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The aim of this research is to determine the effect of using a guided inquiry learning approach on the development of critical thinking skills in sixth grade elementary school in Mathematics. This research uses a quantitative approach with the ex post facto method, namely the researcher does not control the variables, only takes data regarding the influence of the independent variable on the dependent variable. This research uses a quantitative approach and the analysis in this research uses descriptive and regression analysis. This research was motivated by teachers' difficulties in providing a good understanding of grade 6 elementary school mathematics learning material on the application of ratios in everyday life, namely scales. teachers' limited knowledge regarding the application of inquiry-based learning methods, as well as students' low critical thinking abilities in mathematics learning and their overall low academic achievement. The population in this study were 77 grade VI students at Wadungasri Elementary School, Waru District, Sidoarjo Regency, and a sample of 25 students was taken. Data collection techniques using questionnaires. Data processing techniques with validity testing using expert judgment techniques. Reliability test uses Alpha Cronbach. Analysis prerequisite tests are normality test and linearity test. The data analysis technique used is a simple regression test. Research results: the guided inquiry learning model has an effect on students' critical thinking skills by 1.673%.

The background of this study, based on the results of observations that have been conducted, highlights the need for adjustments between leaders and subordinates. The leadership style currently exhibited appears monotonous and requires further adaptation to achieve better synergy. The purpose of this research is to examine the influence of situational leadership applied by the Village Head on the work motivation of staff at the Masing Village Office, Lilirilau District, Soppeng Regency. This study employs a census method, where the data source includes the entire population as the sample, using questionnaires as the primary data collection technique. The sample in this research consists of 17 respondents. Data collection techniques include observation, questionnaires, and documentation. Data analysis techniques employed are descriptive quantitative analysis, correlation analysis, and simple regression analysis. Based on the analysis and discussion conducted, the writer concludes that The situational leadership of the Village Head of Masing falls into the very good category. The work motivation of staff at the Masing Village Office is also categorized as very good. Situational leadership positively influences the improvement of staff work motivation at the Masing Village Office. The findings of this study indicate that there is a positive influence of the Village Head's situational leadership on the work motivation of staff at the Masing Village Office, Lilirilau District, Soppeng Regency.

The research aims to determine whether there is an influence of compensation, work environment and work stress on employee performance at PT Mandiri Sumber Kemakmuran Simpang Cilegon Branch. The total population is 40 sales and marketing people at PT Mandiri Sumber Kemakmuran, all of whom were respondents in this research. Data was obtained using a questionnaire distributed to all sales and marketing at PT Mandiri Sumber Kemakmuran Simpang Cilegon Branch. The data analysis technique used in this research is multiple linear regression, which is operated using the SPSS Version 25 program. The result of this research show that there is a significant and positive influence of the compensation variables (X1), work environment  (X2) and work stress (X3) on employee performance (Y).

This study aims to analyze the influence of Tokopedia's e-commerce strategy and collaboration with the TikTok application on consumer purchasing interest. Using quantitative methods, data were collected through a survey with a questionnaire distributed to 90 respondents who are active users of Tokopedia and TikTok. The analysis technique used is multiple regression to test the relationship between the independent variables (Tokopedia's e-commerce strategy and collaboration with TikTok) and the dependent variable (consumer purchasing interest). The results of the study indicate that Tokopedia's e-commerce strategy has a positive and significant influence on consumer purchasing interest, as well as the collaboration between Tokopedia and TikTok which has proven to be significant in increasing purchasing interest. In addition, the simultaneous influence between the two variables shows stronger results than the individual influence. This study provides a practical contribution to the e-commerce industry in formulating more effective marketing strategies in the digital era.  

