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Micro, small, and medium enterprises (MSMEs) constitute a pivotal pillar of local economic resilience in Bandar Lampung, particularly in the fashion, salon and beauty, and professional service sectors. Notwithstanding their considerable growth potential, many MSMEs continue to encounter structural constraints that impede business expansion, most notably limited entrepreneurial capability, restricted access to capital, and the suboptimal utilization of digital marketing. Against this backdrop, the present study aims to examine the partial and simultaneous effects of entrepreneurship training, capital access, and digital marketing strategy on MSME business expansion. This research employed a quantitative explanatory design with a cross-sectional approach. Data were collected from 100 MSME owners selected through purposive sampling from a population of 2,785 enterprises, and were analyzed using multiple linear regression with SPSS. The findings reveal that entrepreneurship training does not exert a statistically significant effect on business expansion (B = 0.000; p = 0.998), indicating that training, in isolation, has not yet been effectively translated into concrete growth-oriented business practices. By contrast, access to capital has a positive and significant effect (B = 0.263; p = 0.001), demonstrating that financial accessibility enhances operational scale and market development. More importantly, digital marketing strategy emerges as the most influential determinant of business expansion (B = 0.593; p < 0.001), confirming that digital platform utilization substantially strengthens market reach, customer engagement, and business competitiveness. Simultaneously, the three variables significantly affect MSME expansion (F = 34.061; p < 0.001), with an explanatory power of 51.6%. It can therefore be concluded that MSME expansion is primarily driven by the synergy of financial accessibility and digital market adaptation, while entrepreneurship training becomes meaningful only when effectively operationalized within business practice.

Chronic Kidney Disease (CKD) is a growing global health concern that significantly affects patients’ quality of life. At Bhakti Asih General Hospital, Tangerang, the number of hemodialysis patients increased by 20.42% and dialysis procedures by 25.06% between 2023 and 2024. Despite this service expansion, preliminary findings revealed that 32% of patients reported poor quality of life, 31% experienced low engagement in care, 34% demonstrated low self-efficacy particularly in dietary and fluid management and 32% faced accessibility barriers. These findings indicate a gap between increased service volume and patient-centered outcomes. This study aimed to analyze the effects of patient engagement and self-efficacy on the quality of life of hemodialysis patients, with healthcare accessibility as a mediating variable. A quantitative cross-sectional design was employed. Active hemodialysis patients were selected using purposive sampling. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling (SEM).The results demonstrated that patient engagement and self-efficacy had significant positive effects on quality of life, both directly and indirectly through accessibility. Accessibility also significantly influenced quality of life and strengthened the relationships between patient engagement, self-efficacy, and quality of life.These findings highlight the importance of integrating patient engagement strategies, strengthening self-efficacy through education, and improving service accessibility to enhance quality of life among hemodialysis patients

Chronic kidney disease (CKD) is a growing global health concern that frequently remains undiagnosed until advanced stages. Early detection through simple laboratory screening is essential to prevent disease progression and associated cardiometabolic complications. This community service program aimed to assess kidney function using serum creatinine and estimated glomerular filtration rate (eGFR), while increasing public awareness regarding CKD prevention. A total of 59 participants were included, with a mean age of 39.15 ± 15.39 years (range 16–75 years), predominantly female (74.58%). The mean serum creatinine level was 1.0 ± 0.19 mg/dL, and the mean eGFR was 91.08 ± 20.53 mL/min/1.73 m². Most participants demonstrated normal kidney function (28.8%) or mild decline (21.6%). A progressive reduction in eGFR with increasing age was observed, reflecting the physiological decline in nephron mass and renal perfusion. The program also provided education on kidney-protective practices, including optimal blood pressure control, diabetes management, adequate hydration, and avoidance of nephrotoxic agents. This intervention improved participants’ understanding of CKD risk factors and the importance of regular screening. In conclusion, serum creatinine and eGFR evaluation offer simple, accurate, and practical tools for early CKD detection, supporting promotive–preventive strategies to slow disease progression and enhance quality of life in at-risk populations.

