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The purpose of this research is to see how much influence the halal label has on the choice of cosmetic products (make up) among Islamic Economics students at UIN Sultan Maulana Hasanuddin Banten. This research uses quantitative methods and descriptive verification methods. This research information was collected through a survey distributed to 30 students of the Sharia Economics Study Program at UIN Sultan Maulana Hasanuddin Banten.  The data in this research were analyzed using the IBM SPSS Statistics version 25 program. According to the research results, the halal label variable has a very large and beneficial influence on the choice of cosmetics. These results are viewed from the results of hypothesis testing on the accepted variables, which show that there is a strong positive influence of the halal label variable on the assessment of cosmetic selection.

The research is a process of analyzing the effect of unemployment on poverty through economic growth in North Sumatra Province from 2021 until 2023. The survey was conducted in 2023 districts/cities in North Sumatra Province by the North Sumatra Central Statistics Agency. 2021-2023. The results of this research state that population growth has a strong significance on the level of open unemployment. However, economic growth has a negative impact on the open unemployment rate. At the same time, population size and economic level are related to open unemployment. These results suggest that states and city governments should pay more attention to this issue. To improve the regional economy and slow population growth, apart from investing money, the focus should also be on creating new jobs. In this way, more people will get jobs and the problems of unemployment and poverty will be reduced.

This research aims to determine the influence of the rupiah exchange rate on the use of Kina in Mosso Village, Muara Tami, Papua. Quantitative methods were used in this research to analyze secondary data collected from the websites of Bank Indonesia and the Indonesian Central Bureau of Statistics. The number of quarters, which collects all information during the study period, was used for sampling. This research uses two independent variables: inflation, Bank Indonesia interest rates (SBI) and money supply (JUB). The dependent variable is the exchange rate. Multiple linear regression analysis, T test, and F test were used to analyze the data. The results of the T hypothesis test show that inflation has a significant influence on the exchange rate partially during the period studied, with a significance value of 0.001. The interest rate does not have a significant influence on the exchange rate partially during the period studied, with a significance value of 0.462. The money supply also does not have a significant influence on the exchange rate partially, with a significance value of 0.17. The results of the F hypothesis test with a significance value of 0.000 show that inflation, interest rates and money supply simultaneously have a significant influence on the exchange rate in the 2018–2022 period.

PT. Garuda Utama Persada is a company that provides security and loss prevention services to clients in related fields, mining, offices, housing, airports, power plants, factories, hotels, restaurants, banks, hospitals, shopping centers, warehouses and high-rise buildings. The aim of this research is to analyze the influence of training and development programs on employee performance at PT. Garuda Utama Persada. The research was conducted for 3 months (April – June 2024). The data collection method was through interviews and questionnaires which were distributed to 105 respondents. The analysis method is quantitative statistics. Data analysis includes instrument quality tests consisting of validity and reliability tests, classical assumption tests, t tests and F tests. The results of this research show that the training program partially has a positive and significant effect on employee performance (t count 3.114 > t table 1.98350 and sig value 0.002 < 0.05). Partial development has a positive and significant effect on the performance of PT employees. Garuda Utama Persada (t count 3.992 > t table 1.98350 and 0.000 < 0.05). The implication of the results of this research is that providing good training and development programs will improve employee performance.

This study aims to estimate the population in Minahasa Regency at t=7 or t=8 in 2026-2027 using a logistic population model. Based on data obtained from the Minahasa Regency Central Statistics Agency (BPS) from 2019 to 2022, it can be assumed that the capacity limit (K) = 400,000. The results of this research show that the accurate model to use in determining the estimated population of Minahasa Regency is the model with k = 0.0588644467, and the relative growth rate is 5.88% per year. Then, using the logistic method, the general form of the solution is obtained, namely P(t )=400,000/(e^(-0.0588644467t) (0.16921458)+1). Furthermore, the results obtained show that the predicted population of Minahasa Regency in 2026-2027 is 359,690 and 361,774 people.

This research aims to assess how efficient and effective regional financial management in Semarang Regency utilizing secondary data from the Central Statistics Agency (BPS) for the years 2018–2022. Data were collected through literature study, non-behavioral observations, and data analysis using efficiency ratio and effectiveness ratio. The results showed that the level of efficiency of Semarang Regency’s regional financial management fluctuated and was generally inefficient, with a ratio ranging from 91% to 108.51%. Meanwhile, The efficiency of local financial management tends to be better, with a ratio ranging from 93.62% to 121.10%. Therefore, the Semarang Regency government is advised to increase Regional Original Revenue (PAD) and optimize the efficiency of financial management through improving the quality of human resources.

