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separating and shredding organic and inorganic waste. This study aims to analyze the process of shredding household waste using the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) and determine the optimal operational parameters based on variations in rotor speed. The research method uses numerical simulation with SolidWorks 2024 software for geometric modeling and Ansys Rocky 2023 R1 for CFD-DEM simulation. The rotor speed variations used are 1000 RPM, 2500 RPM, and 4000 RPM with a mass flow rate of 4 tons/hour and a simulation duration of 2 seconds. The parameters analyzed included particle mass flow rate, shredding characteristics, and power consumption. The simulation results showed that a speed of 1000 RPM produced the most optimal performance with a maximum capacity of ±4 tons/hour and a stable shredding response compared to other variations. At 2500 RPM, there were high fluctuations with low capacity (±0.6 tons/hour), while at 4000 RPM, the capacity was moderate (±1.1 tons/hour) but still did not exceed the performance of 1000 RPM. Based on these results, it can be concluded that a rotor speed parameter of 1000 RPM is the most effective condition for improving the grinding efficiency and production capacity of a hammer mill-type Depackaging machine based on CFD-DEM simulation.

This study aims to analyze the effect of the Debt to Equity Ratio (DER) on Return on Assets (ROA) at PT Sumber Alfaria Trijaya Tbk during the period 2015–2025. This research uses a quantitative approach with an associative method to examine the relationship between the independent and dependent variables. The data used are secondary data obtained from the company’s quarterly financial statements over the research period, with a total sample of 44 observations selected using a saturated sampling technique. The data analysis methods applied in this study include classical assumption tests to ensure the feasibility of the regression model, simple linear regression analysis to determine the direction and magnitude of the relationship between variables, t-test to examine the significance of the effect, and the coefficient of determination (R²) to measure the extent to which the independent variable explains the dependent variable. The results of the study show that the Debt to Equity Ratio (DER) has a negative and significant effect on Return on Assets (ROA). This is evidenced by a significance value of 0.000, which is lower than 0.05, and a t-statistic value of -8.469. The regression equation indicates that an increase in DER leads to a decrease in ROA. Furthermore, the coefficient of determination (R²) value of 0.631 shows that DER explains 63.1% of the variation in ROA, while the remaining 36.9% is influenced by other variables outside the model

Patient revisit intention is a key indicator of hospital success in maintaining patient loyalty. In the digital era, the use of digital marketing and the quality of nurse communication play important roles in shaping patients’ perceptions of service quality and their decisions to return. This study aimed to analyze the effect of digital marketing utilization and nurse communication on patient revisit intention, with service quality as an intervening variable at Cabangbungin Regional General Hospital, Bekasi Regency.This research used a quantitative survey design with purposive sampling of outpatient participants. Data were analyzed using index analysis with the three-box method and hypothesis testing through Structural Equation Modeling–Partial Least Squares (SEM–PLS).The findings revealed that digital marketing utilization and nurse communication have a positive and significant effect on both service quality and patient revisit intention. Additionally, service quality was proven to mediate the relationship between digital marketing, nurse communication, and revisit intention. These results highlight the importance of integrating effective digital marketing strategies with empathetic and clear nurse communication to enhance perceived service quality.In conclusion, strengthening digital-based patient engagement, improving communication systems among healthcare professionals, and promoting empathetic service behavior are essential strategies to increase patient loyalty and revisit intention. This study provides practical insights for hospital management in optimizing service quality through digital transformation and communication improvement.

