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According to the Indonesian Statistics Agency (BPS), economic growth in 2023 is estimated to remain strong in the range of 5.05% (yoy), this economic growth is better compared to the last two years considering that the government continues to optimize the recovery period from Covid-19. According to Sadono Sukirno (in Puspitasari et al., 2024) one of the policies to accelerate the development process is to increase government savings, the savings rate Economic growth can be interpreted as a process of increasing the value of output per capita in the long term. The purpose of this study is to determine the effect of Tax Revenue, Foreign Investment (PMA), Domestic Investment (PMDN) on economic growth in Indonesia. This study uses a quantitative approach using time series data sourced from the Central Statistics Agency of Indonesia (BPS) for 2014-2023. The data analysis technique uses multiple regression analysis using the E-views 10 program. The results of the study determine that tax revenue has a significant effect on economic growth in Indonesia, foreign capital revenue (PMA) has a negative and insignificant effect on economic growth, while domestic capital revenue (PMDN) has a positive and significant effect on economic growth.

This article discusses the issue of poverty in Kalimantan Island, Indonesia, with a focus on the analysis of poverty data from 2019 to 2024. Despite Kalimantan's wealth of natural resources, economic disparities and uneven distribution remain significant challenges. This research uses data from the Central Statistics Agency (Badan Pusat Statistik) to demonstrate the impact of the COVID-19 pandemic, which caused an increase in the number of people living in poverty due to income reductions and job losses. By utilizing Microsoft Excel, data visualization is employed to present information clearly and concisely, making it easier to understand the poverty situation in the region. The findings of this research recommend that poverty alleviation policies be more focused and data-driven, and encourage further research to understand the factors influencing poverty. It is hoped that this article will provide valuable insights for the development of policies and poverty alleviation efforts in Indonesia, particularly in Kalimantan Island.

The Human Development Index is an indicator of the progress of a region. Achieving development cannot be separated from the quality of people in a region. To see the extent of success in human development, the United Development Program (UNDP) has issued an indicator, namely the Human Development Index (HDI). HDI is a benchmark for achieving higher quality human development. There are three basic dimensions as a reference for measuring the Human Development Index, namely including a long and healthy life, knowledge, and a decent standard of living. This research aims to see the influence of Poverty, Gini Index, and Economic Growth on the Human Development Index in South Aceh Regency 2009 - 2023. The data used in this research is secondary data in the form of a time series taken from the last 15 years sourced from the Agency. South Aceh Regency Statistics Center (BPS) using a quantitative approach. The method used is multiple linear regression analysis. Based on the research results, it can be concluded that poverty has a positive and significant influence on HDI. The Gini Index has a negative and insignificant influence on HDI. Economic Growth has a positive and insignificant influence on HDI in South Aceh Regency 2009-2023.  

The purpose of this study is to find out whether there is an influence of blended learning on metacognitive awareness, self-efficacy, student learning independence, and student learning achievement and to find out whether blended learning is superior to scientific learning in mathematics learning in the aspects of metacognitive awareness, self efficacy, student learning independence, and student learning achievement. This research is a pseudo-experimental research with the population of all students in grade XI MAN 2 Wonosobo for the 2023/2024 school year. Of the ten existing classes, two classes were selected by purposive sampling, namely classes XI - 3 and XI - 4. From the two selected classes, then randomly selected so that class XI - 4 was obtained as an experimental class, namely the class that received blended learning and class XI - 3 as a control class that received mathematics learning with scientific learning and vector subjects. The instruments used to collect data are in the form of student learning achievement test questions and questionnaires on metacognitive awareness, self-efficacy, and student learning independence. Validity is determined by the consideration of the validator who concludes that the instrument used in this study is valid. Meanwhile, Cronbach's alpha of all variables in this study showed reliable values. To see if there is an effect of blended learning on metacognitive awareness, self-efficacy, learning independence and student learning achievement after research treatment is carried out in both the experimental and control classes, the T2 hotteling statistical test is used. Meanwhile, to see the advantages of scientific learning with blended learning methods compared to scientific from the perspective of metacognitive awareness, self-efficacy, learning independence and student learning achievement from both classes, univariate t test statistics were used. The results of the study showed that :(1) there was an effect of blended learning on metacognitive awareness, self-efficacy, learning independence, and student achievement simultaneously; (2) scientific blended learning is not superior to scientific in terms of metacognitive awareness, self-efficacy, and learning independence of high school/MA students; (3) scientific blended learning is superior to scientific in terms of learning achievement of high school/MA students.

