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Background: Chronic Kidney Disease (CKD) patients undergoing long-term hemodialysis often experience anxiety due to therapy dependency, changes in health conditions, and uncertainty regarding the disease. Unresolved anxiety can reduce quality of life, comfort, and patient adherence to treatment. Therefore, non-pharmacological interventions are needed that are safe, easy to implement, and aligned with the patient's spiritual values. Mantram Tri Sandya has the potential to provide relaxation and psychological calm, thus helping to reduce anxiety. However, scientific evidence regarding the effectiveness of this therapy in hemodialysis patients is still limited, making this research crucial.  Purpose: The aim of this research is to determine the effect of the Tri Sandya mantra on reducing anxiety levels in CKD patients who are undergoing hemodialysis at the Buleleng Regency Regional Hospital. Methods: Pre-Experimental One Group Pre-Test & Post-Test research design with the Wilcoxon Signed Rank Test conducted at the Buleleng Regency Regional General Hospital. Data were collected using the HARS (Hamilton Anxiety Rating Scale) questionnaire sheet with Purposive Sampling technique with a sample size of 88 people. Results: The results obtained from this study were that there was a decrease in anxiety levels when given Mantra Tri Sandya therapy to CKD patients who were undergoing hemodialysis with a P value <0.001 (p<0.05). Conclusion: There is a significant effect of administering the Tri Sandy mantra on reducing anxiety levels in CKD patients who are undergoing hemodialysis at the Buleleng Regency Regional Hospital.

The rapid development of digital service platforms, particularly online motorcycle taxi services, has transformed modern economic transaction patterns, where the relationship between drivers and consumers is categorized as an ijarah (service lease) contract. However, in practice, various forms of breach of contract (wanprestasi) frequently occur and potentially harm one of the parties. This study aims to analyze the concept of the ijarah contract, identify the forms of wanprestasi, and review them based on Sharia Economic Law principles. This qualitative normative research employs a literature-based approach, utilizing secondary data from classical fiqh books, DSN-MUI fatwas, the Indonesian Civil Code, and reputable academic journals, which are analyzed descriptively-analytically. The findings reveal that breaches occur in three typologies: unilateral cancellation by consumers (ta'addi), negligence and fictitious account manipulation by drivers (taqshir and tadlis), and disproportionate cancel fee policies by platforms, indicating structural dzulm. From a sharia perspective, the settlement of wanprestasi requires compensation (ta'widh) calculated based on actual loss without riba elements, while classifying technical obstacles as force majeure under a fault-based liability approach. This study implies the need to reconstruct the digital ecosystem so that it is not only formally valid but also enforces substantive justice based on maslahah (public interest), al-‘adl (justice), mas,uliyyah (responsibility), and tawazun (proportional balance)

The purpose of this study is to examine the impact of financial constraints on workforce management practices in agricultural companies listed on the Indonesia Stock Exchange between 2022 and 2025. Earnings management was measured using the DeAngelo Discretionary Accrual model, while financial distress was measured using the Altman Z-Score. A purposive sample yielded 32 observations, and the data were analyzed quantitatively using simple linear regression in SPSS. The analysis results showed that Financial Distress had no significant effect on Earnings Management, with a significance value of 0.718 (>0.05). The coefficient of determination (R²) of 0.004 indicates that only 0.4% of the variation in earnings management practices can be explained by financial distress, while the remaining 99.6% is influenced by factors outside this model. This finding suggests that the adoption of earnings management strategies in pharmaceutical companies is not primarily driven by financial distress. Therefore, it is recommended that future research include additional variables that could potentially influence earnings management.

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

The increasingly dynamic organizational environment demands strategic human resource management to maintain competitiveness and achieve organizational goals. Performance appraisal serves not only as an evaluation tool but also as the basis for decision-making regarding employee career development. This study aims to analyze the impact of performance appraisal on career development based on various empirical research findings. The method used is a Systematic Literature Review (SLR) with the PRISMA framework and a descriptive-qualitative approach. Data were obtained from scientific articles on Google Scholar, Garuda, and ScienceDirect containing quantitative studies from the 2022–2026 period. The data were then analyzed using narrative synthesis to identify patterns of relationships between performance appraisal and career development. The results of the study indicate that performance appraisal has a positive and significant effect on employee career development. An objective, transparent, and measurable appraisal system helps organizations identify employee potential, enhance competencies, determine training needs, and support promotions and career opportunities. These findings align with Performance Management Theory, Human Capital Theory, Goal-Setting Theory, and Expectancy Theory. Therefore, the integration of performance appraisal and career development is a key strategy in building a competent, productive, and sustainable workforce.

