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This study aims to identify the relationship between Social Media Addiction and Sleep Quality of Jambi University Psychology Students. This study uses quantitative research with a correlational test approach. The sampling technique was random sampling with the study population consisting of 88 Jambi University Psychology students class of 2024. Data collection was carried out through questionnaires distributed to 88 students of the Jambi University Psychology Department. Data analysis includes two approaches: (1) descriptive analysis, 2) normality testing, 3) validity and reliability testing, and 4) hypothesis testing using Spearman's rho correlation. Based on the results of the analysis in this study, it shows that there is no relationship between Social Media Addiction and Sleep Quality of Psychology Students of Jambi University (UNJA). This is evidenced by the p value having a value of 0.402. The p value has a value greater than 0.05 so that the Working Hypothesis (H1) is rejected and the Null Hypothesis (H0) is accepted.

This study aims to analyze the influence of brand equity, brand loyalty, work productivity, and organizational commitment on consumer satisfaction at the Medan Palm Oil Research Center. The research method used is a survey with data collection through questionnaires distributed to consumers who interact with the Medan Palm Oil Research Center. The results of this study are compiled based on data analysis conducted to test the influence of brand equity, brand loyalty, work productivity, and organizational commitment on consumer satisfaction at the Medan Palm Oil Research Center. This study involved 177 respondents who were consumers of products from the Medan Palm Oil Research Center. The results of the validity test shown in the table above obtained the results of the correlation coefficient with the highest validity of 0.9123 and the lowest correlation coefficient of 0.0520. The results of the validity test show that the correlation coefficient between the score of each instrument item and the total score of all statement items is greater than 0.3. This means that it can be concluded that all indicators in this study are declared valid. The results of the reliability test shown in Table 3 can be concluded that all of the instruments are reliable because the Cronbach's Alpha of each instrument is greater than 0.60 so that it can be used to conduct research.

This study aims to test and determine how important the influence of Independence and Work Experience is on audit quality at Public Accounting Firms (KAP) in East Jakarta. The research method used is quantitative because it has conducted tests using SPSS such as respondent identity, gender, age, last level of education, length of service and also conducted classical assumption tests, namely data validity, data reliability, data linearity, multicollinearity, heteroscedasticity, autocorrelation test, simple linear regression, multiple linear regression, coefficient test, correlation coefficient test and also partial and simultaneous hypothesis tests. This study proves that the influence of independence and work experience as variables that are very influential, an auditor must have these two integrities with a responsible basis in order to provide good and quality audit results.

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

This study aims to determine the effect of financial literacy, financial behavior and overconfidence on investment decisions in generation Z of the Faculty of Economics, Islamic University of Kadiri. This type of research is quantitative research. The data for this study were obtained through questionnaires and literature studies. The analysis techniques used were Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-test, F-test and Determination Coefficient Test. The results of the t-test of the financial literacy, financial behavior, overconfidence variables on investment decisions with sig <0.05. The results of the F test can be concluded that financial literacy, financial behavior, overconfidence on investment decisions have a simultaneous and significant effect with sig. <0.05.

The village government has an important role in providing direct services to the community, both administrative, social, and other services related to the daily needs of residents. The quality of public services is one of the main indicators in assessing the success of village government administration (Irawan, 2017). According to Parasuraman, Zeithaml & Berry (1988), service quality can be measured through five dimensions, known as the SERVQUAL theory, namely: Tangibles, Reliability, Responsiveness, Assurance and Empathy. This study uses a descriptive qualitative approach with a purposive sampling method. This study uses interactive data analysis according to Miles and Huberman which includes three stages: data reduction, data presentation and drawing conclusions/verification. The conclusion is that the quality of public services at the Macanputih Village Office is running quite well but not evenly distributed. The services provided by officers show good intentions and openness, but there are still some weaknesses, namely: Lack of adequate facilities and infrastructure, Delays in completing administrative services, Differences in attitudes and abilities between officers in responding to residents, and the absence of a clear service flow.

Nonlinear dynamical systems represent a fundamental area of study in applied mathematics due to their relevance across various disciplines, including physics, biology, and engineering. Their inherent complexity, characterized by phenomena such as bifurcation, chaos, and sensitivity to parameter variations, often limits the effectiveness of traditional manual analysis, particularly when addressing high-dimensional or computationally intensive models. This study aims to address these challenges by applying computational modeling and numerical simulation techniques to analyze the stability of nonlinear dynamical systems. The research employs analytical methods, including equilibrium point identification and linearization, which are then validated and extended through the fourth-order Runge-Kutta numerical method. Simulations were conducted to visualize equilibrium points, phase portraits, and parameter-driven bifurcation phenomena. The findings demonstrate a strong correspondence between analytical and numerical approaches, with minimal error margins (≤1%) observed in equilibrium point estimation, thus confirming the reliability of computational methods. Moreover, the bifurcation analysis revealed critical transitions such as pitchfork and Hopf bifurcations, which indicate sudden shifts from stability to instability behaviors that are difficult to capture through manual calculations alone. The integration of computational approaches provides clear advantages, offering systematic exploration of parameter spaces and detailed visualizations of system dynamics, thereby expanding the scope of stability analysis. In conclusion, this study emphasizes that computational modeling is not only an effective complement to analytical methods but also a necessary strategy for advancing the understanding of nonlinear dynamical systems in applied mathematics.  

