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Research. Elementary School Teacher Education Study Program, STKIP PGRI Papua. The purpose of this study is to examine the Influence of Using Kahoot as an Interactive Learning Media to Increase the Learning Interest of Sixth-Grade Students in Civic Education at SD YPK Bethania Mariadei. This type of research is Experimental research. The population in this study consists of students at SD Bethania Mariadei, while the research sample is 21 students in the sixth grade. Data collection was conducted through questionnaires and documentation. The collected data was analyzed using descriptive statistics and inferential statistics techniques. Based on the hypothesis testing results, the calculated t-value is 2.926 with a significance of 0.009. The significance value shows 0.009 < 0.05, so H0 is rejected and H1 is accepted, which leads to the conclusion that there is a significant and positive effect of using Kahoot media as an interactive learning tool to increase the learning interest of sixth-grade students in Civics subjects at SD YPK Bethania Mariadei. The Kahoot Interactive Learning Media can be applied for Civics learning in elementary schools. Keywords: Kahoot, Learning Media, Learning Interest, Civics.  

The maternal mortality rate in Indonesia remains high, reaching 305 per 100,000 live births in 2021, with one contributing factor being the lack of maternal knowledge regarding pregnancy danger signs. Prenatal classes are considered a strategic intervention to improve pregnant women’s understanding of critical warning signs such as bleeding, severe abdominal pain, and infection symptoms. This study aims to analyze the influence of pregnancy classes on pregnant women’s knowledge of danger signs. The research employed a quantitative design with a cross-sectional approach involving 30 pregnant women selected through purposive sampling at several community health centers. Data were collected using validated and reliable questionnaires, with measurements conducted before (pre-test) and after (post-test) participants attended at least three prenatal classes. Data analysis used descriptive statistics and the Wilcoxon Signed Rank Test with SPSS. The results showed that most respondents were aged 20–35 years (63.3%), had a high school education (36.7%), were housewives (60.0%), and multigravida (56.7%). Before the intervention, 50% had poor knowledge and only 20% had good knowledge. After attending prenatal classes, 63.3% achieved good knowledge, while only 10% remained in the poor category. The Wilcoxon test showed a significant difference (p = 0.000). Thus, prenatal classes effectively improve knowledge and support early detection of complications, potentially reducing maternal and infant mortality rates.

This study examines the comparative volatility of gold and Bitcoin over the period January 2020 to August 2025, using monthly data and employing descriptive statistics, the Augmented Dickey-Fuller (ADF) test, GARCH (1,1), and the Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model estimated with EViews 13. The results show that Bitcoin is characterized by extreme and persistent volatility, reflecting its speculative nature, whereas gold remains stable and functions as a conventional safe-haven asset. Correlation analysis indicates that the relationship between gold and Bitcoin is generally weak but dynamic, as the strength and direction of their co-movements change across different market conditions. These findings highlight the potential role of gold as a hedge and Bitcoin as a speculative diversifier, offering insights for portfolio diversification and risk management. These results also suggest that investors should carefully consider their risk tolerance and investment horizon when allocating assets between traditional and digital commodities.

This study aims to examine the influence of investment, labor, and unemployment rates on economic growth in Aceh Province. Economic growth is one of the main indicators in assessing the success of a region's development, so it is important to understand the factors that can influence it. The data used in this study are secondary data in the form of annual data for the period 2009–2023 obtained from the Central Statistics Agency (BPS) of Aceh Province and several related institutions. Data analysis was conducted using the multiple linear regression method with a time series approach. The results of the analysis show that the investment variable has a positive and significant influence on economic growth in Aceh Province, indicating that increased investment can encourage increased regional economic output. The labor variable also has a positive influence on economic growth, although its significance is lower compared to investment. Meanwhile, the unemployment variable has a negative and significant influence on economic growth, which means that increasing unemployment rates can suppress the rate of economic growth in Aceh Province.

The production sector at both the district and city levels is crucial for fostering structural change and boosting economic growth in specific areas. Still, many regions struggle with issues such as linking supply chains, readiness for technology, quality of labor, and efficient policies. This research intends to examine the strategies of the manufacturing sector at the district and city levels to enhance regional competitiveness and promote sustainable economic growth. The study utilizes a descriptive qualitative method based on a review of literature from academic journals, policy papers, and official statistics related to manufacturing progress. Results reveal that several important factors strongly affect regional manufacturing growth. These include the connection of local supply chains, industry strategies focused on the market, the implementation of digital and smart manufacturing methods, innovation encouraged by educational institutions and organizations, and the influence of local governments in developing an effective industrial policy atmosphere. Furthermore, creating designated industrial areas and managing operations efficiently significantly helps attract investments and boost the manufacturing output of regions. The research concludes that a cohesive and tailored manufacturing strategy for each region is vital for improving local productivity, generating jobs, and enhancing economic stability at both district and city scales.