The performance of health workers is an important element in ensuring the quality of primary health services. In addition to technical and structural factors, psychological aspects such as job meaningfulness and work engagement are increasingly recognized as playing a role in improving performance. Health workers who interpret their work as something of value tend to show higher work attachment, which ultimately has an impact on performance. This study aims to analyze the effect of job meaningfulness on the performance of health workers through work engagement at the Mokoau Health Center, Kendari City. This study used a quantitative approach with a cross-sectional design. All health workers at the Mokoau Health Center as many as 70 people were involved as respondents through the total sampling technique. Data were collected using a structured questionnaire and analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method using SmartPLS version 4.0. The results of the analysis showed that job meaningfulness had a positive and significant effect on work engagement (β = 0.563; p < 0.05). Furthermore, work engagement had a positive and significant effect on the performance of health workers (β = 0.638; p < 0.05). The indirect influence test proved that work engagement significantly mediated the influence between job meaningfulness and performance (β = 0.360; p < 0.05). Job meaningfulness improves the performance of health workers through strengthening work engagement. Therefore, the HR management strategy at the Health Center needs to be directed at strengthening the meaning of work and work attachment to improve performance in a sustainable manner.

This study addresses the problem of how the values of akhlaqul karimah (noble character) contained in Bakr bin ‘Abdullah Abu Zaid’s Ḥilyatu Ṭālib al-‘Ilmi can be internalized within the framework of Islamic philosophy of education. The significance of this topic lies in the urgent need to strengthen character education in Islamic institutions in the digital era, where the erosion of moral values is increasingly evident. The objective of the research is to examine the integration of Ḥilyatu Ṭālib al-‘Ilmi’s values with the fundamental concepts of Islamic philosophy of education, offering both theoretical enrichment and practical guidance for contemporary Islamic education. This study employs a qualitative library research approach, analyzing primary sources (the book itself and classical references) and secondary literature through philosophical-hermeneutical analysis. The findings reveal that the book emphasizes key virtues such as sincerity, humility, perseverance, discipline, respect for teachers, and intellectual selectivity. These align with the ontological view of humans as rational and moral beings, the epistemological principle that knowledge is acquired through both revelation and disciplined inquiry, and the axiological aim of forming socially responsible and ethically upright individuals. The study concludes that internalizing Abu Zaid’s adab framework provides a timeless model for Islamic character education. Theoretically, it enriches the discourse on Islamic educational philosophy by bridging classical wisdom with contemporary challenges; practically, it offers actionable guidance for educators, students, and institutions in nurturing morally grounded and intellectually robust learners.  

The rapid development of information technology has transformed social media into a digital space that plays a crucial role in shaping the mindset, behavior, and lifestyle of young generations. TikTok is one of the most dominant platforms used by Generation Z, particularly students, due to its ability to present algorithm-based content that aligns with user interests. This condition has the potential to cause psychological stress in the form of Fear of Missing Out (FOMO), which reflects social anxiety due to the perception of being late in keeping up with trends, information, or experiences that hold a dominant position in the social landscape. This research initiative aims to examine the influence of TikTok usage on the lifestyle configurations of Generation Z students, with FOMO serving as a determinant that strengthens this relationship. This study is designed within the quantitative tradition with a positivist epistemological orientation. The study population includes 250 students from the Faculty of Computer Science at the National Pasim University in Bandung, with a sample size of 72 respondents derived using Slovin's formula. The analysis results indicate that TikTok usage and the level of FOMO have a positive and significant impact on changes in students' lifestyles. The regression coefficient estimates are in the positive direction, with a significance value exceeding the critical threshold of 0.05, indicating a unidirectional relationship between the variables. The model determination estimate, at around 57.5%, confirms that TikTok and FOMO are able to explain a significant portion of the variation in students' lifestyles, while the remainder is influenced by factors outside the scope of this study. This finding confirms that TikTok functions not only as a medium of entertainment but also as an agent shaping lifestyles influenced by social and psychological pressures. Therefore, strengthening digital literacy is crucial so that students can use social media more rationally and responsibly.

