The Jingling Button Type Cooperative Learning Model is a learning model whose main objective is to achieve equal learning opportunities for each student so that students become more active in the learning process. This research aims to determine the effect of the rattling button type cooperative learning model on student learning outcomes in thermochemical material at SMA Negeri 2 Tenggarong Seberang. The research population was all students of class XI MIPA SMA Negeri 2 Tenggarong Seberang. Sampling used a cluster random sampling technique, so that the research samples were obtained, namely class XI MIPA 2 students and class XI MIPA 3 students. Student learning outcomes were obtained from posttest scores and daily tests. The data analysis techniques used are normality test, homogeneity test and t test. The results of the analysis of the data obtained show that the average learning outcome score for experimental class students is 82.65, which is higher than the average learning outcome score for control class students, which is 72.62. Based on the results of the data analysis that has been carried out, it can be concluded that the application of the rattling button type cooperative learning model has a better influence on student learning outcomes at SMA Negeri 2 Tenggarong Seberang on Thermochemistry material.

Learning creativity is influenced by several factors including interest, learning concentration, learning motivation, learning habits, learning style. At Kesemen Elementary School, student learning outcomes are classified as low, which is thought to be influenced by learning creativity factors and visual learning styles, as proven by observation results such as students not listening to the teacher's explanations, many students still lack enthusiasm in receiving learning, students are less able to give opinions in answering questions. given by the teacher in class, students lack creativity in developing new ideas in the learning process, lack of listening to the teacher's explanations during learning. Apart from that, students are found unable to sit still in the learning process. This type of research is correlational. The population in this study was 63 students. The sample in this study used a total sampling technique totaling 63 people. The data collection technique used was a questionnaire. Before the questionnaire was distributed to research respondents, a trial was first carried out with the aim of measuring the validity and reliability of the statements. The data analysis techniques used are descriptive data analysis, analysis prerequisite tests consisting of normality and homogeneity tests, multiple linear regression analysis tests, coefficient of determination and hypothesis testing. The tool used to test all of this is SPSS version 18.0. Based on the results of data analysis, it was found that there was a significant positive influence between learning creativity (X1) on learning outcomes (Y). For the learning creativity variable, the t-count value was 2.862 > t table of 1.670 with a significant value of 0.006 < 0.05.  Furthermore, it was also found that there was a significant influence between visual learning style (X2) on learning outcomes (Y). For the learning style variable, the tcount value was 2.254 > ttable of 1.760 with a significant value of 0.028 < = 0.05 and there was an influence of learning creativity and visual learning style on student learning outcomes together of 2.178 with a determinant result of 0.191. This means that learning creativity (X1) and visual learning style (X2) influence the learning outcome variable (Y) by 19.1%, the remaining 81.9% is influenced by other factors not included in this research. So a multiple linear regression can be formulated Y = 25,651+ 0.276X1 + 0.250X2. Apart from that, the analysis results found a TCR of 77.48%. The highest level of achievement for respondents was in the learning creativity variable with tcr, which was 80.5%. while the lowest is in the visual learning style variable with tcr which is 74.46%

Globalisation introduces substantial changes to human existence, combined with in social, economic and cultural elements. However, these adjustments furthermore offer critical obstacles, specifically for Muslims, United Nations agency generally need to confront beliefs and practices that contrast with monotheism teachings. With an emphasis on social, economic, and cultural facets, this analysis seeks to examine the applicability of Qur'anic interpretation in addressing the issues of globalization. It is intended that a wide range of flexible and conversational approaches to interpretation will provide fresh perspectives on how the holy text's lessons remain pertinent and relevant in today's modern world. Using literature reviews and material gathered from a variety of contemporary commentary, books, scientific papers, and journals, a qualitative analysis technique is employed. The findings of the analysis demonstrate that a discourse interpretation of the Qur'an will address the problems of economic injustice, social inequality, and the cultural psychological state brought on by globalization. Finally, in order to respond to the problems of globalization and ensure that the teachings of the Qur'an remain relevant in the current era, a dynamic interpretation method is absolutely essential.

The current research aims to verify the relationship between talent management practices represented by (attracting talent, investing talent, localizing talent, retaining talent) and the creative work behavior of employees represented by (exploratory creative work behavior, investment creative work behavior), among a sample of teaching staff in private universities and colleges in the Middle Euphrates region, numbering (276) instructors. The researchers adopted the descriptive analytical approach, taking the questionnaire as a basic mechanism for collecting the necessary data for the practical aspect of the study. The study concluded that there is a relationship between talent management practices and the creative work behavior of employees. As a result, the study reached a set of recommendations, the most prominent of which is that private universities and colleges must create a flexible academic environment that encourages innovation, such as remote work options or flexible work schedules, which supports work-life balance and makes room for creative thinking, in addition to implementing a periodic evaluation system to measure the level of employee engagement and creative behavior, and using the evaluation results to improve programs and practices. Continuously.

