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In the era of globalization and increasingly tight competition, employee performance is one of the determining factors for the success of public services and the implementation of government work programs. Therefore, the quality of human resources owned plays a very important role in supporting the success of the organization, including in the Bogor Regency Transportation Service environment. This study was conducted against the background of indications of problems in motivation and job training at the Bogor Regency Transportation Service Secretariat. This study uses associative statistical quantitative methods. Data were collected through questionnaires distributed to 40 respondents with total sampling techniques. Data analysis was carried out using SPSS software version 23, primary data collection through questionnaires and secondary data from journals and relevant scientific works. The data obtained were then analyzed through validity tests, reliability, multiple linear regression, T tests, F tests, and coefficient of determination tests. The results of the study showed that motivation has a significant positive effect on employee performance, with a t-count value of 3.988 and a significance of 0.000. And also, job training has a significant positive effect on employee performance, with a t-count value of 5.694 and a significance of 0.000. Simultaneously, motivation and work training together influence employee performance by 74.5%, while the remaining 25.5% is influenced by other variables not discussed in this study.

In the digital era and global competition, employee performance is a key factor in enhancing the effectiveness of public services. Competence and job training are considered two important factors that can support improvements in employee performance within an institution. This research employs a quantitative approach with an associative method to identify correlations and impacts between variables. Data were collected through a questionnaire distributed to 40 respondents using total sampling technique. Data analysis was conducted using SPSS version 21 through validity tests, reliability tests, multiple linear regression, T - tests, F - tests, and the coefficient of determination. The results showed that competence has a positive and significant effect on employee performance, with a t - value of 2.461 and a significance of 0.19, and job training also has a positive and significant effect on employee performance, with a t - value of 7.006 and a significance of 0.000. Simultaneously, competency and job training together influence employee performance by 60.2% while the remaining 39.8% is influenced by factors not discussed in this research. Job training shows a more dominant influence compared to competency.

This study aims to determine the contribution of the variables of Self-Motivation, Learning Discipline, and Parental Support both partially and simultaneously to student learning achievement in the Automotive Engineering expertise program at SMK Negeri 2 Pengasih. This type of research is included in quantitative correlational research with multiple regression analysis techniques. The entire population was sampled with a total of 104 grade XII students. Data collection used a closed questionnaire and student final exam results documents. The research instrument that has passed the validity and reliability test, then continued with the classical assumption test to ensure that the regression model meets the eligibility requirements. The results showed that the three independent variables contributed significantly to student automotive learning achievement with a value of F = 26.718. Simultaneously with a significance value of 0.000 (p <0.001) and an Adjusted R Square value of 0.428 which means the model is able to explain 42.8% of the variation in learning achievement. Partially, the Self-Motivation variable significantly (p<0.05) provides the largest contribution to student learning achievement with a t-value of 2.120 followed by Learning Discipline with a t-value of 1.992 and Parental Support with a t-value of 2.021. The magnitude of the real contribution of each variable, namely: Self-Motivation of 12.15%, Learning Discipline of 10.49%, and Parental Support of 10.24%. These results emphasize the importance of strengthening students' intrinsic motivation, habituating learning discipline, and active parental involvement to improve learning outcomes in vocational education.

Hypertension, or high blood pressure, is a medical condition characterized by a persistent increase in blood pressure exceeding normal thresholds. The aim of this study was to examine the relationship between coping mechanisms and psychological stress among elderly individuals with hypertension in Meunasah Papeun Village, Krueng Barona Jaya District. This research employed a quantitative design with a descriptive-analytic approach using the Cross-Sectional Study method. The total population consisted of 77 participants, and the sampling technique utilized total sampling. The study was conducted from June 25 to July 16, 2025. Data collection instruments included the Brief Cope questionnaire and a stress questionnaire developed by the researcher, with a reliability value of Cronbach’s alpha P-Value = 0.693. Data analysis was carried out using the Chi-Square test. The study findings revealed a P-Value = 0.503 (>0.05), indicating no significant relationship between coping mechanisms and stress among elderly individuals with hypertension in Gampong Meunasah Papeun. Respondents are advised to maintain emotional stability to prevent psychological stress; although the findings indicate no direct correlation, it remains essential to preserve mental well-being through effective communication, participation in positive activities, and seeking family support. The village as the research site is encouraged to continue developing stress reduction programs through educational and preventive approaches, such as counseling on coping mechanisms for stress and group discussions.