This study aims to analyze the influence of emotional intelligence on job satisfaction and job performance, with employee adaptability as a mediator. The subjects were employees of Kospin Jasa Regional Office (Kospin Jasa) in Yogyakarta and Central Java. A sample of 178 respondents was selected using a census technique and a questionnaire was distributed using Google Forms. The analysis tool used was Structural Equation Modeling (SEM) based on Partial Least Square (PLS) software. The results of this study indicate that employee adaptability has a positive and significant effect on job satisfaction, employee adaptability has a positive and significant effect on job performance, emotional intelligence has a positive and significant effect on employee performance, emotional intelligence has a positive and significant effect on job satisfaction, and the influence of emotional intelligence on job performance has a positive and significant effect. Employee adaptability acts as a positive mediator in the influence of emotional intelligence on job satisfaction. Employee adaptability can be interpreted as a positive mediator in the influence of emotional intelligence on job performance.

Small and medium-sized enterprises (SMEs) play a central role in the Indonesian economy, yet their internationalization remains limited. This condition indicates that many SMEs have not fully transformed innovation and digitalization into strategic capabilities that support broader market expansion. This study examines the effects of innovation and digitalization on SME internationalization from the strategic capability perspective. A quantitative explanatory design with a cross-sectional survey was employed. The sample consisted of 200 SME owners or main managers in East Java selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The simulated results indicate that innovation and digitalization positively contribute to SME internationalization through product value enhancement, business process efficiency, and broader market reach. These findings suggest that SME internationalization is more likely to emerge when innovation and digitalization are integrated as strategic capabilities rather than treated as isolated initiatives.

MSMEs play a dominant role in the Indonesian economy, but their contribution to the international market remains relatively limited. This situation indicates that the readiness for internationalisation of MSMEs remains a significant issue, particularly in relation to innovation and digitalisation capabilities as strategic resources. This study aims to analyse the influence of innovation and digitalisation on the readiness for internationalisation of MSMEs in Indonesia using the Resource-Based View approach. The study employs an explanatory quantitative design with a survey approach involving 200 owners or primary managers of SMEs in East Java, selected via purposive sampling. Data were analysed using SEM-PLS. The results indicate that innovation and digitalisation have a positive and significant influence on the internationalisation readiness of SMEs. Digitalisation demonstrates a stronger influence than innovation. The structural model also exhibits adequate explanatory and predictive power. These findings confirm that internationalisation readiness is determined not only by market opportunities but also by the ability of SMEs to strategically manage innovation and digital technology. The implications of this study emphasise the importance of strengthening innovation and digitalisation capabilities as the foundation for formulating SME development strategies that are better prepared to enter international markets.

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.

This study was motivated by issues related to nurses’ work compliance in implementing nursing care in the inpatient wards of Dr. Dradjat Prawiranegara Regional General Hospital, Serang. Compliance with nursing care standards is a key indicator of healthcare service quality; however, inconsistencies in the implementation of procedures are still found in practice. The low level of work compliance is presumed to be influenced by nurses’ responsibility and competence, with organizational commitment acting as an intervening variable. This study aimed to analyze the effect of responsibility and competence on nurses’ work compliance, with organizational commitment as an intervening variable.This research employed a quantitative approach with an explanatory research design. The study was conducted among inpatient ward nurses, with a total sample of 168 nurses. Data were collected through questionnaires and analyzed using Structural Equation Modeling (SEM) with the SEM-PLS program.The results showed that responsibility and competence had a positive and significant effect on organizational commitment. Furthermore, responsibility, competence, and organizational commitment partially and simultaneously had a positive and significant effect on nurses’ work compliance. The main conclusion of this study is that all variables have significant effects; therefore, enhancing nurses’ responsibility and competence is essential to strengthen organizational commitment and improve compliance with nursing care standards

The internationalisation of SMEs in the era of the global economy is still faced with low strategic readiness, limited innovation capacity, and sub-optimal digital transformation. This study aims to test a model of SME internationalisation strategy based on innovation and digital transformation. The study employs a quantitative approach using a cross-sectional survey design involving 200 owners or key managers of SMEs in East Java, selected through purposive sampling. Data were analysed using SEM-PLS through measurement model evaluation, structural model evaluation, and bootstrapping tests. The results indicate that innovation has a positive effect on digital transformation and internationalisation strategy, whilst digital transformation has a positive effect on internationalisation strategy. The indirect effect of innovation on internationalisation strategy via digital transformation is also significant, indicating partial mediation. These findings confirm that the internationalisation of SMEs becomes more effective when innovation and digital transformation are coherently integrated into business models and external market orientation. Implicitly, strengthening the global competitiveness of SMEs requires simultaneous intervention in business model renewal, digital capabilities, and policy ecosystem support.

