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This research investigated the biomechanical variables of movement analysis and its essentialcomponents for handball players at the College of Physical Education and Sports Sciences, Al-MustansiriyaUniversity, during a league match and university qualifiers. The data was analyzed using binary logisticregression, a mathematical model that defines the link between a dependent variable, which takes the valueof one when a goal is scored against the opposing team and zero when no goals are scored, and independentfactors.The bird swarm algorithm will be used in this research. It is one of the artificial intelligencealgorithms that rely on the intelligence of living flocks by monitoring their movements, such as birds, bees,cats, chickens, and many other swarm algorithms.The conclusions we reached from this study are as follows: When using logistic regression, we foundonly four explanatory variables that affect the dependent variable. They are detailed as follows: The twoexplanatory variables (The maximum height of the hip and Flight time until leaving the ball) and thedependent variable (shooting) have an inverse relationship and affect it. The two variables (Knee angle at themoment of thrust and The instantaneous speed of the ball) have a positive relationship with aiming and affectit.When we used the Bird Swarm algorithm, we found that all the explanatory variables included in thestudy had a significant effect on the dependent variable. The variables (Knee angle at the moment of thrust,Rising angle, Flight angle, The instantaneous speed of the ball, and the horizontal distance of theperformance) have a positive relationship, with the dependent variable (shooting). In contrast (The maximumheight of the hip and Flight time until leaving the ball) have an inverse relationship with the dependentvariable.Using the logistic model helps sports coaches and researchers to estimate and predict models,especially when the dependent variable takes values ​​(one or zero). In contrast, we noticed that the resultswere more accurate and objective when using the bird swarm algorithm. It further helps academics, thoseinterested in sports, and coaches benefit from these results.

This research aims to analyze factors that relate to and influence the performance of employees at the regional secretariat of Nagan Raya district. The research was conducted in August and September 2018 with a sample size of 109 participants and 20 respondents to test the research instruments. The sample for this research was taken randomly (simple random sampling). Path analysis (part analysis), using the SPSS version 21 computer, was used to test the empirical hypothesis. The research results show that Leadership Style (X1) has a direct effect on Job Satisfaction (X3) of = 0.382 or 38.2%, Teamwork (X2) has a direct effect on Job Satisfaction (X3) of = 0.380 or 38%, Job Satisfaction (X3 ) has a direct effect on Employee Performance (Y) of = 0.255 or 25.5%, Leadership Style (X1) has a direct effect on Employee Performance (Y) of = 0.238 or 23.8%. Thus, Job Satisfaction is the most dominant variable that can increase the Job Satisfaction of Nagan Raya Regency regional secretariat employees.

This study aimed to determine the influence of job satisfaction and organizational commitment on organizational citizenship behavior (OCB) of employees at the Bukit Indah Lestari Baturaja Hotel. The data analysis technique used was Multiple Linear Regression. Based on the results of the partial analysis there was an influence of job satisfaction on organizational citizenship behavior (OCB) of employees at the Bukit Indah Lestari Baturaja Hotel with at-count (4.878) > t-table ( 2.009). Organizational commitment variable had an influence on organizational citizenship behavior (OCB) of employees at the Bukit Indah Lestari Baturaja Hotel with t count (4.716) > t-table (2.009). Simultaneously, it was found that there was an influence of job satisfaction and organizational commitment on organizational citizenship behavior (OCB) of employees at Bukit Indah Lestari Baturaja Hotel with f-count (45.555) > f-table (3.187). The coefficient of determination (R2) obtained was 0.650. This showed that the contribution of the influence of job satisfaction and organizational commitment to organizational citizenship behavior (OCB) was 65% while the remaining 35% was influenced by other variables not mentioned in this study such as personality, motivation, morals and organizational culture (Widyaninngrum, 2019: 102 ).

This study aims to analyze the influence of training and work motivation on employee turnover at the BIPTAK Training Center in Semarang City. Employee turnover is a challenge for organizations as it can affect stability and work productivity. This research employs a quantitative approach using multiple linear regression analysis to examine the relationship between the independent variables—training and work motivation—and the dependent variable—employee turnover. The findings indicate that training has a negative and significant effect on employee turnover, meaning that the better the training provided, the lower the employee turnover rate. Additionally, work motivation also has a negative and significant effect on employee turnover, suggesting that the higher the work motivation, the lower the likelihood of employees leaving the company. These findings highlight the importance of improving training programs and motivation strategies to reduce employee turnover rates within organizations.