This research aims to determine the influence of the guided inquiry learning model assisted by Quizzizz on students' critical thinking abilities. This research is quantitative research with an experimental design. The data sources for this research include students in class The sampling technique in this research used a cluster sampling technique and a research sample of 70 students was obtained. The samples used in the research were 35 students in class X of the Accounting and Finance expertise program at Institution 1 as the experimental group and 35 students in class Data collection techniques using test methods and documentation methods. Data analysis in the form of prerequisite tests for this research is the normality test with Kolmogrov-Smirnov and the homogeneity test with Levene Statistics. Hypothesis testing in this study was the Independent Sample T-Test with a significant value of 0.05 with the help of the SPSS Version 27 program. The results of this study concluded that there was an influence of the guided inquiry learning model assisted by Quizzizz on students' critical thinking abilities. This is indicated by a significant value of 0.014 < 0.05.  

Crime cases are a common problem for many countries around the world. It doesn't matter whether the country is a developed country, a developing country or a poor country. In Indonesia itself, there are still many cases of crime, many of which are caused by economic problems such as income inequality, poverty, high levels of poverty, and low levels of education which can influence crime itself. By knowing whether these economic problem variables influence crime or not, the crime problem in Indonesia can be addressed better. This type of research is included in quantitative research. In this research, we will examine economic inequality, poverty levels, education levels and poverty levels on crime in Indonesia in 2013-2023. The data used in this research is secondary data, namely data obtained from a second source during the period 2013 to 2023. The type of data used in this research is time series data. The data in this research were obtained from publications from the Indonesian Central Statistics Agency. The data collection method uses the documentation method, namely the method of collecting data on economic inequality, poverty levels, education levels, unemployment and crime rates which is carried out by taking data from various documentation or publications from the Central Statistics Agency (BPS). The research results obtained are that economic inequality has an insignificant positive effect on the crime rate, while education level, poverty level and open poverty rate have an insignificant negative effect on the crime rate.

Poverty is one of the fundamental problems that is of concern to the central government in any country, nationally and internationally. Indonesia is one of the countries that is still trapped in the problem of poverty which has not yet been completely resolved. This research aims to analyze the influence of open unemployment, government expenditure, human development index on the number of poor in Lampung Province. The research data used is secondary data from publications by the Lampung Province Central Statistics Agency. The independent variables in this research are the influence of Open Unemployment and the Human Development Index, while the dependent variable is the Number of Poor People. The analysis technique used is Multiple Regression Analysis with the Ordinary Least Square (OLS) Method. The research results show that Open Unemployment (TPT) research has a negative and insignificant effect on the number of poor people, education level (TP) has a negative and not significant effect on the number of poor people, the minimum wage (UMK) has a significant positive effect on the number of poor people, while the Human Development Index (HDI) has an insignificant negative effect on the number of poor people. The results of the F test, Open Unemployment, Government Expenditures and the Human Development Index have a simultaneous or equally significant positive effect on the Number of Poor People in Lampung Province.      

This research aims to find out whether discipline and motivation influence student learning at the Essa Edutama School in Palembang. This type of research is included in quantitative research. This research was conducted at the ESSA EDUTAMA PALEMBANG school. The population in this study were teachers at the ESSA EDUTAMA PELMBANG school, totaling 20 teachers. The sampling technique used in this research is saturated sampling. In data collection carried out using primary data, primary data is by distributing questionnaires to respondents. The data collection technique in this research is a questionnaire. This research was analyzed using multiple linear regression using the IBM SPSS Statistics 25 program. Variable measurements used a Likert Scale: Strongly Agree (weight 4), Agree (weight 3), Disagree (weight 2), and Strongly Disagree (weight 1). The analytical tool used in this research is: T test. It is hoped that the results of this research will serve as a basic reference later in making a thesis proposal, so that this research method will study procedures regarding teacher discipline on student learning motivation. Research and includes activity steps, as well as research methods that will later be used. The conclusion in this research is that it can be concluded that the analysis of teacher discipline on student learning motivation influences each other. This can also be seen if teacher discipline increases, student learning motivation will also increase so that there can be a positive and significant influence between teacher discipline on student learning motivation. at the Essa Edutama Palembang school.  

