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This research is motivated by concerns about the decline in communication quality and character values among youth due to the use of slang language that does not adhere to proper linguistic norms, particularly through the widespread use of social media. The aim of this study is to examine the influence of slang language used on social media on the development of character values among female students at STITMA Yogyakarta, as well as to explore their perspectives on this phenomenon in daily life. This study employs a quantitative approach with a correlational method. Data collection techniques include questionnaires, interviews, and documentation. The population consists of fourth- and sixth-semester female students from the Islamic Education (PAI) and Arabic Education (PBA) programs, with a sample of 75 students selected using proportionate stratified random sampling. The data were analyzed using validity, reliability, normality, homogeneity tests, and hypothesis testing through the Pearson Product Moment correlation test. The results show that the calculated r-value of 0.967 is greater than the critical r-value of 0.2272, indicating a significant and positive influence between the use of slang language and character values. Thus, slang language is proven to impact the character development of female students in today’s digital era.

This research analyzes user sentiment reviews of the KAI Access application from Google Play Store to improve customer service at PT Kereta Api Indonesia. The study uses a Natural Language Processing (NLP) approach with the Latent Dirichlet Allocation (LDA) algorithm to extract main topics from 10,000 reviews collected from April 2024 to April 2025. Analysis results show 40.7% positive sentiment reviews and 49.3% negative. After data preprocessing through case folding, normalization, tokenization, stopword removal, and stemming, seven optimum topics were found from negative sentiment with a coherence score of 0.508343 and two optimum topics from positive sentiment with a coherence score of 0.511673. Analysis based on five service quality dimensions (tangibles, reliability, responsiveness, assurance, and empathy) reveals that the reliability dimension becomes the main issue, including system instability, transaction failures, login difficulties, and data inaccuracy. The responsiveness dimension is the second priority, with users expecting fast and responsive service to complaints. The results of this study provide recommendations for PT KAI to prioritize improvements in system reliability and responsiveness aspects to enhance the overall user experience, which will ultimately impact customer satisfaction and loyalty.    

International airports are complex work environments with unique occupational health and safety risks. As hubs of intensive transportation activities, airports involve various operations, including flight services, passenger handling, cargo management, and fuel operations. Early detection of fuel leaks is crucial to ensure the aircraft’s fuel system is free from leaks, blockages, or potential fire hazards. This study aims to analyze the causes of fuel leakage and identify appropriate mitigation measures, using observation and literature review methods. The findings indicate that fuel leakage occurring while the aircraft is parked suggests damage to certain fuel system components, such as seal gaskets, sealants, and dome nuts, which may suffer from wear or cracking due to age-related degradation. Such damage poses serious risks, including fire hazards, corrosion to aircraft structures—particularly in hard-to-reach areas like the wings or fuselage—and a drop in fuel pressure that could impair engine performance or cause flight cancellations. To address these issues, thorough inspections of all fuel system components are essential. Additionally, the use of sensors to detect abnormal changes in fuel pressure and flow, combined with rigorous leak testing after repairs, is recommended to ensure operational safety and reliability.

This study aims to determine whether there is an influence of parenting patterns on the independence of children in orphanages in Alang-alang lebar sub- district. The method used in this study is quantitative with a correlational research type. The population of this study was all children aged 5-6 years who lived in orphanages in Alang-alang lebar sub-district. The sample in this study was 20 children in orphanages in Alang-alang lebar sub-district with a random sampling method. Data collection techniques used were observation, questionnaires and documentation. After collecting the results of the questionnaire answers that had been distributed, the researcher processed the data using the SPSS Version 26 Program. The data analysis used was validity testing, reliability testing, simple linear regression, hypothesis testing and determination coefficient testing. After the analysis test was carried out, the calculated t > t table (8.956 > 2.093) and sig< 0.005 were obtained. Because the calculated t > t table, Ho was rejected and Ha was accepted, meaning that there was an influence of parenting patterns on the independence of children in the Alang-Alang Lebar Sub-district Orphanage.

The advancement of technology within organizations supports companies in innovating their work systems more efficiently and effectively. Technological sophistication has transformed the organizational work environment by enabling hybrid models that combine remote and in-office work. This research aims to examine the influence of hybrid work arrangements and dual role conflict on employee performance in Indonesia’s pharmaceutical sector. Data were gathered through a questionnaire distributed via Google Forms to 185 employees working in the pharmaceutical industry across Indonesia. The data analysis was conducted using SPSS version 27. The research instruments were tested for validity and reliability; validity was assessed through Confirmatory Factor Analysis (CFA MSA), including Kaiser-Meyer-Olkin (KMO), Anti-Image, and Factor Loadings. Normality was examined using the one-sample Kolmogorov-Smirnov test. Hypothesis testing employed multiple linear regression and t-tests. The findings indicate that both hybrid work systems and dual role conflict have a positive and significant impact on employee performance.