This research was motivated by the uneven use of technology in coffee plantations, resulting in unstable harvests and poor quality. This is also caused by a lack of knowledge in processing coffee in Sangir District, South Solok Regency, so that the income obtained by farmers is less than optimal. So the researcher wants to analyze the impact of the use of technology and increased knowledge on the income of coffee farmers in Sangir District, South Solok Regency. The method in the study is Qualitative Research. Collecting data through interviews and in-depth observations with local coffee farmers. The study also uses secondary data from various sources such as data from the Central Statistics Agency (BPS), data analysis is carried out by means of data reduction, data presentation and drawing conclusions. The results of this study indicate that the use of modern technology and increased knowledge have a very significant impact on the income of coffee farmers in Sangir District, South Solok Regency. The combination of the use of technology and increased knowledge is one solution to improve the welfare of coffee farmers, with the right support coffee farmers can increase their productivity, get better prices and ultimately improve their standard of living.

Riau Province is one of the largest contributors to GRDP in Indonesia with several leading sectors. This study aims to determine the leading sectors or base and non-base sectors in Riau Province. The data used in this study are secondary data obtained from the Riau Province Central Bureau of Statistics (BPS). The data was processed and analysed using the Location Quotient (LQ) analysis method. The results of Location Quotient (LQ) analysis show that there are 3 basic sectors or leading sectors in Riau Province for the 2018-2022 period. It is known that there are 3 basic sectors or leading sectors in Riau Province, the 3 sectors are the Agriculture, Forestry and Fisheries sector, the Mining and Quarrying sector, and the Manufacturing Industry sector with LQ analysis values of 2.15, 2.23, and 1.52, respectively. While the other 14 sectors are non-base sectors. For this reason, the government must better understand what sectors need to be improved and the need for cooperation from many parties so that these leading sectors can be maintained and further developed in the following year.

Bioinformatics is an interdisciplinary field that combines biology, computer science and statistics to analyze biological data and translate it into effective therapies. With technological advances, such as next-generation genetic sequencing, bioinformatics enables the development of personalized therapies based on an individual's genetic profile. This approach provides more effective treatment and reduces the risk of side effects. In addition, the integration of artificial intelligence (AI) accelerates big data analysis, predicts therapy response and identifies disease biomarkers. Despite challenges such as the need for big data infrastructure and ethical privacy issues, the outlook for bioinformatics is bright. Through global collaboration and a multi-omics approach, bioinformatics is expected to become a key foundation in future medical therapy innovation.

The money supply can affect other economic variables, such as output and prices, create stability in the economy and help achieve the ultimate goal of monetary policy, namely the stability of inflation and exchange rates.  The level of the exchange rate by the monetary authority must be kept stable because an unstable exchange rate, especially one that experiences a sharp depreciation, can have financial crisis implications. This research approach was associative/quantitative research. The data used in this study are secondary data taken and processed from Bank Indonesia (BI) and the Central Statistics Agency (CSA) from 2013-2023 (11 years). Based on the results of regression analysis shows that the variable money supply, exchange rates, and interest rates simultaneously affect the inflation variable. Based on the results of regression analysis shows that the variable money supply has a positive and significant effect on inflation. Based on the results of regression analysis, the exchange rate variable has a negative and significant effect on inflation. Based on the regression analysis, the interest rate variable has no statistical effect on inflation.

This study analyzes the influence of transformational leadership style in building a culture of innovation and increasing the involvement of Gen Z employees at PT. Alfamart. The study is based on the fact that Gen Z, born between 1997 and 2012, has unique characteristics that require a different leadership style than previous generations. Transformational leadership is considered to be able to meet the demands of Gen Z who want an innovative and flexible work environment. This study uses a quantitative method with survey data from 50 respondents of PT. Alfamart Se-Cikarang. Data analysis uses descriptive statistics (SmartPLS) to see the relationship and influence between transformational leadership variables, innovation culture, and employee engagement. The results of the study show that transformational leadership has a positive and significant influence on the culture of innovation and employee engagement. The culture of innovation has also been proven to mediate the relationship bet employee.

