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This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.

This study aims to comprehensively examine the concept of intention and the recitation of Surah Al-Fatihah in prayer from the perspective of the four imams of the schools of jurisprudence: Hanafi, Maliki, Shafi’i, and Hanbali. The background of this study is based on the existence of differing opinions among scholars, which often cause confusion among the public regarding the correct practice of prayer. The method used is qualitative research in the form of a literature review (library research), through data collection from classical fiqh texts, scientific journals, and other relevant literature. The data analysis technique employs a descriptive-comparative approach to identify the similarities and differences in the views of each school of thought. The results of the study indicate that all schools of thought agree that intention is an act of the heart that constitutes a valid condition for prayer, yet they differ regarding the timing of its performance and its verbalization. Regarding the recitation of Surah Al-Fatihah, the Shafi’i school mandates it as a pillar in every rak’ah, whereas the Hanafi school does not consider it a pillar. The Maliki and Hanbali schools adopt a moderate stance by granting leniency under certain conditions. These differences reflect the richness of Islamic jurisprudence, which is dynamic and flexible. This study is expected to provide a more comprehensive understanding and foster an attitude of tolerance in addressing differences in worship practices.

This study aims to analyze the influence of organizational culture on employee performance through job satisfaction at the Banda Aceh City Environmental, Sanitation, and Beautification Office. This study employs a quantitative approach using an associative method. The study population consisted of 44 civil servants, all of whom were included in the sample using a census method. Data collection was conducted via a questionnaire using a Likert scale, supplemented by observations and interviews. The data analysis techniques employed included path analysis, t-tests, the coefficient of determination (R²), and the Sobel test to examine the mediating role. The results of the study indicate that organizational culture has a positive and significant effect on employee performance, with a significance value of 0.004 and a calculated t-value of 3.014. Organizational culture also has a positive and significant effect on job satisfaction, with a p-value of 0.003 and a t-statistic of 3.940. Furthermore, job satisfaction has a positive and significant effect on employee performance with a significance value of 0.000 and a t-value of 5.174. A mediation test using the Sobel test indicates that job satisfaction significantly mediates the effect of organizational culture on employee performance with a t-value of 3.818 (>1.96). The coefficient of determination of 0.832 indicates that 83.2% of the variation in employee performance can be explained by organizational culture, job satisfaction, and their interaction, while the remainder is influenced by other variables outside the scope of this study. Thus, it can be concluded that organizational culture has a strong influence on improving employee performance, both directly and through job satisfaction as a mediating variable.

Strawberries are horticultural commodities that are highly susceptible to postharvest deterioration due to their high respiration rate, microbial activity, and oxidative degradation, resulting in a relatively short shelf life. This study aimed to evaluate the effectiveness of edible coatings in extending strawberry shelf life through a systematic literature review (SLR) approach. Literature was collected from several scientific databases using keywords related to edible coating, shelf life, and strawberry, covering publications from 2019–2026. From an initial 109 articles, a selection process based on inclusion and exclusion criteria resulted in 35 articles specifically discussing the application of edible coatings on strawberries. The synthesis results showed that all studies reported an extension of shelf life after edible coating application, although the effectiveness was influenced by the type of material, formulation, and storage conditions. Chitosan was the most widely used coating material due to its natural antimicrobial activity and excellent film-forming ability. The incorporation of bioactive compounds such as essential oils, plant extracts, and phenolic compounds was proven to enhance antifungal and antioxidant activities. In addition, nanotechnology-based systems demonstrated better preservation performance compared to conventional systems. However, methodological standardization and industrial-scale validation are still required to support commercial implementation.

Taxes are a primary source of state revenue and play a crucial role in supporting national development. However, increasing tax revenue still faces several challenges, particularly the lack of public awareness in fulfilling tax obligations. This study aims to examine the role of public awareness in improving taxpayer compliance and its impact on state revenue. The approach used in this research is qualitative, reviewing literature from various previous studies. Research findings indicate that tax awareness, understanding, and knowledge have a positive impact on taxpayer compliance. Other economic factors such as inflation, population, and economic growth also play a role in influencing tax revenue. However, external factors such as socialization and tax sanctions show inconsistent results. Consequently, increasing public awareness through tax education is a key strategy for sustainably improving the country's performance. In addition, transparent tax management and effective government communication are important factors in strengthening public trust and encouraging voluntary taxpayer compliance. Therefore, collaboration between the government and society is needed to create a sustainable and effective taxation system that supports national economic growth.

