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This study aims to examine the influence of the marketing mix on the sales volume at Senyala Space coffee shop, focusing on four independent variables: product, price, place, and promotion. The research method used is quantitative with a descriptive approach. The population of the study consists of Senyala Space customers from 2020 to 2024, and the sample was selected using nonprobability sampling and Slovin’s technique to determine a representative sample size. Data was collected through surveys and interviews with customers who visited Senyala Space during the specified period. Data analysis was conducted using several statistical tests, including validity testing, reliability testing, normality testing, linearity testing, multicollinearity testing, heteroscedasticity testing, and multiple linear regression analysis. Additionally, the coefficient of determination (R²), partial test (t-test), and simultaneous test (F-test) were used to examine the effect of independent variables on the dependent variable. All analyses were performed using IBM SPSS Statistics 23. The results show that the marketing mix significantly affects the sales volume at Senyala Space. Of the four marketing mix variables analyzed, price was found to have a significant negative effect on sales volume, indicating that an increase in price tends to decrease sales volume. On the other hand, the other three variables—product, place, and promotion—have a significant positive effect on sales volume. This suggests that improvements in product quality, strategic location selection, and effective promotions can increase sales at Senyala Space. These findings provide recommendations for Senyala Space’s management to enhance their marketing strategies by considering the factors influencing customer purchasing decisions, in order to boost sales volume in the future.

The high unemployment rate and low entrepreneurial interest among graduates of the educational program at the Faculty of Economics and Business, Unesa, is a concerning issue. According to the Tracer Study data from the educational program, only a small percentage of graduates choose entrepreneurship. The statistics show that 15% of business education graduates, 23% of office administration education graduates, and only 3% of economics education graduates choose to become entrepreneurs. This indicates a lack of interest in entrepreneurship among educational program students. This study aims to analyze the influence of entrepreneurship practice courses, risk perception, and family environment on entrepreneurial interest among students of the educational program at the Faculty of Economics and Business, Unesa. The study employs a quantitative approach with data analysis techniques using SPSS version 25. The sample consists of 148 undergraduate students from the 2021 cohort of the educational program who have taken the entrepreneurship practice course. The findings indicate that the entrepreneurship practice course, risk perception, and family environment have a significant partial influence on entrepreneurial interest. Simultaneously, these three independent variables significantly contribute to entrepreneurial interest among students, accounting for 85.6%, while the remaining 14.4% is influenced by other factors not covered in this study. This research provides important insights into how academic factors, risk perception, and support from the family environment can affect students' entrepreneurial interest. It is expected that the findings can contribute to enhancing students' understanding and skills in entrepreneurship, making them more prepared to enter the entrepreneurial world after graduation. Ultimately, the results of this study can help increase the number of entrepreneurs in Indonesia, which will help reduce unemployment rates and strengthen the economy.

This study aims to analyze the influence of quantitative analysis skills and statistical mastery on managerial decision-making among Management students in Bekasi. The background of this study is based on the importance of data literacy and analytical skills in supporting effective decision-making processes, especially amidst the increasing demand for data-driven businesses. This study used a quantitative approach with a census technique on 67 respondents. Data were collected through questionnaires and analyzed using multiple linear regression through classical assumption tests, partial tests (t-tests), and simultaneous (F-tests). The results showed that both quantitative analysis skills and statistical mastery have a positive and significant effect individually on managerial decision-making skills. Quantitative analysis skills, which include the ability to process data in numerical form and interpret it critically, have been shown to strengthen decision-making skills in various situations. Likewise, statistical mastery provides a foundation for analyzing data systematically and producing evidence-based decisions. Simultaneously, these two variables explain 60.8% of the variation in decision-making. These findings emphasize the importance of mastering quantitative and statistical skills for students in facing the complexity of decision-making in a professional environment. This study recommends strengthening the curriculum and providing practical data-based training to improve students' readiness for more informed and analytically sound managerial decision-making. Furthermore, it is recommended that students be given more opportunities to engage in case studies involving real-world data, as well as the use of statistical software that can accelerate the analysis and decision-making process. Improving data and statistical literacy will give students a competitive advantage in an increasingly data-driven business world.