This study aims to analyze the effect of the use of kahoot game media on the cognitive learning outcomes of moral beliefs in grade VII C MTS negeri 1 Tuban students. The background of this research is the low enthusiasm and learning outcomes of students in learning moral beliefs which are still dominated by conventional methods while the characteristics of agency students demand a more interactive and adaptive learning approach to technology. This study uses a quantitative approach with a quasi-experimental design of one group pretest design involving 34 students as a sample. This research instrument is in the form of a multiple-choice cognitive learning outcome test of 20 questions covering 4 levels of bloom taxonomy, namely remembering, understanding, applying, and analyzing. The data was analyzed using descriptive statistics and normalistic calculations, the results of the study showed a significant increase in students' cognitive learning outcomes where the average class score increased from 66.03 in the pre-test to 80.29 in the post-test with an engine value of 0.42 which was in the medium category. These findings identify that kahood media has a positive impact on improving students' cognitive learning outcomes.

Poverty is still a major problem in regional economic development in Jambi Province, although economic growth has been relatively stable in recent years. This condition shows that economic growth has not been fully followed by an equitable distribution of development results. This study aims to analyze the influence of economic growth and income inequality on the poverty rate in Jambi Province. The research uses a quantitative approach with district/city panel data for the 2015–2024 period sourced from the Central Statistics Agency. The analysis was carried out using the panel data regression method to test the relationship between economic growth variables, income inequality, and poverty levels. The results of the study show that economic growth measured through the growth rate of Gross Regional Domestic Product (GDP) has a negative effect on the poverty rate, meaning that increasing economic growth can reduce the number of poor people. On the other hand, income inequality measured by the Gini Ratio has a positive effect on poverty levels, which means that the higher the income inequality, the greater the poverty rate. These findings indicate that poverty reduction strategies not only require sustainable economic growth, but must also be accompanied by income equity policies so that the benefits of development can be felt more inclusively by all levels of society.

Tebing Tinggi City, which has a strategic position in North Sumatra, is experiencing changes in population growth that need to be predicted for development planning purposes. The purpose of this study is to forecast the population of Tebing Tinggi City in 2030 by applying the Double Integral method, and visualize the results in 3D using GeoGebra. The method used is a quantitative approach with a case study, where the population density function is created based on secondary data from the Central Statistics Agency (BPS) of Tebing Tinggi City for the period 2010 to 2024. Data on area and population per sub-district are used to develop a population growth model calculated using the double integral. The forecast results show that the population of Tebing Tinggi City is estimated to reach 26,038 people in 2030, with varying growth rates in each sub-district. 3D visualization through GeoGebra is able to depict the distribution of population density in an interactive geometric form, thus facilitating the understanding of complex mathematical concepts. The conclusion of this study is that double integrals can be applied effectively to predict population size, and GeoGebra serves as a very useful visual aid in presenting the results of multivariable calculus analysis.

This study aims to analyze the effect of the unemployment rate on economic growth in Riau Islands Province in 2024 using a descriptive–quantitative approach based on official data published by Statistics Indonesia (BPS). The analysis was conducted through year-on-year and quarter-to-quarter measurements of Gross Regional Domestic Product (GRDP), as well as the dynamics of the Open Unemployment Rate (OUR) throughout the year. The findings show that the average economic growth of the province in 2024 reached 5.02 percent, while the unemployment rate decreased from 6.94 percent in February to 6.39 percent in August. Pearson correlation analysis resulted in r = –0.98 (p < 0.05), indicating a very strong negative relationship between unemployment and GRDP growth. Meanwhile, the simple linear regression model produced the equation Ŷ = 5.45 – 0.22X with an R² of 0.96, implying that 96 percent of the variation in economic growth can be explained by changes in the unemployment rate. These findings are consistent with Okun’s Law, suggesting that increased industrial and trade activities in the province contribute to reducing unemployment. The study concludes that strengthening sectoral job creation, improving labor productivity, and enhancing labor market monitoring are crucial to support inclusive and sustainable economic growth in the Riau Islands Province.

The purpose of this study is to investigate the factors that lead to poverty in different Indonesian regions between 2018 up to 2024. The Gross Regional Domestic Product per capita, the Human Development Index, and the Open Unemployment Rate are the independent factors used in this study, whereas poverty levels are the dependent variable. The Central Statistics Agency provided secondary data that was used in a quantitative manner. Using EViews 12 software, panel regression techniques were used to process the data. The study's conclusions show that, at a significance level of less than 0.05, economic and human development factors simultaneously significantly affect poverty rates across Indonesian regions. The coefficient of determination indicates that the variables in the model can account for the majority of the variations in poverty levels. These findings demonstrate how important a region's economic status and level of human development are to efforts to reduce poverty. It is anticipated that this research will help the government develop more effective and long-lasting methods for reducing poverty.