Home industries such as Noga Sari, daily produce processed nuts with original and chocolate flavors. With previous research that obtained information about the composition of many units of each variant in production, as well as determining the maximum profit obtained optimally, to determine this, as a consequence of the analysis, the maximum profit of UMKM Noga Sari must be calculated. To this end, a linear program is used to calculate the maximum profit using the simplex approach through a solver. The quantitative method is applied in this research. Information gathered from talks with the UMKM Noga Sari's owner.

The studies of J. Lave and L. Silverman, which, with the help of the proximity technique,demonstrated that only through a closeness between time and space can relevant results be obtained toachieve a superior performance under the given conditions of the current health system, in our opinion,outlines the idea that the application of the Time-Driven Activity-Based Costing (TD-ABC) method is themost suitable solution. The complexity of TD-ABC operations is found in the time equations needed todetermine the resources consumed by each activity. Using these equations, it is easy to update the modelby adding an additional activity. This simplification would allow the multiplication of the activities to betreated without presenting difficulties in the distribution of resources. In fact, what we have here isclearly an &quot;autonomous method of equivalence&quot; that uses working time as a unit of equivalence. Themain objective of our concerns is to identify the determinants of the time required to start, perform andcomplete medical procedures in an ambulatory clinic organized in 15 medical offices. As a reaction to thecriticisms of some authors regarding the difficulty of measuring time for establishing the time drivers ofthe TD-ABC method, in the scientific approach carried out we tried to model the activity times with thehelp of the multiple regression model. We believe that the values ??estimated and obtained with the help ofthe Automatic Linear Modeling factor analysis model eliminate the imperfection of the TD-ABC methodhighlighted by the authors S. Hoozée et al (2009) regarding subjectivity and instability in themeasurement of activity times.

Task scheduling in cloud computing environments is a crucial aspect in optimizing resource allocation and improving system efficiency. This research aims to analyze trends in task scheduling algorithms in cloud computing using a Systematic Literature Review (SLR) approach on various scientific publications published between 2018 and 2025. The results of the study show that Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) algorithms are the most commonly used methods in solving task scheduling problems. PSO stands out as an effective algorithm due to its ability to find global optimal solutions, handle non-linear and multimodal problems, and its efficiency in managing computational resources. Additionally, various studies have shown that optimization of scheduling algorithms can be achieved through a combination or modification of existing methods to improve system performance. This study provides in-depth insights into the development of scheduling algorithms in cloud computing and opens up opportunities for further research in developing more innovative and adaptive approaches.

To deal with the environmental crisis, greening is an environmental conservation strategy. The concept of greening is needed because regional conditions are developing and the function of space is changing for development. Apart from playing an important role in preserving the environment, humans also have a responsibility to exploit environmental wealth for the ecosystem's survival. The Participatory Action Research (PAR) method builds community commitment to reforestation efforts to preserve the environment. The result is that the climate becomes fresher, healthier, and cooler, nature becomes maintained and clean, and people learn more about greening through planting tree seedlings. Reviving natural aesthetics, using trees as air fresheners, and reducing flooding are the goals of this service initiative.

The interest rate in the Iraqi economy represents an active and important element in the management of monetary policy in the Iraqi economy, as it is used by the monetary authority represented by the Central Bank of Iraq to influence the money supply, as well as the impact of this also by allocating the available resources for savings among foreign investments to achieve the central goal of the monetary authority of achieving stability in prices such as the interest rate and various prices and values of investments together and thus achieve balance at the economic and financial levels. This research analyzes the relationship between interest rate changes (IRC) and foreign direct investment (FDI) in the Iraqi economy during the period from (2004-2023). Multiple analytical tools were used, including descriptive statistics, correlation analysis, time series analysis, and prediction models using ARIMA and Prophet. The results showed an association between the two variables under consideration, with the ability of the ARIMA and Prophet models to provide accurate forecasts of future   FDI trends. A quantitative methodology that includes descriptive statistics, correlation analysis, time series models, and forecasting tools has been adopted to clarify the relationship between the two variables and draw conclusions that support economic decision-making.

This article discusses the role of the Blue Economy in increasing the income of coastal communities in North Sumatra through the utilization of fisheries resources. With great marine potential, including fishing that reaches more than 1 million tons per year, the North Sumatra region faces several challenges such as, low quality of human resources and limited access to technology. The Blue Economy offers a sustainable approach to managing marine resources, which not only promotes economic growth and community welfare, but also maintains the health of marine ecosystems. Through a qualitative method, we selected sources of articles found in databases in journals spread across various indexes and other sources. The research process began with literature mapping related to the role of the Blue Economy in increasing the income of coastal communities through optimizing fisheries resources, published in the last five years (2020-2024). Furthermore, group discussions were held to deepen the content analysis of the selected literature. The main objective of this research was to provide comprehensive information from the literature related to Blue Economy studies in economics and development. It was found that overall, the Blue Economy in North Sumatra has a significant positive impact on coastal communities. By managing fisheries resources and the environment more sustainably, opening up new opportunities through tourism, and improving the quality of fisheries products, the Blue Economy creates more equitable welfare, preserves nature, and supports the income of coastal communities in the long term.