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This study aims to: (1) determine the influence of teacher Self Efficacy on students’ learning motivation in Economics Social Studies; (2) determine the influence of teachers’ teaching creativity on students’ learning motivation; (3) determine the influence of teacher attitudes on students’ learning motivation; (4) analyze the simultaneous influence of teacher Self Efficacy, teaching creativity, and teacher attitudes on students’ learning motivation; and (5) identify the most dominant variable affecting students’ learning motivation at SMP Negeri 9 Marusu, Maros Regency. The research was conducted from September to November 2025 using an associative quantitative approach with an ex-post facto design. The sample consisted of 155 students selected through proportional random sampling. The research instrument was a Likert-scale questionnaire that had passed validity and reliability testing. Data were analyzed using classical assumption tests and multiple linear regression with the help of SPSS. The results of the study indicate that: (1) teacher Self Efficacy has a significant partial effect on students’ learning motivation (t = 3.606, Sig. = 0.000), but becomes insignificant in the simultaneous model (t = –0.531, Sig. = 0.596); (2) teaching creativity has a positive and significant partial effect (t = 5.852, Sig. = 0.000); (3) teacher attitudes have a positive and significant effect (t = 8.008, Sig. = 0.000) and are the most dominant variable, as shown by the highest regression coefficient (B = 1.456; Beta = 0.916); (4) simultaneously, teacher Self Efficacy, teaching creativity, and teacher attitudes significantly influence students’ learning motivation (F = 38.854, Sig. = 0.000); and (5) teacher attitudes are the most dominant predictor, as indicated by B = 1.456 and Beta = 0.916. This means that the more positive the teacher's attitude, the higher the students' learning motivation.

The development of digital technology has changed consumer interaction and behavior patterns, including in purchasing decisions. Social media, especially TikTok, has become a strategic platform in marketing due to its interactive and visual content-based nature. Wardah, as a local cosmetics brand, utilizes TikTok through content marketing and Electronic Word of Mouth (E-WOM) strategies to strengthen brand awareness and encourage purchasing interest. This study aims to analyze the influence of content marketing and E-WOM on TikTok social media on the decision to purchase Wardah products. The research method used is quantitative with an associative approach. The research sample consisted of 97 respondents determined through purposive sampling. Data analysis was conducted using validity and reliability tests, descriptive analysis, classical assumption tests, hypothesis testing, multiple linear regression analysis, and the coefficient of determination R2. The results showed that content marketing had a positive and significant effect on purchasing decisions (t-count = 2.188; sig. 0.031). E-WOM also has a positive and significant effect (t-count = 15.020; sig. 0.001), with a more dominant effect than content marketing. Simultaneously, both social media have a significant effect on purchasing decisions (F-count = 119.690; sig. 0.001). The coefficient of determination (R²) of 0.718 indicates that 71.8% of the variation in purchasing decisions can be explained by both social factors, while 28.2% is influenced by other social factors outside the scope of this study. These findings confirm the importance of digital marketing strategies based on creative content and consumer reviews in increasing purchasing decisions for Wardah products on TikTok.

Student mental health is an important issue in higher education, yet many students remain reluctant to utilize counseling services. Several factors are suspected to influence students’ willingness to participate in counseling, including stress levels, social support, public stigma, and self-stigma. This study aimed to determine the relationship between stress level, social support, public stigma, and self-stigma with students’ intention to engage in mental health counseling. The research used a quantitative design with a cross-sectional approach. A total of 202 first-year nursing students from Campus I of Poltekkes Kemenkes Semarang were selected using a total sampling technique. The research instrument was a questionnaire that had been tested for validity and reliability, and data were analyzed using Spearman’s rho correlation test. The results showed that most students had a moderate level of stress (52.8%), adequate social support (58.1%), moderate public stigma (53.7%), and moderate self-stigma (55.3%). Students’ willingness to seek counseling was also in the moderate category (63.4%). Statistical analysis indicated a significant relationship between stress level (p=0.000), social support (p=0.002), public stigma (p=0.000), and self-stigma (p=0.000) with the intention to engage in mental health counseling. These findings highlight the importance of promotive and preventive approaches from educational institutions to enhance students’ awareness and access to mental health counseling services.

