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This research aims to analyze the implementation of the numeracy learning method using the Gasing Mathematics approach which is associated with traditional games for grade 4 students at SD N 1 Demulih. This research uses a qualitative descriptive method to describe the application of Gasing Mathematics in the numeracy learning process. Data was obtained through observation, interviews and documentation. The research results showed that the combination of Gasing Mathematics and traditional games such as poh-pohan, gowak-gowakan, and meyong-meyongan succeeded in creating an interactive, fun, and effective learning environment in improving mathematical understanding. The integration of traditional games with Gasing Mathematics makes it easier for students to overcome numeracy difficulties, increases participation, and motivates them in the learning process. This article plays a role in providing new insights into innovative and contextual mathematics learning strategies, especially in supporting the improvement of numeracy skills in elementary schools.

Problematic Internet use is the inability to control the desire to use the Internet, which is associated with psychological, social, educational and vocational problems. The internet is a place where young people can get all the information they need. Therefore, the use of the Internet by the younger generation must be directed so that they do not encounter information that is false, misleading, or even detrimental to themselves. Excessive internet use can also worsen the quality of teenagers' sleep, and teenagers may even be at risk of experiencing more serious mental health problems, such as depression. The aim of this activity is to increase knowledge about preventing internet addiction by doing physical activity. The results of the questionnaire obtained from the ASSIST questionnaire showed that of the 36 respondents there were 12 respondents (33.3%) who were addicted to smoking. Meanwhile, the Self Reporting Questionnaire (SRQ) 20 questionnaire shows that out of 36 respondents there were 8 respondents (22.2%). Internet addiction in teenagers can affect the content of their thoughts regarding the life goals they pursue

Background: Infants born with Low Birth Weight (LBW) are a significant factor contributing to stunting in children under five. Therefore, a system is needed for early detection of LBW. To develop an accurate system, accurate variables are necessary. Descriptive research on the determinants of LBW based on maternal history is crucial. Objective: To identify the determinants of LBW from maternal history as a basis for developing Fuzzy Logic Method technology. Method: This quantitative study employs a descriptive analytic approach. Results: SPSS data analysis indicates a relationship between LBW and gestational age (p-value: 0.001), parity (p-value: 0.008), Mid-Upper Arm Circumference (MUAC) (p-value: 0.758), hemoglobin levels (p-value: 0.021), and pregnancy risk (p-value: 0.001). Conclusion: The independent variables significantly associated with LBW are gestational age, parity, anemia status from hemoglobin data, and pregnancy risk status. Conversely, MUAC is not significantly associated with LBW.

Researchers argues that large language models are critical to the advancement of artificial intelligence and will play a vital role in future progress. Despite criticism and occasional bans, these models are persistent and poised to continue. This analysis delves into the potential benefits and challenges of utilising extensive language models in education, considering perspectives from both students and educators. These models' current status and applications are briefly reviewed, emphasising their use in generating educational material, increasing student engagement, and personalising learning experiences. The discussed challenges include the need for educators and students to develop skills and literacies to understand and navigate the technology and its limitations. Employing a strategic and pedagogical approach that stresses critical thinking and fact-checking is a crucial component of effectively integrating these models into educational institutions. AI applications in education often encounter additional challenges, including potential biases, the necessity for ongoing human oversight, and the risks of misuse. However, these challenges may present educational opportunities for students to become familiar with social biases, complexities, and risks associated with AI. The essay presents solutions for effectively addressing these challenges to ensure the responsible and ethical use of large language models in education.

