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Background: The global energy transition requires low-carbon solutions that can be integrated into existing thermal systems without drastic infrastructure changes. Hydrogen blending in conventional combustion systems has emerged as a promising pathway to reduce carbon emissions while maintaining operational flexibility. Objective: This study aims to experimentally evaluate the effect of hydrogen blending ratios (0–100% by volume) on thermal efficiency, CO₂ emissions, and NOx emissions, and to determine the optimal blending range based on technical and economic feasibility. Methods: An experimental thermal system prototype was developed and tested under controlled conditions with three repetitions per operating point. Performance parameters included combustion temperature, fuel consumption rate, and thermal efficiency, while emissions of CO₂ and NOx were measured using a calibrated gas analyzer. Data were analyzed using descriptive statistics, one-way ANOVA at a 0.05 significance level, confidence interval estimation, and linear regression to examine the relationship between hydrogen fraction and emission reduction. Results: The findings indicate that increasing hydrogen fraction significantly improves thermal efficiency, reaching 87.5% at 100% hydrogen, while CO₂ emissions decrease linearly to zero. However, NOx emissions increase with higher hydrogen content due to elevated combustion temperatures. Statistical analysis confirms that hydrogen ratio has a significant effect on efficiency and emissions, with a strong linear correlation between hydrogen fraction and CO₂ reduction. A blending range of 40–60% hydrogen provides the most balanced performance in terms of efficiency improvement, emission reduction, and cost feasibility.

This study analyzes the patterns and dynamics of income inequality across districts and municipalities in Aceh Province during the 2022–2024 period using data from the National Socio-Economic Survey (Susenas) published by Statistics Indonesia (BPS). A descriptive-comparative approach was employed with the Gini Ratio as the main indicator to examine spatial variations and inequality trends between urban and rural areas. The results show that Aceh’s Gini Ratio declined from 0.296 in 2022 to 0.294 in 2024, indicating a modest improvement in income distribution. The reduction in inequality mainly occurred in rural areas, while urban regions experienced a slight increase due to the concentration of economic activities among higher-income groups. Banda Aceh and Lhokseumawe recorded the highest inequality levels, whereas Aceh Tengah and Bireuen demonstrated relatively strong income equality. Overall, Aceh remains one of the provinces with low-income inequality in Indonesia but still faces challenges of structural disparities across regions. The findings highlight the need to shift policy orientation from redistributive equality toward productivity-based equality through regional economic integration, empowerment of micro and small enterprises, and the development of inclusive economic sectors to achieve equitable and sustainable growth..

The aim of this research is to explore the impact of financial literacy, financial inclusion, and locus of control on the financial performance of Micro, Small, and Medium Enterprises (MSMEs) active in Central Java. This study follows a quantitative research approach, which involves testing hypotheses and determining the relationships between variables, allowing for generalization of the results from the sample to the broader population. Quantitative research collects data in the form of numbers or statistics, enabling objective statistical analysis. The study employs clear and standard measuring tools to ensure the consistency and reliability of the collected data. The research begins with a specific hypothesis, which is then tested through systematic data collection and analysis. The results of the study indicate that the variables of financial literacy (X1), financial inclusion (X2), and locus of control (X3) all have a positive and significant influence on the financial performance of MSMEs in Central Java. The statistical analysis shows that the calculated T values are greater than the critical values in the t-table, and the significance values are below the threshold of 0.005, confirming the robustness of the findings. The results also suggest that enhancing financial literacy, promoting financial inclusion, and fostering a strong sense of locus of control among MSME owners can significantly improve their financial performance. These findings have important implications for policymakers and business development programs aimed at improving the sustainability and growth of MSMEs. By addressing these factors, MSMEs in Central Java can potentially achieve better financial outcomes and contribute to the overall economic development of the region. Future research could expand the scope to include more diverse regions and industries to validate and build upon these findings.

