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Teacher performance evaluation is a crucial factor in improving educational quality, but many schools still conduct it manually and subjectively, resulting in less transparent, time‑consuming, and error‑prone outcomes. This study aims to design and develop a web‑based decision support system using the Simple Additive Weighting (SAW) method for selecting the best teacher at MTs Mambaul Ulum. The system was developed using the Waterfall model with the Laravel 12 framework and MySQL database, incorporating two evaluator roles: the principal (assessing 5 criteria: teaching hours, responsibility, mastery of material, personality, and attendance) and the vice principal (assessing 4 criteria excluding personality). Data were collected through observation, interviews, and document review. System testing employed Black Box Testing and accuracy validation by comparing system outputs with manual Excel calculations. The results show that the SAW method effectively ranks teachers objectively, with Kusyanti achieving the highest score of 0.9450. The system attained 100% accuracy, as no difference was found between manual and system calculations. Moreover, the system reduced evaluation time from days to seconds and provides well‑documented results, thus supporting more transparent and accountable decision‑making. Therefore, this system proves to be reliable, objective, and efficient in assisting school administrators in evaluating teacher performance in a structured and fair manner.

The implementation of web-based archive digitalization can help improve performance in the field of archive recording, which was previously still manual at the Naval Academy. Some of the obstacles include archiving that is still manual, many files lost due to piled-up storage systems, and human resources in the field of archiving that are still lacking. This study aims to increase time and cost efficiency in archive processing, reduce the risk of loss and damage to archives, and improve the abilities and skills of human resources in the process of using digital archives. This type of research is descriptive qualitative. The data collection techniques are interviews, observation, and documentation with respondents as well as appropriate documentation. The data analysis was carried out through the processes of data reduction, data display, as well as verification or drawing conclusions. The research results can help improve the efficiency and security of archiving by minimizing risks, so that archive management can enhance efficiency and effectiveness, focusing on the implementation of web-based applications.


Coffee tree trunks are a low-demand biomass resource with potential to be converted into higher-value products, such as charcoal briquettes. This study investigates the effect of drying temperature and particle size (Mesh 30 and Mesh 250) on the performance of coffee wood charcoal briquettes using starch as a binder. Drying was conducted at temperatures of 60°C, 80°C, and 100°C. The briquettes were tested through combustion by heating 50 ml of water, while temperature changes were recorded every minute using a thermocouple until boiling point was reached. Additional analyses included moisture content, ash content, combustion rate, and calorific value.The results show that higher drying temperatures improve briquette performance. The highest combustion rate for Mesh 30 was 0.20 g/min at 100°C, while Mesh 250 reached 0.16 g/min at the same temperature. The calorific value increased with temperature, with Mesh 30 reaching 7178.02 cal/g and Mesh 250 achieving 7498.80 cal/g at 100°C. Although Mesh 30 briquettes exhibited competitive calorific values, their combustion stability was lower compared to Mesh 250.These findings indicate that drying temperature and particle size significantly influence the quality and performance of coffee wood charcoal briquettes

Regional autonomy provides opportunities and challenges for local governments to manage and explore sources of Local Own-Source Revenue (PAD). Grobogan Regency still faces fiscal challenges because its dependence on transfer funds remains significant, while the capacity of its own revenue needs to be increased. This study aims to map the potential and performance of local taxes in Grobogan Regency in the context of fiscal decentralization and efforts to strengthen regional financial independence. The research uses a quantitative descriptive approach based on secondary data for the 2019–2024 period obtained from the Ministry of Finance. The analysis focuses on tax effectiveness, contribution, growth, and revenue projection. The results show that local tax performance is strong, with an average effectiveness rate of 119.99%. The Specific Goods and Services Tax is the largest contributor, reaching 44%, followed by PBB-P2 and BPHTB. The average growth of local tax revenue is 15.68%, although growth varies considerably across tax types, particularly the Non-Metal and Rock Mineral Tax, which reaches 786.63%. Revenue projections indicate an increase to IDR 277.20 billion by 2029. These findings highlight strong fiscal potential in Grobogan Regency but underline the need for tax diversification, digitalized administration, and taxpayer compliance to support sustainable fiscal growth.

In an increasingly competitive business environment, particularly within the tourism industry, an organisation's ability to innovate and design effective strategic planning has become a critical factor in sustaining and improving organisational performance. This study aims to analyse the effect of innovation and strategic planning on organisational performance at Kampung Coklat Blitar Educational Tourism. This study employed a quantitative approach, with data collected through questionnaire distribution involving 53 respondents. The sampling was conducted using a saturated sampling technique (census), in which all members of the population were used as research samples. The sampling criteria consisted of senior-level active employees with a minimum of eight years of work experience and managers at Kampung Coklat Blitar Educational Tourism. Data analysis was carried out using the SPSS software. The results of the study indicate that innovation has a positive and significant effect on organisational performance with a P-value of 0.006 and a T-statistic of 2.869. Furthermore, strategic planning also has a positive and significant effect on organisational performance with a P-value of < 0.001 and a T- statistic of 5.573.