Background: Dietary adherence is a crucial component in the management of patients with chronic kidney disease (CKD) undergoing hemodialysis. Non-adherence may lead to metabolic imbalance, increased morbidity, and reduced quality of life.Objective: To identify factors associated with dietary non-adherence among patients with CKD undergoing hemodialysis at Imelda Hospital, Medan. Methods: A cross-sectional study was conducted among patients undergoing routine hemodialysis. Data were collected using structured questionnaires assessing knowledge, attitudes, and family support related to dietary adherence. Statistical analysis was performed using chi-square tests and logistic regression with a significance level of p < 0.05. Results: Knowledge, attitudes, and family support were significantly associated with dietary non-adherence (p < 0.05). Family support was identified as the most influential factor. Conclusion: Dietary non-adherence among hemodialysis patients is influenced by knowledge, attitudes, and family support. Strengthening patient education and family-centered nursing interventions is essential to improve dietary adherence.

This study conducts a systematic literature review (SLR) and bibliometric analysis to map and synthesize research on digital transformation in talent management and its impact on employee retention in Micro, Small, and Medium Enterprises (MSMEs). Against the backdrop of high turnover rates and intense competition for talent, this research aims to identify the key interconnections between digital technologies, talent management practices, and retention outcomes within the MSME context. The methodology involved a comprehensive analysis of reputable databases using VOSviewer software for bibliometric mapping, focusing on co-authorship, co-occurrence, and citation networks. The findings reveal a robust, interconnected model centered on three core pillars: the adoption of digital technologies (e.g., AI, cloud-based HR systems), the implementation of strategic talent practices (notably digital employer branding and work flexibility), and the critical mediating role of employee psychological factors (job satisfaction and organizational commitment). The analysis demonstrates that successful retention in MSMEs is not merely a function of technological adoption but is achieved through a synergistic integration where technology enables effective talent management, which in turn fosters commitment and reduces turnover intention. This review contributes a comprehensive conceptual model that clarifies these dynamic relationships. The practical implication for MSME managers is the necessity of a holistic strategy that simultaneously develops digital infrastructure, refines talent management, and cultivates a supportive organizational culture to secure a sustainable competitive advantage through enhanced employee retention.

Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, deep latent features extracted through an unsupervised Long Short-Term Memory (LSTM) encoder, and quantum-inspired features derived from a five-qubit circuit implemented in PennyLane. These heterogeneous features are fused using a feature-wise attention mechanism combined with an AdaBoost classifier to dynamically weight feature contributions and enhance decision boundaries. Experiments were conducted on three benchmark medical datasets—CKD, early-stage diabetes, and heart disease—under both balanced and imbalanced configurations using stratified five-fold cross-validation. All preprocessing and feature extraction steps were carefully isolated within each fold to ensure fair evaluation. The proposed hybrid model consistently outperformed conventional and ensemble baselines, achieving peak accuracies of 99.75% (CKD), 96.73% (diabetes), and 91.40% (heart disease) with corresponding ROC AUCs up to 1.00. Ablation analyses confirmed that attention-based fusion substantially improved both accuracy and recall, particularly under imbalanced conditions, while SMOTE contributed minimally once feature-level optimization was applied. Overall, the attention-guided AdaBoost framework provides a robust and interpretable approach for clinical risk prediction, demonstrating that integrating diverse quantum, deep, and classical representations can significantly enhance feature discriminability and model reliability in structured medical data.

 The worsening economic conditions in this new normal era have made the family economy even worse. The prolonged lockdown conditions have limited employment opportunities, while income has decreased. To balance the amount of expenditure and family income, additional family income is needed, in conditions like this, the role of a woman in a family is needed. This study will try to examine and formulate a model of women's empowerment with a creative economy community approach in improving family welfare. Rural women's empowerment activities that will be carried out are providing entrepreneurial motivation, forming business groups, training and business management. Data were collected using observation, interview and questionnaire methods. This research was conducted on village communities, especially housewives in Beringin Village, Beringin District, Deli Serdang Regency. The research used experimental and survey methods. Data analysis techniques used qualitative and quantitative descriptive methods. The outputs of the research are (1) a draft model of women's empowerment with a creative economy community approach in improving family welfare and (2) publication in a national journal with a Technology Readiness Level (TKT) level three. The results of this first year of research are a draft model of women's empowerment. This empowerment model is able to attract the attention of women to actively participate in improving family welfare.