This study aims to analyze the influence of the implementation of an integrated digital accounting system on the performance of Micro, Small, and Medium Enterprises (MSMEs) in Bayan District. Design/Methodology/Approach: This study uses a quantitative approach, data is collected through a structured questionnaire distributed to 75 MSME actors. The data analysis techniques used include validity and reliability tests, simple correlation tests, simple linear regression, determination tests and t. The results of the study show that the application of digital accounting systems has a positive and significant effect on business performance Information quality is not able to mediate the relationship between the influence of digital accounting use on business performance in MSME actors. The results of this study empirically conclude that the use of digital accounting has a positive and significant effect on business performance in MSME actors, which means that the better the use of digital accounting carried out by MSME actors, the more likely it is to improve business performance in MSMEs.

This study aims to assess extent to which leadership, communication, and competence influence employee performance at Point Coffee Medan. The research was motivated by field findings that indicated a decline in work quality, such as delays in task completion, miscommunication among employees, and a lack of capability in carrying out tasks effectively. These issues highlight the need for improvements in human resource aspects, particularly in leadership style, communication effectiveness, and employee competence. A quantitative research method with a descriptive approach was employed. Data were collected through questionnaires distributed to 38 employees of Point Coffee Medan. The research instruments were tested for validity and reliability, and the data were analyzed using multiple linear regression. The goal of the study was to determine both the partial and simultaneous effects of the three independent variables on employee performance. The analysis results indicate that leadership, communication, and competence have a positive and significant impact on performance, both individually and collectively. Effective leadership helps guide and motivate employees in completing their tasks. Clear and open communication fosters collaboration and a harmonious work environment. Meanwhile, strong competence enables employees to work more efficiently, accurately, and productively. In conclusion, the improvement of employee performance is strongly influenced by the leader's ability to manage the team, the quality of internal communication, and the mastery of work-related competencies. Therefore, the company is advised to enhance these three aspects as part of its human resource management strategy

This study aims to explore the impact of Village-Owned Enterprise (BUMDes) governance on village economic independence, with a case study in BUMDes Dadirejo, Bandungrejo Village, Bayan District, Purworejo Regency. The focus of this study is to determine the extent to which good governance principles can encourage increased village economic independence, particularly in terms of increasing Locally-Owned Income (PADes) and empowering village communities. This study uses a quantitative descriptive-verification approach, involving 60 respondents consisting of village officials, BUMDes managers, and community representatives. Data collected through questionnaires, interviews, and documentation were analyzed using validity, reliability, correlation, and regression tests using SPSS. The results show that good BUMDes governance has a positive and significant influence on village economic independence. The application of the principles of transparency, accountability, participation, responsibility, and institutional independence in BUMDes contributes to increasing local economic capacity and community participation in village development. These findings confirm that BUMDes management based on the principles of good governance can be a major catalyst in achieving sustainable rural development and improving the welfare of village communities.

This study evaluates the consistency of transmitter level performance through calibration data obtained from the Instrumentation Maintenance Unit of the Cilegon PLTGU. The purpose of this study is to determine the accuracy, linearity, and stability of transmitter output against standard reference values. Qualitative methods were used, including direct observation, interviews, and literature studies to support the analysis of calibration procedures. Calibration data from the Masoneilan 12420-51 and Yokogawa EJA210E transmitters were analyzed using a comparative approach between normal and abnormal calibration results. Classification was based on the difference between the actual output and the 4–20 mA standard signal, with a tolerance limit of ±0.25% in accordance with ISA and IEC calibration standards. The results of the study show that the Level-3 Deaerator Storage Tank transmitter operates within the normal range, with excellent linearity and accuracy, while the Flash ST Tank Level transmitter shows minor deviations outside the tolerance limit, categorized as abnormal. These deviations suggest the potential for drift or zero shift influenced by environmental factors and aging. This study concludes that periodic calibration is necessary to maintain tranmitter performance reliability and ensure accurate signal transmission in the automatic control system at the Cilegon PLTGU facility.