The coffee shop industry has experienced substantial growth in recent years, creating intense competition that compels businesses to continuously enhance service performance in order to maintain customer satisfaction and market competitiveness. PT Jokopi Indonesia Group has encountered several service-related issues reflected in declining sales performance and recurring customer complaints, indicating the need for a comprehensive evaluation of service quality. This study aims to identify service attributes that fail to meet customer expectations and determine improvement priorities through the integration of the SERVQUAL and Kano methods. A quantitative approach was employed using questionnaire data collected from 50 customers who had prior experience with the company’s services. SERVQUAL was utilized to assess discrepancies between customer expectations and perceived service performance, while the Kano model was applied to classify attributes according to their contribution to customer satisfaction. The findings reveal that all evaluated attributes generated negative gap values, indicating that existing service performance has not yet reached the level expected by customers. The most critical gaps were identified in menu availability, air-conditioning and fan comfort, payment convenience, and straw availability. Kano classification further demonstrates that menu availability and thermal comfort facilities belong to the Must-Be category, meaning that failure to provide these attributes may trigger significant customer dissatisfaction. The integration of SERVQUAL and Kano highlights these attributes as the most urgent areas for improvement. The results provide managerial guidance for developing targeted service enhancement initiatives aimed at strengthening customer satisfaction, retention, and competitive advantage.

This research investigates the integration of Sound Governance principles within the sustainable tourism policy cycle as a mechanism to mitigate institutional fragmentation and evaluation inefficiencies in developing economies. Adopting a sequential explanatory mixed-methods design, the study establishes a multidimensional evaluation framework congruent with the Sustainable Development Goals (SDGs). Policy performance is rigorously analyzed across five strategic domains: Economy, Social-Welfare, Culture-Education, Environment, and Governance. The quantitative methodology employs 17 adapted SDG indicators to assess policy efficacy, while the subsequent qualitative phase utilizes semi-structured interviews and stakeholder mapping to deconstruct complex power dynamics within multi-actor co-management structures. The empirical findings demonstrate that Sound Governance—predicated on transparency and accountability—acts as a fundamental catalyst for policy effectiveness. It significantly enhances destination sustainability through a structured input-process-output-outcome-impact pathway. Evidence from the case study of Penglipuran Village, Bali, validates these results, showing that while indigenous institutional legitimacy bolsters social responsiveness, it remains susceptible to economic dependencies driven by overtourism. Ultimately, this study asserts that embedding SDGs into the policy evaluation cycle elevates assessments from perfunctory administrative exercises to strategic instruments essential for ecosystem preservation and long-term demand stability. These insights establish Sound Governance as a strategic intangible asset, providing significant theoretical contributions to development administration and offering pragmatic frameworks for policy-makers managing sustainable destinations in competitive global markets.

This study aims to identify and explain the factors that influence business management, particularly through a case study of a shipping company. The research employed a descriptive qualitative approach using a literature review method. Secondary data were collected from reputable national and international journal articles that had undergone a peer review process, ensuring that the sources used were academically reliable and relevant to the research focus. The data were analyzed through content analysis and thematic analysis to identify patterns, relationships, and key themes related to business management practices. The results of the study show that organizational structure, leadership, and communication are important factors that influence the effectiveness of business management. Organizational structure contributes to the clarity of roles, responsibilities, and work coordination. Leadership affects direction, decision-making, and employee motivation, while communication supports information flow, coordination, and organizational effectiveness. The managerial implications of this study indicate that efficient business management requires a well-structured organization, effective leadership, and clear communication to support better operational performance and decision-making

The drainage system is critical infrastructure for managing stormwater runoff in densely built urban areas, including higher education institutions. This study aims to evaluate the capacity performance of the existing drainage channels in the UPN "Veteran" Jawa Timur campus area. The evaluation was conducted through two main stages: hydrological analysis using the rational method to estimate the design runoff discharge for a 10-year return period, and hydraulic analysis using Manning's equation to calculate the channel cross-sectional capacity in accordance with Permen PU No. 12 of 2014. Based on the assessment of 43 drainage channels, the results showed that 33 channels (76.7%) are still functioning optimally and capable of accommodating the design discharge. Conversely, 10 channels (23.3%) were identified as having insufficient capacity. This capacity deficit was triggered by initial designs that did not accommodate the 10-year return period flood discharge, increased runoff coefficients due to massive pavement development, and effective cross-section narrowing caused by sedimentation. To mitigate inundation issues, this study recommends redesigning the failing channels using an economical hydraulic cross-section, accompanied by periodic normalization and dredging for functional channels. The findings of this study are expected to serve as technical guidelines for the optimal and sustainable management of campus drainage infrastructure.

