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The development of Islamic banking activities in Indonesia currently is not matched by adequate understanding among students, particularly regarding the rights and obligations of customers, Sharia contract literacy, and consumer protection mechanisms. This Community Service Activity aims to enhance the understanding of Muara Bungo University students regarding customer rights and obligations, complaint procedures, basic sharia contract literacy, prevention of detrimental service practices, and the resolution process for sharia banking consumer disputes. The activity was attended by 50 students from all faculties and department, conducted using the Participatory Action Research (PAR) approach through the stages of problem identification, planning, implementation with interactive lecture methods, and evaluation. The results of the activity showed a significant increase in understanding, marked by the growing awareness of participants regarding the rights and obligations of customers, understanding of Islamic banking contracts, as well as the ability to comprehend consumer protection concepts and the dispute resolution process effectively. Consumer protection literacy education has proven to have a positive impact on students in preparing themselves to face the banking world, both in the context of employment and business in the future.

The development of social media has brought significant changes in how individuals perceive themselves, especially among female university students who are in the stage of identity formation. Social media is not only used as a communication tool but also as a space that presents homogeneous beauty standards which can influence self-perception. This study aims to analyze the construction of beauty standards on social media and their impact on female students’ self-perception. The research uses a qualitative approach with a literature review method by analyzing 20  relevant academic articles published between 2020 and 2025. Data analysis was conducted using descriptive qualitative techniques, including data reduction, data presentation, and conclusion drawing. The results show that beauty standards on social media are constructed through repeated visual representations and reinforced by algorithmic systems, creating an idealized image of beauty. This condition encourages female students to engage in social comparison, leading to self-dissatisfaction and decreased self-confidence. However, these effects vary depending on individuals’ ability to filter and interpret information. This study highlights the importance of developing critical awareness in social media use to avoid being influenced by unrealistic beauty standards.

This research was conducted with the aim o modifying the behavior o children who are prepetratorso bullying at Tapak Suci Putera Muhammadiyah Jagakarsa, through group counseling methods using role playing techniques. The role playing technique is used as an effort to modify the behavior of children by exchanging roles between the bullying perpetrator and the bullying vicim, through this role exchange, which will directly build a sense of empathy for the children involved in bullying behavior. The research method used in this study is qualitative with a descriptive technique, in which all observations and research result will be explained in written form. The background of this study contains information on how the role playing technique in group counseling produces the growth of empathy in children who are perpetrators of bullying, so that with the formation of empathetic emotions, the bullying children at Tapak Suci Putera Muhammadiyah Jagakarsa can control themselves, leading to the realization of efforts to modify such behavior. The result of this study is that behavior modification using the group counseling methods with role playing techniques for children who engage in bullying was successful and optimal in changing the children’s bullying behavior into empathy and respect for others. Thereore, behavior modification using group counseling methods and role playing techniques for elementary school children has a positive and very effective impact in providing enlightenment on problematic behaviors in their social environment. 

The development of digital technology has significantly changed the way students interact and present themselves in social life, especially through social media such as Instagram, TikTok, and Twitter. One of the emerging social phenomena is flexing, which refers to the behavior of showing off lifestyle, achievements, or ownership to gain attention and social recognition. This study aims to analyze how Sociology students of Sriwijaya University interpret flexing on social media and whether flexing is more dominant as a lifestyle or as a form of social pressure. This research uses a qualitative method with a literature review approach by examining various scientific articles, journals, and previous studies related to flexing, self-presentation, symbolic consumption, social validation, and Fear of Missing Out (FoMO). The results show that flexing is not only a form of self-presentation and symbolic consumption, but also a response to social pressure in the digital environment.

This study aims to analyze the implementation of group guidance services in developing alpha girl characteristics among senior high school (SMA) female students. The method used is a literature review by examining various relevant sources, including books and scientific journals published within the last five years. The findings indicate that group guidance plays a significant role in shaping alpha girl characteristics through social interaction, group dynamics, communication skills, and participatory learning experiences. Through the stages of formation, transition, core activities, and termination, students gradually experience improvements in self-confidence, independence, leadership ability, and the courage to express themselves in social settings. This developmental process does not occur instantly but emerges through repeated experiences supported by a conducive group environment, effective facilitation from counselors, and continuous self-reflection. In addition, peer feedback within the group contributes to strengthening personal awareness and emotional maturity. Therefore, group guidance services can serve as an effective and systematic strategy in supporting the development of alpha girl characteristics among senior high school female students.

