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This study aims to determine the influence of affiliate marketing programs, price, and promotion on purchasing decisions for Mezuca perfume on TikTok Shop. As the digital era advances, social media platforms like TikTok serve not only as entertainment platforms but also as effective channels for marketing products through the TikTok Shop feature and affiliate programs. This strategy allows content creators to act as sales partners, directly influencing consumer decisions. This quantitative study utilizes primary data obtained through questionnaires distributed to 180 respondents who had purchased Mezuca perfume through Mamnun's TikTok Shop account. After a selection process using purposive sampling, 160 respondents met the criteria and were eligible for analysis. Data analysis was performed using SPSS software with various statistical tests, including descriptive statistics, validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F-tests, and coefficients of determination (R²). The results indicate that affiliate marketing programs, price, and promotion simultaneously have a positive and significant effect on purchasing decisions. Partially, these three variables also show a significant positive influence on consumer decisions. These findings indicate that implementing effective digital marketing strategies, particularly through affiliate marketing, competitive pricing, and engaging promotions, plays a significant role in increasing consumer purchasing interest on social media platforms. This research offers practical implications for businesses in designing optimal and targeted digital marketing strategies.

This study investigates the differences in customer satisfaction levels toward the services of Bank Syariah Indonesia by employing a nonparametric statistical approach. Customer satisfaction is a critical benchmark in Islamic banking, as it not only reflects the quality of services but also the extent to which sharia compliance is embedded in financial practices. Given that satisfaction data are generally ordinal and may not fulfill the assumptions of normal distribution, nonparametric methods such as the Kruskal-Wallis and Mann-Whitney tests were selected as the primary analytical tools. This research adopts a qualitative library-based method by reviewing relevant literature, scientific articles, and previous empirical studies to construct a comprehensive understanding of customer satisfaction measurement within Islamic banking. The findings highlight that variations in satisfaction are influenced by multiple factors, including service speed, staff friendliness, accessibility of digital platforms, and clarity of sharia principles applied in daily operations. Results further suggest that demographic characteristics and service usage frequency significantly shape satisfaction differences across customer groups. Theoretically, this study enriches the body of knowledge on the application of nonparametric statistics in Islamic banking research, while practically, it provides actionable insights for Bank Syariah Indonesia in formulating adaptive service strategies. These contributions are expected to assist the bank in strengthening customer loyalty, enhancing competitiveness, and sustaining growth in the dynamic modern banking industry. Theoretically, this study enriches the body of knowledge on the application of nonparametric statistics in Islamic banking research, while practically, it provides actionable insights for Bank Syariah Indonesia in formulating adaptive service strategies. These contributions are expected to assist the bank in strengthening customer loyalty, enhancing competitiveness, and sustaining growth in the dynamic modern banking industry.  

Science education at the junior high school level demands learning strategies that encourage active student engagement as well as enhance conceptual understanding. The low learning outcomes of students in the science subject of ecosystem materials emphasizes the need for learning innovations that focus on student activities. This study aims to evaluate the effectiveness of the Problem Based Learning (PBL) learning model in improving the learning outcomes of grade VIII students of SMP Negeri 1 Tumpaan. The research was conducted in the form of Classroom Action Research with two cycles, each of which included the planning, implementation, observation, and reflection stages. The subjects of the study were 30 students of grade VIII. The research instrument is in the form of learning outcome tests given at the pre-cycle stage, post-test cycle I, and post-test cycle II. Data were analyzed using descriptive statistics and repeated measurement tests to ascertain the significance of improving learning outcomes. The results showed an increase in students' average scores from 58 in the pre-cycle to 75.33 in the first cycle, and 79.5 in the second cycle. The percentage of learning completeness also increased from 20% to 66.67% in the first cycle, and reached 80% in the second cycle. Repeated measurement analysis showed significant differences between stages with strong positive correlation values. These findings confirm that PBL is effective in improving science learning outcomes, encouraging active student involvement, and improving the equitable distribution of achievement in the classroom. This research has implications for the importance of implementing PBL as an innovative learning strategy in junior high schools to support the achievement of science literacy and 21st century skill development