This research aims to examine how prices and reviews influence consumers 'purchasing decisions on the Shopee platform in Jambi City. The rapid development of e-commerce has encouraged consumers to be more careful and discerning when selecting products, making price and product reviews important considerations in buying decisions. This study employed a quantitative approach via a survey method for data collection. The questionnaires were distributed online and successfully gathered responses from active Shopee users in Jambi City. Purposive sampling was employed to make sure that respondents met research criteria. The information gathered underwent analysis using IBM SPSS Statistics 27, which involved conducting assessments of validity, reliability, and classical assumptions, and multiple regression tests to see the impact of each variable on buying decisions. The study revealed that product price and reviews hold an important and relevant impact on consumer buying decisions. This research indicates that the more competitive the price and the better the quality, the bigger the possibility of customers buying products on Shopee.

Parental involvement is widely acknowledged as a key factor in student academic success, particularly in second language acquisition. However, its impact at the university level, especially among pre-service English teachers, remains underexplored. This study investigates the relationship between parental involvement and English language achievement among first-year English Education students at Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin (UNISKA). Employing a quantitative survey design, data were collected from 36 purposively selected participants using a structured Likert-scale questionnaire. The instrument measured both the forms and frequency of parental involvement and students’ self-reported performance in English-related subjects. Data were analyzed using descriptive statistics and Pearson Product-Moment Correlation via SPSS 26. Findings indicate that students generally perceive moderate to high levels of parental involvement, especially in providing academic resources, financial support, and attending university-related events. However, involvement in educational decision-making and career discussions was notably low. A significant positive correlation was found between parental involvement and students' academic performance, particularly in aspects such as discipline, assignment completion, and encouragement. Emotional impacts such as increased motivation or reduced anxiety showed more mixed responses. These findings highlight the enduring influence of parental support in higher education and suggest further exploration of its emotional dimensions.

The objective of this study is to directly analyze and illustrate the compositioneof the auditecommittee, which consists of financial knowledge, independence and the quantity of members on the committee, concerning the financial statement quality of energy sector industries listed on the IDX in 2023-2024.High-quality financial statements are a crucial component reflecting the outcome of the accounting process and are vital for stakeholders in decision-making. Despite regulatory requirements for audit committees, corporate financial statements in Indonesia often contain earnings management or accounting irregularities, indicating that the audit committee's very existence is insufficient to guarantee financial statements' quality. A numerical approach with a causal-comparative approach is utilized in this investigation. The secondary quantitative data are obtained from companies’ yearly financial statements, annual reports, and corporate governance disclosures published on the official IDX website. The data are examined using EViews software for panel data regression, going through many steps, including descriptive statistics, classical assumption testing, panel data model selection, and regression analysis for hypothesis testing. The audit committee's size, objectivity, and financial acumen make up the study's independent variables. Meanwhile, financial statement quality as the dependent variable is measured through earnings quality proxy using the discretionary accruals calculation approach (Jones model or Modified Jones model). Specifically, this research seeks to deliver theoretical and practical benefits for regulators in formulating corporate governance policies, give companies a comprehension of the importance of an effective audit committee, and help investors make informed investment choices.

This study aims to analyze the influence of macroeconomic variables in the form of the dollar exchange rate, inflation, and Gross Domestic Product (GDP) on the Composite Stock Price Index (JCI) in Indonesia for the period 2010–2024. The research method used is a quantitative approach with multiple linear regression analysis using time series data obtained from Bank Indonesia, the Central Statistics Agency (BPS), and the Indonesia Stock Exchange (IDX). The data analysis technique was carried out through classical assumption tests and hypothesis testing to determine the relationship between variables. The results of the study show that partially GDP has a significant effect on the JCI, while inflation and the dollar exchange rate tend not to have a significant effect. However, simultaneously these three variables have a significant influence on the JCI. These findings show that macroeconomic stability is very important in maintaining the performance of the capital market in Indonesia and can be a reference for investors in making investment decisions. In addition, the results of the study confirm that national economic growth is the main indicator that market participants pay attention to in assessing investment prospects. Therefore, the government needs to maintain economic stability through effective and sustainable fiscal and monetary policies.

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  

This study aims to analyze corn consumption substitution as an alternative carbohydrate source and to measure the demand elasticity of corn in response to fluctuations in corn and rice prices at Ciawitali Market, Garut Regency. Primary data were collected through observations and interviews, along with secondary data from West Java Central Statistics Agency processed using simple linear regression and cross-elasticity analysis with SPSS. Results show that changes in corn prices explain 99.7% of variation in corn demand with a positive coefficient of 0.827, indicating a substitution effect with rice, which experienced a concurrent price increase. The cross-elasticity value of 1.64 confirms the elastic substitution relationship between corn and rice. These findings highlight the potential of corn as a substitute for rice in maintaining stable food consumption despite fluctuations in staple commodity prices.       