This study evaluates how macroeconomic variables such as interest rates, inflation, and exchange rates affect the returns on corporate bonds issued by the banking sector in Indonesia. Corporate bonds are an attractive investment alternative, but their performance is highly influenced by fluctuations in national economic conditions. This study uses secondary data obtained from company financial reports, macroeconomic data, and bond market information over a certain period. Multiple linear regression analysis is applied to assess the extent to which each factor affects bond returns. The analysis results indicate that increases in interest rates and inflation tend to reduce bond returns, while the effect of exchange rates is inconsistent and depends on the economic stability at the time. These findings can serve as important considerations for investors, financial analysts, and policymakers in managing risks and opportunities in the Indonesia banking bondmarket.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

This study is motivated by the limited public understanding of the symbolic meaning of properties used in the Grombyang Dance of Pemalang, where most audiences merely enjoy the performance without recognizing the cultural values embedded within it. This research aims to examine and explain the symbolic meanings of the properties used in the Grombyang Dance of Pemalang as performed at Sanggar Seni Kaloka Pemalang. The method employed is a descriptive qualitative approach using semiotic analysis based on Charles Sanders Peirce, with data collection techniques including observation, interviews, and documentation. The results of the study indicate that the performance structure of the Grombyang Dance of Pemalang consists of three main parts: the opening, the core, and the closing, supported by various elements such as theme, movement, performers, makeup, costume, musical accompaniment, stage setting, and properties. The semiotic analysis reveals that the symbolic meaning of the properties can be understood through the relationship between representamen, object, and interpretant. The main property, the irus (ladle), functions as a symbol that not only represents the act of scooping Grombyang soup but also carries a belief-related meaning as a bringer of fortune in trading activities. In conclusion, the properties in the Grombyang Dance of Pemalang serve not only as aesthetic elements but also as a medium of symbolic communication that reflects cultural, social, and belief values within the community. Therefore, they are important to be preserved and more deeply understood by the public.

One of the most actively traded and liquid stock groups in the capital market is the LQ45 index, which consistently attracts investor attention due to its strong market capitalization and transaction volume. This study aims to analyze the influence of financial performance and financial management strategies on firm value among companies listed in the LQ45 index on the Indonesia Stock Exchange during the 2018–2022 period. The study population consisted of 73 LQ45-indexed companies, with purposive sampling used to select 23 companies that met the research criteria. This research employed a quantitative approach using path analysis to examine both direct and indirect relationships among variables. The findings indicate that profitability and leverage have a positive and significant effect on firm value. In addition, profitability and leverage also positively influence firm size, indicating that companies with stronger profitability and effective debt management tend to expand their operational scale. However, firm size does not significantly affect firm value and is unable to mediate the relationship between profitability, leverage, and firm value. These results suggest that investors place greater emphasis on profitability and leverage indicators than company size when evaluating firm value in LQ45 companies. Therefore, effective financial performance remains the primary factor in enhancing corporate value and investor confidence.

This study aims to evaluate the application of environmental management accounting in the management of work programs at the Bangkalan Regency Environmental Agency. The research is motivated by increasing environmental problems, particularly waste volume and limited management facilities, while environmental management accounting has the potential to assist agencies in identifying, measuring, and reporting environmental costs as a basis for decision-making and public accountability. This study used a qualitative method with a case study approach at the Bangkalan Regency Environmental Agency. Data were collected through interviews, observations, and documentation studies. The results show that the Environmental Agency has implemented environmental management accounting, but its recording is still manual and does not separate environmental costs from general operational costs. This condition complicates cost evaluation and program impact assessment. Work program management has been structured and evaluated regularly, but performance measurement still focuses on output, not long-term environmental impact. Information transparency is also still limited to activity publications. Overall, the application of environmental accounting is at a basic stage and has not been fully integrated into the work program planning and evaluation process. The findings of this study provide theoretical and practical implications in the form of strengthening understanding of the role of environmental management accounting and the need to improve the work program recording and evaluation system at the Bangkalan Regency Environmental Agency.