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.

Evaluating food portions and types in the Free Nutritious Meal (MBG) program is generally still performed manually, which is time-consuming and potentially subjective. This study aims to develop an automated deep learning-based system to efficiently detect food types and estimate their nutritional value. The method used is a quantitative experiment integrating the YOLOv11m architecture for real-time object detection and the Google Gemini 2.5 Flash Large Language Model (LLM) for contextual nutritional estimation reasoning. The model training utilized a dataset of 2,630 food tray images categorized into five classes (fruit, side dish, staple food, vegetable, milk) that had undergone an augmentation process. The results showed that the YOLOv11m model achieved excellent performance with a mean Average Precision (mAP@0.5) of 0.9727 and the highest F1-score of 0.9522 at a confidence threshold of 0.1. Furthermore, validation of the LLM integration demonstrated a high prediction agreement rate of 85%. In conclusion, the combination of the YOLOv11m algorithm and LLM reasoning is capable of detecting and validating nutritional classification quickly and precisely, showing strong potential as an objective nutritional evaluation monitoring solution for large-scale MBG program implementation.

Lead (Pb²⁺) is a hazardous heavy metal commonly found in industrial wastewater and poses serious risks to human health and the environment due to its toxic and non-biodegradable nature. Therefore, an effective and environmentally friendly treatment method is required to reduce Pb²⁺ concentration in wastewater. This study aimed to evaluate the effect of pH and initial Pb²⁺ concentration on the adsorption capacity of ramie leaf (Boehmeria nivea) bioadsorbent activated with NaOH. The adsorption process was conducted using a batch system with pH variations of 4, 5, and 7 and initial Pb²⁺ concentrations of 20, 25, and 30 mg/L. The residual Pb²⁺ concentration was analyzed using Atomic Absorption Spectrophotometry (AAS), and the adsorption performance was evaluated based on removal efficiency and adsorption capacity (Qe). The results showed that pH and initial Pb²⁺ concentration significantly affected the adsorption performance. The optimum adsorption condition was obtained at pH 5, with a maximum removal efficiency of 99.20% and a total adsorption capacity of 18.56 mg/g. The increase in pH from 4 to 5 enhanced adsorption performance due to reduced competition between H⁺ and Pb²⁺ ions for active sites on the adsorbent surface. Increasing the initial Pb²⁺ concentration tended to increase adsorption capacity, although removal efficiency remained relatively stable due to the limited number of active adsorption sites. The Relative Standard Deviation (RSD) values ranged from 1.56% to 3.37%, indicating good precision and repeatability of the experimental data. These findings demonstrate that NaOH-activated ramie leaves have considerable potential as an effective, low-cost, and environmentally friendly bioadsorbent for Pb²⁺ removal from wastewater.

The increasing demand for electricity and high dependence on the utility power grid have driven the adoption of photovoltaic (PV) power generation as an environmentally friendly alternative energy source. This study aims to analyze the techno-economic feasibility of a load-sharing PV power generation system, focusing on technical analysis, operational costs, electricity bill savings, and environmental impacts. The research was conducted using quantitative methods to compare energy from photovoltaic generation and the grid, carbon emission calculations using an emission factor of 0,87 kgCO₂/kWh, and economic evaluation through parameters such as Net Present Value (NPV), Return on Investment (ROI), Cost of Energy (COE), and Payback Period (PP). The research results indicate that the photovoltaic panel generation system enables reducing utility grid energy consumption and reducing carbon emissions by 4,85 tons of CO₂ in 2024, increasing to 8,45 tons of CO₂ in 2025. The economic analysis indicates that the NPV value is not yet optimal; however, the ROI stands at 15%, the COE is Rp. 980.08/kWh, and the Payback Period is 6,56 years. The system is feasible for long-term investment. Overall, the implementation of the photovoltaic power plant demonstrates good potential in supporting carbon emission reduction, increasing the utilization of renewable energy, and reducing dependence on fossil-based energy.