This study aims to examine the effect of Firm Size, Audit Committee, and Public Ownership on Audit Delay in manufacturing companies in the Basic and Chemical Industries sector listed on the Indonesia Stock Exchange during the period 2016-2018. Audit Delay is an important indicator that reflects the duration of time required to complete an audit of financial statements. This study uses a quantitative approach with secondary data taken from the annual reports of companies listed on the Indonesia Stock Exchange. The population of this study consists of manufacturing companies in the Basic and Chemical Industries sector listed on the Indonesia Stock Exchange during the period 2016-2018. The sampling technique used is purposive sampling, resulting in a sample of 168 companies. The independent variables in this study are Firm Size, Audit Committee, and Public Ownership, while the dependent variable is Audit Delay. Data analysis was conducted using multiple linear regression. The results show that: first, Firm Size has a significant negative effect on Audit Delay, meaning that the larger the company size, the faster the audit process. Second, Public Ownership has a significant positive effect on Audit Delay, indicating that companies with public ownership tend to take longer to complete audits. Third, the Audit Committee does not have a significant effect on Audit Delay, meaning that the presence of an audit committee does not influence the audit completion time. This study contributes to a better understanding of the factors affecting audit delay in public companies.

This study aims to analyze the influence of leadership style and organizational commitment on the performance of PKK cadres in the PKK Mobilization Team of Gogik Village, West Ungaran District. The participants in this study were active PKK cadres involved in organizational activities. The research employed a quantitative approach using multiple linear regression analysis to examine the relationship between the independent variables—leadership style and organizational commitment—and the dependent variable—cadre performance. The findings indicate that leadership style has a positive and significant impact on the performance of PKK cadres. Additionally, organizational commitment plays a crucial role in improving cadre performance. These results suggest that effective leadership and strong cadre commitment contribute to enhancing overall organizational performance. Therefore, improving leadership quality and strengthening cadre commitment should be prioritized in organizational management to achieve more optimal PKK program objectives.

This study models the inflation rate in Sumatra using Generalized Linear Models (GLM) with Gamma and Negative Binomial distributions. The data includes inflation rates, Consumer Price Index (CPI), poverty rates, and employment sectors from the 2019 BPS report. The results show that the Gamma model performs better in predicting inflation compared to the Negative Binomial model, with a lower AIC value and smaller residual deviance. The CPI variable significantly influences inflation, while other variables are not significant.

The unemployment rate in Jombang district is still quite high, data from the Central Statistics Agency for East Java Province shows that there are still 4.66 percent of Jombang residents who are still unemployed. Efforts to reduce the unemployment rate in the future are by preparing complex education and providing training. Prakerin is expected to be able to increase the work readiness attitude of vocational school students. The approach used in this research is quantitative, with the research population being class XII vocational school students in Jombang City who have taken part in Prakerin. The research results support the first hypothesis that the Prakerin variable has a positive and significant effect on the work readiness of vocational school students in the city of Jombang. It is shown in the f test where the significance value for the Prakerin variable (X) is 0.000 because the significance value <0.05 shows that there is a partial influence of the Prakerin variable (X) on the work readiness variable (Y).

This research is a case study that aims to determine the method of calculating the cost of production based on full costing. The data used in this study are primary and secondary, with the research location at the UMKM Crusty Crips located on Jalan Nangka Utara, Denpasar. Crusty Crisp was established in 2020. This product is a Balinese rempeyek (peyek) in the shape of a sunflower madefrom natural ingredients and typical Indonesian spices. The data collection method used is to analyze the elements of production costs (manufacturing costs) such as direct raw material costs, direct labor and factory overhead costs, where the calculation of full costing includes elements of factory overhead costs, both fixed cost elements and variable cost elements.

In the modern era, companies are assessed not only based on financial performance but also on how they manage environmental, social, and governance (ESG) impacts. ESG disclosure has become a key consideration for investors in evaluating corporate sustainability, particularly in the food and beverage sector in Indonesia. This study aims to analyze the effect of ESG disclosure on the profitability of food and beverage companies listed on the Indonesia Stock Exchange (IDX). The research employs a quantitative method with a multiple linear regression approach to analyze panel data. Data were obtained from annual reports and sustainability reports of companies for the 2021-2023 period. The research sample was selected using a purposive sampling method based on ESG disclosure criteria and the availability of profitability data. The analysis includes descriptive statistics, classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation), as well as hypothesis testing using t-tests and F-tests. The findings reveal that, partially, the environmental, social, and governance disclosure variables do not have a significant effect on profitability (measured by Return on Assets/ROA). Simultaneously, these three variables also show no significant relationship with company profitability. The low coefficient of determination (R² = 0.018) indicates that profitability variance is predominantly influenced by factors outside of ESG disclosure.