The quality of life and well-being of women in Indonesia can be measured through the Female Life Expectancy indicator. Data on Female Life Expectancy from 2022 to 2024 shows a nationally positive trend; however, a significant disparity persists across provinces, particularly between the Western and Eastern regions of Indonesia. The nation still faces challenges in ensuring an equitable quality of life for women, as evidenced by the national Female Life Expectancy (FLE) in 2024 at 74.21 years, which remains lower than ASEAN counterparts such as Singapore at 83.86 years. Furthermore, regional imbalances are reflected in the performance gap between D.I. Yogyakarta (77.4 years) and West Sulawesi (68.28 years). This study aims to analyze the effects of Women's Income Contribution, Access to Clean Water, the Number of Families Receiving Social Assistance, and Women's Mean Years of Schooling on Female Life Expectancy in Indonesia during the 2022–2024 period. The estimation method applied in this research is the Fixed Effect Model (FEM) via a quantitative panel data regression approach, spanning an observation area of 33 provinces (n=99). Based on the analysis, Female Life Expectancy is proven to be positively and significantly influenced by Women's Mean Years of Schooling and Access to Clean Water. These findings indicate that human resource quality and environmental conditions serve as dominant factors in driving up Female Life Expectancy. Therefore, government policy interventions should ideally focus on expanding educational access for women and ensuring the equitable distribution of clean water infrastructure.

This study investigates the role of Baitul Maal wa Tamwil (BMT) in empowering Micro, Small, and Medium Enterprises (MSMEs) through the integration of Maqashid Sharia principles and financial inclusion strategies. Despite the strategic importance of MSMEs in economic growth and poverty reduction, many face challenges in accessing formal financial services. BMT, with its dual function of social (maal) and commercial (tamwil) activities, offers a unique platform to bridge this gap. Using a qualitative systematic literature review guided by PRISMA, this study analyzes 30 relevant articles to examine BMT operational models, implementation of Maqashid Sharia objectives, financial inclusion practices, and their impact on MSME performance. Findings indicate that BMT effectively supports MSMEs in capital access, income generation, and business resilience, but inconsistencies in balancing social and commercial objectives limit. holistic empowerment. Integrating Maqashid Sharia principles enhances ethical and sustainable outcomes, while financial inclusion expands outreach to underserved entrepreneurs. Optimization strategies, including strengthening institutional capacity, combining financial and non-financial support, and context-specific interventions, are essential for maximizing BMT effectiveness. This study contributes a comprehensive framework linking ethical, financial, and empowerment dimensions, offering practical guidance for policymakers and BMT managers in promoting inclusive and sustainable MSME development.

This study aims to determine the influence of work environment and work motivation on employee performance at PT. Bahari Bahagia Ria Jambi. This study uses quantitative methods. The population and sample in this study were all employees of PT. Bahari Bahagia Ria Jambi, totaling 76 respondents using saturated sampling techniques. The analysis method uses descriptive analysis. Instrument testing by conducting Validity Test and Reliability Test, also with Multiple Linear Regression and Classical Assumption Test. Hypothesis testing with t-test (Partial Test) and f-test (Simultaneous Test) using SPSS tools. The results of this study indicate that the performance description is in the very high category, the work environment is in the very supportive category and work motivation is in the very motivated category. The work environment has a positive and significant effect on employee performance at PT. Bahari Bahagia Ria Jambi, work motivation has a positive and significant effect on employee performance and simultaneously (simultaneously) the work environment and work motivation have a positive and significant effect on employee performance. The suggestions from this research are: (1) Employees should always maintain good relationships with each other so that the company's goals can be realized (2) Leaders should always provide encouragement so that employees can carry out their duties well (3) Companies should always pay attention to the potential of their employees and the efforts made to develop this potential through training.