Health-related SMEs in Indonesia have significant opportunities to enter international markets, but many businesses still face limitations in digital capabilities, innovation, and readiness for external markets. This study aims to examine the influence of digital transformation on the success of health-related SMEs in going international, both directly and through business innovation as a mediator. The study employs a quantitative approach using a cross-sectional survey design involving 200 owners or key managers of SMEs in East Java, selected via purposive sampling. Data were analysed using Structural Equation Modelling-Partial Least Squares (SEM-PLS). The results indicate that digital transformation has a positive influence on business innovation and the success of going international. Business innovation also has a positive effect on internationalisation success and mediates the relationship between digital transformation and external market success. These findings confirm that digitalisation should not merely be understood as an operational tool, but as a strategic capability that must be integrated with product, process, marketing, and business model innovation. The research implications emphasise the importance of strengthening digital capabilities and business innovation to enhance the global competitiveness of Indonesian health-related SMEs.

The 2025 Real Work Lectures use the Berdampak model (Real Work Lectures based on Community Impactful). The theme of our group's Community Service Program is the problem of household waste management in Bakalan Village, Gondang District, Mojokerto Regency, which requires proper handling. Open burning of waste causes air pollution and other adverse effects. In an effort to overcome this problem, KKN students have initiated the use of used barrels as a place to burn waste with minimal smoke. This program includes observation and socialization related to innovative technology in waste management. Through this activity, the community is introduced to the use of trash cans that reduce smoke pollution and produce briquettes as an alternative fuel from combustion residues. The program results show an increase in community awareness of waste management and the potential for reducing negative environmental impacts. This innovation opens up opportunities for the community to become a model of independent and sustainable waste management, which can be applied in other villages.

Increasingly digitalised and globally integrated market competition demands that micro, small and medium-sized enterprises (MSMEs) no longer merely excel in local markets, but are also capable of building sustainable competitiveness in broader markets. Recent literature indicates that innovation, digital capabilities, and international networks are increasingly viewed as strategic determinants of MSME competitiveness, although the relationships between these variables are often examined in isolation and are not always consistent. This study aims to analyse the influence of innovation, digital capabilities, and international networks on the global competitiveness of MSMEs. The research employs an explanatory quantitative approach with a cross-sectional design. The sample consists of 200 owners or principal managers of SMEs in East Java, selected using purposive sampling. Data were collected via a structured questionnaire and analysed using Structural Equation Modelling–Partial Least Squares (SEM-PLS). The results of the analysis indicate that innovation, digital capabilities, and international networks have a positive and significant influence on the global competitiveness of SMEs. The path coefficient values indicate that digital capabilities are the strongest predictor, followed by international networks and innovation. These findings confirm that strengthening the global competitiveness of MSMEs requires an integrated strategy that links value renewal, digital transformation, and the sustainable development of external networks.

This study aim to examines effectiveness concerning feedback based upon motor model inside of improving free throw accuracy inside of basketball plus its impact upon retention concerning skill among female student. Significance concerning this research lie inside of essential role concerning feedback inside of motor learning, particular when supported by way of accurate performance model that help learner to builds clear mental representation concerning movement execution.Experimental design were employed, involving sample concerning female student random assigned into two group. Experimental group receive feedback supported by way of motor model, including video demonstration concerning ideal plus corrected performance, while control group follow traditional instruction relying primary upon verbal explanation. Post-test were then administered to measures improvement, along alongside delayed retention test to evaluates persistence concerning learning over time. Result show statistical significant difference inside of favor concerning experimental group inside of both post-test plus retention outcome. This indicate that motor model-based feedback effective enhance performance plus support long-term skill retention. Addition, student exposed for motor model demonstrate greater ability to recognizes plus corrects error plus show deeper understanding concerning correct technique.Study recommend integrating motor modeling strategy plus technology-based feedback into sport education to accelerates learning plus improves outcome across educational context.