This study investigates the simultaneous and individual effects of School-Based Management (SBM), principal supervision, transformational leadership, and work culture on the performance of junior high school teachers in Serang City, Indonesia. Against the backdrop of the Merdeka Curriculum and the shift to hybrid learning in the post-pandemic era, the research addresses persistent challenges such as hierarchical school cultures and technological disparities. Employing a quantitative ex post facto approach, data were collected from 316 teachers across public and private schools through structured questionnaires, classroom observations, and document analysis. Multiple linear regression analysis reveals that SBM, principal supervision, transformational leadership, and work culture each have significant and positive impacts on teacher performance, with transformational leadership and work culture exerting the most substantial influence. The results demonstrate that 74% of the variance in teacher performance can be explained by these four organizational factors, underscoring their critical role in shaping pedagogical competence, classroom management, and professional development. The study further highlights the necessity for comprehensive managerial training, the integration of technology in supervisory practices, and the cultivation of collaborative and innovative work cultures. Practical recommendations include enhancing principal leadership capacity, fostering instructional supervision, and investing in digital infrastructure to support sustainable improvements in teacher performance. The findings contribute to the body of knowledge on educational management in Indonesia and offer actionable insights for policymakers, school leaders, and educators aiming to strengthen teacher effectiveness amidst ongoing educational reforms and digital transformation.

Chronic kidney disease (CKD) is a progressive and irreversible decline in kidney function that, if left untreated, can lead to serious complications. Ultrasonography (USG) is a widely used imaging modality for detecting CKD, yet its interpretation remains highly dependent on the radiologist’s expertise. This study aims to develop a CKD detection system using a convolutional neural network (CNN) on kidney ultrasound images based on estimated glomerular filtration rate (eGFR), and to evaluate the system’s performance. This research employed a research and development (R&D) approach with an experimental design. The dataset consisted of kidney ultrasound images from CKD and non-CKD patients with corresponding eGFR values. The methodology included image preprocessing, CNN model training, and accuracy evaluation using classification metrics. The results demonstrated that the developed CNN model achieved a total accuracy of 97% on internal test data and 95.8% on external validation. The model’s sensitivity reached 100% for the normal category, 91.67% for CKD stage 4, and 90% for CKD stage 5. Specificity exceeded 96% across all categories, with high precision and F1-scores above 94% for all classes. This system has proven to be effective as a diagnostic support tool for automatically detecting CKD through kidney ultrasound imaging. Its advantages lie not only in accurately classifying CKD from USG images but also in correlating the classification results with patients' eGFR values. This provides more precise clinical information and supports appropriate CKD staging and management planning.

This study is prompted by the reduction in the Rexona brand index in 2024, which coincided with several program-related mistakes that generated consumer dissatisfaction and led to a noticeable erosion of both brand image and brand trust. Such circumstances highlight the vulnerability of even well-established brands when faced with consumer discontent, as missteps in marketing campaigns or product related initiatives can have a lasting impact on how consumers perceive and evaluate a brand. For companies operating in highly competitive industries, these issues raise serious concerns, since negative brand perceptions and diminished trust are likely to undermine consumer loyalty, weaken brand equity, and reduce the likelihood of long-term purchasing behavior. Against this backdrop, the present research seeks to examine more deeply how brand image and brand trust contribute to shaping consumers repurchase intention for Rexona products in Surabaya, a city that represents a dynamic and diverse consumer market. To achieve this objective, the study adopted a quantitative research approach, applying the Partial Least Squares (PLS) method for statistical analysis. Data were obtained through purposive sampling, involving 110 respondents who were identified as active and cosistent user of Rexona products within the city of Surabaya. The findings of the research reveal that brand image shows a benefical effect on repurchase intention, while brand trust demonstrates a significant role in enhancing consumer willingness to engage in repeat purchases. These results emphasize that the synergy between a strong brand image and sustained consumer trust acts as a fundamental determinant for maintaining repurchase intention, particularly within highly competitive market environments.