The development of digital technology has transformed trading patterns through the emergence of live shopping, a phenomenon that enables real-time interaction between sellers and consumers. Although it offers marketing efficiency, this model poses significant legal risks, including misleading information, promotional manipulation, and product non-conformity. This study aims to analyze legal certainty in consumer protection within live shopping transactions, examine the forms of business actors’ liability for consumer losses, and identify obstacles to regulatory implementation along with efforts to strengthen supervision.The research method employed is normative legal research using both a statute approach and a conceptual approach. The results indicate that legal certainty in consumer protection within this ecosystem is grounded in the integration of Law No. 8 of 1999 (Consumer Protection Law) as the lex generalis and Government Regulation No. 80 of 2019 (Electronic Commerce/PMSE) as the lex specialis, which recognizes the validity of real-time electronic contracts. The legal liability of business actors is strict liability in nature, in accordance with Article 19 of the Consumer Protection Law, and may also be construed as a tort (Article 1365 of the Civil Code) in cases involving distortion of visual information.However, the effectiveness of these regulations is hindered by the ephemeral nature of transactions and low levels of digital literacy. This study recommends the implementation of technology-based supervisory systems (suptech), strengthening the oversight function of platforms (PPMSE), and policy synchronization between the Ministry of Trade and the Ministry of Communication and Informatics in standardizing business actor verification to ensure the security of the digital commerce ecosystem.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study aims to know the decision-making strategies in individuals with pragmatic personality. The approach used was qualitative with a case study method. The subjects of the study consisted of three individuals who were selected using purposive sampling techniques based on pragmatic personality characteristics, i.e. oriented to results, efficiency, and practical considerations in decision making. Data were collected through semi-structured interviews and observations, then analyzed using thematic analysis. The results of the study showed that all three respondents had relatively similar decision-making patterns, namely starting with understanding the problem, followed by identification and evaluation of multiple alternatives, as well as considering the advantages and disadvantages of each option. In determining the final decision, pragmatic individuals tend to choose solutions that are realistic, simple, effective, and have the lowest risk yet provide the optimal benefit. Additionally, in the face of important decisions, respondents showed a cautious attitude by calming themselves, not rushing, as well as partially considering the opinions of others as additional evaluation material. Overall, the findings of this study suggest that pragmatic personality plays a role in forming logical, adaptive, and real outcome-oriented decision-making strategies in daily life.

This research is based on the reality that classroom management often tests teachers' emotional stability, especially when dealing with highly active students. This study focuses on how teachers use emotional intelligence to control themselves when facing challenging learning situations. The purpose of this study is to describe the forms of emotional regulation carried out by teachers and their influence on the effectiveness of classroom management. The research was conducted using a qualitative descriptive approach through observations and interviews with teachers. The results show that effective emotional management is carried out through several methods, such as increasing self-awareness to recognize stress triggers, pausing before responding to student behavior, and trying to understand the background of student activity through empathy. Teachers with good emotional intelligence tend to be able to direct student activity into more positive learning participation, rather than responding to it with reactive or authoritarian responses. This study emphasizes the importance of strengthening psychological aspects and emotional management skills in teacher professional development programs. Emotional maturity not only helps create a more harmonious classroom atmosphere but also forms the basis for inclusive learning interactions and supports the continuous development of student character.

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.

The Application Of Hallucination Management Using The Shutting-Out Technique For The Control Of Auditory Hallucinations In Schizophrenia Patients In The Angruk Ward Of Prof. Dr. Margono Soekarjo General Hospital, Purwokerto. Schizophrenia is a severe mental disorder often accompanied by auditory hallucinations. Auditory hallucinations may cause patients to talk to themselves, appear restless, and experience difficulty in controlling responses to internal stimuli. One non-pharmacological nursing intervention that can be applied is the rebuking technique, a strategy used to firmly reject or dismiss hallucinatory voices. This study aimed to examine the application of the rebuking technique in controlling auditory hallucinations in patients with schizophrenia. This research employed a descriptive case study design using a nursing process approach and was conducted from February 17 to 19, 2026, on a patient diagnosed with schizophrenia experiencing auditory hallucinations. The intervention was implemented over three days, with one session per day lasting approximately 15–20 minutes. The results showed an improvement in the patient’s ability to recognize and control hallucinations, as indicated by a reduction in self-talking behavior, increased awareness of hallucination onset, and the ability to independently apply the rebuking technique. In conclusion, the rebuking technique is an effective nursing intervention to assist patients with schizophrenia in controlling auditory hallucinations.