This study aims to analyze the influence of product quality (X1), price (X2), and location (X3) on consumer satisfaction (Y) at UMKM Abon Farda Kediri. The research uses a quantitative approach with both primary and secondary data. The sample consists of 64 respondents, and the data were collected through questionnaires, literature reviews, and documentation. The analytical methods applied include Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-test, F-test, and the Coefficient of Determination test. The results of the analysis show the multiple linear regression equation: Y = 5.464 + 0.297X1 + 0.280X2 + 0.165X3 + e. Based on the t-test, the product quality variable has a t-value of 2.132 with a significance level of 0.037, indicating a significant effect on consumer satisfaction. The price variable has a t-value of 2.284 with a significance level of 0.026, also showing a significant influence. However, the location variable records a t-value of 1.176 with a significance level of 0.244, meaning it does not significantly affect consumer satisfaction. The F-test results show an F-value of 8.223 with a significance level of 0.000, confirming that product quality, price, and location simultaneously have a significant effect on consumer satisfaction. Therefore, product quality and price play an important role in increasing consumer satisfaction at UMKM Abon Farda Kediri.

This study aims to design a blanking die used for mass-producing mobile phone holders while prioritizing efficiency and dimensional accuracy. The die set developed includes key components such as the punch, die, stripper, guide post, and fastening bolts. The product produced has dimensions of 138 × 63 × 2 mm and uses ST 37 steel as the raw material. Based on calculations, the required blanking force is 129,000 kN, which is considered safe for the production process. The design also accounts for an optimal clearance of 0.083 mm and a die thickness of 35 mm to effectively withstand the working load. Simulations using stress analysis methods reveal that the von Mises stress distribution on both the punch and die remains below the elastic limit of SKD11 material. The maximum stress on the punch is recorded at 2.437 × 10⁵ N/m², while on the die it reaches 5.153 × 10⁵ N/m², both well below the yield strength of SKD11, which is 2.918 × 10⁸ N/m², indicating that these components operate safely without the risk of plastic deformation. To strengthen the construction, the stripper is designed with a thickness of 12 mm, and the addition of four SCM435 bolts is recommended to improve system stability. This die design is verified through manual calculations and Finite Element Analysis (FEA) to ensure its reliability. Overall, the findings of this study demonstrate that the designed blanking die can support mass production with high precision, optimal structural strength, and long-term durability.

This study aims to determine the effect of work discipline and compensation on employee job satisfaction at the Bureau of Organization and Human Resources of the Ministry of Agriculture. This research is motivated by the importance of proper work discipline and compensation in increasing employee job satisfaction. The method used in this research is quantitative method with descriptive approach. The data collection technique was carried out through distributing questionnaires to 85 respondents who were employees of the agency. The data analysis technique uses validity, reliability, multiple linear regression, t test, f test, and the coefficient of determination. The results of this study obtained using the t test that work discipline partially has a positive and significant effect on employee job satisfaction with a significance result of 0.000 <0.05 and the t test results show Tcount 3.656> Ttable 1.989. Compensation partially has a positive and significant effect on employee job satisfaction with a significance result of 0.000 < 0.05 and the t test results show Tcount 7.066 > Ttable 1.989. Work discipline and compensation simultaneously have a positive and significant effect on employee job satisfaction with a significance result of 0.000 < 0.05 and the f test results show Fcount of 62.960> Ftable 3.11. The coefficient of determination test found that the two independent variables had an effect of 60.6% on employee job satisfaction.

This study aims to analyze the influence of facilities and service quality on customer loyalty at Café Tepian Laut Merak. The research employed a quantitative approach with a total sample of 100 respondents selected using a purposive sampling technique. Data were collected through questionnaires distributed to customers who had visited the café. The data analysis was conducted using SPSS version 22, which included validity testing, reliability testing, classical assumption testing, partial linear regression analysis, and multiple linear regression analysis. The results showed that the facility variable (X1) had a positive and significant effect on customer loyalty (Y), indicating that better facilities contribute to higher customer loyalty. Likewise, the service variable (X2) also had a positive and significant effect on customer loyalty, suggesting that high-quality service enhances customer satisfaction and loyalty. Simultaneously, both facilities and service quality significantly influence customer loyalty at Café Tepian Laut Merak. These findings highlight the importance of improving both physical facilities and service quality as key strategies to maintain and increase customer loyalty in the competitive culinary business sector.