The background of this research is the importance of pursuing knowledge based on good morals. The formation of Islamic character based on good morals is an important aspect that needs to be emphasized in students' lives, both in the school environment and in society. This is because good character is a reflection of the success of education, especially education based on Islamic values. However, at SMP Ma'arif NU 2 Kemranjen, several student behavioral problems were still found that indicate the suboptimal formation of Islamic character. Some students appeared unprepared when submitting memorization targets (deposits), were still outside the classroom when learning began, and arrived late to participate in the 0-hour habituation program. These problems indicate the importance of evaluating the effectiveness of the 0-hour habituation program that has been implemented by the school as an effort to form Islamic character. Therefore, this study aims to determine whether there is an effect of the 0-hour habituation program on the formation of students' Islamic character. This study used a quantitative approach with a descriptive survey method. The population in this study were all 107 eighth-grade students of SMP Ma'arif NU 2 Kemranjen from three classes. Data collection techniques were conducted through documentation of the 0-hour habituation program scores given by teachers and the Islamic character formation questionnaire completed by students. The data analysis technique used was descriptive statistics, with the calculation of averages, percentages, and data categorization. The results of the study indicate that the 0-hour habituation program did not have a significant impact on the formation of students' Islamic character. Nevertheless, this program is still being implemented because it is believed to have various benefits that can support the long-term character education process. This research contributes to schools in evaluating and developing more effective strategies for forming students' Islamic character.

This study aims to examine the influence of financial performance ratios—namely, the liquidity ratio (Current Ratio/CR), solvency ratio (Debt to Asset Ratio/DAR), and activity ratio (Total Asset Turnover/TATO)—on the return on assets (ROA) of companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) during the period 2020–2023. Employing a quantitative research approach with purposive sampling, the study focuses on automotive sector companies that met specific criteria over the observed time span. Data analysis was conducted using EViews version 13 software, and the methodology included descriptive statistics, panel data estimation, classical assumption tests, panel data regression analysis, t-tests (for partial effects), F-tests (for simultaneous effects), and coefficient of determination (R²) tests. The partial test results reveal that the liquidity ratio (CR) has a negative but statistically insignificant effect on ROA, indicating that higher liquidity does not necessarily enhance profitability. Similarly, the solvency ratio (DAR) demonstrates a negative and insignificant effect on ROA, suggesting that increased debt levels are not significantly associated with lower returns. In contrast, the activity ratio (TATO) has a positive and significant effect on ROA, implying that better asset utilization contributes positively to profitability. When tested simultaneously, the combination of CR, DAR, and TATO shows a positive and significant influence on ROA, indicating that these financial ratios collectively impact the profitability of automotive companies. These findings contribute to a deeper understanding of how internal financial indicators relate to profitability in the automotive sector and can inform management decisions and investor evaluations.

This study aims to develop a contextual learning-based mathematics test instrument focused on Statistics and intended for eighth-grade junior high school (SMP) students. The instrument developed consists of essay questions designed by integrating real-life situations to make them more relevant and meaningful for students. This contextual approach is expected to help students understand statistical concepts more deeply and improve their ability to solve mathematical problems related to everyday life. In the instrument development process, a series of analyses were conducted to test the quality of the test items, including validity, reliability, discriminating power, and difficulty level. The validity of the test items was tested using the correlation between item scores and total scores, with the results showing that all test items had a correlation coefficient greater than the r value of the table, thus being declared valid. Meanwhile, the reliability coefficient obtained was 0.84, indicating that this instrument has a high level of consistency and is suitable for use in measurement. Analysis of the discriminating power showed that each test item had excellent ability to differentiate students with high and low abilities. The analysis of the difficulty level showed balanced variations, namely from easy, medium, to difficult categories. This variation is important to accommodate differences in student ability levels and reflect the diversity in the context of the problems presented. Overall, the results of this study indicate that the developed test instrument is of excellent quality and can be used as an evaluation tool to measure students' mathematical problem-solving abilities. Furthermore, this instrument supports more contextual, interactive, and meaningful statistics learning.

This study aims to analyze the influence of business capital, product pricing, and the utilization of e-commerce on the income of micro culinary business actors in Denpasar City. The background of this research is based on the crucial role of micro enterprises in economic development, particularly in the culinary sector, which is one of the largest contributors to the Gross Regional Domestic Product (GRDP) of Denpasar City. Despite the sector's significant growth, increasing competition and uneven adoption of technology remain key challenges in improving business income. This study employs a quantitative approach with an associative research design. The population includes micro culinary business actors spread across the four districts of Denpasar City. The sample was determined proportionally using the proportionate stratified random sampling technique, and respondents were selected using accidental sampling to ensure broad representation. Primary data were collected through direct observation and structured questionnaires, while secondary data were obtained from relevant government institutions such as the Department of Cooperatives and MSMEs and the Central Statistics Agency. The data analysis technique used was multiple linear regression, supported by classical assumption tests (normality, multicollinearity, heteroscedasticity), the F-test to determine the simultaneous influence of the variables, and the t-test to analyze the partial influence of each independent variable on income. The findings indicate that simultaneously, business capital, pricing, and e-commerce significantly influence the income of micro business actors. Partially, each of these variables also shows a positive and significant effect. Business capital provides the foundation for operational activities, pricing affects consumer demand and competitiveness, while e-commerce broadens market reach and improves efficiency. These results highlight the importance of strategic financial management, appropriate pricing strategies, and the adoption of digital platforms to support income growth and sustainability of micro culinary enterprises in Denpasar City.