Abstract. From the perspective of Micro, Small, and Medium Enterprises (MSMEs), fluctuations in raw material prices are highly concerning as they can significantly impact business stability. While MSMEs may tolerate price fluctuations to some extent, from an industrial engineering perspective, such a passive approach contradicts the principles of continuous improvement. This study seeks to predict the price of large red chili peppers using five regression models implemented through Orange Data Mining: Linear Regression, Support Vector Machine, Decision Tree, k-Nearest Neighbors (kNN), and Gradient Boosting. Due to the limited availability of daily data, particularly within a daily timeframe, the study utilized weekly data spanning three years. The results of the Test and Score evaluation shows Gradient Boosting as the best-performing model, achieving a Mean Absolute Percentage Error (MAPE) of 0.7%. However, the MAPE for predictions in January 2025 increased to 15.8%. This error is expected to decrease as more weekly data becomes available to mitigate the inaccuracies inherent in this model. Keywords: prediction, red chilli, regression, supervised learning , orange data mining. Abstrak. Dalam perspektif UMKM, fluktuasi harga bahan baku adalah suatu hal yang paling ditakuti karena berakibat pada ketahanan usaha yang menjadi tidak menentu. Pada suatu kondisi, fluktuasi harga dapat diterima para UMKM, namun dalam perspektif teknik industri, sikap UMKM tersebut tidak sesuai prinsip continuous improvement. Penelitian ini mencoba untuk memprediksi harga cabai merah besar dengan menggunakan 5 model regresi dibantu Orange Data Mining. Yaitu Linear Regression, Support Vector Machine, Tree, kNN, Gradient Boosting. Data yang diperlukan sebagian besar tidak tersedia, khususnya dalam kerangka waktu harian sehingga penelitian ini menggunakan data mingguan selama 3 tahun. Hasil Test and Score menunjukkan model Gradient Boost terpilih menjadi model terbaik dengan tingkat MAPE 0.7% namun MAPE pada tahap Prediction di bulan Januari 2025 menjadi 15.8%. Error tersebut akan berkurang ketika data mingguan sudah cukup banyak untuk menambal kesalahan yang dihasilkan model ini Kata kunci: prediksi, cabai merah, regression, supervised learning , orange data mining.

The transition to college life often requires students to face various challenges and significant changes in their lives. Individuals who have a high level of subjective well-being tend to have the ability to assess life events in a more positive way. This study aims to analyze the relationship between religiosity and grit with subjective well-being in Psychology students at Universitas Islam 45 Bekasi. This study used a quantitative method involving 134 respondents who were determined using a non-probability sampling technique with a consecutive sampling method. Data collection was carried out using three psychological scales, namely the religiosity scale, the grit scale, and the subjective well-being scale, and the data analysis techniques applied included assumption tests using normality and linearity tests, as well as hypothesis tests using correlation tests and multiple linear regression analysis. The results showed that there was a significant positive relationship between religiosity and subjective well-being (r = 0.546, p <0.005), as well as between grit and subjective well-being (r = 0.738, p <0.005). Multiple linear regression analysis revealed that religiosity and grit together could predict 57.6% of the variance in subjective well-being (R2 = 0.576), (F(2,121) = 89.037), (p < 0.001), while the remaining 42.4% was influenced by other factors.

Turnover Intention influenced by a combination of individual, organizational, and work environment factors. In this context, psychological theories such as Herzberg's two-factor theory can help understand this dynamic by dividing factors that influence job satisfaction into motivators and hygiene factors. Motivators, such as recognition and achievement, contribute to higher job satisfaction, while hygiene factors, such as working conditions and management policies, play a role in preventing dissatisfaction. This study aims to explore the relationship between job satisfaction, job stress, managerial support, and employee engagement on turnover intention in various sectors. This study uses a quantitative approach with a Likert scale-based survey to collect data, which were analysed using Pearson correlation tests and multiple linear regression. The results showed that job satisfaction and managerial support have a significant negative relationship with turnover intention, while job stress shows a significant positive relationship. In addition, employee engagement through organizational citizenship behaviour (OCB) has been shown to reduce turnover intention even though the level of job satisfaction is low. This study provides practical implications for organizations to design employee retention strategies through stress management, increasing job satisfaction, and managerial support. This study contributes to the enrichment of the literature on human resource management, particularly in understanding the dynamics of turnover intention, and recommends further research with a longitudinal approach to validate the results in other sectors.

