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Teacher performance is one of the key factors in determining the quality of education and the achievement of school objectives. Several factors that are assumed to influence teacher performance include transformational leadership style, work motivation, and work discipline. This study aims to analyze the effect of transformational leadership style, work motivation, and work discipline on teacher performance at SMK Negeri 1 Musuk Boyolali. The research employed a quantitative method with descriptive and verificative approaches. The population consisted of 50 teachers, and all members of the population were selected as respondents using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with the assistance of SPSS version 25. The results revealed that work motivation had a positive and significant effect on teacher performance. In contrast, transformational leadership style and work discipline did not have a significant partial effect on teacher performance. However, simultaneously, transformational leadership style, work motivation, and work discipline significantly affected teacher performance. The Adjusted R Square value of 0.324 indicates that these three variables explain 32.4% of the variation in teacher performance, while the remaining 67.6% is influenced by other factors outside the scope of this study. The findings imply that enhancing work motivation should be prioritized in efforts to improve teacher performance, while leadership and work discipline should continue to be strengthened to support a more effective working environment.

This study aims to analyze the relationship between epistemology and scientific logic in the development of scientific knowledge using a library research approach by reviewing relevant literature in the fields of philosophy of science, theory of knowledge, and principles of scientific logic. The findings indicate that epistemology serves as a philosophical foundation for understanding the origin, structure, and validity of knowledge, while scientific logic functions as a systematic tool that guides reasoning in constructing rational and consistent scientific truth. Both have a complementary relationship, where epistemology provides a normative framework for determining the criteria of knowledge validity, and scientific logic ensures that the reasoning process is structured, coherent, and free from fallacies. Therefore, the integration of epistemology and scientific logic plays a crucial role in producing scientific knowledge that is objective, measurable, and academically accountable, while also enhancing the overall quality and credibility of the scientific process.

concern for pet owners. Consequently, cat owners seek equipment that can support and simplify their daily pet care activities. However, the busy schedules of many cat owners often make it difficult for them to provide consistent care, raising concerns about the neglect of their pets. To address this issue, this study developed an automatic cat feeding system for a cat enclosure using an experimental research method. The proposed system utilizes a load cell sensor, a Real-Time Clock (RTC), a servo motor, and an ATmega16 microcontroller. The load cell sensor is employed to determine the appropriate food portion based on the cat's nutritional requirements, while the RTC controls the feeding schedule by dispensing food twice a day at predetermined times. The experimental results demonstrate that the system was successfully implemented, with the load cell measurement exhibiting an error rate of 10.71% relative to the predefined set point. Furthermore, the servo motor effectively controlled the valve mechanism, achieving a maximum opening angle of 85 degrees. Overall, the developed system performed reliably and met the expected operational objectives..

The socialization of Sultan Muda Sumsel Super Apps for OPD administrators was conducted to improve the capacity of administrators in managing website-based application content, data, and service information. The activity responded to the need for coordinated digital governance in supporting the 100,000 Sultan Muda program and the development of young entrepreneurship services in South Sumatra. The method consisted of need identification, material preparation, socialization, direct practice, and evaluation through discussion and technical assistance. The results show that the activity strengthened administrators’ understanding of application objectives, content management procedures, data accuracy, and follow-up mechanisms for digital publication. Documentation of the activity also reflects active mentoring, practical simulation, and coordination among stakeholders. The implication of this activity is the importance of continuous capacity building for OPD administrators to ensure that public digital service platforms are informative, updated, and aligned with institutional objectives.

The achievement of the Sustainable Development Goals (SDGs) in Indonesia continues to face various challenges, particularly those related to poverty, social inequality, and increasing environmental degradation caused by climate change. These conditions highlight the need for an instrument capable of integrating social welfare objectives with environmental sustainability. This article aims to analyze the role of green zakat as an Islamic social finance instrument in supporting the achievement of the Sustainable Development Goals (SDGs). The study employs a descriptive qualitative approach using a library research method through the collection and analysis of various sources, including academic journals, books, official reports, and other relevant documents related to zakat, Islamic social finance, green economy, and sustainable development. The findings indicate that green zakat has significant potential to support the achievement of the SDGs through environmentally based economic empowerment programs, such as sustainable agriculture, reforestation, waste management, and the development of eco-friendly businesses for vulnerable communities. In addition to contributing to poverty alleviation, green zakat can support climate change mitigation efforts and environmental conservation in line with the principles of maqashid sharia. However, its implementation still faces several challenges, including limited public literacy, inadequate regulatory support, and suboptimal governance of environmental-based programs. Therefore, stronger collaboration among government institutions, zakat management organizations, and society is needed to develop a more effective green zakat model. Future studies are recommended to conduct empirical research to measure the impact of green zakat implementation on specific and measurable SDG indicators.