This study examines the asbab al-nuzul of Qur’an Surah Al-Baqarah verse 158 and its relationship with the practice of sa’i in Hajj and Umrah as an expression of gratitude for Allah’s blessings. This verse was revealed to address the doubts of some Companions regarding the legitimacy of sa’i between Safa and Marwah, which during the pre-Islamic era had been associated with idolatrous practices. Using a library research method and exegetical analysis, this study demonstrates that Surah Al-Baqarah verse 158 affirms Safa and Marwah as part of the symbols (sha‘a’ir) of Allah that must be honored and performed within the rites of Hajj and Umrah. The practice of sa’i is not merely a ritual obligation but also embodies profound historical, spiritual, and educational values rooted in the story of Hajar’s struggle in seeking water for Prophet Ismail. Values of patience, effort, reliance on Allah, and gratitude are reflected in every step of sa’i. Understanding the asbab al-nuzul of this verse is expected to encourage Muslims to perform Hajj and Umrah with deeper awareness, sincerity, and meaning, so that worship transcends formal ritual and contributes to character building and the strengthening of faith.    

Background: Anxiety is frequently experienced by family members of patients admitted to intensive care units (ICUs), largely due to uncertainty regarding the patient’s condition and dependence on specialized treatment. Nurses’ caring behavior is often regarded as an essential component of supportive care that may help reduce this anxiety. This study examines the association between nurses’ caring behavior and the anxiety levels of patients’ families in the ICU setting. Methods: A non-experimental research used cross sectional design was employed using purposive sampling. The study involved 30 family members of ICU patients. Data were collected using a validated caring behavior questionnaire and the Hamilton Anxiety Rating Scale (HARS). The Spearman rank correlation test was used for statistical analysis. Results: The findings showed a p-value of 0.505 (> 0.05), indicating that nurses’ caring behavior was not significantly associated with the anxiety levels of family members. Conclusion: Nurses’ caring behavior did not demonstrate a significant impact on family anxiety in the ICU. Nevertheless, caring practices remain an essential component of holistic nursing care, and their consistent implementation is recommended to support families during critical illness.                                                                   

Maternal health remains a major global challenge, particularly in developing countries where mothers are still highly vulnerable during childbirth. Postpartum hemorrhage is one of the leading causes of maternal mortality, accounting for approximately 25% of maternal deaths worldwide, and commonly occurs within the first 24 hours after delivery. This study aims to identify factors associated with postpartum hemorrhage at Bakti Timah Pangkalpinang Hospital during 2022–2023. The research applied a case-control design using secondary data obtained from medical records. The study population consisted of 1,002 mothers who gave birth at the hospital, with a sample of 104 respondents divided into 52 case subjects (mothers who experienced postpartum hemorrhage) and 52 control subjects (mothers who did not experience postpartum hemorrhage). Data were analyzed using the Chi-square test. The results showed significant relationships between maternal age (p=0.002; OR=3.600; 95% CI: 1.548–8.371), parity (p=0.000; OR=0.194; 95% CI: 0.079–0.477), and anemia (OR=5.099; 95% CI: 1.940–13.399) with the incidence of postpartum hemorrhage. The study concludes that mothers aged under 20 years and over 35 years, multiparous mothers, and mothers with anemia have a higher risk of experiencing postpartum hemorrhage.

In an increasingly interconnected world, computer networks play a crucial role in business operations. This research focuses on the analysis of the client-server network system at PT. XYZ, which shares a building with several other companies. The objective is to evaluate the current network infrastructure, identify potential issues, and propose improvements to enhance performance and security. A qualitative approach was employed, utilizing case study methods, interviews, and observations to gather in-depth data on the network's configuration, IP address management, and security measures. The findings indicate that while the existing network functions adequately, there are significant risks associated with user access rights and the need for regular maintenance. The implications of this study suggest that implementing stricter security policies and upgrading bandwidth could mitigate risks and improve overall network reliability, thereby supporting business productivity.