The rapid growth of e-commerce has significantly transformed consumer purchasing behavior, particularly in how information is accessed and evaluated. This study aims to analyze the impact of online reviews on consumer purchasing decisions, with a specific focus on the mediating role of consumer trust. A quantitative research approach was employed using data collected from 150 e-commerce users through an online questionnaire. The data were analyzed using regression analysis and Structural Equation Modeling (SEM) to examine the relationships between variables.The results indicate that online reviews have a significant and positive effect on purchasing decisions. Additionally, online reviews significantly influence consumer trust, which in turn positively affects purchasing decisions. The findings also reveal that consumer trust partially mediates the relationship between online reviews and purchasing decisions. This suggests that credible, high-quality, and consistent reviews not only directly influence consumer decisions but also indirectly affect them by building trust.This study contributes to the existing literature on electronic word-of-mouth (e-WOM) and consumer behavior by confirming the importance of online reviews in shaping purchasing decisions in digital environments. From a practical perspective, the findings highlight the need for e-commerce businesses to effectively manage online reviews, encourage authentic customer feedback, and maintain transparency to enhance consumer trust and improve sales performance.

This study aims to develop a more systematic system for evaluating the performance of Community Health Centers (Puskesmas) based on the Health Center Management cluster. Performance evaluation of Puskesmas plays an important role in improving the quality of public healthcare services, particularly in Sragen Regency. However, the current evaluation process has not been integrated into a computerized system, making it less effective in supporting decision-making. Therefore, this study develops a decision support system by integrating the Analytic Hierarchy Process (AHP) and the *Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method is used to determine the weight of each criterion based on its level of importance, while the TOPSIS method is applied to generate an objective ranking of Puskesmas performance. The results indicate that the system is capable of utilizing nine evaluation criteria to produce a ranking of Puskesmas within the Health Center Management cluster, from the highest to the lowest score. The developed system is expected to support a more effective evaluation process and improve decision-making. Future research may enhance the system by incorporating additional evaluation clusters, expanding the number of assessment criteria, and optimizing its features and security.

Conflict is an inevitable phenomenon in educational environments due to differences in characteristics, interests, perceptions, and goals among school members. If not managed properly, conflict can disrupt the learning process, weaken social relationships, and negatively affect educational quality. This study aims to analyze the role of collaborative conflict management in improving the quality of education in madrasahs and schools. The research employed a qualitative approach using a library research method by reviewing various books, scientific journals, and relevant literature related to conflict management and education. The findings indicate that collaborative conflict management, implemented through effective communication, deliberation, discussion, negotiation, and cooperation, can facilitate constructive and sustainable conflict resolution. Furthermore, the application of collaborative conflict management contributes to strengthening cooperation among school members, creating a harmonious and conducive learning environment, and improving teacher performance as well as student learning outcomes. School principals play a strategic role as mediators and facilitators in guiding conflict resolution processes fairly and participatively. Therefore, collaborative conflict management can serve as an effective strategy for enhancing educational quality and fostering a positive educational climate in madrasahs and schools.

The development and performance of high-strength, environmentally friendly, and renewable nunang fiber (Cordia dichotoma)-reinforced polyester composites continue to be refined to achieve optimal performance. This study characterizes the key properties of nunang fiber-reinforced polyester composites with carbon powder fillers. The polyester composites were fabricated using a hot-press method with a nunang fiber volume fraction of 20% (by weight) and varying carbon powder content from 0–10% (by weight). The results of the investigation show that the tensile and bending strengths of the composites increase with increasing carbon powder content up to 2.5%. However, adding carbon powder filler up to 10% to the polyester–nunang fiber composites reduces their tensile and bending strengths. A different trend is observed for the impact toughness of the composites, which increases up to a carbon powder content of 5% and decreases when the carbon powder content reaches 10%. This phenomenon is attributed to the ability to form an optimal fiber-matrix interface between the nunang fibers and the polyester–carbon powder matrix. SEM morphological observations confirmed fiber pull-out failure and matrix failure due to the high stiffness caused by the presence of the carbon powder filler.

The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.

This study examines the effect of workload and work-life balance on employee performance through job satisfaction among working master’s students in Jakarta. This population faces dual demands from professional and academic responsibilities, making the maintenance of job satisfaction and performance increasingly challenging. Drawing on the Job Demands-Resources (JD-R) Model and Social Exchange Theory, this study investigates how job demands and resources influence employee outcomes. A quantitative causal approach was employed using data from 57 working master’s students collected through convenience sampling. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 4. The results show that workload negatively and significantly affects job satisfaction but has no significant direct effect on employee performance. In contrast, work-life balance positively and significantly affects both job satisfaction and employee performance. Job satisfaction positively affects employee performance and fully mediates the relationship between workload and employee performance, while partially mediating the relationship between work-life balance and employee performance. These findings support the JD-R Model and Social Exchange Theory by highlighting the role of job satisfaction as a mechanism linking work conditions and employee performance. Practically, organizations and higher education institutions should support work-life balance and manage workload effectively to enhance satisfaction and performance among working postgraduate students.