Tomato (Solanum lycopersicum) is a high-value horticultural commodity in Indonesia, yet its cultivation is frequently disrupted by leaf diseases that are difficult to distinguish visually. Diseases such as Bacterial Spot, Early Blight, and Tomato Yellow Leaf Curl Virus often present overlapping visual symptoms, making early and accurate diagnosis a significant challenge for farmers. The manual identification methods currently in use are inefficient and error-prone, ultimately leading to reduced crop yield  and quality. The general objective of this study is to develop software capable of automatically classifying tomato  leaf diseases. Specifically, this research aims to implement the MobileNetV3 Small architecture based on Convolutional Neural  Network (CNN) with ImageNet pre-trained weights to classify 10 types of tomato leaf diseases. The research methodology encompasses dataset collection from Kaggle comprising 10,000 images (1,000 per class), image pre-processing through resizing to 224x224 pixels, and normalization, as well as hyperparameter optimization (optimizer, learning rate, epoch, batch size) via scheduler. Model performance is evaluated using a confusion matrix encompassing accuracy, precision, recall, and F1-score.

This study aims to analyze the implementation of Land and Building Tax (Pajak Bumi dan Bangunan or PBB) collection and its significant impact on local revenue generation. Land and building tax is a crucial component of local government revenue in Indonesia, especially following the implementation of regional autonomy and fiscal decentralization policies. Despite its critical role in funding local infrastructure and public services, the realization of PBB often falls short of its potential targets. This research utilizes a qualitative descriptive approach, employing secondary data collected from local revenue agencies and extensive literature reviews of previous academic publications. The objectives are to evaluate the effectiveness of current collection mechanisms, identify the primary obstacles hindering taxpayer compliance, and assess the overall contribution of PBB to regional financial independence. The findings reveal that while the administrative framework for PBB collection is generally well-established, practical implementation faces numerous challenges, including outdated land value assessments, low taxpayer awareness, suboptimal database management, and limited human resources within the tax apparatus. Furthermore, the study indicates that targeted digitalization of tax services and proactive public socialization campaigns can significantly enhance compliance rates. Practically, the results provide valuable recommendations for local policymakers to reform their tax collection strategies, optimize revenue streams, and ensure sustainable regional development.

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.      

This study examines the effectiveness of the GOOL (Dukcapil Go Online) service in accelerating the issuance of birth certificates at the Population and Civil Registration Office of Probolinggo City. GOOL is a digital-based civil administration service innovation that allows residents to process civil documents without visiting the office in person. This study employed a descriptive qualitative method, with data collected through in-depth interviews, observation, and documentation. Effectiveness indicators were based on Campbell's (2014) theory, covering: program success, goal achievement, community satisfaction, and overall objective attainment. The findings indicate that the GOOL service is generally effective in expediting birth certificate issuance. Supporting factors include collaboration with healthcare facilities (Indonesian Midwives Association and hospitals), an integrated 3-in-1 service program, and adequate technological infrastructure. Inhibiting factors include technical difficulties during document uploads, unstable internet connections, and limited digital literacy among some residents.

The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

In the digital era, job-seeking mechanisms have evolved through e-recruitment platforms, particularly for Gen Z fresh graduates. However, seamless digital access does not inherently trigger a high intention to apply for jobs, suggesting a complex interplay between internal psychological states and external technical factors. Objective: This investigation empirically examines the extent to which self-efficacy and the effectiveness of e-recruitment systems influence the intention to apply for jobs among Gen Z fresh graduates in Tasikmalaya Regency. Methodology: This study employed an explanatory quantitative approach involving 80 subjects selected via purposive sampling. Data evaluation was conducted through Multiple Linear Regression analysis using SPSS software. Findings: The research data demonstrates that both self-efficacy and digital recruitment systems exert a positive and significant impact on job application intentions, both independently and simultaneously. Furthermore, self-efficacy was identified as a more dominant predictor compared to recruitment technology. An R-Square value of 0.590 indicates that these two variables account for 59% of the variation in job application intentions. Implications: Companies are encouraged to continuously modernize their recruitment infrastructure while considering the psychological readiness of applicants and strengthening corporate branding to attract high-potential new graduates.