The healthcare industry is increasingly relying on medical textiles, particularly single-use items such as surgical gowns, masks, and drapes, to maintain hygiene and prevent infections. However, the widespread use of these single-use textiles raises significant environmental and health concerns. These items are primarily made from non-biodegradable materials, contributing to large volumes of waste and environmental pollution. The production and disposal of single-use textiles also generate carbon emissions, further exacerbating climate change. In response to these challenges, reusable medical textiles have emerged as a more sustainable alternative. Reusable textiles offer several environmental benefits, including reduced resource consumption, lower carbon emissions, and decreased waste generation. Additionally, reusable textiles can improve occupational health by reducing healthcare workers' exposure to harmful chemicals and irritants found in single-use textiles. This study compares the environmental impact and occupational health risks associated with reusable and single-use medical textiles, focusing on factors such as carbon footprint, waste generation, and chemical exposure. Life-cycle assessment (LCA) methodologies were employed to quantify the environmental impacts, while workplace exposure measurements assessed the health risks to healthcare workers. The results indicate that reusable textiles significantly reduce carbon emissions and waste compared to single-use textiles. Furthermore, reusable textiles were associated with lower levels of chemical exposure for healthcare workers. The study concludes with recommendations for healthcare systems to adopt reusable textiles to reduce environmental and health risks, while also suggesting areas for future research on sustainable textile innovations and the integration of reusable systems in healthcare facilities.

The use of AI is seen as aiding the learning process, and students have used AI for various purposes in their coursework. This article aims to investigate the impact of AI use on their innovation and creativity, as well as the possibility of AI replacing lecturers. A qualitative study was conducted with 53 student respondents. Questions were asked about the definition of AI, the applications of AI they use, whether AI can enhance creativity and innovation, and whether AI will one day replace lecturers. The findings indicate that AI is artificial intelligence that serves as an aid in the student learning process. The majority of students use ChatGPT, and 37 students stated that AI can enhance their innovation and creativity by providing inspiration and initial ideas. AI is also a tool that accelerates the learning process and facilitates creative work, as well as AI as a means of developing skills such as critical reasoning and data analysis. However, the majority also stated that dependence on AI can actually reduce critical thinking and creativity. Regarding the role of lecturers, 41 students stated that AI cannot replace them. The implication of these findings is that AI can be used wisely while still being aware of its limitations and ethical use. The role of lecturers must be further enhanced to ensure that student learning processes address AI's limitations and allow students to further enhance their innovation and creativity, while simultaneously mitigating the associated risks.

Street children constitute a highly vulnerable population who spend most of their time in public spaces working in the informal sector and are at increased risk of engaging in deviant behaviours. Social support and resilience are recognised as key protective factors that may enable street children to adapt to adversity. This quantitative study employed a cross-sectional correlational design to examine the association between social support and resilience among street children in Semarang City, Indonesia. A total of 42 street children were recruited using accidental sampling. Data were collected using modified Likert-type questionnaires measuring social support (social embeddedness, enacted support, and perceived support) and resilience (emotion regulation, impulse control, causal analysis, self-efficacy, realistic optimism, empathy, and reaching out). Data were analysed using univariate statistics and Spearman’s rank correlation test. Most respondents reported moderate levels of social support (90.48%) and resilience (66.67%). Spearman’s test indicated a significant, positive, yet low correlation between social support and resilience (p = 0.014; r = 0.228). These findings suggest that higher social support is associated with greater resilience, although other internal and external factors are likely to contribute to resilience among street children.

This meta-analysis investigated the effect of life satisfaction on Sarcoidosis treatment outcomes across 47 studies encompassing 8,932 patients. The findings revealed a significant positive correlation between life satisfaction and treatment success (r = 0.62, p < 0.001). Patients with high life satisfaction scores (>7.5/10) demonstrated a 73% higher likelihood of achieving remission compared to those with low scores (<5/10) (OR = 2.84, 95% CI: 2.31-3.49). Regression analysis indicated that each one-point increase in life satisfaction scores was associated with an 18% reduction in Sarcoidosis relapse rates (β = -0.18, p = 0.002). Treatment adherence and health behaviors were found to mediate the relationship between life satisfaction and Sarcoidosis treatment outcomes, accounting for 42% and 35% of the variance, respectively. Moderator analyses demonstrated stronger effects among patients with disease duration <5 years (p = 0.011) and those with mild to moderate disease severity (p = 0.003). These findings extend the work of Lee et al. (2020) and Martínez-García et al. (2021) by demonstrating a more pronounced effect of life satisfaction on Sarcoidosis treatment compared to other chronic conditions. Notably, contrary to Saketkoo et al (2021) previous study, the effect of life satisfaction remained significant even after controlling for patients' socioeconomic factors (β = 0.41, p < 0.001). These results underscore the crucial role of psychosocial interventions in enhancing Sarcoidosis treatment efficacy, offering new perspectives in the management of this chronic condition.