This research was conducted with the aim of determining the influence of exports, imports and foreign debt on economic growth in Indonesia for the period 2013 - 2022. The measurement of export, import and foreign debt variables is explained through the position of exports, imports and government foreign debt, economic growth is measured through economic growth in the secondary sector. Data obtained via download on the websites of Bank Indonesia and the Central Statistics Agency. The analytical tool used is Eviews 12 with the help of Eviews 12 data processing. The results of the structural model evaluation show that exports have a negative and insignificant effect on economic growth, imports have a negative and insignificant effect on economic growth and foreign debt has a positive and significant effect on economic growth.        

This research aims to analyze the influence of the labor force, inflation, unemployment and poverty on economic growth in Indonesia for the period (2014-2022). The variables used are Inflation as the dependent variable, Money Supply (JUB) and Interest Rates as the independent variables. The data used in this research is secondary data obtained from publications by the Indonesian Central Bureau of Statistics. The analytical method used is a multiple linear regression model or Ordinary Least Square (OLS). In processing the data, the author used the help of Eviews 10 software. Based on the estimation results, it was found that there is a relationship between Labor Force, Inflation, Unemployment and Poverty on economic growth in Indonesia and the variables Labor Force, Inflation, Unemployment and Poverty have a positive and significant effect on Economic Growth in Indonesia .      

SDM becomes one of the important factors in determining the success of a company with the presence of work motivation, then the performance of employees will improve and the objectives of the company will be realized. The research was done at the Phathok 25 bakpia factory. Using a type of quantitative research method of saturated sampling with a questionnaire. The sample was given to the employees of the Bakpia Factory at the 25th grade with (X) motivation and (Y) performance. This study was analyzed using the IBM SPSS Statistics program 26. Results from the data processing of the study found that giving work motivation influenced the performance of employees who stated that the Validity Test and the Reliability Test had a fairly large cronbach alpha coefficient above 0.60. Whereas the correlation test 0.012 < of 0.05 then concluded there was a significant.    

Waste is one of the biggest environmental problems in Indonesia. Based on data from the 2014 Central Statistics Agency (in Angga & Djunaidi, 2017) it shows that Indonesia produces around 187.2 million tons of waste / year and is in second place as the largest waste producer in the world. Waste not only comes from households but also from the school environment. If this waste is left unchecked, it can cause disease. This large amount of waste is also caused by people's lack of concern for the environment. Therefore, it requires an appropriate management strategy, one of which is through recycling. The waste recycling training aims to increase knowledge of dealing with plastic waste and develop the creativity of Purwakarta State Primary School teachers so that they are able to process waste into learning media as well as capital for students to understand learning more easily through waste recycling training. Implementation methods include environmental observation, problem identification, determining service activities, coordinating service activities with prospective participants, implementing training. The waste recycling training activity has been successful and running smoothly, able to develop creativity and increase teachers' knowledge regarding waste managent.

Poverty is a serious problem in Indonesia, including in North Sumatra. Various factors include the human development index (HDI) and unemployment rate. This research aims to analyze the influence of the Human Development Index (HDI) and unemployment on the poverty rate in North Sumatra using the method multiple linear regression to analyze secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The variables used in this research are the HDI and unemployment, while the dependent variable is the poverty level. The results of the research show that the HDI and the unemployment rate have a significant influence on the poverty level. These findings show that to reduce poverty in North Sumatra, efforts are needed to increase the HDI through improving the quality of education, health and living standards of the community by increasing the HDI which provides efforts to prevent poverty from occurring.