Masita Wahyuni Asih 2024, The Effect of Non Performing Loan (NPL), Return on Asset (ROA), and Capital Adequacy Ratio (CAR) on Price to book value (PBV) at BUMN Banks listed on the Indonesia Stock Exchange for the 2018-2023 Period. Makassar STIM-LPI Management Science Study Program (supervised by Fausiah, S.E., M.Si. and Andi Herman Tellu, S.E., M.M.). The purpose of this study was to determine the effect of Non Performing Loan (NPL), Return on Asset (ROA), and Capital Adequacy Ratio (CAR) on Price to Book Value (PBV) at BUMN banks listed on the Indonesia Stock Exchange both partially and simultaneously. Price to Book Value (PBV) is the dependent variable (Y), and three independent variables (X) are used, namely Non Performing Loan (NPL), Return on Asset (ROA), and Capital Adequacy Ratio (CAR). Saturated sampling was used to obtain secondary data from a population of 4 banking companies listed on the Indonesia Stock Exchange. Descriptive statistics and classical assumptions, such as multicollinearity assumption and heteroscedasticity assumption, have been tested in relation to the research findings. The data analysis approach uses panel data regression, hypothesis testing, and the Fixed Effect Model (FEM) test. The partially tested study results show that while non-performing loans (NPLs) do not affect price to book value (PBV) significantly, there are return on assets (ROA) and capital adequacy ratio (CAR) that do. The findings of this study also simultaneously show that PBV is significantly affected by NPL, ROA, and CAR.

  Abstract. This research aims to analyze the influence of social assistance spending and subsidy spending on poverty in North Sumatra Province. The independent variables in this research include social assistance spending and subsidy spending, while the dependent variable is poverty. The data used comes from the North Sumatra Central Statistics Agency for the 2009-2023 period, which includes data on social assistance spending, subsidy spending and the depth of poverty. The data analysis method used is multiple linear regression. The results of this research show that social assistance spending has a positive but not significant influence on poverty, while subsidy spending has a positive and significant influence on poverty. Government spending policies in the form of subsidies and social assistance still require evaluation to increase their effectiveness in reducing poverty.

This study analyzes the impact of international tourist arrivals and their spending on the occupancy rate of star-rated hotels in Indonesia from 2009 to 2023. Using a quantitative approach with multiple linear regression, the study examines the relationship between two independent variables nternational tourist arrivals and average tourist spending and the dependent variable, which is the occupancy rate of star-rated hotels. Data for this research were sourced from the Central Statistics Agency (BPS), the Ministry of Tourism, and Bank Indonesia. The analysis results show that the number of international tourist arrivals does not significantly affect the occupancy rate of star-rated hotels. However, average tourist spending has a significant negative effect, indicating that tourists with higher spending tend to choose higher-star hotels. The simultaneous F test reveals that both variables jointly have a significant effect on hotel occupancy rates. The coefficient of determination (R²) of 45.52% indicates that both independent variables can explain the variation in the occupancy rate of star-rated hotels. Based on these findings, it is recommended that the government and tourism industry stakeholders focus on promoting destinations that attract high-spending tourists and improving the quality of star-rated hotel accommodations to meet the preferences of international tourists.

Corruption has been a well-known problem in Indonesia for a long time. News of corruption cases often becomes a hot topic, especially in this digital age where information spreads rapidly. Unfortunately, statistics show that public reaction to corruption cases in 2024 was more permissive than in the previous year. This is undoubtedly a hindrance in realizing the vision of Indonesia Gold 2045. Therefore, as one of the efforts, a socialization on law enforcement and anti-corruption was conducted at SMA Negeri 34 Jakarta on October 15, 2024, aiming to create a young generation that is law-abiding and anti-corruption. In this activity, students were invited to understand corruption in depth, including the legal basis, the impact of corruption, and how to prevent the seeds of corruption from an early age. Using an interactive and engaging approach, as well as examples of familiar corruption cases, students not only learned about the law, but also developed an awareness of the importance of maintaining integrity in their daily lives.

This research aims to analyze the influence of regional taxes and regional levies on economic growth in Aceh Province. The research method used is a quantitative approach using secondary data from the Central Statistics Agency (BPS) and the Directorate General of Taxes (DJP) for the period 2009–2023. Data analysis was carried out using multiple linear regression with the help of statistical software. The research results show that regional taxes. The test results show that regional taxes have a t;statistic value of 1.186951 with a probability significance test of 0.2582 where >0.05 means that regional taxes do not have a significant influence on economic growth.do not have a significant influence. significant to economic growth. On the other hand, regional levies show that regional levies have a t;statistic value of -2.988378 with a probability significance test of 0.0113 where >0.05 means that regional levies have a partially significant negative influence on economic growth. This research provides important implications for policy makers in Aceh Province in increasing the effectiveness of managing regional taxes and regional levies to encourage sustainable economic growth.