Plastic waste, particularly plastic bottles, has become one of the major challenges in urban environmental management due to its increasing volume and potential to pollute ecosystems. In Bogor City, plastic waste constitutes a significant proportion of daily municipal solid waste, highlighting the need for effective and sustainable waste management models. This study aims to analyze the role of the Reduce, Reuse, Recycle Waste Processing Facility (TPS3R) in managing plastic bottle waste in Bogor City, with a case study of the Eco Techno Park at Ibn Khaldun University (UIKA) Bogor. The research employed a descriptive qualitative method using a case study approach. Data were collected through field observations, in-depth interviews with facility managers, and reviews of relevant documents and literature. The findings indicate that the TPS3R Eco Techno Park has successfully implemented the 3R principles through an integrated system supported by environmentally friendly technologies and a circular economy framework. Plastic bottle waste is managed through sorting, shredding, and recycling processes to produce value-added products, including plastic pellets, handicrafts, and construction materials. In addition, organic waste management is integrated through the cultivation of Black Soldier Fly (BSF) larvae. The facility has contributed to reducing the volume of waste sent to landfills by approximately 18%. The study implies that strengthening regulatory support, enhancing community participation, and developing circular economy-based business models are essential to ensure the long-term sustainability of waste management programs and support Bogor City's waste reduction targets.

Guided Bone Regeneration (GBR) relies on a barrier membrane to prevent soft tissue invasion in the wound area and maintain space for bone formation. Conventional membranes generally function as a passive barrier without enhancing osteogenesis. Membranes fabricated with the addition of β-TCP were developed to enhance membrane bioactivity. This review aims to evaluate the role of β-TCP as a bioactive component in barrier membranes used in GBR procedures. The study used a narrative review approach with literature sources from PubMed, Google Scholar, and ScienceDirect in the period 2016–2026. The keywords used included “guided bone regeneration," “barrier membrane," and “β-tricalcium phosphate." The selected articles were English-language experimental studies with relevant topics. A total of 7 articles met the inclusion criteria. The incorporation of native β-TCP showed increased osteoconductivity, hydrophilicity, and mechanical strength of the membrane. The release of calcium and phosphate ions plays a role in increasing osteoblast proliferation and osteogenic marker expression. In vitro and in vivo studies also demonstrated increased new bone formation and improved regeneration space maintenance compared to conventional membranes. The optimal concentration of β-TCP varies depending on the polymer matrix. β-TCP-based membranes have the potential to act as bioactive barrier membranes that not only act as a barrier but also support bone regeneration. Further research, particularly human clinical trials, is needed to confirm their effectiveness and safety.

Sandwich composites are lightweight structural materials with a high strength-to-weight ratio and have potential as alternatives to conventional materials. This study aims to analyze the effects of core thickness variation and the number of skin layers on the bending strength of fiberglass-skinned sandwich composites with an A-flute cardboard honeycomb core. The research employed an experimental method using three-point bending tests in accordance with ASTM C393. Core thicknesses of 10 mm, 20 mm, and 30 mm were investigated, while the number of fiberglass skin layers was varied at 1, 2, and 4 layers. Bending strength was evaluated based on core shear strength and skin bending stress, expressed in MPa. The results show that the highest average core shear strength was obtained at a core thickness of 10 mm with 4 skin layers, while the lowest value occurred at a core thickness of 30 mm with 1 skin layer. The highest skin bending stress of 43.40 MPa was achieved by the specimen with a 10 mm core thickness and 1 skin layer, whereas the lowest value of 11.83 MPa was observed at a 30 mm core thickness with 4 skin layers. These results indicate that increasing core thickness tends to reduce bending strength based on core shear strength, while increasing the number of skin layers enhances the bending performance of the sandwich composite, and an interaction effect between the two variables is present.

The Kampung Bahari Nusantara (KBN) Program is one of the Indonesian Navy's community empowerment initiatives aimed at improving the welfare of coastal communities through the development of economic, educational, health, tourism, and defense sectors. Tlocor Hamlet, Kedungpandan Village, Jabon District, Sidoarjo Regency, possesses significant coastal resource potential and marine tourism opportunities; however, the implementation of the program has not yet achieved optimal results. This study aims to analyze the implementation of the Kampung Bahari Nusantara Program and formulate strategies to optimize its contribution to community welfare improvement. The research employed a qualitative descriptive approach through observation, interviews, and documentation involving village officials, community members, and representatives of the Indonesian Navy. The findings indicate that the program has positively impacted infrastructure development, tourism growth, and public service accessibility. Nevertheless, several challenges remain, including limited community participation, inadequate human resources, insufficient educational and health personnel, and weak inter-agency coordination. The study concludes that optimization can be achieved through strengthening stakeholder collaboration, enhancing community empowerment, improving infrastructure maintenance, and expanding educational and health services. These efforts are expected to promote sustainable welfare improvement and strengthen maritime resilience in coastal areas.