Natural Sciences or often known as (IPA) is a subject taught in Islamic Elementary Schools. Natural Sciences is the study of humans and the study of problems on how humans themselves develop their lives better. This study aims to determine the achievement of the science learning program of making simple water filters to improve the knowledge of MI students in Tenaru Village, Driyorejo District. This type of research refers to the Participatory Action Research (PAR) method approach. This method is a learning approach to solve problems, meet practical needs in society, produce knowledge, and encourage social change in society. Data analysis techniques in the Participatory Action Research (PAR) method for the science learning program of making simple air filters are carried out comprehensively and participatory. Data collection techniques are carried out through observation, conducting direct interviews to measure their level of knowledge, and documentation of practical results. The results of the study indicate that the science learning program of making simple air filters to improve the knowledge of MI students in Tenaru Village, Driyorejo District has proven effective in improving students' understanding of the concept of water filtration and the importance of maintaining water cleanliness. Through hands-on activities, students can observe the filtration process in action, understand the function of each layer of material, and gain a fun and contextual learning experience.

Aggressive behavior is one of the manifestations commonly found in individuals with mental disorders, and this can potentially cause harm both to themselves and to their surroundings. To address this condition, one non-pharmacological approach that can be implemented is the use of Mozart classical music therapy. This study aims to evaluate the impact of Mozart classical music therapy on patients who have the potential to exhibit violent behavior at Aceh Mental Hospital. The research activities were conducted from July 2 to 5, 2025. The research design adopted in this study is pre-experimental using the One group pretest-posttest Design method. The study subjects consisted of 15 inpatients who had been identified as being at risk for violent behavior, with sample selection carried out through purposive sampling. The findings of the study showed that the average score of signs and symptoms before the intervention was 5.73, with a score range of 3 to 8. After the intervention in the form of Mozart classical music therapy, the average score of signs and symptoms decreased significantly to 1.60, with a range between 1 and 2. Statistical analysis using the Wilcoxon Signed Rank test showed a Z value of -3.437 with a significance level of P = 0.000 (P < 0.05). Based on these results, it can be concluded that Mozart classical music therapy has a significant effect in reducing the risk of violent behavior in patients. Therefore, Mozart classical music therapy is recommended as an effective supportive intervention and can be routinely integrated into psychiatric care rooms.

Multicollinearity is one of the common issues in multiple linear regression that can lead to instability in the estimation of regression coefficients. This study aims to examine the impact of multicollinearity on regression models and to evaluate the use of Ridge Regression as an alternative estimation method. The study employs simulated data consisting of 1,000 observations, including one dependent variable and four independent variables designed to exhibit high correlation. The analysis begins with model estimation using the Ordinary Least Squares (OLS) method, followed by multicollinearity testing using the Variance Inflation Factor (VIF). The OLS results indicate that most independent variables significantly influence the dependent variable, with a coefficient of determination (R²) of 0.9863. However, the high VIF values reveal the presence of strong multicollinearity in the model. To address this issue, Ridge Regression is applied, with the optimal penalty parameter determined through cross-validation, yielding a lambda value of 4.201589. The results show that the regression coefficients in the Ridge model undergo shrinkage, resulting in greater stability compared to the OLS estimates. Model evaluation indicates that the Mean Squared Error (MSE) for the OLS model is 24.77, whereas the Ridge model produces an MSE of 29.72. Although the Ridge model exhibits a slightly higher MSE, it effectively mitigates the impact of multicollinearity and provides more stable parameter estimates.