This study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study explores how the integrated Resource-Based View (iRBV) and Dynamic Capabilities (DC) explain the early stage of SME internationalization in Indonesia. An exploratory single-case study design is employed on a koi-breeding SME that has engaged in export activities, using a Likert-scale questionnaire to identify VRIN resources, dynamic capabilities, export performance, and internationalization barriers. The findings indicate that the SME possesses relatively strong export market knowledge, network competence, and quality reputation, but remains weak in global certifications, administrative support, and logistical capacity. From a DC perspective, sensing and seizing capabilities are already developed, whereas transforming capability is still limited in terms of reconfiguring the business model, strengthening human resources, and institutionalizing export routines. Overall, the results underscore that the success of SME internationalization is determined not only by the ownership of internal resources, but also by the firm’s ability to reconfigure those resources in the presence of environmental and institutional constraint.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

Leadership is an essential element in human life, particularly within a social and organizational context. Transformational leadership plays a vital role in shaping the performance and motivation of organizational members. This research adopts a descriptive qualitative method with a case study approach, enabling a deep and systematic exploration of leadership phenomena. The study aims to analyze the implementation of transformational leadership in the Student Association of the Management Department (HIMA) at Universitas Muhammadiyah Bandung for the 2024–2025 period. Based on the theory proposed by McShane and Von Glinow (2010), the results indicate that transformational leadership has a positive contribution to organizational engagement, motivation, and teamwork among student leaders.  

This study was conducted to determine the best log-linear model describing the relationship between gender, sleep duration, extracurricular activities, and student learning outcomes at SMAN 1 Kualuh Hulu. A log-linear analysis approach was used to identify interaction patterns among the variables and evaluate their contribution to student academic performance. The findings showed that the selected model adequately explained the structure of the observed data. A significant three-way interaction was identified between learning outcomes, sleep duration, and gender. The results indicated that insufficient sleep duration had a negative impact on student learning outcomes, and this effect varied by gender. Female students were found to be more vulnerable to decreased academic performance caused by sleep disturbances compared to male students. Meanwhile, extracurricular activities did not demonstrate a significant direct interaction with learning outcomes. This suggests that participation in extracurricular activities was not a major factor influencing differences in academic achievement among students at SMAN 1 Kualuh Hulu.

The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

Abstract. This study aims to determine the effect of Work-Life Imbalance on Customer Service Performance among banking employees who are also university students in Bandung City. Dual roles as employees and students have the potential to create an imbalance between work and academic life, which may affect the quality of customer service. This study employed a quantitative approach with a sample of 25 respondents consisting of active banking employees who are currently pursuing higher education. Data were collected through questionnaires and analyzed using simple linear regression with the assistance of IBM SPSS software. The results indicate that Work-Life Imbalance has a significant effect on Customer Service Performance. The coefficient of determination (R Square) value of 0.837 shows that the Work-Life Imbalance variable explains 83.7% of the variance in Customer Service Performance, while the remaining percentage is influenced by other variables outside the scope of this study. Therefore, banking companies are expected to provide appropriate support for employees who carry dual roles as workers and students.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

This study analyzes the influence of Green Accounting, Environmental Performance, and Corporate Governance on the Quality of Sustainability Reports in manufacturing companies listed on the Indonesia Stock Exchange (IDX). Report quality is measured by the completeness and transparency of disclosures based on GRI Standards. A quantitative method is employed, using a purposive sample of manufacturing firms from the 2020- 2023 period. Data is analyzed using multiple regression analysis. Green Accounting is proxied by environmental costs, Environmental Performance by PROPER ratings, Corporate Governance by the proportion of independent commissioners and institutional ownership, while report quality is measured through content analysis. The hypothesized results indicate that all three independent variables are expected to have a significant positive effect on Sustainability Report Quality. The implementation of green accounting, good environmental performance, and strong governance are predicted to enhance the quality of sustainability disclosures. This research contributes to environmental accounting literature and offers practical implications for regulators, investors, and corporate management in the context of ESG (Environmental, Social, and Governance) reporting.