational of the Raja abadi branch Company in Semarang.

Keselamatan Pelayaran merupakan hal yang sangat penting dan menduduki posisi sentral dalam segala aspek di dunia pelayaran. Pengabaian atas Keselamatan Pelayaran cenderung akan mengakibatkan kerugian dari segi materi, medis, pencemaran lingkungan perairan dan kerugian jiwa. Namun melihat kasus kecelakaan kapal yang semakin meningkat dari tahun ke tahun dan korban jiwa yang semakin banyak, keselamatan pelayaran perlu mendapat perhatian yang ekstra. Penelitian ini bertujuan untuk menganalisis pengaruh antara variabel independen terhadap variabel dependen. Dengan populasi Karyawan Operasional Kantor Syahbandar dan Otoritas Pelabuhan Tanjung Wangi dan Nahkoda diambil sampel sebanyak 100 responden. Teknik pengambilan sampel adalah Non-Probability Sampling dengan jenis Quota Sampling. Pengumpulan data menggunakan kuesioner, teknik analisis data yang digunakan adalah dengan analisis regresi linier berganda. Dari hasil penelitian terdapat hubungan antara variabel independen dengan variabel dependen, pengujian hipotesis menggunakan uji t menunjukkan bahwa ketiga variabel independen yaitu Sumber Daya Awak Kapal (X1), Alat Telekomunikasi (X2), dan Pemanduan (X3) yang diteliti terbukti secara individu berpengaruh positif dan signifikan mempengaruhi variabel dependen yaitu Keselamatan Pelayaran (Y). Dengan variabel Sumber Daya Awak Kapal (X1) memiliki pengaruh tertinggi dari pada variabel lain dalam mempengaruhi Keselamatan Pelayaran (Y). Pada uji koefisien determinasi (R Square) nilai Adjust R Square sebesar 0.619 artinya 61.9% peningkatan Keselamatan Pelayaran dipengaruhi oleh variable Sumber Daya Awak Kapal, Alat Telekomunikasi, dan Pemanduan. Sedangkan sisanya 38,1% dijelaskan oleh sebab – sebab yang lain di luar variabel yang diteliti.

Traffic accidents are influenced by several factors including human error, animals, weather, traffic signs. Of the four, have an influence on traffic accidents with satisfactory results. The purpose of this study was to determine whether there was an influence of Human error, Animals, Weather, and Traffic Signs on traffic accidents on the Denpasar-Gilimanuk highway, Jembrana Regency, Bali. In this study, the research population is motorized vehicle users who cross the Denpasar-Gilimanuk highway, Jembrana Regency by taking a sample system with a total of 93 respondents (samples). The variables in this study consisted of: Human error (X1), Animals (X2), Weather (X3), Traffic signs (X4) and the dependent variable was Traffic Accident (Y). The research model is multiple linear regression analysis. The results of the analysis using the statistical tool SPSS V.25 program obtained multiple linear regression equations Y = -1.530+0,313X1+0,227X2+0,258X3+0,318X4+µ. Shows that, based on empirical facts (the results of filling out the questionnaire) and multiple linear regression results show that the Human error variable (X1) has a t count of 3.680 and a t table of 1.98729 then H1 is accepted and significant, animals (X2) have a t count of 2,035 and t table of 1,98729 then H2 is accepted and significant, weather (X3) has a t count of 2.852 and t table of 1.98729 then H3 is accepted and significant, traffic signs (X4) has a t count of 4.618 and t table of 1.98729 then H4 is accepted and significant. In the coefficient of determination test (R Square) the Adjust R Square value of 0.633 means that 63.3% of the variation in the dependent variable of traffic accident factors can be explained by the independent variables of human error, animals, weather, traffic signs. While the remaining 36.7% is explained by other reasons outside the variables studied.