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Employee performance is a critical element in organizational success, particularly in labor-intensive industries such as garment manufacturing. This study aims to analyze the effect of work stress (X1) and work environment (X2) on employee performance (Y) in garment industry companies in Semarang Regency. A quantitative descriptive approach with multiple linear regression analysis was employed. The population and sample comprised 96 employees using total sampling. Data were collected through a Likert-scale questionnaire (1–5) with 10 items per variable. All classical assumption tests (normality, multicollinearity, heteroscedasticity) were satisfied. Reliability tests yielded Cronbach's Alpha of 0.866 (work stress), 0.941 (work environment), and 0.937 (employee performance), confirming instrument reliability. Results indicate: (1) work stress has no significant partial effect on employee performance (t = 1.581; sig. = 0.117); (2) work environment has a significant positive partial effect on employee performance (t = 9.618; sig. = 0.000); (3) simultaneously, both variables significantly affect employee performance (F = 56.630; sig. = 0.000) with a coefficient of determination (R²) of 54.9%. These findings confirm that optimizing the work environment both physical and non-physical is the primary strategic priority for enhancing employee performance in the garment industry.

This study aims to determine and analyze the impact of the work environment on employee job satisfaction at the Human Resources Development Agency (BPSDM) of Jambi Province. The research is motivated by the importance of a supportive work environment in creating comfort, increasing motivation, and improving employee job satisfaction, since preliminary observations found several work-environment problems such as inadequate room cooling, disrupted toilet water supply, and unstable Wi-Fi network. This study used a quantitative approach with an associative research design. The population consisted of 75 employees, all of whom were used as the sample through a saturated sampling technique. Data were collected using a four-point Likert-scale questionnaire and analyzed with validity tests, reliability tests, classical assumption tests, and simple linear regression using SPSS. The results show that the work environment has a significant impact on employee job satisfaction, evidenced by a significance value smaller than 0.05, with a coefficient of determination of 61.8 percent. This indicates that the better the work environment, both physical and non-physical, the higher the employee job satisfaction. This research is expected to serve as a consideration for the agency in improving the quality of the work environment to support employee job satisfaction and performance.

Earnings management remains a major concern in the banking industry because it may reduce the credibility and reliability of financial reporting. At the same time, Corporate Social Responsibility (CSR) has increasingly been recognized as an important governance mechanism that enhances corporate transparency, accountability, and stakeholder trust. However, previous studies have reported inconsistent findings regarding the role of firm size in the relationship between CSR and earnings management. Therefore, this study aims to examine the effect of CSR on earnings management and investigate whether firm size acts as a mediating variable in Indonesian banking companies. This research employed a quantitative explanatory approach using panel data from 22 banking companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 66 observations. Data were analyzed using panel data regression with the Fixed Effect Model and mediation analysis through the Sobel test using EViews 12. The findings indicate that CSR has a significant negative effect on earnings management and a significant positive effect on firm size. Furthermore, firm size partially mediates the relationship between CSR and earnings management, indicating that CSR reduces earnings management both directly and indirectly through organizational scale. These findings provide theoretical support for stakeholder and legitimacy theories and offer practical insights for managers and regulators in strengthening CSR implementation to improve financial reporting quality and corporate transparency.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

The increasing competition in the coffee shop industry requires Micro, Small, and Medium Enterprises (MSMEs) to continuously improve service quality and product quality to maintain customer satisfaction and business sustainability. Ngopi Pojok 98 experienced a decline in revenue over several months, indicating potential problems related to service performance and product consistency. This study aims to analyze the improvement of customer satisfaction after implementing service quality and product quality enhancements at Ngopi Pojok 98. This research employed a quantitative approach using a One Group Pretest–Posttest Design. The sample consisted of 50 respondents selected through purposive sampling. Data were collected using questionnaires administered before and after the improvement program and analyzed using validity tests, reliability tests, the Shapiro–Wilk normality test, and the Paired Sample t-Test with the assistance of SPSS software. The results showed that all instruments were valid and reliable. The normality test indicated a significance value of 0.291 (>0.05), confirming normal data distribution. Furthermore, the Paired Sample t-Test produced a significance value of 0.000 (<0.05), indicating a significant difference in customer satisfaction before and after the improvements. The average satisfaction score increased from 29.68 to 34.88. These findings confirm that enhancing service quality and product quality effectively improves customer satisfaction in coffee shop MSMEs.