Econometrics is a discipline in economics that combines economic theory, mathematics, and statistics to quantitatively assess economic phenomena. This paper aims to introduce econometrics as an important tool in economic analysis and explain its applications in various sectors such as macroeconomics, microeconomics, development, and finance. Using a descriptive qualitative research method based on literature review, this paper explains how econometrics is used to test economic conjectures, make predictions, and support data-driven decisions. In addition, this article also discusses the advantages of econometrics, the challenges that arise in its application, and the software used in econometric analysis, including Excel, SPSS, and EViews. The findings show that econometrics is useful not only for academics but also for decision makers and business actors in designing more efficient economic strategies and policies. However, several problems such as data limitations, model assumptions, and specification errors are still challenges that need to be overcome by increasing capabilities and utilizing technology. It is hoped that this paper can broaden understanding and encourage more effective and appropriate use of econometrics in Indonesia.

This study aims to analyze the effectiveness of collaborative learning in enhancing business communication skills among management students. The research involved 60 undergraduate management students at STIE Ganesha, enrolled in Business Introduction and Business English courses. Conducted over four months (February–May 2025), the study employed a mixed-method approach, including quantitative and qualitative data collection. Data were gathered through questionnaires, interviews, and classroom observations. Descriptive statistics, regression analysis, and thematic coding were used to analyze the data. The results show that 78% of students gained greater confidence in presenting ideas, 65% improved their use of business terminology, and 70% became more active listeners. Regression analysis confirmed a significant influence of collaborative learning on communication skills (p < 0.05). Qualitative findings emphasized the importance of lecturers’ facilitation in managing group dynamics and addressing dominance issues among students. The study suggests that the integration of collaborative learning methods into the management curriculum is crucial for enhancing students' soft skills, preparing them for future professional challenges. Additionally, it advocates for the development of structured collaborative activities to promote effective teamwork, active engagement, and better communication outcomes in academic settings, ultimately contributing to students' overall personal and professional growth.

Many regions in Indonesia face structural problems such as economic inequality. Economic inequality remains a significant obstacle to the development process, especially in developing countries such as Indonesia. The objective of this study is to determine the influence of Unemployment Rate, Education Index, and Poverty Rate on Economic Inequality in East Java Province. This study employs a quantitative method using secondary data analysis from the Central Bureau of Statistics (BPS) for the years 2010–2023. The analysis method used is multiple regression with classical assumption tests. The results of the study indicate that the Education Index and Percentage of Poor Population variables have a significant and positive impact on economic inequality, while the unemployment rate has a significant but negative impact on economic inequality in East Java Province. These findings suggest the need for further analysis of other factors influencing economic inequality to achieve equitable welfare for the community. The implications of this study can serve as a reference for the government in formulating inclusive development policies to reduce economic inequality in East Java.

Firm value is essential for business sustainability and serves as a key consideration for investors in assessing a company’s prospects. The enhancement of firm value is influenced by various factors observed by both internal and external parties. This study examines the partial effects of profitability, company growth, and capital structure on firm value. The research variables include Return on Assets (ROA) for profitability, Sales Growth for company growth, Debt to Equity Ratio (DER) for capital structure, and Price to Book Value (PBV) for firm value. A quantitative approach was employed using a sample of 25 technology sector companies listed on the Indonesia Stock Exchange during the 2021–2023 period, selected through purposive sampling. Data analysis techniques included descriptive statistics, classical assumption tests, multiple linear regression, and hypothesis testing. The findings indicate that profitability and company growth have a negative effect on firm value, while capital structure has a positive effect. These results contradict signaling theory but support the trade-off theory. This research contributes both theoretically and practically to the field of accounting and serves as a reference for management and investors in making strategic decisions related to enhancing firm value.

This study aims to determine the effect of the hoop target game on improving free throw skills among extracurricular basketball participants of grade X at SMA Negeri 1 Subang. The background of this research is based on the importance of free throw ability as one of the fundamental techniques that significantly influence success in basketball games, while many students still experience difficulties in achieving shooting accuracy. The research method employed was an experimental approach with a One Group Pretest-Posttest Design. The study population consisted of all 15 students participating in the basketball extracurricular program, who were also used as the research sample through a total sampling technique. The instrument used to collect data was a free throw shooting test. The validity test produced a coefficient of 0.860 and reliability of 0.750, indicating that the instrument was feasible to use. Data analysis was carried out using descriptive statistics and significance testing. The pretest results showed a minimum score of 1, maximum of 5, mean of 3.00, and a standard deviation of 1.195. Meanwhile, the posttest results indicated a minimum score of 3, maximum of 8, mean of 4.933, and a standard deviation of 1.222. The hypothesis test produced a significance value of p = 0.000 < 0.05, confirming that the hoop target training method had a significant effect on improving free throw ability. Thus, it can be concluded that the application of the hoop target game as a training method is effective in enhancing the free throw skills of basketball extracurricular participants at SMA Negeri 1 Subang. This research is expected to serve as a reference for physical education teachers and coaches in developing more varied and effective training methods to improve basic basketball skills.