In the modern computing era, servers face significant challenges in data storage due to hardware failures, cyber attacks, or human errors. The problem highlighted focuses on the impact of file systems on three critical aspects: data integrity (accuracy and consistency of data without corruption), data recovery (the ability to restore data after a failure), and failure resilience (fault tolerance, such as redundancy and journaling to prevent downtime). The main issue is that traditional file systems like FAT32 or NTFS are often susceptible to fragmentation, metadata loss, or long recovery times, which can lead to data loss of up to 20-30% on enterprise servers, especially in high-traffic environments like cloud computing.A simple problem-solving process is conducted through a straightforward comparative analysis approach: (1) A literature review of popular file systems (ext4, ZFS, Btrfs); (2) Failure simulations using tools like fsck and stress testing on virtual servers (e.g., via KVM or Docker); and (3) Measuring performance metrics with benchmarking tools like Bonnie++ for I/O throughput, recovery time, and error rates. This process is designed to be simple, requiring only a virtual lab setup without expensive hardware, and is analyzed quantitatively with descriptive statistics.The solution to the problem indicates that advanced file systems like ZFS or Btrfs provide significant improvements: data integrity is up to 95% more secure through automatic checksums, data recovery is achieved in minutes through snapshots and RAID integration, and failure resilience is higher with copy-on-write features. The main recommendation is to migrate to journaling-based file systems for servers, combined with automated backups, which can reduce the risk of downtime by up to 50%. This research provides practical guidance for system administrators to enhance server reliability without excessive additional costs.

This research aims to analyze the significance of the influence of personality, courage to take risks, income expectations on students' interest in entrepreneurship at Slamet Riyadi University, Surakarta. The types of data used in this research are quantitative. The data sources used are primary and secondary data. The sample in this research was 100 students at Slamet Riyadi University, Surakarta. The method used in sampling was proportional random sampling. Data collection techniques in this research used questionnaires. Test the research instrument using validity and reliability tests. The classical assumption test uses tests: multicollinearity, autocorrelation, heteroscedasticity and normality. Data analysis techniques use multiple linear regression tests, t tests, F tests, and R2. The results of the validity and reliability tests show that all statements regarding personality, courage to take risks, income expectations and interest in entrepreneurship are declared valid because the p-value is < 0.05 and reliable because Cronbach's alpha is > 0.60. The results of the classical assumption test show that all variables have passed the multicollinearity, heteroscedasticity, autocorrelation and normality tests with normal distribution. The results of the regression analysis obtained the equation Y = .612 + 0.221 X1 + 0.326 X2 + 0.556 X3 + e. The results of the t test show that personality (X₁), courage to take risks (X₂), and income expectations (X₃) have a significant effect on students' interest in entrepreneurship at Slamet Riyadi University, Surakarta. The results of the F test showed that the regression model used in this research was correct. The R² test results show that the contribution of the independent variable to the dependent variable is 45.5%, the remaining 54.5% is influenced by other factors outside the variables studied  

This research aims to determine the influence of tourist attractions, social media, and values on the interest in visiting the Cunca Wulang waterfall tourist village in West Manggarai Regency. This research uses a quantitative research method. The population in this study consists of all tourists who have ever visited the Cunca Wulang Waterfall Tourism Village in West Manggarai Regency. The sample in this study consists of 100 respondents. The sampling technique used in this study is purposive sampling, a sampling method based on the researcher's considerations, which is then processed using SPSS. The data collection technique in this study uses a questionnaire. The instrument testing technique in this study uses validity and reliability. And the data analysis technique in this research uses descriptive analysis, classical assumptions, multiple linear regression, coefficient of determination, and hypothesis testing. The results of this study are as follows. Based on the F-test results, an F value of 125.691 was obtained with a significance level of 0.000. This significance value is smaller than the 0.05 significance level, so it can be concluded that the regression model used in this study is statistically significant. In other words, simultaneously, the independent variables consisting of Value, Tourist Attraction, and Social Media significantly influence the dependent variable, which is the Interest in Visiting the Cunca Wulang Waterfall Tourism Village in Manggarai Barat Regency

