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The objectives of this study are 1) to determine the effect of giving reinforcement by Christian Religious Education Teachers on the learning outcomes of Christian Religious Education and Budi Pekerti Class IX Students of SMP N 1 Palipi in the 2023/2024 Learning Year; 2) to determine the effect of giving reinforcement by Counseling Guidance Teachers on the learning outcomes of Christian Religious Education and Budi Pekerti Class IX Students of SMP N 1 Palipi in the 2023/2024 Learning Year; 3) to determine the effect of giving reinforcement by Christian Religious Education Teachers and Counseling Guidance Teachers together on the Learning Outcomes of Christian Religious Education and Budi Pekerti Class IX Students of SMP N 1 Palipi in the 2023/2024 Learning Year. The method used in this research is inferential quantitative method with expo-facto correlation model. The population is all ninth grade students of SMP Negeri 1 Palipi in the 2023/2024 Learning Year, totaling 160 people and a sample of 40 people was determined using random sampling technique. Data were collected with a closed questionnaire of 32 items.  The results of data analysis show that: 1) the value of F count> F table between the Strengthening of Christian Religious Education Teachers on Student Learning Outcomes of Christian Religious Education and Budi Pekerti Students is 14.849> 3.23, thus it is known that there is an influence between the Strengthening of Christian Religious Education Teachers on Student Learning Outcomes of Christian Religious Education and Budi Pekerti Students, namely 28, 1%, 2) the value of F count> F table between the Giving of Strengthening the Counseling Guidance Teacher on the Learning Outcomes of Christian Religious Education and Budi Pekerti Students, namely 14.651> 3.23, thus it is known that there is an influence of the Giving of Strengthening the Counseling Guidance Teacher on the Learning Outcomes of Christian Religious Education and Budi Pekerti Students, namely 27, 8%, 3) the value of F count> F table between the Strengthening of Christian Religious Education Teachers and the Strengthening of Counseling Guidance Teachers on the Learning Outcomes of Christian Religious Education and Budi Pekerti Students, namely 10.569> 3.23, thus it is known that there is an influence of the Strengthening of Christian Religious Education Teachers and the Strengthening of Counseling Guidance Teachers on the Learning Outcomes of Christian Religious Education and Budi Pekerti Students in Class IX SMP N 1 Palipi Learning Year 2023/2024 which is 36.4%, thus Ha is accepted and H0 is rejected.

Learning models have a role in facilitating the process of transferring knowledge carried out by teachers to students. This study applies the direct instruction learning model with the aim of improving dribble skills in basketball learning. This research uses a quantitative approach with a pseudo-experimental method. The sampling technique used was cluster random sampling involving 115 students at junior high school level 1. The results showed that the direct instruction learning model was effectively applied to basketball dribble learning. The increase in the experimental group occurred by 48.90% for the skill variable, and 25.30% for the assessment variable. These results indicate that the direct instruction learning model is better than the conventional learning model. On the other hand, the direct instruction learning model has the possibility of ineffectiveness if applied to other learning and other levels of education.

This study aims to determine the effect of the mindmap-assisted STEM approach on students' Higher Order Thinking Skills in learning biology class X SMA Negeri 4 Kerinci. This research is experimental research with a group pretest-posttest design model. The population in this study came from students of class X MIPA SMA Negeri 4 Kerinci in the academic year 2021/2022. The research sample was students of class X MIPA 2 and Class X MIPA 4. The sampling technique used was the random sampling technique. The data collection technique in this study was in the form of an objective test consisting of 20 HOTS questions that had been validated by experts. Data analysis is quantitative data analysis with tests using the SPSS 21 application. The results of the study can be concluded that the STEM approach has a significant effect on students' higher-order thinking skills in learning biology with the results of hypothesis testing 0.00 < 0.05. Furthermore, the STEM approach can increase students' HOTS in biology learning, the average score of the experimental class students is 85.76 and the control class is 70.31.