This study investigates the relationship between leg muscle power and the effectiveness of volleyball smash performance among players aged 16–18 years at Jaya Volleyball Club (JVC) Lubuklinggau. Volleyball is a sport that requires a combination of physical strength, technical mastery, and tactical coordination, with the smash being one of the most decisive offensive techniques. The research was motivated by the observation that many junior athletes at JVC had not yet maximized their smash performance, particularly in terms of accuracy and power, which are strongly influenced by leg muscle explosiveness. The study employed a quantitative approach using purposive sampling with 35 participants selected from a population of 60 athletes. Leg muscle power was measured using the vertical jump test, while smash ability was assessed using a structured volleyball smash test. Data analysis was conducted with SPSS version 23, including descriptive statistics, normality tests using the Kolmogorov-Smirnov method, and Bivariate Correlation analysis (two-tailed). The results revealed a correlation coefficient (r) of 0.652, with a significance value of 0.000 (<0.05), indicating a statistically significant and strong relationship between leg muscle power and smash performance. These findings confirm that explosive power in the legs contributes greatly to the ability of young volleyball players to execute effective smashes. Athletes with higher vertical jump capacity tend to produce more accurate, powerful, and successful smashes, thereby increasing their contribution to team performance. The results emphasize the importance of integrating targeted leg muscle power training into volleyball coaching programs. Coaches and clubs are encouraged to design structured strength and plyometric training regimens to optimize players’ performance. Furthermore, this study provides valuable insights for athlete development programs and contributes to the broader understanding of physical conditioning in volleyball.

This study aimed to determine the influence of leadership style and the internal control system on the prevention of fraud in village fund management in Tana Duen Village, Kangae District, Sikka Regency. The research employed a quantitative analysis technique with data obtained from primary sources through the distribution of questionnaires. The population consisted of all village officials and community members in Tana Duen Village, Kangae District, Sikka Regency. The sampling technique used was saturated sampling, with a total sample of 40 respondents. Data were analyzed using multiple linear regression with IBM SPSS Statistics 26. The Result showed that leadership style had a significant effect on the prevention of fraud in village fund management. The internal control system also had a significant effect on fraud prevention efforts. Furthermore, the combination of leadership style and internal control system significantly influenced the prevention of fraud in village fund management.  

Marketing management has a strategic role in maintaining the sustainability of the company, especially in the midst of market dynamics and social issues that affect consumer behavior. One of the issues that had an impact was the Boycott, Divestment, and Sanctions (BDS) movement against products that were associated with supporting Israel, including PT Unilever Indonesia Tbk. This study aims to analyze the influence of loyalty and brand image on Unilever product purchase decisions after the boycott in the South Jakarta area. The research method used was quantitative statistics with a survey approach of 100 respondents. Data collection techniques include observation, interviews, and questionnaires. The results of the analysis showed that consumer loyalty had a significant effect on purchasing decisions (Thcal = 3.538 > Ttable = 1.984; sig = 0.001 < 0.05). Brand image also showed significant influence (Thcal = 4.032 > Ttable = 1.984; sig = 0.000 < 0.05). Simultaneously, both variables had a significant effect on purchasing decisions (Fcal = 63.849 > Ftable = 3.09; sig = 0.000). A determination coefficient value (R²) of 0.568 indicates that loyalty and brand image together influence 56.8% of consumer purchase decisions. These findings provide important implications for the company's marketing strategy in responding to social issues and maintaining consumer trust through strengthening loyalty and brand image.

Hypertension is a non-communicable disease that significantly contributes to morbidity and mortality, particularly among the elderly. Patient knowledge about hypertension plays a crucial role in determining their adherence to medication, especially in taking antihypertensive drugs regularly. This study aims to analyze the relationship between the level of hypertension knowledge and medication adherence in elderly patients at the Sultan Agung Islamic Hospital Banjarbaru Polyclinic. This study used a quantitative correlational approach with a cross-sectional design. A sample of 35 respondents was obtained using accidental sampling technique. Data were collected using standardized questionnaires to measure knowledge (correct/incorrect scores) and adherence (using the modified MMAS-8 score 0–8). Data analysis included descriptive statistics, chi-square test, and Odds Ratio (OR) calculation at α = 0.05. The results showed a significant relationship between the level of knowledge and medication adherence (p = 0.002). The OR value of 17.33 (95% CI: 2.17–138.18) indicates that elderly patients with low knowledge have a much higher chance of non-adherence to medication compared to those with good knowledge. Based on these findings, it is recommended to develop targeted educational programs for the elderly focusing on increasing knowledge about hypertension and the importance of medication adherence, along with involving families to support medication adherence in hypertensive patients. This educational program could help improve the quality of life for the elderly by better managing hypertension.