From the beginning of creation, God had forbidden the fruit of the knowledge of good and evil, warning that anyone who ate it would face death. However, this warning was ignored when Eve, tempted by Satan's persuasion, chose to disobey God's command. This action led to sin, as it reflected a wrong decision and went against God's will. Originally, Adam and Eve lived in a state of holiness and freedom from sin. God Himself stated that humans were created in His image and likeness, meaning they possessed a purity and nobility that reflected His love. However, their decision to eat the forbidden fruit removed that purity. As a result, humans were separated from God's holiness and fell into sin. This is the basis for the teaching affirmed in Romans 3:23, which states that "all have sinned and fall short of the glory of God." This wrong choice had profound consequences, illustrating the importance of obedience to God's commands for maintaining purity and an intimate relationship with Him.

This article examines the pastoral phenomenon among the faithful, who firmly believe in the truth and infallibility of the Scriptures without feeling the need to interpret or explain the texts themselves. Based on limited interviews conducted, this study finds that this phenomenon does not arise from a lack of faith but rather from the Church’s teaching that emphasizes the authority of the Scriptures without allowing space for personal interpretation. The results of these interviews are combined with patristic sources and modern theological discussions to delve deeper into the integration of the truth of the Scriptures into the daily practice of the faithful. A tendency toward clerical interpretation has been found to hinder the sensus fidei, or the communal sense of faith, leading to an exaggerated fear of possibly misinterpreting the Scriptures. Therefore, an inclusive pastoral approach is needed, including through digital and catechetical media, to encourage the faithful to engage with the Scriptures within the bounds of ecclesiastical unity. This aims to ensure that the faith of the faithful is not only a matter of belief but is also practiced with true and comprehensive understanding.

The Fréchet distribution is one of the commonly used Extreme Value Distributions (EVDs) in statistical modeling and heavy-tailed data analysis, where it plays an important role in describing product lifetimes as well as climatic and financial phenomena. The estimation of its two parameters, namely the shape parameter and the scale parameter, is traditionally based on the Maximum Likelihood Estimation (MLE) method. However, maximizing the likelihood function for this distribution involves numerical difficulties, which necessitates the use of numerical optimization methods. In this study, we propose the use of the Aquila Optimizer (AO), a recent metaheuristic algorithm inspired by the hunting behavior of eagles, as an efficient numerical tool for maximizing the likelihood function of the Fréchet distribution. The objective function was formulated as the negative log-likelihood function (-LogL), and the Aquila Optimizer was employed to obtain the optimal estimates of the distribution parameters. Several simulation experiments with different sample sizes were conducted to compare the performance of the proposed method with a conventional approach represented by the Nelder–Mead method, using the Mean Squared Error (MSE) criterion. The simulation results demonstrated that the Aquila Optimizer outperformed the Nelder–Mead algorithm in many cases, although the superiority was slight. The results also showed that both algorithms were consistent, as their MSE values decreased with increasing sample size. In addition, a practical application was carried out using real data, and the results of the survival function estimation indicated a good fit.

This study analyzes law enforcement related to the application of the death penalty with a ten-year probation period as stipulated in the Criminal Code (KUHP). The results of the study show that the enforcement of the conditional death penalty is carried out in three stages, namely the formulation, application, and implementation stages. The formulation stage is reflected in the establishment of the death penalty as a special alternative and conditional punishment in Law Number 1 of 2023, the application stage is carried out through the application of norms by law enforcement officials, while the implementation stage relates to the execution of court decisions against convicts. The change in the construction of the death penalty from an absolute primary punishment to an alternative and special conditional punishment has fundamental legal implications for the criminal justice system in Indonesia, especially with the existence of discretion for judges and law enforcement officials to assess the possibility of changing the type of punishment based on the convicted person's remorse and efforts to reform themselves during the probation period.

This article examines Numbers 22:21–35 through narrative analysis and theological irony. The pericope of Balaam's talking donkey is one of the most unique narratives in the Hebrew Bible, combining supernatural elements with a profound theological critique of a mercenary prophet. This study aims to reveal how the author employs narrative irony as a vehicle for divine rebuke: God uses a mute animal to reprimand a prophet who should have been sensitive to His word. Using the narrative exegesis method that attends to plot, characterization, point of view, and dramatic tension, this article traces the theological meaning behind the irony. Findings indicate that this narrative is not merely miraculous but contains a critique of Balaam's ambiguous motivations between loyalty to God and temptation by material reward. The donkey, ordinarily silent, becomes an instrument of divine correction more obedient than the prophet himself. The theological implication is that God sovereignly uses any means to convey His will, including what is weak and despised by human standards.

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.