Instant noodles are a widely consumed fast food product, and consumer understanding of their nutritional content and potential health risks is thought to influence both attitudes and behaviors related to their consumption. Specifically, this understanding may affect how individuals meet their energy requirements—measured by the Recommended Energy Intake (REI)—through the consumption of instant noodles. This study aims to examine the relationship between knowledge and attitudes and the consumption practices of instant noodles among consumers at Warmindo K17 in Surabaya. A quantitative, cross-sectional research design was employed. Data were collected using a structured questionnaire distributed to 100 respondents selected through simple random sampling. Descriptive statistics, Spearman’s rank correlation, and Fisher’s exact tests were utilized to analyze the relationships between knowledge, attitudes, and consumption practices. The results indicated a statistically significant association between knowledge levels and consumption practices (p = 0.030), as well as between attitudes and consumption practices (p = 0.006), with both p-values falling below the 0.05 threshold. These findings suggest that higher levels of nutritional knowledge and more positive attitudes are associated with healthier instant noodle consumption practices. The study underscores the importance of enhancing public nutrition education to encourage healthier dietary behaviors. Furthermore, the findings may offer valuable insights for Warmindo business operators in developing more effective strategies for communicating product information to consumers.

This study aims to comprehensively analyze the influence of capital, labor, raw materials, and production processes on the income of woven cloth artisans in Klungkung Regency, Bali. The woven cloth industry in this region holds significant historical and cultural value, yet faces challenges in increasing productivity and income. The study employed a quantitative approach with an associative method, combining data collection techniques through direct observation, structured interviews, and secondary data collection from relevant government agencies. The study population consisted of 120 artisan groups, with a sample of 92 groups determined using simple random sampling. Data analysis was conducted using descriptive statistics to map the general conditions of the respondents, and path analysis using SPSS software to identify direct and indirect relationships between variables. The results indicate that capital, labor, and raw materials positively and significantly influence woven cloth production volume. Furthermore, capital, labor, raw materials, and production simultaneously have a significant direct influence on artisan income, with raw materials emerging as the most dominant factor. These findings confirm that the availability of quality raw materials, the quantity and skills of the workforce, and capital adequacy play a central role in improving production performance and artisan welfare. In addition to direct influences, this study also found an indirect effect of capital, labor, and raw materials on income through the mediation of production variables. This suggests that efforts to improve production factors can automatically strengthen income, both directly and through increased production output. The study's recommendations include the need for policies that facilitate access to capital, workforce training, and a sustainable supply of raw materials to support the sustainability of the woven fabric industry as a vital component of the local creative economy and Bali's cultural heritage.

In perceiving the quality of service, satisfaction, or image, a person would base the perception on the values felt by the patients. The research aimed at analyzing the influence of service quality on the reuse of inpatient services at Hospital X. This was an analitic survey research with the cross sectional study design. Responden taken as samples were as many as 120 people. Data collected through an interview, questionnaire, and documentation. Data were analyzed using the descriptive statistics analysis namely calculating the average, percentage, frequency tables and inferential statistics through the Chi-square test, multivariate analysis through the multiple logistic regression analysis. The research result indicates that the influence of service quality with the inpatient reutilization in general hospital X was significant, that is service quality of administration (p = 0,032), service quality of doctors (p = 0,001), service quality of nurses (p = 0,000), service quality of pharmacist (p = 0,000), service quality of instruments (p = 0,020), and quality service of treatment rooms (p = 0,009). The variable of the nurses service quality and pharmacist’s quality are the most influential variables on quality service with the inpatient reutilization.

The Human Development Index (HDI) is a crucial indicator for measuring the success of human development, encompassing the dimensions of education, health, and a decent standard of living. In Bali Province, disparities in the HDI among regencies/municipalities still exist, which may hinder the overall regional economic development. This study aims to analyze the influence of Domestic Investment, Foreign Investment, and Labor both simultaneously and partially on the Human Development Index during the 2016–2023 period. The data used are secondary data obtained from the Central Statistics Agency, comprising 72 observations. The data collection method employed is the observation method, and the analysis technique used is panel data regression. The results show that (1) Domestic Investment, Foreign Investment, and Labor simultaneously have a significant effect on the Human Development Index of Bali Province, and (2) Domestic Investment partially has no significant effect on the Human Development Index of Bali Province, while Foreign Investment and Labor partially have a positive and significant effect on the Human Development Index of Bali Province.