This study aims to determine the influence of emotional intelligence on self-adjustment among first-year Psychology students at Padang State University. Using a quantitative, correlational design with a survey method, data were collected from 82 students selected through purposive sampling. Two Likert-type scales were used: the emotional intelligence scale (42 items, reliability = 0.839) and the self-adjustment scale (40 items, reliability = 0.825). The data were normally distributed (p = 0.143 for emotional intelligence; p = 0.199 for self-adjustment) and showed a linear correlation (p = 0.000). Simple regression analysis revealed a significant influence of emotional intelligence on self-adjustment (p = 0.000; p < 0.05). The relationship was positive and unidirectional, with an R-square value of 0.514, indicating that emotional intelligence accounts for 51.4% of the variance in self-adjustment. The regression analysis also produced a constant (a) of 38.284 and a regression coefficient (b) of 0.685, demonstrating that higher emotional intelligence corresponds with better self-adjustment in students.    

Retirement represents a crucial period in the existence of every individual that requires careful financial planning. This study aims to examine the influence of partial financial literacy on pension fund planning for workers in Bekasi Regency and partial future orientation on pension fund planning for workers in Bekasi Regency. The research method employed involved a sample of 100 employees in Bekasi Regency.. The method employed for gathering data was a questionnaire. The collection of samples approach employs probability sampling through a staightforward random sampling technique. The analysis methods used were validity, reliability test, t-square and R-square test. The analysis tool used is PLS (Partial Least Square) where the processing uses Smart PLS 4.0 software. The study’s findings indicated that financial literacy did not influence pension fund planning  for workers in Bekasi Regency with a p value of 0.164, future orientation had a significant effect on pension fund planning for workers in Bekasi Regency with a p value of 0.000. The R Square value of the results of this study is 33.9%. This study is anticipated to deliver the  development of research knowledge in the field of financial science related to pension fund planning and for workers in Bekasi Regency may be utilized in an attempt to enhance pension fund planning. Advice for workers in Bekasi Regency to improve financial literacy, future orientation and education about the importance of pension fund planning. The more aware and motivated workers are about their financial needs in retirement, the more likely they are to plan for retirement well. It is anticipated for the upcoming researcher to delve deeper into alternative factors that affect pension fund planning, further increase the research sample and broaden the range od the research subject.

This study aims to determine the influence of leadership style and communication on employee performance at PT. Baby Bar Indonesia. The background of the research is based on the crucial role of leadership and communication in improving work effectiveness and organizational competitiveness amid globalization and technological advancement. This research employs a quantitative approach with an associative method. The population consists of all employees of PT. Baby Bar Indonesia, totaling 50 individuals, with a saturated sampling technique. Data were collected through questionnaires and interviews, and analyzed using validity tests, reliability tests, simple and multiple linear regression, as well as t-tests and F-tests. The results indicate that both leadership style and communication significantly influence employee performance, both partially and simultaneously. A participative leadership style and effective communication were found to enhance employee motivation and work productivity. The study recommends improving two-way communication patterns and implementing a more open and supportive leadership approach to optimize employee performance.

This study aims to determine the influence of Work Motivation, Work Environment, and Job Satisfaction on Employee Productivity at PT. Nihon Seiki Indonesia. This research is motivated by the phenomenon of declining employee productivity as shown by the non-achievement of work targets in recent months. This problem indicates the possibility of a decline in internal quality that needs to be evaluated, such as low motivation, less supportive work environment conditions, and less than optimal job satisfaction. This decline can also have an impact on the company's overall performance, including in terms of efficiency, production quality, and customer satisfaction that are declining over time. The method used in this study is a quantitative method with a descriptive and verifiable approach. The data collection technique was carried out through the distribution of questionnaires to 90 employees as a sample of the total population of 115 employees working in the company. The research instrument was tested through validity and reliability tests. Data were analyzed using multiple linear regression analysis, t-test (partial), F test (simultaneous), and determination coefficient (R²) test, with the help of SPSS software version 26. The results of the study show that Work Motivation, Work Environment, and Job Satisfaction have a significant effect on Employee Productivity, both partially and simultaneously. These findings confirm that the increase in employee work productivity is not only dependent on external factors such as technology and management systems, but is also highly determined by internal factors that are directly related to individual comfort and satisfaction at work. Therefore, company management needs to focus more on efforts to create a conducive work environment, build strong motivation, and increase employee job satisfaction as a strategy to optimize productivity. In addition, continuous training and effective communication between teams also need to be improved to maintain morale, collaboration, and the achievement of overall organizational targets.