The standard of proof is the foundation that keeps the criminal justice system from turning into a repressive tool to prevent state power from imposing arbitrary sentences. However, in the midst of technological developments, it has created an unstable evidence landscape that threatens the continuity of the legitimacy of the law itself without a standard of proof that can be objectively verified. This study uses a qualitative research method with a conceptual approach. The data collection method is collected using literature studies, then analyzed using qualitative methods and presented descriptively. The results of the study show that maintaining the existence of the standard of proof is no longer adequate if it is not accompanied by a responsible and adaptive reformulation to the complexity of contemporary evidence. Exploration of alternative forms of evidence offers opportunities to increase precision and transparency that have been difficult to achieve with traditional mechanisms, but all of these innovations can only contribute constructively if they are placed within a strict legal and ethical framework, given the inherent risks such as algorithmic bias, the reduction of judicial convictions to statistics without context, and gaps in accountability between jurisdictions in the application of forensic technology.

The threat of Distributed Denial of Service (DDoS) is increasing develop along with increasing use of the Internet of Things (IoT) and Software-Defined Networking (SDN) architecture . Although SDN provides convenience in management network , properties its centralized control make it prone to to flooding attacks that can paralyze controller performance . Detection method conventional , such as approach statistics and machine learning, still own limitations in matter accuracy , high false positive rate , and dependence on extracted features manually . To overcome problem said , research This propose a hybrid deep learning based DDoS detection and mitigation model that combines Convolutional Neural Network (CNN) to extraction feature spatial from RGB and Gated Recurrent Unit (GRU) images for understand temporal correlation between traffic data network . System tested through network test-bed Mininet based with Ryu/Floodlight controller, using simulation DDoS attacks (Hping3, LOIC) and normal traffic (video streaming, HTTP server). Traffic data cross recorded in PCAP format, processed become RGB image measuring 200×200 pixels, and labeled based on type traffic . Evaluation results with metric accuracy , precision, recall, F1-score, and MCC show that the CNN–GRU model has performance more superior compared to baseline approaches such as CNN-only, GRU-only, as well as classical ML methods such as SVM and Random Forest. In addition , the system capable apply mitigation adaptive through automatic flow rule creation on edge switches. Findings This confirm that effective deep learning- based spatial -temporal hybrid approach in increase detection early and response DDoS attacks on SDN networks adaptive and real-time.  

Transformational leadership plays an important role in improving organizational performance by creating an inspiring vision, building strong working relationships, and encouraging innovation. This study aims to analyze the impact of transformational leadership on employee performance across various sectors, with a focus on the Central Bureau of Statistics (BPS) in Maluku Province. The research employs a quantitative approach and is analyzed using statistical methods. The findings show that transformational leadership has a positive impact on employee motivation, engagement, and productivity. Leaders who provide a clear vision, offer emotional support, and encourage innovation have been proven to enhance organizational effectiveness. This study also identifies challenges in implementing transformational leadership, such as resistance to change and resource constraints. Therefore, it is crucial for organizations to develop adaptive and sustainable leadership strategies to optimize employee performance. These findings are expected to serve as a reference for stakeholders in designing more effective leadership policies.

This study aims to determine the role of statistics in everyday life to help students understand the concept of data centering measures, especially the mean, median and mode. This research was conducted at MTS Aisyiyah Palembang.  The research subjects were class VIII students, involving 16 students who were divided into 3 groups. This research used the PMRI approach where students were invited to measure contextually their height. The results showed that the PMRI approach can help students discover for themselves how to calculate a person's height and find the mean, median and mode through a mathematical reference process. Finding their own concept of data centering measures and solving problems in everyday life related to the concept of data centering measures. The results of this study show that through a series of activities that have been carried out help students in learning the size of data concentration.