Bu Sabar Kendal Restaurant is a restaurant with distinctive Javanese cuisine. This study aims to determine the effect of product taste and price on loyalty to RM. Bu Sabar Kendal. The method used in this study is descriptive-quantitative. Sampling was conducted using purposive sampling and the number was calculated using the Lemeshow formula because the population was large and the number was variable. Research data was obtained through observation, interviews, and questionnaires filled out by respondents. The data measurement scale used the Likert scale. The data obtained was processed using editing, coding, and tabulation techniques. Hypothesis testing was performed using SPSS software, including validity testing, reliability testing, linear regression analysis, t-testing, F-testing, and the coefficient of determination. The results are as follows: 1) The taste variable (X1) has a high cumulative response value of 84.33%. 2) The cumulative value of the product price variable (X2) is 85.70%, which is in the high category. 3) The loyalty variable (Y) has a cumulative value of 76.63%, which is in the high category. The statistical test results show that the respondents' answers are valid and reliable. The taste variable (X1) has a positive and significant effect on the loyalty variable (Y). This means that if the taste is improved, loyalty will also increase. The product price variable (X2) has a negative and significant effect, meaning that if the product price is lowered, loyalty will increase. The taste variable (X1) and product price variable (X2) together have a simultaneous effect on the loyalty variable (Y). These two variables account for 50.2% of loyalty, while 49.8% is explained by other variables not included in this study.

The advancement of digital technology in financial systems, including the implementation of QRIS (Quick Response Code Indonesian Standard) in the retail sector, has driven the increased use of non-cash payment methods. How flexibility, time efficiency, and protectivity influence the number of QRIS transactions conducted in retail stores is the subject of this research. Validity, reliability, classical assumption analysis, and hypothesis analysis. Results show that time efficiency contributes significantly to increasing QRIS transactions, while flexibility and security are not significantly affected. Only 18.9% of the variation in QRIS usage behavior is caused by the three independent variables, according to the coefficient of determination (R2). These findings indicate that time efficiency is a key factor in driving the retail sector to adopt digital payment systems.

This study discusses the effect of store atmosphere, service quality, and layout on purchasing decisions at Sambi Swalayan. This study uses quantitative methods with the aim of knowing the extent to which these three variables influence consumer decisions in making purchases. The research sample was obtained using the Accidental Sampling technique, which is a sampling technique based on chance, where the researcher chooses respondents who are accidentally encountered at the research location and deemed suitable for sampling. The number of respondents obtained in this study was 99 people. In data processing, researchers use several statistical analysis techniques, including validity and reliability tests to test the accuracy and consistency of research instruments. In addition, a classical assumption test was carried out to ensure that the data met the requirements for regression analysis, then continued with multiple linear regression analysis to determine the relationship and influence between variables. The coefficient of determination (R²) is used to see how much the independent variable contributes to the dependent variable, while the t test and f test are used to test the effect partially and simultaneously.The results showed that the store atmosphere had a significant effect on purchasing decisions with a sig value. 0,000 < 0,05. Conversely, service quality has no significant effect because the sig value. 0,383 > 0,05. However, store layout has a significant influence on purchasing decisions with a sig value. 0,000 < 0,05. Simultaneously, the three variables have a significant effect on purchasing decisions at Sambi Swalayan with a sig value. 0,000 < 0,05.

This study aims to analyze the influence of work motivation and work ability on employee job satisfaction at the Department of Marine and Fisheries of Bima Regency. The research employed a quantitative approach with an associative type of study. The population consisted of 67 employees, and a sample of 38 civil servants was selected using a purposive sampling technique. Data were collected through a closed-ended questionnaire using a five-point Likert scale and analyzed using multiple linear regression with SPSS version 26. The validity and reliability tests confirmed that all items were valid and reliable. The results indicate that work motivation has a positive and significant effect on job satisfaction, and work ability also shows a positive and significant impact. Simultaneously, both variables significantly influence job satisfaction with a coefficient of determination (R²) of 0.967, meaning that 96.7% of job satisfaction variation is explained by motivation and work ability. These findings confirm that enhancing employee motivation and competence is a strategic factor in improving job satisfaction and performance in public sector organizations.