The rapid development of digital technology, especially social media, makes access to information easier and faster. The development of increasingly sophisticated technology allows individuals to obtain news from various sources anytime and anywhere, one of which is through social media. Social media has become a staple part of the lives of today's younger generation. The research design used is quantitative research. The design used in this research is inferential statistics. The sampling method in this study used purposive sampling technique. This study successfully revealed a significant relationship between the personality dimensions of Extraversion and Conscientiousness with the tendency of individuals to be exposed to viral news on social media. Individuals who are more Extraversion tend to be less interested in sensational news, while Conscientiousness tend to actively seek information, including viral news.

This research aims to analyze the influence of government spending, economic growth and inflation on poverty levels in North Sumatra Province during the 2014-2023 period. Using a quantitative approach with secondary data from the Central Statistics Agency (BPS), this research applies multiple linear regression analysis to identify the variables that have the most influence on poverty. The results of the analysis show that increased government spending, recovered economic growth, and good inflation management contributed significantly to reducing poverty levels, with government spending increasing from 7,808.56 billion rupiah in 2014 to 14,323.52 billion rupiah in 2023. Model The regression shows that these variables influence poverty by 70.19%, while 29.81% is influenced by other factors. This research emphasizes the importance of monitoring and adjusting economic policies to achieve the goal of poverty alleviation more effectively.

This study examines the intense competition in the contemporary franchise beverage industry in Gorontalo City, where consumers have many choices that affect loyalty to certain brands. This study aims to analyze the effect of brand equity and marketing mix on customer loyalty. This descriptive quantitative research uses accidental sampling with 100 samples. Data analysis includes statistical tests as well as Structural Equation Modeling (SEM) models. This study shows that brand equity and marketing mix have a positive and significant effect on purchasing decisions, both partially and simultaneously, with the t-count and f-count values exceeding the table limit at the 95% confidence level. SEM-PLS analysis confirmed the significant relationship with p-values of 0.05 and t-statistics of 1.96, supporting the tested model. The research conclusion shows that brand equity and marketing mix have a significant influence on purchasing decisions. As advice, business owners of contemporary beverage franchises in Gorontalo City are advised to strengthen brand equity, as well as optimize creative and effective marketing strategies to increase competitiveness.

Indonesia is committed to achieving zero hunger as one of the goals of fulfilling the Sustainable Development Goals (SDGs) where this commitment focuses on addressing the problem of food availability but also ensuring that every individual has access to sufficient, nutritious, and safe food throughout the year for everyone. However, reviewing the current conditions in Indonesia, there is still an imbalance in food availability that will cause food vulnerability. Therefore, a prediction of food vulnerability in the future is needed where discriminant analysis is one of the appropriate statistical methods to analyze qualitative dependent and quantitative independent variables. This study uses secondary data from the official website of the food agency and the central statistics agency. The results of the study show that the characteristics of the data have small variations, asymmetric distribution, and there are outliers in several categories. The assumptions of multivariate normality, the suitability of the dependent variables, and the identity of the variance-covariance matrix have been met. Through discriminant analysis, the variables of the percentage of poverty and the percentage of households with access to clean drinking water are proven to significantly affect the IKP category. The discriminant model produces one significant function that is able to group the IKP category with a model accuracy rate of 86.8% and a classification accuracy of 64.7%.

This research was conducted to determine the extent of the impact of the workforce, electricity consumption, and clean water consumption on economic growth in Indonesia. The data in this study is secondary data obtained from the publications of the Central Bureau of Statistics  Indonesia for the years 2014-2019. This research uses the Ordinary Least Square (OLS). From the results of this Ordinary least Square analysis, it was found that the labor force variable does not affect economic growth. Meanwhile, the variables of electricity consumption and clean water consumption do affect economic growth. From the F-statistic probability result of 0.000000 < the significance level of 0.05, it can be concluded that together, these three variables affect economic growth. The three variables in this study simultaneously influence economic growth by 99.51%.

This research aims to determine the effect of education and minimum wages on poverty in Aceh province. This research uses secondary data, namely those obtained from the Central Statistics Agency of Aceh Province. The method used in this research is a quantitative method using multiple linear analysis. The research results show that partially the education variable has a negative and significant influence on poverty in Aceh province, while the Minimum Wage variable has a positive and insignificant influence on poverty in Aceh Province. Simultaneously, the variables education and minimum wage together have a significant effect on poverty in Aceh Province.