Modern agriculture faces serious challenges such as climate change, soil degradation, and dependence on chemical fertilizers and pesticides, which negatively impact the environment and human health. To support sustainable food security, innovative and environmentally friendly solutions are required. One promising alternative is the use of endophytic bacteria as biological agents to enhance plant growth without relying on synthetic chemicals. This study aims to examine the role of endophytic bacteria in organic farming systems through a combination of laboratory tests and field experiments. The research stages include isolation and identification of endophytic bacteria from plant tissues, testing the ability of the bacteria to support plant growth in vitro, and applying it to organic farmland to evaluate resistance to pests and crop yields. The independent variable in the study is the type of endophytic bacteria, while the dependent variables include plant growth rates, pest resistance, and crop productivity. Data analysis was performed using descriptive statistics and ANOVA, followed by post-hoc tests to determine the effectiveness of the treatments. The results showed that treatments with endophytic bacteria, both singular and combined, significantly improved vegetative growth, reduced pest attacks, and increased crop yields compared to the control. The combination of bacterial isolates proved to have a stronger synergistic effect than single treatments. These findings demonstrate the potential of endophytic bacteria as natural biofertilizers and biopesticides to support environmentally friendly organic farming.

This study aims to analyze the influence of population size, Human Development Index (HDI), and Open Unemployment Rate (OUR) on poverty levels in regencies/cities of Special Region of Yogyakarta during 2018-2023 period. The research employed quantitative design with panel data regression analysis approach across five regencies/cities in DIY. Secondary data were obtained from official publications of Statistics Indonesia Yogyakarta Province and analyzed using Fixed Effect Model and Random Effect Model with Stata 17 software. The research findings indicate that HDI has negative and significant effect on poverty level, suggesting that improvement in human resource quality effectively reduces poverty. OUR proved to have positive and significant effect on poverty, confirming that increased unemployment raises poverty levels. Conversely, population size shows no significant influence on poverty in DIY. These findings provide strategic implications for local government to prioritize investment in education and health sectors as well as job creation programs in poverty alleviation efforts. High inter-regional heterogeneity indicates the necessity for policy approaches tailored to specific characteristics of each regency/city in DIY.

The purpose of this study is to examine the structure of economic performance and identify superior clusters in districts/cities in order to develop a basis for formulating effective regional development strategies. The methodology used is quantitative with a descriptive approach that includes analysis of location quotient (LQ), shift share and class typology. Secondary data comes from official institutions such as the Central Statistics Agency (BPS). The results of the study indicate that Sidoarjo has an advantage in the manufacturing sector (LQ 1.85) and is included in the category of advanced and rapidly developing regions. Lamongan stands out in the agricultural and fisheries sectors with significant growth, although its contribution to GDP is low, it is classified as a rapidly developing region. Gresik has a large and solid commercial sector, but its growth is still lagging behind the national average. Pasuruan is included in the lagging category because its education services sector has not become the mainstay of the economy. The cluster approach has proven successful in identifying regional potential and formulating data-based development policies. Cross-sector collaboration and responsive and supportive government policies are key factors in developing superior clusters that can accelerate regional economic growth in an inclusive and sustainable manner.

This research aims to determine the effect of using internet media as a learning resource on students' learning interest in the Economics subject in Grade XI at SMA Negeri 1 Gorontalo. Thus research employs a survey method using questionnaires as the data collection instrument. The population consisted of Grade XI students, and a sample of 74 students was randomly selected using random sampling. Data were analyzed using descriptive statistics, prerequisite tests, classical assumption tests, and simple linear regression analysis. The results indicate a positive and significant effect of using internet media on students' learning interest in Economics for Grade XI students at SMA Negeri 1 Gorontalo. The findings are expressed in the linear equation Ý = 29.653 + 0.495X. The Y variable (Learning Interest) is valued at 29.653 when the X variable (Internet Media) is 0 or absent. For every 1% increase in the X variable (Internet Media), the Y variable (Learning Interest) increases by 0.495. The t-test analysis indicates a positive and significant effect of using internet media as a learning resource on students' learning interest, with a t-count of 9.588 > t-table value of 1,922 and a significance level of 0.000<0.05.