This meta-methodological study evaluates 127 research articles on war-induced trauma in the Middle East, published between 2000 and 2023, with the aim of developing a methodological standardization framework capable of addressing the region-specific contextual complexity. The findings reveal a marked degree of heterogeneity in the methodological approaches employed (χ² = 78.45, p < .001), with 42.5% of the studies utilizing cross-sectional designs, 28.3% employing longitudinal methods, and 29.2% adopting mixed-methods approaches. Meta-regression analysis indicates a highly significant correlation between methodological rigor and the validity of research findings (r = .78, p < .001), reinforcing the importance of consistency in study design. The evaluation of instrument reliability reveals significant variation (α = .65–.92), with instruments based on DSM-5 criteria demonstrating the highest level of internal consistency (M = .86, SD = .08). Further analysis identifies five core components as critical in the methodological structuring of trauma studies within Middle Eastern conflict zones, namely cultural validation of instruments (β = .45, p < .001), data source triangulation (OR = 2.34, 95% CI [1.87–2.81]), contextualization of traumatic experience (R² = .56), sensitivity to conflict dynamics (κ = .82), and the application of ethics tailored to the local context (ICC = .79). These findings extend the work of Bush and Duggan (2013) on methodological biases rooted in Western epistemologies. Additionally, they advance the conclusions of Patel and Hall (2021) regarding the absence of cultural validity in cross-conflict studies, as this research introduces an integrated methodological framework that systematically synthesizes local perspectives with international scientific standards. The primary contribution of this study lies in the development of the Trauma Research Standardization Index (TRSI), a newly designed instrument intended to assess methodological alignment with the specific conflict context of the Middle East. The TRSI demonstrates verified construct validity (construct = .88) and high test-retest reliability (.92), making it a potentially valuable tool in standardizing trauma research across Middle Eastern contexts.

Web-based 4-tier instrument analysis on dynamic electricity material is one of the diagnostic tests that can determine the extent of understanding of the concepts that students have according to the level of confidence of the answers and the reasons they answer. The purpose of this study was to determine the feasibility of the instrument using Rasch Model analysis. Rasch Model analysis is assisted by Winstep software to analyze the scores generated from test instruments with the aim of knowing MNSQ Outfit, ZSTD Outfit, Item Measure, Item fit order, Item reliability, and Alpha Cornbach. This research is a descriptive type with quantitative descriptive research methods. The sample of this study was taken from the population derived from class XII students with a total of 91 people who have learned the concept of dynamic electricity in Jember city with purposive sampling technique. The instrument used was a web-based Four-tier diagnostic test consisting of 30 questions. The Rasch Model analysis results stated that the person reliability values of 0.76 and 0.78 were in the sufficient category, the item reliability values of 0.93 and 0.94 were in the excellent category, and the Cronbach Alpha Alpha (reliability) value of 0.78 was in the good category, indicating that the interaction between respondents and items was in the good category. This shows that the diagnostic test instrument is feasible, valid, and reliable.

This study aims to analyze the aircraft maintenance procedures following a bird strike incident on Engine #1, focusing on incident identification, maintenance actions taken, damage evaluation, follow-up recommendations, and compliance with aviation industry standards. Data for the study were obtained through official technical documentation such as the Technical Standard Manual (TSM) and Aircraft Maintenance Manual (AMM). Data analysis was conducted using the Miles & Huberman method, which includes stages of data collection, data reduction, data presentation, and conclusion drawing. Data validity was ensured through source triangulation, relying on various related documents to strengthen the findings. The results showed that the maintenance procedures applied were in accordance with international standards. Post-incident maintenance was carried out systematically and well-documented, with no procedural violations or technical neglect. The damage evaluation of Engine #1 revealed that the corrective actions implemented were effective, ensuring the aircraft's safe return to service. Recommendations for further maintenance include enhancing supervision of existing procedures. Overall, the post-incident maintenance met best practices in the civil aviation industry, ensuring aircraft safety and reliability.

This study aims to examine consumers' perceptions of price influence their decision to purchase local coffee brand Kopi Tuku. Price perception is regarded as a key element influencing purchasing decisions, as consumers tend to judge price based on its quality, benefits, and nominal value. This study conducted quantitative research by surveying 395 Kopi Tuku consumers. Validity, reliability, classical assumptions, simple linear regression analysis, and t and F tests were used. The findings indicated that price perception significantly influences purchase decisions, as demonstrated by a computed value of 22.006 that is higher than the t-table and a significance value of 0.000. In addition,the value of 0.552 for the coefficient of determination (R²) indicates that price perception is responsible for 55.2% of the variation in purchasing decisions. The results suggest that in order to increase customer purchasing choices, Kopi Tuku should maintain a pricing strategy that is reasonable, competitive, and aligned with the worth of the available goods.

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 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 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 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.

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.    

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 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.

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.