This study explores the dynamics of digital investment in Indonesia within the framework of Islamic economics. The rapid advancement of technology has facilitated the growth of Sharia-compliant investments through digital platforms, making investment more accessible to the Muslim population. This research categorizes several prominent types of Sharia-compliant digital investments, including Online Sharia Mutual Funds, Sharia-Compliant Stocks, UMKM Crowdfunding, Digital Gold, and Online Sharia Property. Each type is evaluated based on its adherence to Islamic principles, legal regulations, and associated risks and opportunities. The study finds that while digital investment platforms offer considerable accessibility and inclusivity, ensuring Sharia compliance remains a challenge amid evolving regulations and technological innovations. Furthermore, the study addresses the regulatory frameworks that oversee these investment types, such as POJK regulations and MUI fatwas, which play a crucial role in maintaining compliance. This research contributes to the ongoing development of Islamic digital finance in Indonesia, providing insights for regulators, platform providers, and investors who seek to expand Sharia-compliant digital investments responsibly.

This article focuses on enhancing the understanding and awareness of MSME in the Banyumas region about the critical importance of copyright protection. Additionally, it provides assistance in the copyright registration process to improve the competitiveness of their products. A key challenge for MSME business owners in Banyumas is the lack of intellectual property protection, which makes their innovative products vulnerable to imitation and misuse, diminishing their incentive to innovate further. The methodology adopted for this study includes data collection through observation and document analysis. The findings reveal that the program effectively enhanced the knowledge of MSME business owners regarding copyright protection and the associated registration process. Moreover, the mentoring process encouraged greater participation by MSME business owners in using copyright as a tool for product protection. This initiative not only helps safeguard their intellectual property but also has a positive impact on increasing sales and product competitiveness in the marketplace.

Narcotics and psychotropics are two classes of dangerous drugs that are often abused. The number of users of these two drugs in Indonesia has increased significantly. The purpose of writing this article is to review the use of narcotics and psychotropic substances as a medium of treatment according to Islam. There are several narcotic and psychotropic drugs that can be used medically, including codeine, morphine, methadone, diazepam, alprazolam, methylphenidate, and others. In Islam, narcotics and psychotropic substances are associated with khamr and are absolutely forbidden. However, the use of these two classes of drugs is permitted in emergency conditions.

Crime is one of the forms of actions that violate social norms in society. One of the criminal offenses frequently occurring in communities is murder. The focus of this study is to explore the factors that trigger premeditated murder by individuals closely related to the victim and to analyze the efforts made by the police in handling such cases. This research employs an empirical approach, also known as a sociological legal study or field analysis. The respondents in this study include the police officials from Polresta Bandar Lampung, criminal investigators from Polresta Bandar Lampung, and criminal law lecturers from the Faculty of Law at Universitas Lampung. Data were collected through literature reviews and field observations, and analyzed qualitatively. The findings indicate several factors contributing to premeditated murder by close associates, including inadequate economic conditions, low education levels, revenge, and drug use. The police address premeditated murder through both penal and non-penal efforts. Penal efforts involve direct handling of cases by conducting investigations, inquiries, and arrests. Meanwhile, non-penal efforts focus on preventive measures aimed at preventing crimes before they occur. The primary focus of non-penal measures is managing the conditions that trigger criminal acts.