This study examines and analyzes the effect of Shopping Lifestyle, Fashion Involvement, and Discount Prices simultaneously and partially on Impulse Buying in the Zalora Marketplace. And knowing which variables are most dominant in influencing impulse buying. The research approach used in this research is quantitative research. The criteria for selecting the sample in this study were those aged 17 and over who had used and made purchases through the Zalora Marketplace, and had routinely purchased products for the last 6 months through the Zalora Marketplace and were located in the Jabodetabek area. Questionnaires collected as many as 150 respondents, the data is then processed using multiple linear regression method. Based on the results of the analysis, it is known that the variables Shopping Lifestyle, Fashion Involvement and Discount Price simultaneously have a positive effect on Impulse Buying on the Zalora Marketplace. Partially, the Shopping Lifestyle and Fashion Involvement variables have a positive effect on Impulse Buying. But the Discount Price variable has no effect on impulse buying. Furthermore, the results show that the Shopping Lifestyle variable is the most dominant variable affecting Impulse Buying.

Education is an important element in developing children's minds, especially in rural areas where education is often not a priority. The aim of this research is to analyze the impact of education on the way children think in Kalirejo Village, Kraton District, Pasuruan Regency. The method used was a quantitative design with a survey approach, with 22 randomly selected respondents. Information is obtained through surveys that assess educational variables and children's thinking patterns. The results show that the applied regression model shows satisfactory performance, with an R Square value of 0.634, which means that education can explain around 63.4% of the variation in children's thinking patterns. The t test results show that education has a significant influence on children's thinking patterns, with a significance value of 0.000. The impact of this research is the importance of increasing access and quality of education in rural areas, as well as the need for policies that encourage public awareness of the role of education in children's future. It is hoped that this research can become a reference for the government and related parties in designing more effective education strategies.

This study aims to determine the influence of cash management, receivables management and inventory management on the financial stability of food and beverage sub-sector companies listed on the IDX for the 2021-2023 period. The type of research is quantitative descriptive with the type of data used in this study is seconds data and data sources in the form of company financial statements published annually by each company. The sampling technique of this study was carried out through purposive sampling with predetermined criteria. The data analysis technique in this study uses classical assumption tests and also multiple linear regression methods. In the hypothesis test, a partial test (t-test), a simultaneous test (f-test) and a determination coefficient were used. The results of this study show that the influence of cash management, receivables management and inventory management on the financial stability of food and beverage sub-sector companies listed on the IDX for the 2021-2023 period partially or simultaneously has a non-significant effect. The value of the determination coefficient that is still influenced by other variables. This research was assisted by using  the Statistic for Social Science (SPSS) version 26 application to determine the level of significance of each hypothesis.  

This research aims to determine the analysis of service quality on customer satisfaction at the Tingkir Type A Terminal, Salatiga City. In this research, the objects taken were service users at the Tingkir Terminal. Data sources include primary and secondary data. The sample in this study was 100 service user respondents at Tingkir Terminal. Data collection was carried out using observation methods, literature studies, interviews, documentation and questionnaires. The data analysis technique is a multiple linear regression technique which is first tested through a questionnaire test (validity and reliability) and classical assumption tests (autocorrelation, heteroscedasticity, multicollinearity, normality). The results of the analysis using the statistical tools of the SPSS V.26 program obtained a multiple linear regression equation: Y = 2,637 + 0,170.X1 + 0,203.X2 + 0,180.X3 + 0,179.X4 + 0,171.X5 + μ. The results of the multiple linear regression equation show that the Tangible Variable (X1) has a tcount of 0.170 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Reability variable (X2) has a tcount of 0.203 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Responsive Variable (X3) has a tcount of 0.180 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The variable Emphaty (X4) has a tcount of 0.179 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Assurance variable (X5) has a tcount of 0.171 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. Based on the results of the study, conclusions can be drawn from multiple linear regression analysis and the distribution of respondents' answers regarding independent variables (Tangible, Reability, Responsive, Emphaty, Assurance) has an influence on the dependent variable (Customer Satisfaction).  