In the 2013 curriculum there are various learning materials that can be implemented by students as a means of physical activity, one of which is shooting free throw, in this material students have difficulty in understanding and lack of skill in implementation. The purpose of this study was to determine the effect of the explicit instruction model on shooting free throw learning outcomes. The type of research used is a pre-experiment with a one group pretest posttest design. The research sample was selected using cluster random sampling technique, consisting of 32 students of class VI-D SDN Rungkut Menanggal I/582 Surabaya. The research instrument used was a learning outcome test, which included a knowledge test in the form of 10 multiple choice questions, and a skill test in the form of 10x free throw shooting. Through the results of the Wilcoxon test and the results of the percentage increase, the knowledge showed a p-Value of 0.00 (sig <0.05) with an increase of 62.83%. Process-oriented skills show p-Value 0.00 (sig < 0.05) with an increase of 231%. Meanwhile, product-oriented skills showed a p-Value of 0.80 (sig ≥ 0.05). The results showed that the application of the explicit instruction model had an effect on the learning outcomes of free throw shooting in the aspects of knowledge and process-oriented skills, but had no effect on the aspects of product-oriented skills.

The aim of this research is to determine the influence of the Expository Learning Model on the Learning Motivation of Class X Students of SMK HKBP Sidikalang 2022/2023. The method used in this research is a quantitative inferential statistical research method. The population is all 119 class X students of HKBP Sidikalang Vocational School who are Christians. Sampling used random sampling techniques, namely class X with a total of 48 people. Data was collected using a positive closed questionnaire with 36 items. The results of data analysis show that there is a positive and significant influence of the Expository Learning Model on the PAK Learning Motivation of class ,n=48) = 0.284, thus it is known that there is a positive relationship between variable = 1.678, thus there is a significant relationship between variable X and variable Y. c) Test the effect of regression determination (r2) = 15.44%. 2) Influence test: Regression equation test, obtained regression equation Ŷ=37.68+1.31X. Thus Ha is accepted and H0 is rejected. This research concludes that there is a positive and significant influence of the Expository Learning Model on the PAK Learning Motivation of Class In connection with the results of this research, the author provides input for schools to improve and maintain a good and structured Expository learning model so that it can increase student learning motivation.

The study aims to determine the positive and significant effect of the Contextual Teaching and Learning learning model on the motivation to learn PAK and Budi Pekerti of class XI SMA Negeri 2 Sibolga in the 2023/2024 Learning Year. The research hypothesis is that there is a positive and significant influence between the Contextual Teaching and Learning learning model on the motivation to learn PAK and Budi Pekerti of class XI SMA Negeri 2 Sibolga in the 2023/2024 Learning Year. Descriptive and inferential quantitative research methods. The population of all grade XI students of SMA Negeri 2 Sibolga in the 2023/2024 academic year who are Protestant Christians totaling 106 people. Random sampling is 32% of the total population, namely 34 people. The research instrument is a closed questionnaire. The results of the analysis requirements obtained the value of rxy= 0.573> rtable = 0.339 andtcount=3.955> ttable = 2.042 indicate a positive and significant relationship between the Contextual Teaching and Learning learning model with PAK and Budi Pekerti learning motivation of class XI students of SMA Negeri 2 Sibolga in the 2023/2024 Learning Year. The results of regression analysis obtained: a) regression equation. b) Determination test obtained the amount of influence, namely (r2) x100% = 32.83%. c) Hypothesis testing obtained Fhitung= 15.624> Ftabel= 3.32 then H0 is rejected andHa is accepted. The study concluded that the Contextual Teaching and Learning learning model applied by PAK teachers seriously in the teaching and learning process can increase the motivation to learn PAK and Budi Pekerti of class XI SMA Negeri 2 Sibolga in the 2023/2024 Learning Year.

Knowing the effectiveness of the CORE model in learning to write Indonesian biographical texts for class X Karangpucung Darussalam Vocational School is the aim of this research. The type used in this research is quantitative with a quasi-experimental design. The sampling technique is random sampling technique. Class X TKR 1 as the experimental class and class X TBSM 1 as the control class. In this analysis the data collection method is the experimental method. The results of the t-test assume that if t_count > t_table is 5.312 > 2.021 and the significance value is 0.05 then H_a will be accepted. The purpose of these results is to conclude that there is a significant difference between the post-test performance data for the experimental class and the control class. Therefore, this model has proven to be effective in writing biographical texts in class X at Karangpucung Darussalam Vocational School.