Global environmental challenges require active engagement from all sectors, including education. For Muslim youth, awareness of environmental sustainability aligns with Islamic ethical principles such as stewardship (khalifah), justice (ʿadl), and social welfare (maslahah). This study examines the influence of green economy education within Islamic higher education on students’ eco-literacy, ethical awareness, and sustainable economic behavior. A quantitative approach was employed using a structured questionnaire distributed to students from both Islamic economics and non-economics programs. Data were analyzed with descriptive statistics, independent t-tests, and one-way ANOVA to identify differences in environmental knowledge, attitudes, and behavior. Findings show that students with an Islamic economics background consistently achieve higher scores in knowledge, attitudes, and behavioral engagement related to sustainability compared to non-Islamic economics students. Integrating Islamic ethical values into the curriculum provides a holistic framework for internalizing sustainability principles, encouraging students to translate ethical knowledge into practical action. Pedagogical strategies such as project-based learning, reflective exercises, and experiential programs further enhance engagement and eco-conscious behavior. The study highlights the critical role of Islamic education in fostering a generation of ethically aware and environmentally responsible students. By embedding moral and ecological principles in academic programs, educational institutions can strengthen students’ capacity for sustainable decision-making and support broader goals of responsible economic and environmental stewardship.

Vocational education requires a practice-based learning process supported by complete facilities so that students can master work competencies optimally. However, the condition of the Motorcycle Engineering workshop at Noemuti State Vocational High School shows that the completeness of the disc brake system practice facilities does not meet the ideal ratio standards, which affects the effectiveness of learning. This incompleteness has an impact on the low achievement of students' practical learning outcomes that have not reached the KKM. This study aims to describe the level of completeness of workshop facilities and the results of the disc brake system practice learning, and to determine whether there is a relationship between the two. The research approach uses a quantitative correlational method with a total sampling of 26 students. Data were obtained through observation, questionnaires, and documentation, then analyzed using descriptive statistics, normality tests, linearity tests, Pearson correlations, and coefficients of determination using SPSS 27. The results showed that the average completeness of workshop facilities was 42.27 and the results of practical learning were 42.81, both of which were in the good category. The Pearson correlation test produced a value of r = 0.960 with a significance of 0.000 (<0.05), indicating a very strong and significant relationship. The coefficient of determination (R² = 0.92) shows that 92% of the variation in practical learning outcomes is influenced by the completeness of workshop facilities. The more complete the workshop facilities, the higher the students' practical learning outcomes.

The objectives of this study are 1) to determine the influence of church ministry on the character formation of Sunday School children at HKBP Partahanan Medan; 2) to determine the influence of parental attention on the character formation of Sunday School children at HKBP Partahanan Medan; and 3) to determine the combined influence of church ministry and parental attention on the character formation of Sunday School children at HKBP Partahanan Medan. This study employed a quantitative method with inferential statistics. The sample consisted of 31 Sunday School congregants. Data were collected through questionnaires and analyzed using regression and correlation tests. The results indicate that: 1) Church ministry has a positive and significant influence on the character formation of Sunday School children, with an F-value of 60.290 and a significance level of 0.000; 2) Parental attention has a positive and significant influence on the character formation of Sunday School children; and 3) Church ministry and parental attention jointly exert a positive and significant influence, contributing 71.6% to the variation in children’s character formation.Thus, it can be concluded that effective church ministry and consistent parental attention are the primary factors influencing the character formation of Sunday School children at HKBP Partahanan Medan.

The development of the automotive industry, especially automatic motorcycles in Indonesia, is increasingly rapid and triggers fierce competition between manufacturers, including Piaggio with the Vespa Matic LX product which has a unique design, elegant image, and different characteristics from other automatic motorcycles. This study aims to analyze the influence of price perception, promotion, product quality, lifestyle, and brand image on the interest in buying Vespa Matic LX in people in Tegal City. The research approach uses quantitative methods with survey techniques. The study population is the people of Tegal City who use or own a Vespa Matic LX, and because the population is unknown, the sample determination uses the Lemeshow formula so that 100 respondents were obtained. Data analysis included instrument tests, classical assumption tests, and multiple linear regressions with the help of IBM SPSS Statistics 22. The results showed that all variables—price perception, promotion, product quality, lifestyle, and brand image—had a positive and significant effect on purchase interest. These findings confirm that the management of the right marketing strategy in terms of price, promotion, quality, lifestyle, and brand image can increase consumer interest in the Vespa Matic LX. This research provides important implications for companies in formulating marketing strategies that are more effective and oriented to consumer needs.