This research is motivated by the importance of understanding factors influencing employee performance, particularly at PT Air Minum Bandarmasih (PERSERODA) Banjarmasin. The study aims to analyze the effects of work behavior and workload on employee performance, both partially and simultaneously. This quantitative research employs a survey design with a population of 380 employees and a sample of 79 respondents selected using random sampling based on Slovin's formula. The data were analyzed using validity and reliability tests, classical assumption tests, linearity tests, multiple linear regression analysis, and hypothesis testing. The results reveal that work behavior and workload significantly affect employee performance, both individually and simultaneously. Positive work behavior enhances employee motivation, while a proportional workload supports employees in developing their potential. The implications of this study highlight the importance of organizational management in fostering productive work behavior and effectively managing workload to sustainably improve employee performance.

This study aims to analyze the effect of the Debt to Equity Ratio (DER) on the Net Profit Margin (NPM) of PT Astra International Tbk, listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. This research employs a descriptive quantitative approach using secondary data obtained from the company's annual financial reports. Data analysis techniques include descriptive analysis, Pearson correlation test, and simple linear regression. The results show a negative relationship between DER and NPM, with a correlation coefficient of -0.726, indicating that an increase in DER tends to be followed by a decrease in NPM. However, this relationship is not statistically significant, with a p-value of 0.483. Regression analysis results reveal that DER can only explain 52.7% of the variation in NPM, while the remaining percentage is influenced by other variables outside this research model. Therefore, although capital structure plays a role in influencing profitability, other factors such as operational efficiency and cost management also need to be considered to improve the company's financial performance.

This study aims to examine the influence of dividend policy, investment decisions, company growth, and profitability on the value of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the period 2020-2022. The company value is measured using the Price to Book Value (PBV) ratio, while the independent variables include dividend policy measured by the Dividend Payout Ratio (DPR), investment decisions using the Price Earnings Ratio (PER), company growth measured by asset growth, and profitability measured by the Net Profit Margin (NPM). This research utilizes a quantitative approach with multiple linear regression techniques to analyze secondary data obtained from the companies' annual financial reports. The findings indicate that dividend policy, investment decisions, company growth, and profitability simultaneously have a significant impact on the company's value. Partially, dividend policy, investment decisions, and company growth have a significant positive effect on company value, while profitability shows a more varied influence. These findings highlight the importance of company management in considering consistent dividend policies, strategic investment decisions, and effective profitability management to enhance company value and attract investors.

This study aims to analyze the effect of competence and organizational culture on employee development at PT. Midi Utama Indonesia Tbk Branch Makassar. Competence refers to the skills, knowledge, and attitudes possessed by employees, while organizational culture refers to the values, norms, and practices within the company. Employee development is the company's efforts to improve the quality of human resources through training, education, and career opportunities. This research uses a quantitative approach with a survey method, where data was collected through questionnaires distributed to employees at the Makassar branch. Data analysis was conducted using multiple regression techniques to test the simultaneous effect of competence and organizational culture on employee development. The findings indicate that to enhance employee development, PT. Midi Utama Indonesia Tbk Branch Makassar needs to focus on improving competence through appropriate training and fostering an organizational culture that supports innovation and learning. This study provides recommendations for the company to better optimize development programs that focus on competence and a positive work culture to improve employee quality.