This study aims to examine the effect of the implementation of the Quick Response Code Indonesian Standard (QRIS) in increasing business income, especially for Micro, Small and Medium Enterprises (MSMEs) using the Technology Acceptance Model (TAM) approach. The method used in this study is a descriptive quantitative approach, which aims to provide an overview of the QR Code implementation. The population in this study involved MSME owners, with a sample taken from 100 respondents through non-probability sampling techniques. Data collection was done through questionnaires. Data analysis includes testing research instruments to assess data quality (validity and reliability), classical assumption test (normality), as well as multiple linear regression analysis and hypothesis testing (t test and F test). The results show that QRIS implementation and user satisfaction have a significant influence on increasing MSME income, which supports TAM theory regarding the importance of perceived usefulness and perceived ease of use in technology acceptance. However, other variables, such as QRIS usage literacy, convenience of use, and QRIS service price, did not show a significant influence on MSME income. Simultaneously, these factors still have an effect on MSME income, although with different variations in influence.

Labeling halal is a way to provide information that helps consumers identify the halal status of products on their packaging. With this halal labeling, the product can be regarded as halal, offering assurance and legal protection in line with Islamic law. The aim of this study was to assess the impact of halal labeling on consumer purchasing decisions, using interest as an intervening variable for Moringa Sticks products. The sampling method employed in this study was Nonprobability Sampling, involving a total of 100 respondents. Several tests were conducted, including data instrument tests, classical assumption tests, path analysis, hypothesis testing, and concluded with the Sobel test. The findings of this study indicate that the halal labeling variable (X) and purchase intention (Z) as an intervening factor do not have a significant impact on purchasing decisions (Y) for the Moringa Stik product.

This study aims to determine the effect of the Mobile SAMSAT program, E-SAMSAT and awareness in paying taxes on motor vehicle tax revenues at the Kupang City Regional Revenue UPTD or the Kupang City SAMSAT Office. This study uses a descriptive statistical approach. The population in this study were all taxpayers registered at the Kupang City Regional Revenue UPTD. The sampling technique and determination of informants in this study used purposive sampling. The number of samples in this study was 100 respondents and the data collection method was carried out by distributing questionnaires. Data analysis used in this study was validity testing, reliability testing, classical assumption testing, multiple linear regression and hypothesis testing using IBM SPSS Statistics 26. The results of simultaneous testing showed that the variables of the Mobile SAMSAT program, E-SAMSAT and awareness in paying taxes had a significant effect on increasing motor vehicle tax revenues in Kupang City. The Mobile SAMSAT and E-SAMSAT programs supported by increased taxpayer awareness will have a positive effect on increasing Motor Vehicle Tax revenues because they simplify the payment process and increase the fulfillment of motor vehicle taxpayers in Kupang City.

This study seeks to evaluate the impact of the guided inquiry learning paradigm on the academic performance of seventh-grade students in biology at SMP Negeri 6 Tondano. This research used a quasi-experimental approach utilising a non-equivalent control group design. The study sample comprised class VII A with 25 students and class VII B with 25 students. This study's variables include the independent variable (X), which consists of users of the guided inquiry learning model, and the dependent variable (Y), which pertains to the learning outcomes of seventh-grade students at SMP Negeri 6 Tondano. Data gathering methods encompass interviews, documentation such as activity reports and pertinent data, and written assessments, including multiple-choice examinations. The hypothesis test employed to assess the difference in student learning outcomes between the experimental and control groups utilises the t-test. The mean post-test learning results for Class VII B students (experimental group) utilising guided inquiry is 82.6. In contrast, the mean outcomes for Class VII A students (control group) employing direct instruction is 77. The hypothesis test findings indicate a t-test value of 2.826, which exceeds the t-table value of 2.010 at a significance level of 0.05. According to the criteria for hypothesis testing, H0 is rejected, and H1 is approved. Consequently, it can be inferred that the guided inquiry learning model positively impacts the learning results of Class VII students in biology at SMP Negeri 6 Tondano.