Background: The most common site of metastases in people with breast cancer is bone metastasis. Patients with advanced phases of cancer are associated with an increased prevalence of several types of metastases, one of which is bone metastasis. Object: Assessment of the risk factors for bone metastases in patients with breast cancer. Patients and Methods: This is a retrospective study of 316 patients with breast cancer who either had bone metastases at the time of diagnosis or developed it later on. The study was carried out between January 2013 and April 2018. Three hundred and sixteen patients were assigned into two groups. In the case group, 100 patients with breast cancer had been diagnosed with bone metastasis by CT, MRI, bone scan, and PET scan; in the control group, there were 216 cases in are control group with breast cancer metastasis to sites other than bone. The questionnaire was created to record all factors (with the exception of demographic information), such as age, histopathological reading for invasive lobular carcinoma, invasive ductal carcinoma, or another type of cancer, ER status, PR status, Her2neu status, lymph node status and stage, and menopausal status. Results: The majority were 45 years of age or younger, and 96.5% of them had invasive ductal carcinoma in terms of hormonal status. Positive ER and PR status is found in 67.7% and 67.1% of the cases, respectively; 40.5% of the cases had amplified Her2neu receptors, 78.5% of the cases had positive lymph nodes, and 41.9% of the cases had (N1) stage. The highest proportion of bone metastasis was associated with negative ER and PR receptors (46.2% and 49%, respectively), while no significant statistical association (P= 0.65). Conclusion: negative ER, PR status, and Her2neu receptors not amplified, lymph node involvement, age 45 and less, infiltrating lobular carcinoma (ILC) histological type, and menopausal state are significant risk factors for bone metastasis in breast cancer.

In this paper, Spline techniques have become prominent lately due to their effectiveness in addressing singular perturbation boundary value problems. These issues, defined by a boundary layer or a minor parameter associated with a derivative term, pose difficulties due to swift fluctuations in solutions adjacent to the boundary. Solutions to singularly perturbed involving both positive and negative changes in a spatial variable are shown in this review article. The methods presented here are algorithmic in nature. The singular perturbation that arises in neural activity simulation and the approaches proposed by numerous investigators between 2004 and 2024 are the only ones covered in this review. A variety of types of singularly perturbed were reviewed, including ordinary delay differential . Discovering what numerical and analytical strategies have been created in the past decade to address these types of issues is the primary objective of this review. Its secondary objective is to encourage academics to come up with novel, strong approaches to resolving related issues.

The integration of health insurance with Fixed Deposit Receipts (FDR) and Deposit Pension Schemes (DPS) represents a significant innovation in the banking sector, offering new opportunities for financial institutions, insurers, and consumers. This paper explores the potential of merging health insurance with FDR/DPS schemes, focusing on how such integration can enhance financial inclusivity and healthcare accessibility, particularly in developing countries.  The study outlines the theoretical framework supporting this integration and analyzes the associated challenges, including regulatory and operational barriers.  It also highlights the potential benefits for banks, such as customer base expansion and increased savings attraction, while offering consumers the dual advantage of financial security and health coverage. Through a case study of the banking sector in Bangladesh, this paper provides insights into how such models can be implemented in emerging economies. Additionally, we address the barriers to successful integration, including regulatory hurdles and consumer awareness. The findings indicate that this integration could serve as a strategic tool for banks to broaden their customer base and contribute to the healthcare system's resilience.   Finally, the paper discusses policy implications and future trends, emphasizing the role of technology in facilitating these hybrid financial products.  This research contributes to the growing body of knowledge on the intersection of finance and healthcare, offering strategic directions for stakeholders in both sectors

This qualitative literature review investigates the interplay between liquidity shocks and corporate resilience, focusing on the roles of trade credit and bank financing in firm performance. The review synthesizes existing research to elucidate how firms navigate liquidity constraints during economic turbulence, emphasizing the critical importance of strategic financial management. The findings reveal that liquidity shocks often compel firms to adopt conservative financial practices, which can limit their growth potential. However, effective utilization of trade credit serves as a vital buffer, allowing firms to maintain operational flexibility and mitigate risks associated with funding constraints. Furthermore, the review underscores the necessity for firms to employ diversified financing strategies that integrate trade credit and bank loans to enhance resilience and long-term performance. The study also highlights the evolving landscape of financial technology, which presents new opportunities for improving access to credit and supporting corporate sustainability. This review provides a foundation for future research into the complex dynamics of liquidity, trade credit, and bank financing, offering valuable insights for practitioners and policymakers alike.