This study aims to examine the influence of the Gini Ratio, Human Development Index (HDI), and Labor Force Participation Rate (LFPR) on the open unemployment rate in Lampung Province during the 2019–2023 period. The method used in the analysis is a fixed effect model approach with panel data regression, based on secondary data obtained from the Central Statistics Agency (BPS) of Lampung Province. The results of the partial test (t-test) indicate that the three independent variables—the Gini ratio, HDI, and LFPR—do not have a significant effect individually on the open unemployment rate in the region. However, the adjusted coefficient of determination (adjusted R²) value of 88.95% indicates that the model can explain almost all the variation that occurs in the open unemployment rate. This shows that although these variables are statistically insignificant in the model, theoretically they still have an important role in explaining unemployment dynamics in Lampung, along with other factors not yet included in the model. This research provides a strong basis for further analysis in formulating unemployment reduction policies, particularly in regions with economic and social characteristics such as Lampung. Recommendations from this study point to the need for a more comprehensive policy approach that considers other macroeconomic variables such as investment, industrial sector growth, and the quality of education and job training to effectively and sustainably reduce unemployment at the regional level.

Based on data from the Central Statistics Agency (BPS) from 2021 to 2023, the crime rate in Indonesia increased by 345,510 cases. This increase indicates social problems, particularly in the economic sector. Factors such as high unemployment, high poverty rates, and low minimum wages are the main causes driving crime. When people's basic needs are not met, the potential for deviant behavior to meet their living needs tends to increase. This study aims to analyze the influence of unemployment, poverty, and the Provincial Minimum Wage (UMP) on crime rates in Indonesia, both partially and simultaneously. The study uses a quantitative approach with secondary data sources obtained from official BPS publications. The data used is panel data, namely a combination of time series (time span) and cross-section (across regions/provinces) data for the period 2021–2023. Data analysis was performed using a panel data regression model with a Fixed Effect Model (FEM) approach after undergoing the Hausman Test. The results show that partially, the three variables—unemployment, poverty, and the UMP—have a significant influence on crime rates. Simultaneous testing also showed that collectively, these three variables significantly influence the crime rate. Furthermore, the coefficient of determination (R²) test result of 93.5% indicates that unemployment, poverty, and the minimum wage (UMP) variables are able to explain most of the variation in crime rates in Indonesia during the study period, while the remaining 6.5% is influenced by other variables not included in the model. This finding emphasizes the importance of improving the economic conditions of the community through job creation, poverty alleviation, and minimum wage adjustments as preventative measures to reduce crime rates in Indonesia.

This quantitative study seeks to ascertain the impact of organizational culture and leadership style on the work motivation of the “Melati Muda” mosque youth group in Suryowijayan, Yogyakarta.  The research had 46 active participants chosen through purposive sampling.  Data were gathered via questionnaires employing a Likert scale.  “The data were examined with multiple linear regression through IBM SPSS Statistics 26. The t-test results indicated that leadership style has a considerable impact on work motivation, although organizational culture does not have a meaningful partial influence.  The F-test demonstrates that both factors collectively exert a considerable influence on work motivation.  The Adjusted R Square value of 0.215 signifies that the independent variables account for 21.5% of the variance in work motivation, whilst the remaining 78.5% is affected by factors not analyzed in this study.  These findings underscore the significance of proficient leadership in augmenting motivation within faith-based youth groups.

This study investigates the impact of education on the economic empowerment of women in Lampung Province during the 2019 to 2023 period. Despite advancements in educational access, significant gender disparities persist in Indonesia, particularly in Lampung, affecting women's participation in the workforce and political decision-making and contributing to wage gaps. This research aims to analyze how different levels of education influence women's political participation, their involvement in the labor force, and the proportion of their wages relative to men. Employing a quantitative descriptive approach with panel data regression analysis, the study utilizes secondary data from the Central Statistics Agency (BPS) and the National Labor Force Survey (SAKERNAS) across 15 regencies/cities in Lampung. Key findings reveal that while higher education (university level) significantly boosts women's labor force participation and wage proportion, secondary education (SMA) plays a more dominant role in fostering political engagement. Furthermore, the study confirms a persistent gender wage gap, with men's participation having a larger impact on wage proportion. These results underscore the critical role of education in women's empowerment and advocate for targeted policies to enhance educational access, promote equitable wages, and address systemic discrimination to achieve sustainable gender equality in Lampung