This study aims to examine the influence of Career Motivation, Understanding of Motivation, and Family Environmental Factors on Interest in Becoming a Public Accountant. This study was conducted at Slamet Riyadi University and Sebelas Maret State University. The data used are quantitative. The data source is primary data. The entire population in this study was 1,330 accounting students at Slamet Riyadi University and Sebelas Maret State University. The sample used was 93 respondents. The sampling technique used was the Solvin equation and was tested using SPSS version 25. Data analysis techniques were descriptive tests, independent sample t-tests, validity tests, reliability tests, classical hypothesis tests, multiple linear regression tests, hypothesis tests, and model tests. The results of this study indicate that: (1) Career Motivation has a positive and significant influence on Interest in Becoming a Public Accountant, (2) Understanding of Motivation has a positive and significant influence on Interest in Becoming a Public Accountant, (3) Family Environmental Factors have a positive and significant influence on Interest in Becoming a Public Accountant

Pregnancy can trigger a maturity crisis that can cause stress. Stress in pregnant women is related to stress during pregnancy, childbirth, and postpartum. The purpose of this study was to examine factors related to stress levels in pregnant women facing childbirth. This type of research was an analytical survey with a cross-sectional approach conducted in the Lubuk Buaya Community Health Center Work Area from April 25 to May 7, 2022. The population was all pregnant women who visited the Lubuk Buaya Community Health Center Work Area in Padang in 2022, totaling 178 people, with a sample of 64 people, using an accidental sampling technique. Data were collected using a questionnaire with a validity analysis result of r>0.267 and a reliability test with a Cronbach's Alpha value>0.7. They were processed manually, using univariate and bivariate analysis with the chi-square test. The results of the study showed that 26.6% experienced moderate stress, 37.5% had poor family support, 37.5% had poor husband support, 40.6% had trauma, 46.9% had a personal readiness level in the unprepared category, and 46.9% had a heavy activity level. There is a relationship between family support and stress levels, there is a relationship between husband support and stress levels, there is a relationship between traumatic experiences and stress levels, there is a relationship between personal readiness levels and stress levels, and there is a relationship between activity levels and stress levels.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

University students frequently face various academic demands, such as coursework, research, field practice, and examinations. These pressures may lead to psychological stress that can trigger anxiety. If not properly managed, anxiety can negatively affect academic performance, social interactions, and students’ psychological well-being. The aim of this study was to examine the relationship between the intensity of Qur’an recitation and the level of anxiety among students. This research employed a quantitative descriptive design involving 103 students from the Department of Psychology, Padang State University as participants. The sampling technique used was nonprobability sampling with a purposive sampling approach. The instruments consisted of the Qur’an Reading Intensity Scale adapted from Pradika (2014) with a reliability coefficient of 0.721, and the Zung Self-Rating Anxiety Scale with a reliability coefficient of 0.829. Data were analyzed using Pearson’s product-moment correlation test. The findings revealed a significant negative correlation between the intensity of Qur’an recitation and students’ anxiety levels (r = -0.801; p = 0.000 < 0.05). This indicates that the more frequently students read the Qur’an, the lower their anxiety levels, and vice versa. Categorization results further showed that most students had a high intensity of Qur’an recitation (42.7%) and experienced low to moderate levels of anxiety (78.7%). These results reinforce previous studies suggesting that spiritual practices such as Qur’an recitation can serve as an effective spiritual coping strategy to foster tranquility, regulate emotions, and strengthen resilience in facing academic stressors. Therefore, Qur’an recitation can be recommended as a complementary approach to maintaining students’ mental health in higher education settings.

This study aims to analyze the effect of price, promotion, and location on customer satisfaction at The Daily Wash Laundry Kediri. This research employs a quantitative associative approach to examine the causal relationship among variables. The sample consists of 170 respondents selected through purposive sampling. Data were collected using a five-point Likert scale questionnaire and analyzed through validity and reliability testing, classical assumption tests, and multiple linear regression analysis using SPSS version 26. The results show that price, promotion, and location each have a positive and significant effect on customer satisfaction. Simultaneously, the three variables significantly influence customer satisfaction with a determination coefficient value of 0.908, indicating that 90.8% of customer satisfaction variation can be explained by these variables. These findings indicate that a combination of appropriate pricing, effective promotion, and strategic location significantly enhances customer satisfaction in the modern laundry service industry.