This community service initiative aims to enhance the knowledge and skills of the residents of Ilih Village, Damer District, Southwest Maluku Regency, regarding the use of banana corms as a nutritious and cost-effective alternative food source. Banana corms have historically been underutilized and generally treated merely as agricultural waste. Through training and mentoring sessions, the community was educated on the nutritional content of banana corms, processing techniques, and business opportunities for home-based banana corm nugget production. The methods employed included outreach, demonstrations, hands-on nugget-making training, and an evaluation of the activity's outcomes. The results indicate a high level of community enthusiasm for the innovation of processing banana corms into nuggets. Following the activity, participants demonstrated increased knowledge regarding the utilization of local food ingredients, hygienic processing techniques, and the economic potential of the processed product. The banana corm nuggets offered a pleasant taste and appealing texture, and were well-received by the community. Furthermore, the product's low production cost suggests it could serve as a source of additional income for villagers. This initiative is expected to support local food security and improve community welfare through the development of food businesses based on local resources.

Background: Adolescence is often characterized as a period of puberty. Early menarche is associated with increased mortality and morbidity risks in later life among girls who experience menarche at an early age. Menarche is the first menstrual event in girls, marked by the shedding of the uterine lining and vaginal bleeding. The tendency to consume unhealthy foods, particularly fast food, as well as sugar-sweetened beverages (SSBs), may have adverse effects on health and potentially influence the timing of menarche. Objective: This study aimed to analyze the relationship between healthy food selection, sugar-sweetened beverage consumption, and the incidence of early menarche. Methods: This study employed a cross-sectional design. The sample consisted of 30 female students. Data were analyzed using the Spearman Rank correlation test. Results: The results showed that healthy food selection was significantly associated with the incidence of early menarche (p = 0.005) with a moderate correlation strength (ρ = 0.449). Similarly, sugar-sweetened beverage consumption was significantly associated with the incidence of menarche (p = 0.000) and demonstrated a very strong correlation (ρ = 0.841). Conclusion: There was a significant relationship between healthy food selection and sugar-sweetened beverage consumption with the incidence of menarche. Sugar-sweetened beverage consumption showed a stronger relationship with menarche incidence compared to healthy food selection.

The rapid advancement of digital technology has significantly transformed various aspects of human life, including the education sector. In the Society 5.0 era, educational institutions are expected to integrate digital technologies into learning processes to develop adaptive, innovative, and globally competitive human resources. This study aims to analyze digital technology-based learning innovations in improving educational quality, identify their potential benefits, and examine the challenges and strategies for optimizing their implementation. This research employed a qualitative descriptive approach through a literature review by analyzing relevant academic sources, including scholarly journals, books, conference proceedings, and other scientific publications. The findings indicate that digital learning innovations are implemented through the utilization of Learning Management Systems (LMS), Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), interactive learning media, blended learning, and flipped classroom models. These technologies contribute to enhancing learning effectiveness, expanding educational accessibility, increasing student motivation and engagement, and fostering essential twenty-first-century competencies. Nevertheless, several challenges remain, including digital inequality, inadequate technological infrastructure, limited digital competencies among educators, and concerns related to digital ethics and cybersecurity. Therefore, effective implementation requires comprehensive strategies, such as strengthening teachers' digital competencies, improving educational infrastructure, developing adaptive curricula, integrating innovative learning media, and promoting digital literacy and ethical awareness. These efforts are expected to support the development of a more adaptive, inclusive, and high-quality education system that aligns with the demands of the Society 5.0 era.