This research investigates the relationship between fiscal decentralization, economic growth, and income inequality (measured by the Gini ratio) on the Human Development Index (HDI) in regencies and cities within Bali Province during the 2013–2023 period. Human development is a crucial indicator of regional welfare, and understanding the factors that shape HDI is essential for designing effective regional development policies. A quantitative approach was employed through panel data regression, utilizing secondary data sourced from the Central Bureau of Statistics (BPS). The findings indicate that fiscal decentralization has a positive and significant effect on HDI, suggesting that greater regional fiscal authority can improve public service delivery and social welfare. Conversely, economic growth demonstrates a significant negative relationship with HDI, which implies that growth alone does not automatically translate into improved human development, particularly when it is unevenly distributed. In addition, income inequality shows a negative and significant effect on HDI, confirming that disparities in income hinder broader improvements in welfare. Collectively, these variables significantly explain variations in HDI across regencies and cities in Bali. The policy implications emphasize the need to strengthen regional fiscal capacity, reduce income inequality, and encourage inclusive economic growth to ensure that economic progress contributes effectively to enhancing human development.

This study aims to analyze the factors influencing the success of development in Kesiman Kertalangu Village. The factors examined include village institution revenue, labor force, investment, and community participation. Development, in general, can be defined as efforts to enhance the productivity of resources owned by a region, such as natural resources, human resources, and financial resources. However, development in Kesiman Kertalangu Village faces challenges, namely changes in economic structure and land use conversion, which impact the regional development. This research employs a quantitative approach with multiple linear regression analysis to examine the relationship between independent variables (village institution revenue, labor force, investment, and community participation) and the dependent variable (village development success). The data used are secondary time series data collected annually from 1995 to 2024. Data were gathered through literature review by obtaining information from credible official sources, including government agencies, the Central Bureau of Statistics, and the Kesiman Kertalangu Village Office. Data analysis was conducted using Eviews 12 software. The results indicate that village institution revenue, labor force, investment, and community participation simultaneously have a significant effect on the success of development in Kesiman Kertalangu Village. Moreover, labor force, investment, and community participation have a positive and significant partial effect on development success, while village institution revenue has a positive but not significant partial effect. The findings also reveal that investment is the most dominant factor influencing the success of development in Kesiman Kertalangu Village. Theoretically, the finding that investment has a dominant influence on the success of Kesiman Kertalangu Village development strengthens the Solow growth model, Robert Chambers' participatory theory, and Amartya Sen's capacity building concept. Practically, the research results provide strategic direction for village governments and stakeholders in designing participation- based development policies, increasing fiscal capacity, and empowering local workers.

This study investigates the influence of employee engagement, digital training, and reward systems on employee productivity at the Central Statistics Agency of Kediri Regency. The research adopts a quantitative approach with a questionnaire as the primary data collection tool. A total of 33 employees participated as respondents, determined using a saturated sampling technique, which ensures that all members of the population were included. The instrument utilized was a Likert-scale questionnaire, designed to capture perceptions and experiences related to engagement, training, and rewards. The data were analyzed using multiple linear regression to measure both the partial and simultaneous effects of the independent variables on productivity. The results reveal that employee engagement plays a significant role in enhancing productivity, with a significance value of 0.003. Similarly, digital training and reward systems also exert a positive and significant influence, with significance values of 0.037 and 0.0002, respectively. When tested simultaneously, the three independent variables collectively demonstrate a substantial impact on employee productivity, as evidenced by an F-value of 76.069. Furthermore, the Adjusted R Square value of 87.6% indicates that the research model possesses strong explanatory power, meaning that most variations in productivity can be explained by employee engagement, digital training, and reward systems. These findings highlight the strategic importance of integrating engagement initiatives, continuous digital skill development, and fair reward mechanisms to foster higher levels of productivity. For organizations, particularly government institutions, the study underscores the necessity of adopting a holistic human resource development framework that addresses both intrinsic and extrinsic motivational factors to maximize employee performance.