This research investigates the influence of perceived organizational support on organizational commitment, with job satisfaction serving as a mediating variable. The study was carried out at the Regional Development Planning Agency (Bappeda) of Gianyar Regency, using a purposive sampling method to select 49 participants. A survey approach was adopted, employing both questionnaires and interviews as data collection tools. Data were analyzed using descriptive statistics and inferential analysis, specifically path analysis. The findings reveal that perceived organizational support positively and significantly influences organizational commitment. Additionally, perceived organizational support has a positive and significant relationship with job satisfaction. Job satisfaction, in turn, also positively and significantly affects organizational commitment. Moreover, job satisfaction is found to mediate the relationship between perceived organizational support and organizational commitment. Theoretically, the study contributes to the understanding of social exchange theory in the context of organizational behavior. Practically, it offers insights into how enhancing perceived organizational support and fostering job satisfaction can improve employees’ commitment to the organization. The research underscores the importance of managing these two factors to strengthen organizational commitment.

Children's confidence in educational activities that are tried includes playing, dialogue in front of the class, daring to go forward alone without playing with their friends can increase self-confidence, the purpose of this study is to find out the relationship between peer support and the formation of confidence in children aged 5-6 years at Zainul Hasan Genggong Pajarakan Probolonggo Kindergarten This type of research is correlational analysis,  While the design used is a cross sectional approach. The population of this study is some children in Zainul Hasan Kindergarten who are 5-6 years old with a total of 44 respondents who were taken by simple random sampling. The data analysis used was univariate analysis and bivariate analysis with che square test statistics. Based on the results of the most statistical test research between peer support and confidence building, namely the most peer support is in the high category, namely there are 30 people (68.2%) and the most confidence formation is in the high category, there are 33 people (75.0%). Based on the results of the chi square statistical test, a p-value was obtained. 0.002 where the result of p-value<a = 0.005, which means that there is a relationship between peer support and the formation of confidence in children aged 5-6 years at Zainul Hasan Genggong Pajarakan Kindergarten. It is hoped that health workers or researchers can continue to plan, add the right insight in the provision of services, for peers, especially about peer support with the formation of confidence.

This type of research is survey research. The purpose of this study is to (1) determine the effect of emotional intelligence on the biology learning outcomes of class X students of SMAN 9 Gowa, (2) determine the effect of learning motivation on the biology learning outcomes of class X students of SMAN 9 Gowa, (3) determine the effect of emotional intelligence and learning motivation together on the biology learning outcomes of class X students of SMAN 9 Gowa. The population in this study were all class X students of SMAN 9 Gowa and the selected sample was 153 students. The data collection technique in this study was a questionnaire and documentation. The collected data were then analyzed using descriptive statistical analysis and inferential statistics. The results of the study showed that there was a positive and significant effect between emotional intelligence and learning outcomes. This was proven in the t-test hypothesis testing obtained a value of 4.935 with a significance level of 0.000 <0.05. There was a positive and significant effect between learning motivation and learning outcomes. This was proven in the t-test hypothesis testing obtained a value of 6.965 with a significance level of 0.000 <0.05. So it can be concluded that emotional intelligence and learning motivation play an important role in the learning process, especially in student learning outcomes.

This study aims to determine the effect of the number of MSME units and the labor force on economic growth (GRDP) in Gorontalo City. The study method used is quantitative, with data analysis techniques employing classical assumption test and hypothesis testing, and analyzing the data using multiple linear regression analysis with the assistance of IBM SPSS 21 software. The data used in this study include secondary data obtained from the Statistics of Gorontalo City and the Department of Manpower, Cooperatives, and MSMEs of Gorontalo City. This study consists of a dependent variable, which is the economic growth (GRDP) of Gorontalo City, and independent variables, which are the number of MSME units and the labor force during the period of 2020-2024. The results indicate that simultaneously, the variables of the number of MSME units and the labor force affect economic growth (GRDP) in Gorontalo City significantly. The variable of the number of MSME units, when considered individually, has a positive and significant effect onn economic growth (GRDP) in Gorontalo City. Meanwhile, the labor force variable has a positive and significant effect economic growth (GRDP) in Gorontalo City.