This study aims to analyze the effect of career development on organizational citizenship behavior (OCB), mediated by employee engagement, with a case study at Prama Sanur Beach Bali. A saturated sampling technique was used, with the total population of 104 employees serving as the sample. The research method employed was a survey using questionnaires and interviews, analyzed through descriptive statistics and inferential statistical tools using Structural Equation Modeling - Partial Least Squares (SEM-PLS). The results indicate that career development has a positive and significant effect on organizational citizenship behavior. Career development also has a positive and significant effect on employee engagement. Moreover, employee engagement has a positive and significant effect on organizational citizenship behavior and mediates the relationship between career development and organizational citizenship behavior.  

This research aims to describe the ability to recite poetry by Taufik Ismail, a class XII student at MAN 1 Makassar City. The research method used is quantitative descriptive. The population in this study was all class XII MAN 1 Makassar City. The sample for this research was 35 people from class XII MIPA 1 using saturation sampling. Data collection techniques used declamation tests and observation sheets. The data analysis technique uses descriptive statistics. The results of this research show that Taufik Ismail's ability to recite poetry was declared capable with the average recapitulation classification score in the range of 70-84, namely 70.34. There were 4 students who got the very capable category with a score of 85-100 (12%), 18 students who got the capable category with a score of 70-84 (51%), 4 people (12%) who got the moderately capable category with a score of 60-69, 4 people (12%), the sample who got the less able category with a score of 50-59, 5 people (14%), and 4 people (11%) who got the less capable category with a score of 0-49. Students who get the very capable category and the capable category are categorized as capable. There were 22 students who received the capable category (63%) and 13 students who received the unable category (37%). So, it can be concluded that the ability to recite the Taufik Ismail poetry of class XII MAN 1 Makassar City students is categorized as capable.

This study aims to determine how much the effect of capital structure and profitability on earnings quality at PT Unilever Indonesia Tbk for the 2019-2023 period using secondary data accessed through www.unilever.co.id with a sampling method using purposive sampling technique. The data analysis method is quantitative analysis using descriptive statistics. The results showed that Capital Structure partially had no effect on Earnings Quality. This result is obtained from the t test results on the Capital Structure variable showing a significance level of 0.066 and a t value of 1.967 < t table 2.10982. Meanwhile, Profitability partially affects Earnings Quality. This result is obtained from the t test results on the Profitability variable showing a significant level of 0.009 and a calculated t value of 2.967 < t table 2.10982. The effect of Capital Structure and Profitability simultaneously / together on Earnings Quality at PT. Unilever Indonesia Tbk 2019-2023 where based on the F test, the calculated f value is 8.979 with a significance value of 0.002. While f table 3.55. Then f count is greater than f table.

Methane gas detection is crucial in the oil and gas sector to enhance safety and operational efficiency. This study examines the impact of three types of gas detectors—catalytic, infrared, and ultrasonic sensors—on accuracy and response time. The research was conducted at PT PHM's onshore and offshore sites to evaluate sensor performance in operational environments. A quantitative approach with direct field observation was used. Data were collected by measuring methane gas concentrations indicated by detectors, which were then compared to standard gas concentrations. Response times were recorded when the detectors were exposed to methane concentrations of 2.5% LEL until the alarm triggered at 40% of full scale. Data analysis was performed using descriptive statistics, homogeneity test, normality test, ANOVA, and post hoc tests. The results show that the infrared detector had a response time of 2.87 seconds with an accuracy of 0.218%. The catalytic detector had a response time of 8.91 seconds and accuracy of 0.489% and the ultrasonic detector had a response time of 6.15 seconds and accuracy of 0.842%. Overall, the infrared detector demonstrated the best performance in response time and is recommended for use at PT PHM.

Customer loyalty is a commitment held by individuals or groups to buy or support a product or service again on an ongoing basis. The purpose of this study was to determine the effect of social media marketing and customer experience on customer loyalty in customers of Yong Bengkalis Coffee Shop in Pekanbaru. The population of this study were 14,095 customers and a sample of 99 respondents was obtained using purposive sampling technique. This research uses quantitative methods and descriptive statistics with explanatory research models using SPSS 30.0 tools. The output results of data processing state that partially social media marketing has a significant effect on customer loyalty, customer experience has a significant effect on customer loyalty and simultaneously social media marketing and customer experience have a significant effect on customer loyalty in customers of  Yong Bengkalis Coffee Shop in Pekanbaru.