VIP Driving Course is a driving course institution that focuses on safe and effective learning. This course has experienced problems in the last five months, there has been a decrease in the number of students, recorded from January to May, respectively, there were 47, 33, 29, 25, and 21 students. This indicates a customer satisfaction issue related to service quality. The purpose of this study was to identify service quality, analyze the gap value and identify service dimensions or attributes that are prioritized for improvement. The number of respondents used was 112 respondents. This study used the SERVQUAL method to measure the gap between student expectations and perceptions, and importance performance analysis to determine improvement priorities. The results showed six attributes with negative gap values ​​including comfort of facilities, clarity of material, availability of cars, responsiveness of service, clarity of information, and attention to safety, and seven attributes with positive gap values ​​including vehicle cleanliness, neatness of instructors, time discipline, fast administration, friendly service, openness to input, and orientation to student needs. SERVQUAL analysis shows 4 dimensions with negative values ​​including tangibles of -0.21, reliability of -0.32, responsiveness of -0.29, and assurance of -0.24, while the empathy dimension obtained a positive gap value of 0.06. This indicates that most services have not met student expectations. Based on the IPA analysis, there are 4 attributes in quadrant I that are the main priority for improvement, with suggestions including rearranging the waiting room, lighting, air circulation, and supporting facilities. Increasing the number of training cars, optimizing the delivery of schedule information, procedures through digital media, and increasing attention to driving safety. Improvement efforts are made to increase customer satisfaction.

This study aims to analyze the effect of priority Customer service quality on customer satisfaction at BCA KCU Gading Serpong using the five SERVQUAL dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. The research employed a quantitative approach with a causal research design. The population consisted of 875 active priority customers, while the sample comprised 100 respondents selected using the Slovin formula through purposive sampling and quota sampling techniques. Data were collected using Likert-scale questionnaires and analyzed through multiple linear regression using SPSS version 25. The findings indicate that each SERVQUAL dimension has a positive and significant effect on customer satisfaction, with significance values below 0.05. Simultaneously, the five dimensions significantly influence customer satisfaction, as indicated by an F-value of 57.184, a significance level of 0.000, and a coefficient of determination of 71.9% (R² = 0.719). Among the five dimensions, Responsiveness has the strongest influence on customer satisfaction. Therefore, BCA KCU Gading Serpong is recommended to continuously improve service quality, particularly in Responsiveness, Reliability, and Tangibles, to maintain and enhance priority customer satisfaction.

Project-Based Learning (PjBL) is a learning method that emphasizes students' active involvement in completing real-world projects relevant to nursing education. Evaluating the implementation of PjBL is essential to assess its application at the Faculty of Nursing, Universitas Riau. This study aimed to analyze the implementation of the PjBL method among nursing students at Universitas Riau. The study employed a descriptive evaluative quantitative design with a cross-sectional approach. A total of 123 fourth-semester students were selected using a purposive sampling technique. The research instrument was a closed-ended questionnaire consisting of 25 Likert-scale items that had been validated through expert judgment and demonstrated good reliability with a Cronbach’s alpha coefficient of 0.80. The instrument covered the dimensions of project planning, collaboration and communication, motivation and creativity, critical thinking and independence, understanding and application of learning materials, interest and satisfaction, as well as lecturer assessment and feedback. Data were analyzed using univariate analysis with frequency and percentage distributions. Most respondents were 20 years old (55.3%), female (87.0%), and had a Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA) above 3.50. The implementation of PjBL was categorized as high (63.4%), moderate (35.8%), and low (0.8%). Overall, the implementation of PjBL was considered optimal and effectively supported students’ active engagement, collaboration, and understanding of learning materials.