The stochastic SEIR model offers an innovative approach to understanding the spread of infectious diseases, particularly tuberculosis, in limited populations. This study adopts a stochastic model to capture random variability in individual interactions, often overlooked in deterministic models. The population is divided into four main categories: Susceptible (S), Exposed (E), Infected (I), and Recovered (R), with transitions between categories determined by probabilities based on epidemiological parameters. Through simulations, the model demonstrates its capability to depict more realistic patterns of disease spread, including fluctuations in case numbers and epidemic duration. The findings indicate that stochastic variability plays a crucial role in understanding the dynamics of tuberculosis transmission, especially in small populations or when the number of individual contacts is limited. The stochastic SEIR model can serve as an effective tool for policymakers to evaluate various intervention strategies, such as vaccination, transmission control, and treatment, as well as to design public health policies that are data-driven and adaptive to epidemiological uncertainties.

This research was motivated by the large number of students who scored below the KKM in the History of Islamic Culture subject at MTsS Thawalib Gunung Padang Panjang class VIII. To help solve this problem, researchers are interested in trying out a Reciprocal Learning learning model to improve student learning outcomes. This learning model will enable students to help students so that they are able to jointly use rational thinking skills and emotional awareness, to understand feelings, values, attitudes and behavior patterns. This research was conducted from November 8, 2023 to December 18, 2023. This research was an experimental study with a Randomized Control Group Posttest Only Design. The population in this study was class VIII MTsS Thawalib Gunung Padang Panjang. The sample was selected purposively from a certain population. Researchers chose class VIII C as the experimental class, and class VIII A as the control class. The instrument used is a test. To test the research hypothesis, the researcher used the t-test and processed the data using SPSS. Based on data analysis, the tcount results are greater than ttable. tcount is 3.180 and ttable is 1.679 with the average value of the experimental class being 84.38 and the control class being 72.57. So it can be concluded that the Reciprocal Learning learning model is effective on student learning outcomes in the Islamic Cultural History subject.    

Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the application of the Synthetic Minority Over-sampling Technique (SMOTE) to assess their performance. These algorithms included Random Forest (RF), K-Nearest Neighbors (KNN), Naïve Bayes (NB), Support Vector Machines (SVM), and Logistic Regression (LR). The methodology was implemented and tested through an API using Flask and Streamlit in Python. Before applying SMOTE, the RF classifier outperformed the others with an accuracy of 0.9802, while the accuracies for LR, KNN, NB, and SVM were 0.9219, 0.9435, 0.9508, and 0.9008, respectively. Conversely, after the application of SMOTE, RF achieved a prediction accuracy of 0.9919, whereas LR, KNN, NB, and SVM attained accuracies of 0.9805, 0.9210, 0.9125, and 0.8145, respectively. These results highlight the effectiveness of combining RF with SMOTE to enhance prediction accuracy in credit card fraud detection.

Marketing strategy is influential in providing satisfaction for service customers, including educational services. With a marketing strategy, it can encourage customer satisfaction for educational services. This research approach uses quantitative methods. The sampling technique in this study used Simple Random Sampling, which was as many as 34 students. The data collection technique is using a questionnaire. The data analysis technique used is simple linear regression. the following results of calculations using Microsoft excel equipped with SPSS 22 show the results of the study that there is an influence between marketing strategy (X) on customer satisfaction of education services (Y) at Raudhatul Athfal Darunnajah 2 Cipining, it is proven that the coefficient of determination of the summary model table value R square = 0.319, to determine the magnitude of the effect of variable x on variable y by 32%. So the results of the coefficient of determination show that 32% of marketing strategies contribute to customer satisfaction in education services, while the rest is 100% - 32% = 68% others are influenced by other factors.