This study aims to analyze the effect of training and compensation on employee performance at the Women's Empowerment, Child Protection, and Family Planning Office of Waropen Regency, and to identify variables that have a dominant influence. The focus of the study is directed at efforts to improve employee performance through measurable and targeted human resource development strategies. This study uses a quantitative descriptive method with data collection techniques through field observation, questionnaire distribution, and document review. The study population includes all 39 employees of the office, with a census sampling technique so that all members of the population are respondents. The research instrument was tested for validity and reliability, while data analysis was carried out using multiple linear regression tests and t-tests using the SPSS version 23 program for Windows. The test results show that training has a significant effect on employee performance, with a significance value of 0.011 and a calculated t of 2.678 > t table 2.02269. Furthermore, compensation also has a significant effect on employee performance, with a significance value of 0.009 and a calculated t of 2.755 > t table 2.02269. Beta coefficient analysis shows that compensation has the most dominant influence on employee performance, with a Standardized Coefficient Beta value of 0.440. This finding indicates that improving training quality and providing adequate compensation can contribute significantly to employee performance in local government agencies. Planned, task-relevant training accompanied by fair compensation will motivate employees to perform optimally. Based on the research results, it is recommended that management strengthen competency-based training programs and review the compensation system to better align with employee contributions. This is expected to serve as a policy basis for efforts to improve performance and achieve organizational goals sustainably.

This research aims to identify the extent to which economic units apply accounting rules as well as identify similarities or differences between what was applied by them and the requirements of the accounting base and indicate the impact of these differences on the financial statements and then on the financial ratios used in the analysis of these statements to help enhance well as help improve tax transparency. Research applied in Iraqi Tax Authority on 2021, 2022, and 2023, where the Authority's financial statements were analyzed to identify the basic points can be enhanced and tax transparency can be improved. The research reached several conclusions, the most important of which is that the most important of which is to follow the accounting rules for each item comprised in the financial declarations that help companies reduce the disparity that can exist in the treatment of a particular item of the financial statements, and thus increase the confidence of users of the lists with the information they contain and this was evident in the research sample when applying the accounting rules.

This study aims to determine the influence of Digital Marketing, Taste and Promotion variables on Purchasing Decisions at Mi Ayam and Bakso 45 Burengan. This type of research is quantitative research. The data for this study were obtained through questionnaires, interviews, and literature studies. The analysis techniques used were Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-test, F-test and Determination Coefficient Test. The results of the t-test of the digital marketing, taste and promotion variables had a significant partial effect on purchasing decisions with sig <0.05. The results of the F test can be concluded that digital marketing, taste and promotion have a simultaneous and significant effect on Purchasing Decisions at Mi Ayam and Bakso 45 Burengan with sig. <0.05.

This paper aims to overcome the problem of manual financial recording that is still commonly used by MSMEs, which often causes data loss and inefficiency in financial management. To answer this challenge, researchers developed a mobile-based financial recording application using Flutter and a number of available supporting packages. This application is designed to be able to record and store income and expenditure data directly on the user's mobile device, making it easier for MSMEs to monitor their financial condition in real time. The development was carried out using a waterfall model approach, which includes the stages of analysis, design, implementation, and testing. To test the functional performance of the application, the Black Box testing method is used to assess the accuracy and reliability of the features without looking at the internal code structure. The test results show that all features can function as they should and the application is considered effective in supporting digital MSME financial recording.

The purpose of this study was to determine the quality of the Odd Semester Final Summative Questions for the Automotive Basic Engineering Subject for Class X SMK TKM Pertambangan Kebumen using the Anates V4 Application. The exam question data, answer keys, and all students' answers were collected through data collection documentation techniques. Furthermore, using the Anates version 4.02 program, item analysis will be carried out to assess the validity, reliability, level of difficulty, discriminatory power, and effectiveness of distractors. This research method is quantitative descriptive research, the data analyzed is not used to accept or reject the hypothesis; instead, the results of the analysis show a description of the observed symptoms, which are represented by numbers or coefficients between variables. The results showed that 95% of the odd semester final summative questions for the Automotive Basic Engineering subject for Class X SMK TKM Pertambangan Kebumen using the Anates V4 Application had validity, with 5% being invalid. For reliability, the questions had a reliability coefficient of 0.78, which indicated that it had a high coefficient. Furthermore, based on the level of difficulty, 2% were included in the easy category; 40% were included in the moderate category; 55% are in the difficult category; and 3% are in the very difficult category. In terms of discrimination power, 25% are in the good category; 57% are in the sufficient category; and 18% are in the poor category. All distractors function well on 90% of the questions.