Type 2 Diabetes Mellitus (T2DM) is a chronic condition that requires optimal adherence to pharmacological treatment to prevent disease progression and complications. This study aims to analyze the level of adherence to anti-diabetic medication among T2DM patients and to explore the association between the experience of medication side effects and adherence levels. A descriptive-analytic cross-sectional design was employed, involving 97 T2DM patients in Bandung Regency and Bandung City, Indonesia. Data were collected through structured questionnaires and analyzed using descriptive statistics and the Chi-Square test. The results revealed that 53.6% of respondents exhibited low medication adherence. The majority reported having diabetes-related complications (88.7%) and experiencing medication side effects (57.7%). A significant positive association was found between medication side effects and adherence level (p = 0.039), indicating that patients who experienced side effects tended to be more adherent. Demographic factors such as place of residence, gender, and age showed no significant association with adherence. The findings suggest that side effects may hinder adherence; however, awareness of the body’s response to medication, including side effects, may also serve as a motivator for adherence.

This research motivation is the researchers' observations regarding turnover intention at the Yuan Garden Hotel, Pasar Baru. Job insecurity and job stress are factors that influence turnover intention at the Yuan Garden Pasar Baru Hotel. The research purpose is to reveal and describe the job insecurity impact and job stress on turnover intention at the Yuan Garden Pasar Baru hotel. This type of research is quantitative descriptive with a sampling technique using purposive sampling and a sample size of 60 respondents based on a saturated sampling formula. The technique for data collection in this research uses a questionnaire with a Likert scale which has been tested for validity and reliability. The collection for is analyzed using multiple linear regression analysis with the support by SPSS (Statistics Product and Service Solution) calculation tool version 27.00. Based on the analysis results, conclusions shown on the t-test results, for the variable job insecurity (X1) with a level of significant is 0.001 < 0 .05, meaning there is a significant influence of job insecurity on turnover intention. Meanwhile, the t-test results for the job stress variable (X2) have a level of significance is 0.393 < 0.05, meaning that job stress has no significant effect on turnover intention. Based on the f-test with a level of significance is 0.000 < 0.05, this means that simultaneously job insecurity (X1) and job stress (X2) have a significant effect on turnover intention. The job insecurity (X1) and job stress (X2) variables influence the turnover intention (Y) variable by 37.6% while the remaining 62.4% is influenced by other variables.  

This study aims to analyze the effectiveness of zakat in reducing income inequality in Indonesia. The data used is secondary data from the National Amil Zakat Agency (BAZNAS) and the Central Statistics Agency (BPS) for the 2015–2024 period. The research method used multiple linear regression with the Ordinary Least Squares (OLS) approach. The results showed that the distribution of zakat had a significant positive effect on the Gini Index (β = 0.0013511; p = 0.002), while the Gross Domestic Product (GDP) per capita had a significant negative effect (β = –0.0000198; p = 0.000). An Adjusted R² value of 0.91 indicates that the model has a very strong ability to explain variations in income inequality. These findings show that although the collection and distribution of zakat has increased from year to year, its impact on reducing inequality has not been optimal. This can be caused by the limited amount of zakat funds collected compared to the real needs of the community and the distribution that is not fully on target. On the other hand, economic growth reflected in the increase in GDP per capita has proven to be still the dominant factor in reducing income inequality in Indonesia. The implications of this study emphasize the importance of optimizing zakat management so that it not only functions as a philanthropic instrument, but also as a sustainable economic instrument. BAZNAS and related institutions are expected to be able to strengthen the zakat distribution system through productive economic empowerment programs, so that zakat can make a real contribution in reducing inequality and supporting more inclusive development in Indonesia.

