Abstract:This study examines the implementation of customer-driven excellence strategy in the Umrah travel industry in Depok City by investigating the relationships between service quality, brand credibility, perceived value, and…
customer-driven excellence outcomes. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 105 customers who have utilized Umrah travel services within the past two years. The measurement model demonstrated excellent reliability and validity, with all constructs meeting stringent psychometric criteria for convergent and discriminant validity. The structural model reveals that all three hypotheses are strongly supported, with brand credibility emerging as the most influential factor (β = 0.398, p < 0.001), followed by perceived value (β = 0.356, p < 0.001) and service quality (β = 0.285, p < 0.001). The integrated model explains 74.2% of variance in customer-driven excellence, demonstrating strong explanatory power and large predictive relevance (Q² = 0.486). These findings provide empirical evidence that successful customer-driven excellence strategy requires integrated approaches prioritizing brand credibility development while simultaneously enhancing perceived value and service quality. The study offers valuable insights for Umrah travel operators seeking to optimize competitive advantage through comprehensive customer excellence strategies that address both functional and emotional dimensions of religious tourism services.
Abstract:Abstract This study is motivated by the financial literacy of generation Z and also the quality of life insurance products in Indonesia which are moderated by gender in influencing a person's interest in buying life insurance…
surance in Indonesia. This study uses a quantitative method with a descriptive relationship approach. Determination of the sample in this study was carried out by calculating using the Bernoulli formula, with a total of 384 respondents. The data analysis technique used is the Structural Equation Model - Partial Least Square (SEM-PLS). The results of the study show that financial literacy (X1) and product quality (X2) do not have a significant effect on buying interest (Y) where the p-values of both variables are <0.05. Other findings also state that Gender (Z) does not significantly moderate financial literacy and product quality. The conclusion of this study is that the factors that make generation Z interested in buying insurance products are influenced by their perceptions of financial literacy and product quality. More specifically, the perception of product quality factors has a significant and positive influence on generation Z's interest in buying life insurance products in Indonesia. The findings show that of the two variables, product quality can be the strongest predictor in predicting generation Z's interest in purchasing life insurance products. Financial literacy cannot significantly predict generation Z's interest in purchasing insurance products.
Keywords : financial literacy, product quality, gender, purchasing intention
Abstract:Based on the research results, the research results show that ethical leadership supports the adoption of positive behavior by employees and overall improves organizational performance. This approach emphasizes the ethical…
al dimension of leadership in the context of management, with a focus on improving leader values, ethical traits and ethical behavior within the organization. Aspects such as Telling, Selling, Participating & Delegating are considered key elements in ethical leadership . The method used is multiple regression analysis, an analysis method used to evaluate the relationship between one dependent variable (bound) with one or more independent variables (free/explanatory). This analysis aims to predict the value of the dependent variable by considering changes in the value of the independent variable. In addition, multiple regression analysis helps in determining the direction of the relationship between the dependent variable and the independent variable, whether the correlation is positive or negative. The regression equation formula for two dependent and independent variables . The tests used are classical assumption tests, hypothesis tests and data quality tests. The sample is determined by taking a representation of the population that is predicted to represent the entire population. The sample in this study were employees at the PT. Perkebunan Nusantara (Persero) I Office Regional I . Determination of samples for employees of PT. Perkebunan Nusantara I (Persero) Regional I was carried out using the Saturated Sampling method . The results of the study showed that X1 telling t count -1.113 < t table 5.409 and significance 0.316 > 0.05 (no effect). X2 selling t count -0.365 < t table 5.409 and significance 0.730 > 0.05 (no effect). X3 participation t count 8.090 > t table 5.409 and significance 0.010 < 0.05 (influential). X4 delegation t count 9.320 > t table 5.409 and significance 0.000 < 0.05 (influential). The results of the simultaneous significance test of the F test are f count 6.076 > f table 5.409 and the prob (F-statistic) is 0.0000 < 0.05. H0 : β1 = β2 = • • • = βk = 0 This means that the independent variable has an overall influence/relationship on the dependent variable
Abstract:The rapid growth of the hotel industry requires hotels to improve operational planning, one of which is by forecasting room reservations. Inaccurate forecasting may cause an imbalance between room availability and customer…
er demand. This study aims to compare the Weighted Moving Average and Single Exponential Smoothing algorithms in forecasting room reservations at Raz Hotel and Convention Medan using historical data from January 2025 to May 2026. The research method consisted of data collection, forecasting using both algorithms, and accuracy evaluation through Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results indicate that the Single Exponential Smoothing algorithm achieved a Mean Absolute Percentage Error of 15.24%, which is lower than the 15.63% obtained by the Weighted Moving Average algorithm. Furthermore, the Single Exponential Smoothing algorithm predicted 835.90 room reservations for June 2026. Therefore, it can be concluded that the Single Exponential Smoothing algorithm provides better forecasting accuracy and is more suitable for predicting room reservations at Raz Hotel and Convention Medan.