This study aims to determine the effect of the role of work motivation as a mediating variable between workload on employee performance at Perumda Air Minum Tirta Sakti, Kerinci Regency. The method used is quantitative analysis with data collection techniques by distributing questionnaires to 86 respondents. Data were collected using a Likert-scale-based questionnaire, and hypothesis testing used descriptive analysis techniques using SmartPLS 4 software. This study uses Outer Model testing, namely convergent Validity, Discriminant Validity, composite reliability and Inner Model testing, namely R-Square and Bootstrapping. The results of the study indicate that (1) workload has a positive and significant effect on employee performance. So the higher the workload, the higher the employee performance will be. (2) Workload has a positive and significant effect on work motivation. The higher the workload, the greater the motivation that arises in an employee. (3) Work motivation has a positive and significant effect on employee performance. If employees are motivated to work, their performance will be higher and improve. Conversely, if employees are less motivated, they will not be able to do their work well, so their performance will be less than optimal. (4) Work motivation can mediate between workload and employee performance. Employees who have high motivation can complete high workloads because this motivation encourages them to do their work with more enthusiasm and can determine efforts to achieve predetermined goals. e and Bootstrapping. The results of the study indicate that (1) workload has a positive and significant effect on employee performance. So the higher the workload, the higher the employee performance will be. (2) Workload has a positive and significant effect on work motivation. The higher the workload, the greater the motivation that arises in an employee. (3) Work motivation has a positive and significant effect on employee performance. If employees are motivated to work, their performance will be higher and improve. Conversely, if employees are less motivated, they will not be able to do their work well, so their performance will be less than optimal. (4) Work motivation can mediate between workload and employee performance. Employees who have high motivation can complete high workloads because this motivation encourages them to do their work with more enthusiasm and can determine efforts to achieve predetermined goals.

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that presents significant diagnostic challenges due to its heterogeneous clinical manifestations and symptom overlap with other neurological conditions. Early and accurate diagnosis is critical for initiating timely interventions and improving patient outcomes. Traditional diagnostic approaches rely heavily on clinical expertise and manual interpretation of neuroimaging data, such as structural MRI, Diffusion Tensor Imaging (DTI), and functional MRI (fMRI), which are inherently time-consuming and prone to interobserver variability. Recent advances in Artificial Intelligence (AI) and Deep Learning (DL) have demonstrated potential for automating neuroimaging analysis, yet existing models often suffer from limited generalizability across modalities and datasets. To address these limitations, we propose a Transformer-augmented deep learning ensemble framework for automated ALS diagnosis using multi-modal neuroimaging data. The proposed architecture integrates Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Vision Transformers (ViTs) to leverage the complementary strengths of spatial, temporal, and global contextual feature representations. An adaptive weighting-based fusion mechanism dynamically integrates modality-specific outputs, enhancing the robustness and reliability of the final diagnosis. Comprehensive preprocessing steps, including intensity normalization, motion correction, and modality-specific data augmentation, are employed to ensure cross-modality consistency. Evaluation using 5-fold cross-validation on a curated multi-modal ALS neuroimaging dataset demon-strates the superior performance of the proposed model, achieving a mean classification accuracy of 94.5% ± 0.7%, precision of 93.9% ± 0.8%, recall of 92.9% ± 0.9%, F1-score of 93.4% ± 0.7%, spec-ificity of 97.4% ± 0.6%, and AUC-ROC of 0.968 ± 0.004. These results significantly outperform baseline CNN models and highlight the potential of transformer-augmented ensembles in complex neurodiagnostic applications. This framework offers a promising tool for clinicians, supporting early and precise ALS detection and enabling more personalized and effective patient management strategies.