Crime cases are a common problem for many countries around the world. It doesn't matter whether the country is a developed country, a developing country or a poor country. In Indonesia itself, there are still many cases of crime, many of which are caused by economic problems such as income inequality, poverty, high levels of unemployment, and low levels of education which can influence crime itself. By knowing whether these economic problem variables influence crime or not, the crime problem in Indonesia can be addressed better. This type of research is included in quantitative research. In this research, we will examine economic inequality, poverty levels, education levels and unemployment rates on crime in Indonesia in 2013-2023. The data used in this research is secondary data, namely data obtained from a second source during the period 2013 to 2023. The type of data used in this research is time series data. The data in this research were obtained from publications from the Indonesian Central Statistics Agency. The data collection method uses the documentation method, namely the method of collecting data on economic inequality, poverty levels, education levels, unemployment and crime rates which is carried out by taking data from various documentation or publications from the Central Statistics Agency (BPS). The research results obtained were that economic inequality had an insignificant positive effect on the crime rate, while the level of education, poverty level and open unemployment rate had an insignificant negative effect on the crime rate.

he construction sector is a dynamic industry that produces projects in terms of infrastructure and buildings. This sector faces challenges, particularly in worker safety and health (K3) in every project. Statistics show that the increase in fatalities and permanent disability cases due to accidents at construction sites in Indonesia is among the highest compared to other industrial sectors. This study examines the key factors and challenges in meeting occupational safety and health (K3) standards to achieve quality infrastructure. The method used in this study is a literature review conducted through databases such as PubMed, Science Direct, and Google Scholar. After selection, 42 articles were used as sources for analysis in this study. The results indicate that technical aspects, both Internal Risks and Project Risks, are the most influential causes of health and safety risks in a building construction project. Meanwhile, External Non-Technical Risks are the least influential causes of health and safety risks in a building construction project. Risk control can be carried out through good working methods, the use of tools according to warning signs, the appropriate use of personal protective equipment (PPE), and clear explanations of accident risks and risk control methods by the contractor.

Poverty is a complex and multifaceted issue faced by various countries, including Indonesia. East Java, as one of the provinces with the largest population in Indonesia, still has a relatively high poverty rate. Minimum wage, open unemployment rate, and education are three important factors believed to influence the poverty rate. Minimum wage is expected to increase the purchasing power of poor people, while high open unemployment rate and low education levels can exacerbate poverty. This study aims to analyze the influence of Minimum Wage, Open Unemployment Rate, and Education on the Number of Poor People in East Java Province. The independent variables are Minimum Wage, Open Unemployment Rate, and Education, and the dependent variable is the Number of Poor People. This research uses secondary data in the form of time series for 10 years, from 2014 to 2023. The data was obtained from Statistics Indonesia (BPS). The research method is quantitative with data analysis using classical assumption tests (Normality Test, Multicollinearity Test, Heteroscedasticity Test, Autocorrelation Test), multiple linear regression, and statistical tests (Coefficient of Determination Test (R2), T-Test, and F-Test) using Eviews - 10. The partial regression coefficient results show that minimum wage and education do not have a significant effect on the number of poor people in East Java, while the open unemployment rate has a significant effect on the number of poor people in East Java.

This research aims to analyze the influence of the open unemployment rate and inflation on economic growth in Lampung Province in the 2012-2021 period. The data used is secondary data obtained from the Lampung Provincial Government Financial Statistics and the Central Statistics Agency. The analytical methods used include normality tests, multicollinearity tests, heteroscedasticity tests, and autocorrelation tests. The results of the analysis show that the open unemployment rate and inflation have a negative influence on economic growth in Lampung Province. The implication of this research is the need to increase investment, improve workforce qualifications, stable inflation policies, and economic diversification to increase economic growth in Lampung Province. 

This research aims to analyze the influence of exchange rates and inflation on Indonesia's economic growth in the 2014-2023 period. Economic growth data is measured using the Economic Growth Percentage (GDP), while the exchange rate is measured by the Value of USD 1 in Rupiah, and inflation is measured by the Inflation Percentage (General). In this research, the author uses statistical analysis methods to examine the relationship between exchange rates, inflation and economic growth. The data used comes from trusted sources, such as the Central Statistics Agency (BPS) and Bank Indonesia (BI). The research results show that there is a relationship between the exchange rate and Indonesia's economic growth. A high exchange rate tends to have a negative impact on economic growth, because it can cause a decrease in net exports and a decrease in production levels. Apart from that, inflation also has an influence on economic growth. A high level of inflation can cause economic instability and have a negative impact on people's real income. Apart from that, this research also shows that both the exchange rate and inflation have a significant influence on Indonesia's economic growth. This second factor needs to be considered in efforts to advance the economy and achieve optimal economic stability. This research provides a better understanding of the factors that influence Indonesia's economic growth. It is hoped that the results of this research can be a reference for the government and economic actors in taking appropriate policies to accelerate economic growth and maintain economic stability.