Abstract:Sales forecasting is a crucial component of operational strategy and inventory management in the culinary industry, particularly for businesses dealing with raw materials that have short shelf lives. The Sate Padang Hapis…
s business faces the challenge of unpredictable monthly fluctuations in consumer demand, which often lead to supply imbalances, overproduction, or lost profit opportunities due to stockouts. This study aims to implement and analyze the accuracy of the Single Moving Average (SMA) quantitative forecasting method in predicting Sate Padang Hapis sales volumes for June 2026. Model performance was evaluated by assessing mathematical accuracy across two time-interval variations: 3-month and 5-month moving averages. Projection error rates were rigorously measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) parameters. The analysis reveals that the Single Moving Average model with a 5-month interval yields projections closest to actual data, achieving the lowest error rates (MAD: 28.00; MSE: 1,304.00; MAPE: 2.28%). Implementing this forecasting model provides management with an objective basis for decision-making, enabling the effective and efficient optimization of raw material logistics and supply management.
Abstract:Bread product sales have become an important aspect of the bakery business, influenced by fluctuations in demand that are not easily predictable. Efficient sales management requires a deep understanding of sales patterns.…
. This study aims to optimize bread product sales by using the K-Means Clustering algorithm to analyze daily sales performance at Toko Roti Amin. The data used includes sales volume and transaction frequency for bread products, consisting of 356 data points. The results show that the bread products can be grouped into three clusters: 129 data in the “Good Sales” cluster, 28 data in the “Moderate Sales” cluster, and 199 data in the “Low Sales” cluster. These findings assist bakery owners in managing stock, production planning, and more targeted marketing strategies. Although there are limitations in using K-Means Clustering, such as dependence on the initial centroid selection, this study proves that applying this technique can enhance inventory management and maximize profit in the bakery business.
Abstract:PDAM Tirta Kualo is a regional company that supplies clean water to the surrounding community. Accurate estimation of water bill amounts is crucial to assist PDAMs in managing resources and finances efficiently. This study…
dy aims to create a prediction model for total water bills using the linear regression method. The data used is historical customer billing data which is analyzed to identify the relationship between air usage volume and total billing.
The findings show that a simple regression model can describe the water bill amount with an impressive accuracy of 0.9926. This precise model allows it to be used effectively in PDAM financial planning and assists customers in estimating their water usage.
Abstract:Graduation marks the completion of a certain level of schooling. This study aims to predict the graduation of students at SDN 016528 BP Mandoge based on their abilities. The goal of this research is to reduce the rate of…
student failure to graduate by making predictions based on examination scores collected by the institution. The method used in this study is Naive Bayes, a technique in Data Mining that utilizes probability and statistics to predict future outcomes based on previous data. This method was chosen due to its advantage in predicting graduation rates from concrete data, ensuring the results are reliable and applicable for future predictions. The dataset used in this study includes graduation data for SDN 016528 BP Mandoge students for the 2019/2020 academic year, comprising 171 students, with 120 students used for training data and 51 students for testing data, achieving a model accuracy of 98%.
Abstract:The paradigm shift in science education necessitates the development of critical thinking skills as a foundation for improving students’ problem-solving abilities; however, empirical conditions indicate that both competencies…
tencies remain low and have not been optimally developed. This study aims to examine the relationship between critical thinking skills and problem-solving abilities among eighth-grade students of SMP Negeri 2 Serui and to determine the degree of their empirical association. The study employed a quantitative approach with a correlational design, utilizing essay-based test instruments analyzed through simple linear regression. The findings reveal that students’ critical thinking and problem-solving abilities are in the low to moderate categories, with mean scores of 14.56 and 28.72, respectively. The linearity test indicates a significant relationship, while regression analysis produces the equation Y = 21.682 + 0.484X with a significance value of 0.009. The correlation coefficient of 0.487 indicates a moderate positive relationship, and the coefficient of determination of 23.7% shows that critical thinking contributes to problem-solving ability. The results confirm that improvements in critical thinking skills directly influence the enhancement of students’ problem-solving abilities, although other factors also contribute. The novelty of this study lies in the presentation of a quantitative relationship model that remains significant despite non-normally distributed data, as well as in establishing critical thinking as a significant yet partial predictor of problem-solving, thereby providing a foundation for developing more structured, contextual, and higher-order thinking-based instructional strategies.
Abstract:Education is the backbone and main tool for a country’s development, because it emphasizes the quality of human resources (HR). Education aims to brighten the nation’s future with an intelligent and characterful generation.…
ration. Learning, as an interaction between teachers, students, and learning resources, is a systematic process involving interrelated components to achieve optimal results. This literature review aims to provide a comprehensive understanding of learning theory and learning in educational practice. In this research, the researcher used a literature review method which aims to identify, find and analyze documents related to the research problem. The results of the research show that this consistency has a crucial role in creating a predictive learning environment, facilitating the continuity of curriculum and strategy development. teaching, facilitates the transfer of learning, and forms a strong foundation for an effective and sustainable learning experience for students. Consistency in applying learning and learning theories, such as behaviorism, cognitivism, constructivism, and humanism, helps educators in designing structured and directed learning. This allows students to develop a deep understanding of the subject matter and skills that are important for learning. In conclusion, the consistency of learning and learning theories in education is an important factor for achieving educational goals. By consistently applying learning theories, an intelligent and characterful generation can be created that is ready to build a brighter future for the nation.