- Background: The rate of cesarean section (CS) deliveries continues to increase in Indonesia. Bali Province ranks first nationally, with a cesarean delivery rate of 53.2%. Cesarean section results in surgical wounds that cause pain in postpartum mothers. One non-pharmacological intervention to reduce pain is early mobilization through video media. Objective: This study aimed to determine the differences in pain intensity among post-cesarean mothers before and after receiving early mobilization through video media. Methods: This study employed a quantitative approach with a pre-experimental one-group pretest-posttest design. The study population consisted of post-cesarean mothers at Singasana Regional General Hospital. A total of 26 respondents who met the inclusion and exclusion criteria were recruited. Pain intensity was measured using the Numeric Rating Scale (NRS) before and after the intervention. The intervention consisted of early mobilization delivered through a 3-minute and 23-second video, accompanied by healthcare personnel. Data were analyzed using the Wilcoxon test. Results: Most respondents were aged 20–35 years, multiparous, had completed senior high school, and were employed. The median pain intensity decreased from 5.00 before the intervention to 3.00 after the intervention. The Wilcoxon test showed a p-value of 0.000 (p < 0.05), indicating a significant difference in pain intensity before and after the intervention. Conclusion: Early mobilization through video media was effective in reducing pain intensity among post-cesarean mothers. Video media can be utilized as an educational tool to support the implementation of early mobilization in healthcare settings..

This study investigates the practice of the accounting profession with the aim of identifying the key threats and challenges that hinder its development in Nigeria. To achieve this objective, three hypotheses were formulated and tested using the chi-square statistical technique to examine the relationship between identified challenges and the development of accounting practice in the country. The study drew on the perceptions of key stakeholders in the accounting field, namely academic accountants, professional accountants, and accounting regulators. Primary data were collected and analyzed, and the results revealed that the accounting profession is confronted with significant challenges that negatively influence its growth and development. The study concludes that these constraints may pose serious risks to the future advancement of the profession in Nigeria. It therefore recommends that academic and professional accountants should remain committed and proactive in advancing accounting knowledge and practice, while regulatory bodies should ensure objectivity, transparency, and fairness in the formulation and enforcement of accounting standards and regulations

This study contributes to the advancement of Islamic social finance discourse by developing a conceptual framework for a digitally integrated zakat governance model within the agricultural sector. The study addresses a critical gap between productive zakat practices and the emerging landscape of digital agricultural transformation. While previous research has largely focused on the redistributive function of zakat as a mechanism for poverty alleviation, limited scholarly attention has been directed toward its potential transformation into a technology-enabled and productivity-oriented instrument that supports sustainable development objectives. Employing a qualitative research approach through content analysis, this study synthesizes interdisciplinary perspectives from Islamic economics, zakat governance, agricultural technology innovation, and digital sustainability studies. The study proposes a Digital Farming Zakat Platform framework consisting of five interconnected dimensions: geospatial-based beneficiary identification, smart farming empowerment, sharia-compliant financial mechanisms, agricultural market integration, and data-driven monitoring systems.

This study explores the role of Islamic economic law in promoting sustainable development by establishing an integrated relationship between ethical values, legal frameworks, and public policy. Although sustainable development has emerged as a major global agenda, its implementation continues to face challenges due to the limitations of conventional economic and legal systems, which often prioritize efficiency and economic growth while overlooking ethical and social dimensions. Employing a qualitative research approach through content analysis, this study examines classical Islamic jurisprudence, contemporary scholarly literature, and relevant policy documents to analyze the alignment between Islamic economic principles and sustainability frameworks. The findings demonstrate that Islamic economic law provides a comprehensive and ethically oriented framework based on fundamental principles, including tawhid (unity), adl (justice), maslahah (public interest), and maqasid al-shariah (objectives of Islamic law). These principles are manifested through various institutional and legal instruments, such as zakat, waqf, and risk-sharing financial mechanisms, which contribute to social justice, economic inclusion, financial resilience, and environmental sustainability.

One of the most significant foods for the people of Indonesia, tempeh is made mostly from soybeans. Soybean quality selection is still mostly done by hand, relying on eye inspection and the expertise of business actors. This may cause subjective evaluations, lengthy decision-making processes, and uneven outcomes. With the TOPSIS technique as its foundation, this project intends to construct a Decision Support System (DSS) for selecting high-quality soybeans. Color, texture, price, scent, and flavor are some of the evaluation criteria. Observations and interviews were conducted in Rumah Tempe A-Zaki Padang to gather data for the research. Ranking the options according to how close they were to the positive ideal solution and how far away from the negative ideal solution was done using the TOPSIS approach. In terms of preference values, the Green Soybean option came out on top with 0.9692, followed by Black Soybeans with 0.2335, Yellow Soybeans with 0.1516, and Brown Soybeans with 0.1181. Based on these outcomes, it seems that TOPSIS can indeed provide objective suggestions for soybean selection according to a number of different standards. Business players in the tempeh industry may benefit from this decision support system by using it to choose high-quality soybean raw materials more efficiently and accurately.