This research aims to analyze the influence of brand image, product quality, and brand ambassador Lee Min Ho on consumer buying interest in Azarine sunscreen products in Kediri city district. This study uses a quantitative method with an associative approach. The sampling method employed is Non-Probability Sampling with purposive sampling technique. In this study, data collection was conducted using a questionnaire distributed to 130 respondents. The analytical techniques used in this research include validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple linear regression test, t-test (partial), F-test (simultaneous), and coefficient of determination test (R2) analyzed using SPSS 26 software. The results show that partially, the brand image variable does not have a significant effect on buying interest, indicated by a significance value of 0.555 > 0.05. The product quality variable partially has a significant effect on purchase interest with a significance value of 0.041 < 0.05, and the brand ambassador variable partially has a significant effect on purchase interest with a significance value of 0.000 < 0.05. Simultaneously, brand image, product quality, and brand ambassador have a positive and significant effect on purchase interest for Azarine sunscreen products in Kediri city district, with a significance value of 0.000 < 0.05. The coefficient of determination value of 0.581 indicates that 58.1% of the variation in consumer purchase interest can be explained by the three variables: brand image, product quality, and brand ambassador, while the remaining 41.9% is influenced by other external factors outside these variables.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, deep latent features extracted through an unsupervised Long Short-Term Memory (LSTM) encoder, and quantum-inspired features derived from a five-qubit circuit implemented in PennyLane. These heterogeneous features are fused using a feature-wise attention mechanism combined with an AdaBoost classifier to dynamically weight feature contributions and enhance decision boundaries. Experiments were conducted on three benchmark medical datasets—CKD, early-stage diabetes, and heart disease—under both balanced and imbalanced configurations using stratified five-fold cross-validation. All preprocessing and feature extraction steps were carefully isolated within each fold to ensure fair evaluation. The proposed hybrid model consistently outperformed conventional and ensemble baselines, achieving peak accuracies of 99.75% (CKD), 96.73% (diabetes), and 91.40% (heart disease) with corresponding ROC AUCs up to 1.00. Ablation analyses confirmed that attention-based fusion substantially improved both accuracy and recall, particularly under imbalanced conditions, while SMOTE contributed minimally once feature-level optimization was applied. Overall, the attention-guided AdaBoost framework provides a robust and interpretable approach for clinical risk prediction, demonstrating that integrating diverse quantum, deep, and classical representations can significantly enhance feature discriminability and model reliability in structured medical data.

This study aims to analyze the effect of price, green knowledge, and electronic word of mouth (eWOM) on purchase intention toward electric bicycles in Kediri City. A quantitative approach with a causal-comparative design was employed. Data were collected through an online questionnaire involving 112 respondents familiar with electric vehicle concepts, using purposive sampling. The validity and reliability tests confirmed that all research instruments were valid and reliable. Data analysis was performed using multiple linear regression with SPSS version 26. The results reveal that all independent variables have a positive and significant effect on purchase intention, with an R² value of 0.893. Among them, eWOM has the most dominant influence compared to price and green knowledge. These findings indicate that reasonable price perception, adequate environmental knowledge, and positive online reviews simultaneously enhance consumers’ purchase intention for electric bicycles. This study supports the Theory of Planned Behavior in explaining eco-friendly purchasing behavior and provides strategic implications for companies to apply value-based pricing, environmental education campaigns, and effective digital promotion strategies.

A company's productivity is greatly influenced by the quality of employee performance, which makes employees an important asset in achieving organizational goals. This study aims to analyze the influence of job skills, work experience, and work commitment on employee performance on CV Medali Mas. The research method used is a quantitative approach with multiple linear regression analysis techniques. Data were collected through questionnaires that had been tested for validity and reliability, and classical assumption tests were carried out including normality, multicollinearity, heteroscedasticity, and linearity tests. The results of the analysis showed that simultaneously, the three independent variables, namely work skills, work experience, and work commitment, had a significant effect on employee performance (F count = 6.788; Sig. < 0.001). However, only work experience showed a significant effect on employee performance (t count = 2.765; Sig. = 0.009), while work skills (Sig. = 0.072) and work commitment (Sig. = 0.531) had no significant effect. These findings confirm that work experience is a dominant factor in improving employee performance at CV Medali Mas. The implications of this study suggest that companies pay more attention to the track record of work experience in the recruitment and human resource development process to increase productivity optimally.

This study aims to analyze the influence of work discipline, work motivation, and incentive provision on employee performance in the production department of PT Wonojati Wijoyo. The study employed an associative quantitative approach, with 65 respondents selected using a purposive sampling technique. Data were collected through a five-point Likert-scale questionnaire that passed validity and reliability tests. The data were analyzed using multiple linear regression with SPSS version 29, including classical assumption tests, t-test, F-test, and the coefficient of determination (R²). The results show that work discipline has a positive and significant effect on employee performance, while work motivation and incentive provision have no significant effect. However, simultaneously, the three variables significantly affect employee performance, with a coefficient of determination of 77.9%, indicating that the remaining 22.1% is influenced by other factors not included in the model. These findings highlight the importance of implementing human resource management policies that balance discipline, reward systems, and motivation programs to improve employee performance sustainably.