This study aims to determine how much influence the work environment (X) has on job satisfaction (Y) at PT SEMEN BOSOWA MAROS. This type of research is quantitative. The data source was obtained from the PT Semen Bosowa Maros Office and the object of the study was carried out by distributing questionnaires to employees. The sampling technique used was a saturated sample where the entire population was 94 respondents. The results of the respondent study were tested with validity tests, reliability tests, partial tests (t-tests) data analysis techniques included descriptive analysis and simple regression analysis. Based on the results of statistical analysis to test the significance of the influence of the work environment on job satisfaction using the t test, it can be seen in table 4.11 that the calculated t value is 29.728, with a significance level of 0.000. Because the calculated t> t table (29.728,> 1.986) or the significance of t <5% (0.000 <0.05), then based on a simple analysis between the independent variable (X) work environment and the dependent variable (Y) job satisfaction, these results indicate that the work environment has a positive and significant influence on job satisfaction.  

The Influence Of Work Stress And Work Discipline On Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. Study Of Human Resource Management Program Stim-Lpi Makassar. Supervised By Supervisors Azhary Ismail And Rahmi Usman. This Study Aims To Analyze The Effect Of Work Stress And Work Discipline On Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. The Number Of Respondents In This Study Was 38 People, With The Implementation Of The Study Taking Place FromNovember 9, 2024 Until Completion. The Approaches Used Include Quantitative And Qualitative Approaches, With Data Analysis Techniques In The Form Of Multiple Linear Regression. The Results Of The Study Indicate That There Is A Significant Influence Between Work Discipline And Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. The Results Show That T Count Is 2.010, T Table Is 2.898, And The Significant Number Is 0.050 ≤ 0.05, Which Indicates That H0 Is Rejected And Ha Is Accepted.

This research examines the analysis of the influence of income inequality in a case study of 34 provinces in Indonesia for the 2017-2024 period. The method in this research uses panel data regression analysis, with secondary data obtained from BPS. In partial research results, the unemployment rate and poverty rate variables have a positive effect. significant to income inequality, while the variables HDI and Open Investment have a negative effect on income inequality, simultaneously the Unemployment Rate, HDI, Poverty Level and Open Investment together or simultaneously have a significant effect on income inequality.

With the rising demand in the food sector, particularly for ready-made spices, CV. Peduli Pangan, which focuses on producing sachets of pepper, has a notable chance for expansion. To address this demand, accurate forecasting of production is essential for guiding choices related to production planning. Forecasting is an important tool for decision-making that underpins various manufacturing and service sectors.This research aims to estimate the ideal production quantity of pepper sachets over the next 12 periods. Regression analysis is utilized to identify the best-fitting model based on the gathered data, facilitating an exploration of how important factors affect production. The resulting regression formula shows that the production levels are impacted by the cost of raw materials (HBB), product defects (PG), and workforce (TK). The constant figure of 11,109.687 signifies the fundamental production level when these factors are not considered. If all other factors are ignored, a decrease in production volume occurs when the raw material price (X1_HBB) is -0.15 and the defect rate (X2_PG) is -0.617. On the other hand, production volume rises if the labor factor (X3_TK) is valued positively at 37.317. This forecasting model is designed to aid CV. Peduli Pangan in making informed and precise production choices.

This study aims to analyze the effect of stress on emotional eating among whitewater rafting athletes in East Java. Stress, caused by the demands of competition and intensive training, often triggers emotional eating behavior, which involves overeating as a response to negative emotions. This research employs a quantitative approach with a cross-sectional design, involving 68 athletes from the East Java Whitewater Rafting Federation. Data were collected through an online questionnaire using a stress scale and an emotional eating scale. The results show that the majority of athletes (70.6%) experience high levels of stress, and most (39.7%) exhibit moderate levels of emotional eating. Regression analysis indicates a significant positive relationship between stress and emotional eating (p < 0.05), with stress contributing 9.2% to the variation in emotional eating. This study highlights the importance of stress management to prevent emotional eating, which can affect athletes' health and performance. Recommended stress management strategies include emotional regulation training and providing psychological counseling services.