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy

Chronic Kidney Disease (CKD) or chronic kidney failure is a condition that occurs due to a decrease in the kidney's ability to maintain balance in the body so that hemodialysis therapy is needed to replace the kidney function. Hemodialysis therapy can cause various physical effects and mental conditions of patients so that it can affect the patient's quality of life. Objective : to determine the relationship between anxiety levels and quality of life of CKD patients undergoing hemodialysis at Lakipada Hospital. Research Method : the research design used is quantitative research with a Cross Sectional approach, using a " saturated sampling" sampling technique with a sample size of 40 respondents. The independent variable is the level of anxiety and the dependent variable is the quality of life. Data were analyzed using the Chi-Square statistical test at a significance level of α <0.05. Research Results : it was found that there was a relationship between anxiety levels and quality of life in CKD patients undergoing hemodialysis with a p-value = 0.000. Conclusion : there is a relationship between anxiety levels and quality of life in CKD patients undergoing hemodialysis.

This study examines the impact of boycott actions on changes in company performance, including stock prices, trading volume, and sales, among Israel-affiliated companies listed on the Indonesia Stock Exchange (IDX) in 2023. Using an event study method with a 60-day observation window (H-30 to H+30), the research found a significant decrease in stock price, changes in trading activity, and varying effects on sales. The findings indicate that boycotts, as social movements, can influence market sentiment and investor decisions, especially under the backdrop of global political conflicts.

Vehicles in Indonesia are an important part of moving people or goods from one place to the destination, one of which is the transportation of boxed goods. However, the lack of security for boxed goods transport vehicles has always been the target of burglary of goods cargo in the area of Jalan Perniagaan Barat Roa Malaka Tambora, West Jakarta, perpetrators of goods theft from boxed goods cars that are traveling. Therefore, it is necessary to have a security system that can notify the driver when the back door of the vehicle is broken into, namely a Security Detection Tool on Iot-Based Goods Transport Vehicles Using Telegram this tool is able to detect the movement of the thief and evidence will be sent via Telegram. The research method used in this research is research adopting the ADDIE model R&D method, namely Analysis, Design, Development, Implementation, and Evaluation (assessment) of the reference model (ADDIE). In implementing the design of a Security Detection Tool on Iot-Based Goods Transport Vehicles Using Telegram Using the Esp32 Cam Microcontroller, MCU Node, and PIR sensors. Based on the Security Detection Tool, the transportation of box goods works well. Using the PIR Sensor, which is tested and applied directly to the vehicle. The tool is capable of sending telegrams in the form of messages, locations, and photos of the break-in.

In the framework of Islamic economics, which places a strong emphasis on social justice and ethics, fiscal policy is crucial in controlling a nation's economy. The necessity to comprehend how fiscal policy can be executed in line with sharia principles in order to attain public welfare serves as the backdrop for this study.  This study's goal is to investigate the connection between Islamic economics and fiscal policy and evaluate how it affects the general welfare. The approach is library research, which involves gathering and examining a variety of works pertaining to Islamic economics' fiscal policy. The findings demonstrate how fiscal policies rooted in Islamic principles, like zakat and charity, can promote equitable and inclusive economic growth. In the Islamic system, fiscal policy fosters social and spiritual peace in addition to financial welfare. To sum up, fiscal policies that adhere to sharia principles can establish a just, durable, and advantageous economic structure that benefits all societal levels. Therefore, in order to attain economic stability and overall welfare, it is crucial that the government execute fiscal policies that are consistent with Islamic beliefs.

Chronic kidney disease (CKD) is a metabolic disorder that is increasingly prevalent among the productive-age population and can significantly impair quality of life, particularly due to its progressive nature and often asymptomatic presentation in the early stages. Routine assessments of kidney function—such as estimated glomerular filtration rate (eGFR) and serum creatinine levels—are essential for the early detection of kidney impairment. The Community Service Program (PKM) conducted in Grogol Village aimed to raise public awareness regarding the importance of early screening for kidney dysfunction. Among the 71 participants involved in the activity, 9 individuals (12.68%) had elevated serum creatinine levels, 4 individuals (5.63%) showed evidence of stage 3a kidney function decline, and 31 individuals (43.66%) were identified with stage 2 kidney function decline. Only 36 participants (50.7%) had normal kidney function. These results underscore the necessity of early detection efforts to prevent the progression of CKD and to promote sustained public awareness on the importance of maintaining kidney and metabolic health.   Keywords: Chronic Kidney Disease, Creatinine, eGFR, Early Detection, Productive Age