Previous research has extensively observed how International Environmental Standards, commonly known as ISO 14000. However, research on the influence between X1, X2, and Y at PT. Futaba Industrial Indonesia has not been conducted before.  Therefore, this study aims to analyze the influence of the work environment and customer satisfaction on the implementation of the ISO 14000 environmental management system.  Using a quantitative approach, data were collected through questionnaires distributed to 52 respondents, consisting of employees at various levels of positions using the Simple Random Sampling technique.  The research results show that the work environment variable has a significant impact on the implementation of ISO 14000.  In addition, customer satisfaction also becomes an important factor in supporting the success of this system.  This research emphasizes the importance of good workplace environmental management and improving customer satisfaction to ensure optimal environmental sustainability through the implementation of the international ISO 14000 standards.

Sukuk as an Islamic financial instrument plays a strategic role in supporting monetary stability in Indonesia. This study explores the relationship between sukuk and monetary policy variables, such as inflation, exchange rate, and economic growth. Sukuk has proven to be a stable instrument that supports sustainable development by mitigating external debt risks. Through the analysis of the monetary policy transmission mechanism, this study identifies the role of sukuk in asset price and exchange rate channels. The results show that sukuk has a positive impact on monetary stability and long-term economic growth.

This study aims to analyze the effect of capital expenditure and Human Development Index (HDI) on economic growth in Indonesia. Using time series data from 2011 to 2023 sourced from Indonesia's Central Bureau of Statistics (BPS), this study applies the multiple linear regression method using the Eviews 10 program. The results show that capital expenditure has a positive and significant influence on economic growth, while HDI has a positive but insignificant influence. Simultaneously, these two variables contribute significantly to economic growth with an R-squared value of 60.14%. This study emphasizes the importance of efficient capital expenditure management and efforts to improve the quality of human resources to support inclusive and sustainable economic growth.

Social and economic welfare reflects the quality of life in a region and is influenced by local social, economic, and environmental factors. East Java, as the second most populous province in Indonesia, faces challenges in improving the welfare of its residents, particularly due to varying regional characteristics such as employment, education, and population demographics. To understand the patterns of interrelationships among factors affecting welfare, this study conducted a klaster analysis to group regions based on similar characteristics. The klaster analysis employed both hierarchical (complete linkage) and non-hierarchical (K-means) approaches to determine the optimal number of klasters. The results revealed that the level of diversity across regions in East Java tends to be homogeneous in social and economic aspects, with average values exceeding standard deviations. Assumption tests for the klaster analysis confirmed that the data met the assumptions of multivariate normal distribution and dependency.Through hierarchical (complete linkage) and non-hierarchical (K-means) klaster analysis, two main klasters were formed, dividing districts/cities in East Java based on welfare characteristics. Using the complete linkage method, 27 regions were grouped into klaster 1, and 11 regions into klaster 2, while K-means grouped 26 regions into klaster 1 and 12 regions into klaster 2. Out of the six variables used, one variable was found to be insignificant in influencing the klastering results. Based on the mapping results, the grouping aligns with similar criteria, where urban areas predominantly fall into one klaster, and the other klaster is dominated by rural areas.

This study aims to analyze the effect of sapta production on cattle fattening in Serdang Bedagai. With the increasing demand for cattle in the local market, it is important to understand the factors that influence the productivity of cattle farming. The method used in this study is a quantitative survey, with data collection through questionnaires distributed to cattle farmers in cattle fattening businesses in Serdang Bedagai. Production variables included production cost, feed amount, maintenance, and yield per period. Analysis was conducted to determine the relationship between production variables and farmers' income. The results of the study are expected to provide insight into the dominant factors affecting the production and income of cattle farmers. The findings provide insight for farmers on the importance of production management to increase profits and business sustainability. This study is expected to serve as a basis for the development of more effective production strategies in the cattle farming sector in Serdang Bedagai.

This research aims to analyze the cost behavior of Donut Legend MSMEs in Burneh District, Bangkalan Regency, Madura. The main focus is the identification and separation of fixed and variable costs in the production process and their impact on operational efficiency and business profitability. This research uses an associative approach with a high-low point method to separate fixed and variable costs from total mixed costs. Primary data was obtained through interviews with business owners, while secondary data came from literature studies. The research results show that Donut Legend has fixed costs of IDR 46,646 per period and variable costs of IDR 259 per unit of activity. Research identifies that electricity costs are mixed costs. However, the data provided by the owner is broad and unstructured, which may affect the accuracy of the analysis. This research is limited to unstructured data and only uses the high-low point method, the results of which are not completely accurate because they only represent changes at two extreme points. It is recommended that MSME Donat Legend improve systematic cost recording and analysis. In addition, more in-depth and accurate analysis methods are needed to provide more comprehensive insight into the cost structure. Increasing financial literacy is also important to support more effective strategic decision making.