Project-Based Learning (PjBL) is a learning method that emphasizes students' active involvement in completing real-world projects relevant to nursing education. Evaluating the implementation of PjBL is essential to assess its application at the Faculty of Nursing, Universitas Riau. This study aimed to analyze the implementation of the PjBL method among nursing students at Universitas Riau. The study employed a descriptive evaluative quantitative design with a cross-sectional approach. A total of 123 fourth-semester students were selected using a purposive sampling technique. The research instrument was a closed-ended questionnaire consisting of 25 Likert-scale items that had been validated through expert judgment and demonstrated good reliability with a Cronbach’s alpha coefficient of 0.80. The instrument covered the dimensions of project planning, collaboration and communication, motivation and creativity, critical thinking and independence, understanding and application of learning materials, interest and satisfaction, as well as lecturer assessment and feedback. Data were analyzed using univariate analysis with frequency and percentage distributions. Most respondents were 20 years old (55.3%), female (87.0%), and had a Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA) above 3.50. The implementation of PjBL was categorized as high (63.4%), moderate (35.8%), and low (0.8%). Overall, the implementation of PjBL was considered optimal and effectively supported students’ active engagement, collaboration, and understanding of learning materials.

This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas   Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin

This study aims to analyze the influence of financial literacy and financial behavior on personal financial management and to examine the differences in financial literacy, financial behavior, and personal financial management among accounting students across semesters at the Faculty of Economics and Business, Universitas Tanjungpura. This research employed a quantitative approach using descriptive and verificative methods. Data were collected through questionnaires distributed to 118 respondents consisting of 30 second-semester students, 34 fourth-semester students, and 54 sixth-semester students. Data analysis was conducted using validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, and the Kruskal-Wallis test with the assistance of IBM SPSS Statistics 27. The results showed that financial literacy and financial behavior have a positive and significant effect on students’ personal financial management. Furthermore, the Kruskal-Wallis test indicated that there were no significant differences in the levels of financial literacy, financial behavior, and personal financial management among second-, fourth-, and sixth-semester students.

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.

Cracker pr machines are widely used in small and medium-scale food industries. However, limitations in frame design and motor speed control often result in suboptimal machine performance. This study aims to perform a redesign of the upper conveyor frame, analyze the structural strength of the frame, and evaluate the effect of using a Variable Speed Drive (VSD) inverter on improving the production capacity of a cracker printing machine.The research method includes frame redesign, load calculation, and numerical analysis using the Finite Element Method (FEM) with SolidWorks Simulation. The applied loads consist of machine component weights and operational loads. In addition, performance testing was conducted by varying the motor rotational speed controlled by the VSD inverter to determine its effect on production output.The results show that the redesigned frame has a maximum displacement of 0.18 mm, a maximum stress of 8.9 MPa, and a minimum safety factor of 31, indicating that the structure is safe and operates within the elastic region. The implementation of the VSD inverter successfully increased the machine’s production capacity from the initial condition up to 78.5 kg/h. Based on these results, it can be concluded that the frame redesign and the application of a VSD inverter are effective in improving the performance and reliability of the cracker printing machine.

Modern retail competition increasingly depends on the ability of stores to create efficient, comfortable, and memorable shopping experiences for Generation Z consumers. This study aims to examine the effects of Store Layout and Store Atmosphere on Purchase Intention in modern retail stores in Malang City. A quantitative associative design was employed using survey data from 123 Generation Z respondents selected through purposive sampling. The data were analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression with IBM SPSS Statistics 26. The results show that Store Layout has a positive and significant effect on Purchase Intention (t = 2.051; Sig. = 0.042), and Store Atmosphere also has a positive and significant effect (t = 2.460; Sig. = 0.015). Simultaneously, both variables significantly affect Purchase Intention (F = 10.570; Sig. < 0.001), although the adjusted coefficient of determination is modest (Adjusted R2 = 0.136). The findings imply that retailers should integrate functional layout design with sensory atmosphere management to strengthen Generation Z consumers’ intention to purchase.