This research uses a quantitative approach with a survey method involving employees of PT Sepulsa Technology Indonesia. At this start, 60 respondents were taken as samples. The study uses SmartPLS 4.0 statistics to test the hypothesis. The results of the analysis showed that the workload variable has a negative and non-significant influence on the turnover intention, the work stress has a positive and significant influence upon the turnover intentions, the working environment has a negative and insignificant effect on turnover intention, the load of work, work stres, and the work environment have a significant simultaneous influence over the turnover intention. This research has the accuracy of research objects that are carried out only by employees of PT. Sepulsa Technology Indonesia. The innovation in this research combines variables of workload, work stress, and work environment against the turnover intention of employees of PT. Sepulsa Technology Indonesia.

One approach the government employs to decorate public welfare, mainly among low-income families, is through social help initiatives. however, the subjectivity inside the choice process regularly ends in mistargeting all through implementation. This observe objectives to apply the ok-Nearest Neighbor (ok-NN) and Naive Bayes algorithms inside a decision support device to perceive eligible recipients based on community statistics. The ok-NN algorithm determines similarity by calculating the Euclidean distance among new and current facts, whilst the Naive Bayes set of rules utilizes a probabilistic method based at the likelihood of attribute incidence inside each elegance. Key criteria considered consist of household income, employment kind, number of dependents, housing conditions, and asset possession. Experimental consequences reveal that each algorithms are powerful in as it should be classifying eligibility for help, with k-NN barely outperforming Naive Bayes. therefore, the combination of these algorithms can support stakeholders in making extra goal and efficient selections regarding the distribution of social useful resource.

This study aims to analyze the application of the Project-Based Learning (PjBL) model to improve students’ creativity in Social Studies and to measure its effectiveness in enhancing creative learning outcomes. The research was conducted as a Classroom Action Research (CAR) across two cycles during the even semester of the 2024/2025 academic year, involving 30 fifth-grade students at SD Inpres Barombong 2. Data were collected through observation, questionnaires, and documentation, while analysis employed descriptive statistics for quantitative data and reduction–triangulation techniques for qualitative data. The creativity indicators examined included fluency, flexibility, originality, and elaboration. Findings reveal that the implementation of PjBL significantly enhanced students’ creative thinking skills, as evidenced by an overall increase in average scores across all creativity indicators. Furthermore, the effectiveness of the PjBL model was reflected in the improved implementation of its instructional syntax, progressing from the “Moderate” category in the initial cycle to “High” and eventually “Very High” in the subsequent cycle. These outcomes confirm that PjBL promotes active, student-centered, and collaborative learning that fosters creativity in Social Studies. The study concludes that continuous implementation of PjBL is essential for cultivating creativity in elementary classrooms and suggests further research to explore its applicability in different contexts and educational levels.

Passing is a fundamental skill that is crucial in soccer because it plays a role in maintaining ball possession, controlling tempo, and creating scoring opportunities. However, in practice, many young players still struggle to pass correctly, both in terms of foot technique, strength, and accuracy of the ball's direction. Technological advancements in the world of sports offer various learning alternatives, one of which is through video feedback. This technology allows players to review their movements, making it easier to identify technical errors and make systematic improvements. Therefore, this study was conducted to determine the effect of video feedback on improving passing skills in young players. This study used an experimental method with a one-group pretest-posttest design. The subjects were 20 SSB Merpati Cerih U-14 players selected using a total sampling technique. The research instrument was a passing skills test administered before and after treatment. The test data were analyzed using descriptive and inferential statistics to measure the difference in average passing skill scores before and after the video feedback application. The results showed a significant improvement in passing ability after players received video feedback training. Players were able to correct technical errors, such as body position, leg swing, and pass direction. Visualizing movements directly through video recordings helps players more quickly identify weaknesses and correct them in subsequent training sessions. In conclusion, the application of video feedback technology has proven effective in improving basic passing skills in SSB Merpati Cerih U-14 players. This approach makes the learning process more interactive, motivates players, and optimizes training results. The application of similar technology is highly relevant to support achievement development in youth soccer.