The opening of the wrench opening for M14 bolts is broken in use as a problem encountered in field activities. The manufacturing objective is to obtain an M14 mm wrench-ring wrench from forged steel measuring 200x6.5 mm. The manufacturing method includes: wrench design on one end and ring wrench design on the other end for bolt size M14 mm, cutting sufficient volume of steel material after forging according to the design, wrench forging on one end and ring wrench forging on the other end for bolt size M14, Chromium plating; finishing of wrench gap and hexagon for ring wrench with a distance of 22 mm, and quality-dimension-standard inspection. TThe manufacturing results are in the form of a paired wrench with an M14 mm ring wrench made of forged steel coated with chromium measuring 200x6.5 mm with a total production cost of IDR 30,000/unit, and a process duration of 3 minutes/unit which has the impact that the paired wrench with a ring wrench for M14 mm bolts measuring 200x6.5 mm can be used for M14 bolts in general with an opening width of 22 mm for both ends as a wrench or ring wrench.

The development of information and communication technology has significantly transformed the field of education. Teachers no longer depend only on lectures to deliver learning materials but also use various learning media to improve the effectiveness of the teaching and learning process. One of the most widely used innovations is interactive learning media, which combines text, images, audio, video, and other interactive features to support student learning. Interactive learning media can create a more engaging and enjoyable learning environment. Through this media, students actively participate in learning activities rather than simply receiving information passively. As a result, their attention, motivation, and understanding of the learning materials can improve. However, low student learning outcomes remain a challenge in education. Limited student involvement in the learning process often affects their ability to understand lessons and achieve learning objectives. Previous studies have indicated that interactive learning media can enhance both the quality of learning and student achievement. Therefore, examining the influence of interactive learning media on student learning outcomes is important to support the development of more effective, innovative, and technology-based learning processes in the digital era.

Corporate insolvency regimes have long been designed around efficiency, creditor recovery, and procedural certainty, frequently marginalizing the human, social, and distributive consequences of corporate failure. This qualitative literature review seeks to reconceptualize insolvency as a multidimensional institutional process by integrating the principles of humanity, resilience, and equity, with the objective of developing fairness metrics for more inclusive insolvency systems. Drawing on interdisciplinary scholarship from insolvency law, corporate governance, economic sociology, and normative political theory, this study systematically synthesizes peer reviewed literature published between 2000 and 2024 using a structured qualitative thematic analysis. The review identifies three interrelated dimensions shaping inclusive insolvency outcomes. First, humanity-oriented approaches emphasize stakeholder vulnerability, dignity preservation, and procedural justice, particularly for employees, involuntary creditors, small suppliers, and local communities affected by corporate collapse. Second, resilience based perspectives frame insolvency not merely as an endpoint of failure but as an adaptive governance mechanism that enables organizational recovery, institutional learning, and broader systemic stability. Third, equity focused frameworks highlight the importance of proportional and context sensitive loss allocation, stakeholder participation, and intertemporal fairness in distributing the economic and social costs of insolvency. By integrating these dimensions, the study develops a conceptual framework of fairness metrics that extends beyond traditional efficiency-driven indicators, offering normative and analytical tools for evaluating insolvency systems in a more holistic manner. The findings contribute to insolvency scholarship by bridging fragmented theoretical strands and advancing a human-centered and resilience oriented understanding of corporate failure. The review further suggests that insolvency regimes embedding humanity, resilience, and equity are more likely to enhance institutional legitimacy, stakeholder trust, and long term economic sustainability, thereby providing a robust foundation for future empirical research and policy reform.

Classroom management is an important aspect of creating a conducive learning environment and supporting the achievement of learning objectives. This study aims to analyze the permissive approach and the cookbook approach in classroom management based on the results of an interview with a teacher. The research employed a descriptive qualitative method, with interviews used as the primary data collection technique. The findings indicate that the teacher does not fully implement either the permissive approach or the cookbook approach. The teacher provides students with freedom within limits that support the learning process while still enforcing agreed-upon classroom rules. In addition, the teacher does not rely on rigid procedures but instead adapts classroom management strategies to students' characteristics and the situations encountered in the classroom. The study reveals that the teacher tends to adopt an adaptive classroom management approach by combining firmness, empathy, and flexibility, thereby creating an orderly, comfortable, and effective learning environment that supports the achievement of educational objectives.