This study aims to analyze the influence of Knowledge Management (KM) and motivation on employee job satisfaction and performance at the Population and Civil Registration Office of DKI Jakarta Province. The analytical method used is Partial Least Squares (PLS), a statistical approach capable of handling complex structural models with relatively small samples. Data collection method through a survey of 150 employees randomly selected from various work units at the Population and Civil Registration Office of DKI Jakarta Province. Using the Partial Least Squares (PLS) approach to test the relationships between variables, the survey instrument used has been validated and its reliability tested before distribution. The results of the analysis indicate that there is a positive and significant influence of Knowledge Management (KM) on employee motivation. Additionally, motivation also has a positive and significant effect on employee job satisfaction and performance. However, the direct influence of Knowledge Management (KM) on job satisfaction is not significant. The analysis also shows that there is a positive and significant indirect influence of Knowledge Management (KM) on employee performance through motivation. These findings provide practical implications for management at the Population and Civil Registration Office of DKI Jakarta Province in managing Knowledge Management (KM) and motivating employees to enhance their job satisfaction and performance. This study also contributes to the literature in the field of human resource management and Knowledge Management.

Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellent performance based on which reached 0.99. Evaluation of model performance using metrics such as MSE, and MAE measured by k-fold validation show that XGBoost has a high ability to predict crop yields accurately compared to other regression methods such as Random Forest (RF), Gradient Boost (GB), Bagging Regressor (BR) and K-Nearest Neighbor (KNN). Apart from that, an ablation study was also carried out by comparing the performance of each model with various features and state-of-the-art. The results prove the superiority of the proposed XGBoost method. Where results are consistent, and performance is better, this model can effectively support agricultural sustainability, especially rice production.

This research aims to produce a Financial Management Model Based on Financial Literacy and Financial Inclusion: A study of farming communities in Huntap Pombewe. Meanwhile, the research time until the completion stage is estimated to be approximately 6 months starting from October 2023 to March 2024. This research is basic research. The population and samples in this study were taken from 30 farmers in Huntap Pombewe through collaboration using a cluster sampling approach in 2 Huntap Pombewe sub-districts, as well as random sampling based on the criteria of type, duration and average level. business profits. Primary data collection was carried out using a survey method using a questionnaire. The data analysis technique used is descriptive statistical analysis and SEM-PLS with the help of Smart PLS software. The research results show that based on the results of data processing from the structural model, the results obtained show that the Financial Literacy variable has a significant positive effect on Financial Inclusion: A Study of the Farming Community in Huntap. Financial Literacy has a significant positive effect on Financial Management: Study of the Farming Community in Huntap Pombewe. Financial Inclusion has a significant positive influence on Financial Management, and Financial Inclusion can mediate positively Financial Literacy on Financial Management: Study of the Farming Community in Huntap Pombewe.

This study explores the role of sentiment analysis as a predictive tool for understanding and forecasting product launch success in the digital market. Sentiment analysis involves the classification of consumer sentiment expressed on social media platforms such as Twitter and Instagram, and it can significantly impact businesses by predicting consumer behavior and product performance. The research highlights the relationship between social media sentiment and product success, demonstrating that positive sentiment is strongly correlated with higher sales and consumer engagement, while negative sentiment can lead to declines. Machine learning models, including Support Vector Machines (SVM) and Random Forest, were employed to classify sentiment from large volumes of social media data and correlate it with product performance indicators such as sales volume and consumer interaction. The study found that sentiment analysis models were highly effective in predicting product success, with positive sentiment generally driving product profitability and negative sentiment posing a potential threat to brand reputation. Moreover, the analysis showed that social media sentiment provides real-time insights into consumer perceptions, enabling businesses to quickly adjust marketing strategies and product development plans. These findings underscore the importance of integrating sentiment analysis into product launch evaluations and strategic decision-making. Future research should explore the integration of sentiment analysis with other predictive market models and investigate the effects of fake reviews and post-purchase consumer behaviors on product success.