This study investigates the influence of economic growth, investment, and minimum wage on the open unemployment rate across districts and cities in East Kalimantan Province. The research employs a quantitative descriptive approach with panel data regression analysis, processed using EViews 13 software. Model selection was carried out through the Chow and Hausman tests, which identified the Fixed Effect Model (FEM) as the most appropriate estimation technique. The study utilizes secondary data from 2018 to 2024, obtained from the Central Bureau of Statistics (BPS) and the Investment and One-Stop Integrated Service Office of East Kalimantan Province. The empirical findings demonstrate that economic growth exerts a negative and statistically significant impact on the open unemployment rate, indicating that higher economic growth effectively contributes to reducing unemployment in the region. Foreign Investment (PMA) is found to have a negative but insignificant effect, suggesting that inflows of foreign capital alone do not directly translate into job creation unless accompanied by supporting policies and local labor absorption capacity. In contrast, Domestic Investment (PMDN) shows a positive yet statistically insignificant relationship with unemployment, reflecting the possibility that domestic investments may not always generate sufficient employment opportunities in the short term due to structural constraints or sectoral imbalances. Furthermore, the minimum wage variable has a negative and significant effect on the open unemployment rate, implying that increases in the regional minimum wage can stimulate greater employment absorption and improve labor market conditions. Overall, the results highlight the importance of fostering sustained economic growth and designing investment policies that are more labor-intensive to optimize employment creation. Additionally, the findings emphasize the strategic role of minimum wage policy in supporting job opportunities while safeguarding workers’ welfare.

This study the analyze the influence of financial performance as a predictor of stock price in the property and real estate sector listed on the IDX for the 2020-2024 period, using a sample consists of 12 property companies. The financial performance variables used in this study include ROE, EPS, CR, and TATO. The result of show that simultaneously,all four variables have a significant  effect on stock prices. Partially, only ROE, EPS, and TATO have a significant impact, while CR has no significant effect. The analysis methods include descriptive statistics, classical assumption tests, multiple linear regression, and F Satatistical tests. The findings confirm that profitability, particularly (ROE and EPS) and asset efficiency (TATO), are the factors consideres  by investors when evaluating stocks in the property sector.  The analysis methods used in this study include descriptive statistics to summarize the data, classical assumption tests to ensure the validity of the regression model, multiple linear regression to examine the relationship between the financial performance variables and stock prices, and F-statistical tests to evaluate the overall significance of the model. The findings suggest that profitability, particularly ROE and EPS, and asset efficiency, represented by TATO, are the key factors considered by investors when evaluating stocks in the property sector.These results imply that investors in the property and real estate sector prioritize financial performance metrics that reflect the company's ability to generate returns and utilize its assets effectively. Specifically, ROE and EPS serve as crucial indicators of profitability and are closely monitored by market participants. On the other hand, CR, which measures the company's short-term liquidity, does not appear to have the same level of influence on stock prices.  

This study aims to describe the mathematical literacy skills of vocational high school students in solving statistics problems with the help of Microsoft Excel based on digital literacy levels, which are grouped into high, medium, and low. The background of this study is based on the importance of mathematical literacy in dealing with everyday problems and the demands of the world of work, as well as the increasing need for digital literacy mastery in the information technology era. Both are essential competencies that support each other, especially in technology-based mathematics learning. The research approach used is descriptive qualitative with a purposive sampling technique, where the selection of subjects is based on the results of the digital literacy questionnaire, equivalence of mathematics scores, and adequate communication skills to support the interview process. The research instruments include a digital literacy questionnaire, a mathematical literacy test in the form of descriptive questions completed using Microsoft Excel, and interview guidelines that have been validated by experts. The data collection procedure was carried out through tests and in-depth interviews, while data analysis included the stages of data reduction, data presentation, and drawing conclusions. The results of the study indicate differences in students' mathematical literacy skills based on their digital literacy levels. Students with high digital literacy are able to master mathematical literacy indicators well, including communication, mathematization, problem-solving strategies, and reasoning and argumentation. They can optimally utilize Microsoft Excel features to present data, perform calculations, and draw logical conclusions. Students with moderate digital literacy demonstrate fairly good mastery, but still experience difficulties in aspects of problem-solving strategies and in-depth reasoning. Based on these findings, it can be concluded that digital literacy plays a crucial role in supporting students' mathematical literacy abilities.