Aromatherapy is the use of essential oils derived from natural materials to improve physical and psychological well-being. One of the most popular aromatherapy products is the aromatherapy candle, which provides relaxation while creating a comfortable atmosphere. This study aimed to develop aromatherapy candles based on agarwood (Aquilaria malaccensis) leaf extract, evaluate product quality, analyze public acceptance, and identify their potential as an entrepreneurial opportunity. This study employed an experimental method with a descriptive approach. The research stages included the extraction of agarwood leaves through a distillation process, the formulation of aromatherapy candles, product validation by three experts using sensory evaluation, and a public acceptance test involving 40 respondents using a Likert-scale questionnaire. The results showed that the third experiment produced the best extract characteristics, including a golden-yellow color, a stronger distinctive agarwood aroma, and an oily texture. The public acceptance test indicated that the average scores for color, texture, ease of use, and aroma were 3.16, 2.90, 3.42, and 3.02, respectively, which were categorized as good to very good. These findings demonstrate that agarwood leaf extract has the potential to be used as an alternative ingredient in the production of aromatherapy candles, in addition to receiving a high level of public acceptance, the product possesses economic value and can be developed as an innovative product and entrepreneurial opportunity in the beauty, spa, wellness, and creative industries.

This study discusses the rules of al-masyaqqah tajlibu at-taysir as one of the rules of asasiyyah fiqhiyyah which has an important role in the formation and application of Islamic law. This rule emphasizes that the difficulties (masyaqqah) experienced by the mukallaf can be the reason for the provision of convenience (taysir) in the implementation of sharia law. This research aims to explain the concept of masyaqqah, the legal basis of the rules, the forms of rukhsah given by the sharia, and the limitations and exceptions of its application. The research method uses literature studies by analyzing fiqh literature, ushul fiqh, and relevant Islamic law sources. The results of the study show that the masyaqqah that can be the basis for legal leniency is not ordinary difficulties in worship and muamalah, but difficulties that exceed normal limits and have the potential to cause harm. The basis of this rule is found in the Qur'an and Hadith, which affirm that Allah desires ease and does not desire difficulties for His servants. In its application, masyaqqah is classified into three levels: light, medium, and severe, with different legal consequences. The forms of rukhsah include mandatory, sunnah, mubah, khilaf al-aula, and makruh according to the conditions. However, the application of this rule is not absolute because there are limits to remain in harmony with maqashid al-shari'ah. Thus, this rule is an important instrument in maintaining a balance between the demands of sharia and human capabilities.

The rapid development of Generative Artificial Intelligence (AI) technology has brought about significant changes in various fields, including higher education. One of its primary functions is to assist students in completing academic writing assignments. This study aims to explore the use of Generative AI in enhancing students’ academic writing skills and to identify the advantages and challenges faced in the field of education. The method used in this study is a literature review, analyzing various scientific works from both domestic and international sources regarding Generative AI, scientific writing, and higher education published between 2023 and 2025. The findings indicate that Generative AI can assist students in formulating ideas, structuring their writing, improving grammar, and boosting writing productivity. Additionally, this technology contributes to enhancing students’ confidence and efficiency in the academic writing process. However, various challenges were also identified, such as the risk of academic misconduct, excessive reliance on AI-generated content, and concerns regarding the accuracy and authenticity of information. Therefore, the use of generative AI must be accompanied by digital literacy and an understanding of ethical considerations to ensure its responsible use in educational settings. This study indicates that generative AI has great potential to improve academic writing skills when used appropriately and responsibly.

Human rights are fundamental rights inherent to every individual from birth and are guaranteed under statutory laws and regulations. These rights are universal in nature, inherent to every person, and must be respected, protected, and fulfilled by the state as well as all elements of society. However, in practice, various conditions continue to trigger human rights violations committed by both individuals and state officials. This phenomenon indicates that the protection of human rights still faces numerous challenges in its implementation. This study aims to examine the relationship between law enforcement officers and civilians, determine the extent to which the actions of law enforcement officers can be categorized as human rights violations, and analyze the mechanisms of oversight and accountability in handling cases of human rights violations. This study employed a qualitative approach using a case study method to obtain an in-depth understanding of the phenomenon under investigation. The data were analyzed descriptively to illustrate the relationship between law enforcement officers and civilians within the context of human rights protection. The findings reveal that power asymmetry is one of the main factors contributing to the abuse of authority by law enforcement officers. This condition subsequently increases the potential for human rights violations and underscores the importance of effective oversight and accountability in ensuring that law enforcement officers perform their duties and exercise their authority in accordance with applicable legal provisions.