XYZ is a multi-disciplinary company operating in the fields of mining contracts, engineering, procurement and construction as well as oil and gas services. This business entity, which has been established since 1972, has a strong commitment to Occupational Safety and Health (K3) which has become a culture in every element of the company. Basically, K3 is an effort to prevent/avoid/reduce accidents by stopping/removing/eliminating risks (risks). K3 is one of the requirements for increasing employee work productivity, this is closely related to achieving work or production targets. This research was conducted at the company PT. XYZ in the Balikpapan area. The aim of this research is to measure the level of employee concern for K3, with the efforts that the company has made through the rewards system, digitalization and audio-visual campaign methods. The research population is employees of PT. XYZ in the Balikpapan area. Sampling was carried out using a two-stage multi-stage cluster random sampling technique. The first stage is separated based on department cluster; Asset Management, SHE, SCM, HCBS, and Finance. The second stage is PT employees. XYZ is separated based on work environment stratification; office and field. Respondent data was analyzed with SEM-PLS using Smart PLS 3.0 software. The model developed illustrates that the rewards system, digitalization and audio-visual campaigns have a positive influence on worker safety motivation and indirectly influence worker safety behavior through worker safety motivation which acts as a mediating variable. Meanwhile, work safety motivation has a positive effect on work safety behavior.    

Low student learning outcomes are influenced by several things, one of which is the learning media used. Innovation in the use of learning media is needed to improve student learning outcomes, especially in mathematics subjects. This makes researchers interested in conducting a wordwall games-based learning media experiment at SMP Negeri 06 Bandung. The purpose of this study was to determine the effectiveness of using wordwall learning media on improving student learning outcomes in mathematics subjects. The research method used is quantitative experiment with one group pretest-postest model with the population of class IX students of SMP Negeri 06 Bandung. The sampling technique uses cluster random sampling with the provision that students can access the browser as many as 18 students. Based on the N-Gain test, the average N-Gain value of 0.679056437 is included in the medium category and is quite effective. This shows that the use of Wordwall learning media has a significant impact on improving the mathematics learning outcomes of SMP Negeri 06 Bandung students.

The development of digital services cannot be separated from users' habits in using smartphones and the affordability of internet access. Smartphone users want services that can carry out various activities easily, including telecommunications. This opportunity was captured by telecommunications companies by creating provider applications for smartphones. In connection with this, PT. Telekomunikasi Indonesia Tbk (Telkomsel) launched a new provider product called by.U. The purpose of this research is to determine the factors that influence user satisfaction with the by.U application based on the End User Computing Satisfaction (EUCS) model from William J. Doll & Gholamreza Torkzadeh (1988) with six variables consisting of content, accuracy, format , ease of use, timeliness, and satisfaction. This research used simple random sampling with a total of 60 respondents who were residents of the city of Surabaya who used the by.U application. The research results show that the variables of content and timeliness have a direct effect on satisfaction. Meanwhile, the variables accuracy, format and ease of use have a positive but not significant effect on satisfaction. Timeliness is the factor that has the most influence on satisfaction seen from the results of hypothesis testing which produces the largest path coefficient value, which is 0.268.

This research aims to determine the influence of students' learning activities on the ability to understanding mathematical concepts through the STEAM Learning Approach Makerspace model based on PBL on SPLDV materials. As for the type of research Quasi-Experiments. The population in this study was 90 students who were distributed into 3 classes with 2 classes that sampled grades VIII A and VIII C. The sampling techniques in this study used randomized classes and data collection techniques in this study were tests and observations, while the research instruments used preliminary tests and final tests to measure the ability to understand mathematical concepts and observation sheets to see students' learning activities. Data analysis techniques using a two-way ANOVA test. The research showed that there is an influence of the PBL-based Makerspace STEAM Learning Approach model on the ability to understand mathematical concepts, there is no influence on students' learning activities on mathematical concept comprehension capabilities, and there is no interaction between the PBL-based Stem Learning Approach Makerspace model and student learning activities on the ability to understand mathematical concepts. Conclusion, there is a positive direct effect of cognitive structures on the ability to understanding mathematical concepts.

This study uses Structural Equation Modeling (SEM) and random and proportional stratification methods to determine how customer relationship management impacts customer satisfaction and customer loyalty in PT. Bank Rakyat Indonesia (Persero), Tbk Bener Meriah Sub-Branch Office. The number of samples used was 250 people. The results showed that customer relationship management had a significant effect on both customer satisfaction and customer loyalty at PT. Bank Rakyat Indonesia (Persero), Tbk Bener Meriah Sub-Branch Office. In addition, customer satisfaction serves as a partial mediator between the influence of customer relationship management on customer loyalty.