This study aimed to analyze the effect of credit risk on profitability with liquidity as a mediating variable in banking companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The study employed a quantitative approach with an explanatory research design. Secondary data were obtained from annual financial statements, and the sample consisted of 31 banking companies selected through purposive sampling from a total of 47 companies. The research variables included credit risk as the independent variable, profitability proxied by Return on Assets (ROA) as the dependent variable, and liquidity proxied by the Loan to Deposit Ratio (LDR) as the mediating variable. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through the assessment of the measurement model and the structural model. The results indicated that credit risk did not affect profitability and did not affect liquidity, while liquidity affected profitability. The findings also demonstrated that liquidity did not mediate the relationship between credit risk and profitability. The study implied that liquidity management played an important role in supporting bank profitability, whereas the influence of credit risk on profitability during the study period was likely driven by other factors outside the proposed model. This study provided empirical evidence on banking performance dynamics in 2022–2024; however, generalization should have been made cautiously due to the limited observation period and the variables included.

This study aims to analyze and obtain empirical evidence regarding the effect of profitability, leverage, and sales growth on tax avoidance in energy sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. This research method uses a quantitative approach with secondary data in the form of annual financial reports obtained from the official IDX website and related company websites. The sampling technique used a purposive sampling method to obtain a sample of companies that met the research criteria during the observation period. The dependent variable in this study is tax avoidance, which is proxied by the Effective Tax Rate (ETR), while the independent variables consist of profitability as measured by Return on Assets (ROA), leverage as measured by the Debt to Equity Ratio (DER), and sales growth as measured by annual sales growth. The data analysis technique uses panel data regression through the stages of selecting the best model, classical assumption testing, multiple linear regression analysis, and hypothesis testing. The results of the study indicate that profitability, leverage, and sales growth simultaneously influence tax avoidance. Partially, profitability influences tax avoidance, while leverage and sales growth do not.

This study aims to analyze and examine the effect of financial literacy and self-control on financial management behavior, with financial attitude as an intervening variable among accounting students at universities in Lamongan. This research employed a quantitative approach using a survey method through questionnaire distribution via Google Form. The population consisted of accounting students at universities in Lamongan, with a total sample of 232 respondents selected using probability sampling with a simple random sampling technique. Data analysis was conducted using Partial Least Square–Structural Equation Modeling (PLS-SEM) version 4.0. The results indicate that financial literacy does not have a significant effect on financial management behavior, while self-control has a significant effect on financial management behavior. Furthermore, financial literacy and self-control significantly influence financial attitude, and financial attitude significantly affects financial management behavior. Financial attitude is also proven to significantly mediate the relationship between financial literacy and self-control on financial management behavior.

This study explores the dynamics of children’s character formation within Christian families in the digital era from the perspective of church parents. Employing a descriptive light mixed-methods design, the study integrates survey data and semi-structured interviews to obtain both quantitative and qualitative insights. The findings indicate that digital media has become an integral and unavoidable part of family life, making children’s character formation highly dependent on parental guidance, reflective communication, and consistent faith-based education at home. Parents face various challenges related to time constraints, limited digital literacy, and the increasing exposure of children to external values that may not align with Christian teachings. At the same time, many parents actively utilize technology as a supportive and accessible tool for spiritual learning and moral development. The study concludes that character formation is shaped not merely by technology itself but more significantly by the quality of family relationships and parental role modeling grounded in Christian values. Therefore, the findings recommend strengthening faith-based digital literacy among parents and enhancing church–family collaboration to foster more holistic, balanced, and sustainable character development in children.