Using a descriptive method with a triangulation approach including observation, document analysis, and interviews this study ensures data reliability. Daily monitoring is conducted on wastewater flow and pH levels, while monthly laboratory analysis covers eight key parameters: Total Suspended Solids (TSS), iron (Fe), copper (Cu), zinc (Zn), total chromium (Cr), phosphate (PO³), oil and grease, and pH to evaluate the perfomance of the treatment system. The treatment process begins with the inflow of 960 m³ of wastewater per day into the storage pond, where aeration is applied to ensure homogenization before being transferred to the neutralization unit. pH adjustment is carried out by adding NaOH or HCl before the wastewater undergoes coagulation and flocculation stages. The study’s findings indicate that the WWTP meets the environmental quality standards established in accordance with the Decree of the Head of the Investment Coordinating Board of the Republic of Indonesia (2020), Number SK.214/1/KLHK/2020 concerning the Permit for Wastewater Disposal into the Sea on Behalf of PT Pembangkit Jawa Bali Unit Pembangkitan Gresik. This study emphasizes the importance of systematic monitoring and treatment in wastewater management.

One of the important indicators in hospital quality standards is the level of patient satisfaction with the services provided. Therefore, improving the quality of health services is very crucial, not only in the medical aspect, but also in terms of communication and empathy of health workers to patients. This study aims to determine the description of the quality of service of registration staff at the outpatient polyclinic of General Hospital X, South Jakarta, in 2023, based on patient perceptions. This study is a quantitative study with a descriptive approach, conducted on 50 respondents. Data were collected using a questionnaire covering five dimensions of SERVQUAL: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Data analysis was carried out by presenting the frequency distribution and percentage of each service dimension. The results showed that: in the Tangibles dimension, 66% of respondents rated it good and 34% less good; Reliability, 70% good and 30% not good; Responsiveness, 52% good and 48% not good; Assurance, 72% good and 28% not good; and Empathy, 66% good and 34% less good. In conclusion, although most respondents rated the service of the registration staff as good, there are still aspects that need to be improved. Improving the overall quality of service, especially in the dimensions of Responsiveness and Empathy, is needed as a strategic step in an effort to increase patient satisfaction and loyalty.

Excessive use of mobile phones can impact children's emotional intelligence development. This study aims to analyze the relationship between the duration of mobile phone use and emotional intelligence among students in grades 4–6 at SD Negeri 2 Kedungwringin. This research employed a quantitative approach with a cross-sectional design. The sample consisted of 43 students selected using accidental sampling. Data were collected through a questionnaire that had been tested for validity and reliability. Data analysis was conducted using the Spearman Rank test. The results showed that the majority of students used mobile phones for a short duration (<2 hours) at 58.1%, moderate duration (2–3 hours) at 27.9%, and excessive duration (>3 hours) at 14.0%. Statistical analysis revealed a significant negative correlation between the duration of mobile phone use and children’s emotional intelligence, with a p-value of 0.010 (<0.05) and a correlation coefficient of -0.387. This indicates that the shorter the duration of mobile phone use, the better the child's emotional intelligence. The conclusion of this study is that there is a significant relationship between the duration of mobile phone use and the emotional intelligence of students in grades 4–6. Therefore, it is recommended that parents and teachers supervise and regulate children's mobile phone usage to support healthy and optimal emotional development.

Pressure vessels are critical components in the energy industry, used to store and process high-pressure fluids. The structural reliability of these vessels plays a pivotal role in ensuring operational safety and system efficiency. This study aims to analyze the design and reliability of pressure vessels using both numerical and experimental approaches to optimize performance and enhance safety factors. The numerical method was conducted through Finite Element Analysis (FEA) using ANSYS software to evaluate stress distribution, stress concentration, and potential failure modes under various operational load scenarios. Meanwhile, the experimental method involved hydrostatic pressure testing, strain measurements using strain gauges, and displacement analysis to validate the numerical simulation results. Data were collected from simulations and laboratory experiments, then analyzed quantitatively by comparing key parameters such as stress distribution, deformation patterns, and safety factors against industry standards. The results indicate that combining numerical and experimental approaches improves the accuracy of pressure vessel behavior predictions, enables more efficient design optimization, and enhances structural reliability. In conclusion, the methods applied in this study can serve as a reference for developing safer, more efficient pressure vessel designs that comply with industrial standards, thereby supporting improved safety and operational efficiency in the energy sector.