This study aims to analyze the influence of work facilities, competence, and work conflict on employee productivity at UD Karya Pala Kediri, both partially and simultaneously. The research employed a quantitative approach with a causal associative design. The population consisted of 36 employees, all of whom were included as respondents using a saturated sampling technique. Data were collected through questionnaires using a five-point Likert scale and analyzed using validity, reliability, classical assumption tests, and multiple linear regression analysis. The results indicate that work facilities, competence, and work conflict have a positive and significant effect on work productivity, both partially and simultaneously, with a coefficient of determination (R²) value of 0.862. This means that 86.2% of the variation in work productivity is explained by these three variables, while the remaining 13.8% is influenced by other factors outside the research model. The findings highlight that improving employee productivity can be achieved through adequate work facilities, continuous competence development, and constructive conflict management within the workplace.

This study aims to investigate the impact of Instagram social media use on deviant behavior among students at Campus 3 of Mercu Buana University in Yogyakarta. The phenomenon of increased intensity of social media use among students is the main basis of this study, in which Instagram not only functions as an instrument of communication and self-expression, but also as a medium that has the potential to trigger various forms of deviant behavior, such as cyberbullying, self-image manipulation, and social norm violations. The research method used integrates quantitative methods with descriptive design and simple linear regression analysis. Data was collected through a survey distributed to 100 active student participants, whose sample was determined using a simple random sampling method. Validity and reliability tests showed that all research instruments met the criteria for validity and reliability, as reflected in a Cronbach's Alpha value of 0.946. The relationship between Instagram and deviant behavior among students is represented by the regression equation Y = 2.300X + 0.641. These findings indicate that an increase in the frequency of Instagram use correlates with an increase in the potential for students to adopt deviant behavior. It is hoped that this study can serve as a basis for improving digital literacy and educating students on the ethical use of social media in a university environment.

PT. YGI, an automotive manufacturing company, uses the Press Injection GB-36 machine in its production process. However, this machine frequently experiences failures, causing high downtime and reduced production efficiency. This study aims to identify the types of failures, determine the most critical components, and propose a maintenance system using the Reliability Centered Maintenance (RCM) approach. The method used is descriptive qualitative, involving FMEA (Failure Mode and Effect Analysis), Logic Tree Analysis (LTA), and maintenance action selection. Data were collected through observations, historical failure documentation, and interviews. The analysis results indicate that components such as the injection nozzle, heating, and clamping are the most critical, contributing over 80% of total failures based on Pareto analysis and the highest RPN values in FMEA. Proposed maintenance actions include Condition Directed and Time Directed approaches. Additionally, the maintenance system is supplemented with standard operating procedures (SOP) and routine inspection schedules to improve machine reliability and reduce production downtime. This study is expected to enhance the efficiency and productivity of the Press Injection GB-36 machine at PT. YGI through the appropriate implementation of RCM.

This study aims to analyze the influence of price, service quality, and product quality on consumer satisfaction at Herbal Medicine MSMEs in Pare, Kediri. The research uses a quantitative associative approach to explain the causal relationship between variables. Data were collected through a questionnaire distributed to 133 respondents selected using accidental sampling. The instrument was tested for validity and reliability, followed by classical assumption tests to ensure data normality, linearity, and consistency. Data analysis employed multiple linear regression using SPSS version 25, with t-test and F-test used to examine partial and simultaneous effects, and the coefficient of determination (R²) to measure model strength. The results indicate that price, service quality, and product quality significantly influence consumer satisfaction, both partially and simultaneously. Service quality and product quality have a positive and dominant impact, while price shows a negative relationship, indicating that consumers remain sensitive to pricing changes. The model explains 76.4% of the variation in consumer satisfaction, confirming that maintaining service excellence and consistent product quality are key to improving satisfaction and loyalty among herbal medicine consumers.