In the furniture packaging process, there is one problem that often hinders the effectiveness of time and space used. Many furnitures are designed in compact or intact forms so they cannot be disassembled. This affects the process of loading goods into a truck or container which is becoming increasingly limited in quantity. If the furniture is designed as knockdown, the process of loading goods will be easier and can save time, space, and energy. The knockdown furniture designed is a chair inspired by disassembly toys such as lego, figurines or action figures, and tazos. For aesthetic impression to the product, ornaments or decorations are added with materials from wood waste. Various types of wood waste found in furniture industry locations include bark, wood pieces, wood chips, and sawdust. The use of wood waste as decorative element in designed products can reduce the amount that often piles up as waste that cannot be used. This waste is even only used as burning material for other production waste causing negative impact on the environment due to air pollution. The wood waste utilized is teak wood branch waste that cut into small circles to be glued to the knockdown chair designed.

As China accelerates Hainan's development into a globally competitive Free Trade Port (FTP), this study examines how strategic policies are transforming the island into an international tourism hub. Against the backdrop of China's dual-circulation economic strategy, the research employs policy analysis, tourism statistics (2018-2023), and case studies of key projects like the Haitang Bay duty-free shopping complex and Sanya's luxury resort developments to assess Hainan's transformation. The methodology combines quantitative analysis of visitor growth patterns with qualitative evaluation of infrastructure investments and marketing campaigns targeting international markets. Findings reveal that visa-free policies for 59 countries and expanded duty-free quotas (100,000 RMB annually per visitor) have increased foreign tourist arrivals by 48% since 2020, while digital initiatives like the "Hainan Travel App" have enhanced visitor experiences. However, results also identify persistent challenges including seasonal tourism imbalances, environmental pressures from coastal development, and competition with established Southeast Asian destinations. The study concludes that while Hainan has successfully elevated its status among Chinese domestic tourists, achieving global hub status requires improved air connectivity, cultural tourism diversification beyond beach resorts, and stronger sustainability measures - offering valuable lessons for tourism-led development in emerging economies.

Exploitation is an activity carried out to gain benefits by harming others arbitrarily without responsibility. Exploitation is a threat in the field of Cyber Security that not only poses risks but also jeopardizes an individual's security and privacy. According to data from the Institute of Internal Auditors, financial losses due to cybercrime exploitation worldwide reached 8 trillion US dollars in 2023. In Cyber Security, one exploitation technique involves using Remote Access methods to take over access rights and enable remote system control. Based on this issue, the author conducts research on Remote Access using three different target models based on the Windows operating system. These three targets will demonstrate how vulnerabilities in an operating system can be exploited to gain Remote Access. The method for testing Remote Access involves identifying the vulnerabilities available in the target system. The study employs three techniques: exploiting the ms17-010 vulnerability, utilizing the SmbGhost vulnerability, and using a backdoor. The results show that all three approaches successfully penetrated the target system and made modifications.

Chronic kidney failure or chronic kidney disease (CKD) is a non-communicable disease that has increased the prevalence of mortality and morbidity in the last 20 years. The prevalence according to RISKESDAS in 2013 showed CKD was 2% and increased to 3.8% (739,208) in 2018. Dialysis is a kidney replacement therapy (TPG) which is used to prevent kidney deterioration. TPG carried out throughout life will change the patient's life physically, cognitively, psychologically, socially, and spiritually. When undergoing dialysis, patients experience ambivalent feelings towards the hemodialysis process that they are currently undergoing, namely positive feelings in the form of happiness when washing freely and negative feelings including feelings of anxiety and worry about the disease they are experiencing. This study aims to determine the existence of family relationships and the length of undergoing hemodialysis on the level of anxiety in patients with chronic kidney failure at Hospital X Jakarta. The method used is quantitative analysis with a cross-sectional research design on 45 respondents with the Spearman Rank correlation test. The results show a significant relationship between family support and the length of time undergoing hemodialysis with the level of anxiety in chronic kidney failure patients with values of ? = 0.001 < ? and ? = 0.007 < ?, correlation coefficient (rs) = 0.472 and (rs) = -0.397, so H0 is rejected and H1 is accepted with a moderate level of significance. In conclusion, family support and the length of time undergoing hemodialysis have a moderate relationship to anxiety levels in chronic kidney failure patients.