This study analyzes the effect of logistics digitalization systems and personnel competence on the distribution of personnel uniforms (kaporlap) at Kodiklatal. The study was motivated by the fact that the distribution system had not yet operated optimally despite the implementation of digital logistics, while delays in updating the Sistem Informasi Entitas Samapta (SIMBENSAM), limited documentation of device identities, and unequal digital skills among personnel still constrained distribution performance. A quantitative approach with explanatory design was applied. The population consisted of 3,099 personnel and the sample comprised 97 respondents selected using Slovin's formula. Data were collected through Likert-scale questionnaires and internal documentation, then analyzed using validity and reliability tests, classical assumption tests, descriptive analysis, and simple and multiple linear regression. The results show that the logistics digitalization system has a positive and significant effect on kaporlap distribution (t = 24.607; p < 0.05), personnel competence also has a positive and significant effect (t = 37.972; p < 0.05), and both variables simultaneously affect distribution performance (F = 788.285; p < 0.05) with an R square of 0.944. These findings confirm that digital systems and human competence must be strengthened in an integrated manner to support efficient, accurate, and timely distribution in a military education environment.

Modern food supply chains, particularly those involving essential commodities like rice, often suffer from major challenges such as product fraud, inefficient record-keeping, and a lack of consumer trust. Traditional centralized systems are prone to data tampering, limited transparency, and poor traceability, making it difficult to verify the authenticity and origin of goods. To address these issues, our research introduces TraceRoot, a blockchain-based traceability framework designed to enhance transparency, accountability, and trust in agricultural supply chains.TraceRoot leverages the immutability and decentralization of blockchain technology to maintain a secure, distributed ledger that records every transaction and movement of goods across the supply chain. Each stakeholder including farmers, distributors, retailers, and consumers has role-based access to authenticated data through a user-friendly interface. The framework integrates smart contracts to automate transactions and digital signatures to verify the integrity of the data being uploaded, minimizing the risk of human error or manipulation

This study aims to determine the influence of work environment and work motivation on employee performance at PT. Bahari Bahagia Ria Jambi. This study uses quantitative methods. The population and sample in this study were all employees of PT. Bahari Bahagia Ria Jambi, totaling 76 respondents using saturated sampling techniques. The analysis method uses descriptive analysis. Instrument testing by conducting Validity Test and Reliability Test, also with Multiple Linear Regression and Classical Assumption Test. Hypothesis testing with t-test (Partial Test) and f-test (Simultaneous Test) using SPSS tools. The results of this study indicate that the performance description is in the very high category, the work environment is in the very supportive category and work motivation is in the very motivated category. The work environment has a positive and significant effect on employee performance at PT. Bahari Bahagia Ria Jambi, work motivation has a positive and significant effect on employee performance and simultaneously (simultaneously) the work environment and work motivation have a positive and significant effect on employee performance. The suggestions from this research are: (1) Employees should always maintain good relationships with each other so that the company's goals can be realized (2) Leaders should always provide encouragement so that employees can carry out their duties well (3) Companies should always pay attention to the potential of their employees and the efforts made to develop this potential through training.

The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

The following study aims to analyze the influence of buzzer marketing, influencer marketing, and brand trust on purchase intention of Wardah products on TikTok Shop. The background of the study is based on the increasing use of TikTok Shop as a social commerce platform and the importance of digital marketing strategies in influencing consumer purchasing intention, especially in the cosmetics industry that demands brand trust. The research method uses a quantitative approach with a questionnaire distributed to 100 respondents. Data were analyzed through validity and reliability tests, classical assumption tests, and multiple linear regression. The results indicate that all instruments are valid and reliable and the model meets classical assumptions. Partially, buzzer marketing, influencer marketing, and brand trust have a significant effect on purchase intention, with coefficients of 0.494, 0.362, and 0.264, respectively. Simultaneously, all three variables also have a significant effect. The coefficient of determination value of 0.535 indicates that the variation in purchase intention is explained by these three variables.