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Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

This study examines the financial performance of PT Unilever Indonesia Tbk during the 2023–2025 period by evaluating key financial indicators, namely the Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA), and Return on Equity (ROE). The study aims to assess the company's financial condition and analyze the impact of its business transformation strategy on financial performance. A descriptive quantitative approach was employed using secondary data obtained from the company's published annual financial reports. Data analysis focused on comparing financial ratio trends over the three-year period to evaluate liquidity, solvency, and profitability performance. The findings indicate that the company's financial performance experienced fluctuations during the business transformation process. Liquidity and solvency gradually improved toward the end of the observation period, reflecting stronger short-term financial capability and a healthier capital structure. Profitability also demonstrated increased efficiency in utilizing company assets, although changes in equity returns indicated adjustments in capital management during the transformation process. Overall, the implementation of the company's transformation strategy contributed positively to strengthening financial performance and improving resilience in responding to changing business conditions and market competition. This study provides useful insights for management, investors, and other stakeholders in evaluating the effectiveness of corporate transformation strategies through financial ratio analysis and highlights the importance of maintaining financial stability to support sustainable business growth.

This research aims to analyze the gap between the profit-sharing principle as the normative foundation of Islamic economics and the risk management practices applied in sharia cooperatives, considering the ongoing inconsistencies in the implementation of the risk-sharing principle. The research method employs a qualitative approach thru literature study with thematic and comparative analysis techniques on relevant academic literature. The results and discussion indicate that sharia cooperatives tend to adopt a conventional risk management paradigm oriented toward institutional stability, thereby triggering the dominance of non-profit-sharing contracts and the shift of the concept of risk sharing to risk shifting in operational practices. The gap is influenced by structural factors, including limitations in managerial capacity, information asymmetry, potential moral hazard, and pressures of institutional sustainability. This study concludes that the risk management practices of sharia cooperatives do not fully reflect the principles of Islamic economics, thus necessitating a reconstruction of a more integrative and contextual risk management model. As a suggestion, sharia cooperatives need to develop a risk management framework based on risk sharing that is adaptive to operational risks without disregarding the values of justice and partnership as the main characteristics of Islamic economics.

Pressure sensitive labels (PSLs) made of polyethylene (PE) white are widely used in the packaging industry due to their flexibility, moisture resistance, and ease of application on various substrates. This study aimed to examine the effect of glossy and matte lamination on the tensile strength and color difference (ΔE) of PE white PSLs. An experimental method was employed, with tensile testing conducted using a universal testing machine (UTM) in accordance with ASTM standards and color measurement performed using a spectrodensitometer based on the CIE Lab system. The samples were divided into three treatment groups, namely no lamination, glossy lamination, and matte lamination, with ink coverage controlled at two design conditions, full ink and minim ink. The results indicated that lamination type significantly affected both the mechanical and visual characteristics of the labels. In the tensile strength test, the highest mean value was obtained by one treatment group, indicating superior resistance to tensile loading. In terms of color stability, higher ΔE values indicated greater color change and lower lightfastness, whereas lower ΔE values reflected better color retention. Overall, the findings show that the combination of lamination type and ink coverage influences the performance of PE white PSLs in both mechanical strength and color stability.

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.

Within the framework of Islamic family law (fiqh munakahat), the issue of nusyuz plays a significant role, as it is closely related to maintaining harmony and stability in the marital relationship. Generally, nusyuz is often defined as a form of a wife’s disobedience toward her husband. However, Islamic jurisprudence acknowledges that nusyuz can also be committed by a husband if he fails to fulfill the rights, responsibilities, and obligations he owes to his wife, in accordance with the principles of Sharia. This study aims to provide a comprehensive analysis of the concept of nusyuz in the context of family life, from the perspective of fiqh munakahat. The discussion covers the meaning and characteristics of nusyuz, its legal basis in Islamic sources, the factors contributing to its emergence, its various manifestations in married life, its implications for family relationships, and existing methods for addressing this issue. This study employs a literature review method supported by a descriptive qualitative approach, drawing on relevant literature from classical and contemporary Islamic legal sources. The results indicate that resolving issues of nusyuz should be approached through a gradual and constructive process, including counseling, dialogue, mediation, consultation, and reconciliation. These steps aim to restore mutual understanding and strengthen family unity. Therefore, raising awareness of each spouse’s rights and obligations is crucial to preventing nusyuz and creating a household filled with peace, love, mutual respect, and intimacy.

This study examines how Nicolás Maduro's anti-neoliberal politics in Venezuela triggered a systematic securitization process by the US from 2014 to 2026. Drawing on Securitization Theory (Buzan et al., 1998) and a Neo-Gramscian perspective (Cox, 1981), this study argues that Maduro's anti-neoliberal policies constitute a counter-hegemonic challenge created by the United States. This threat is framed as a threat to democracy, regional security, and ultimately the narco-state, ultimately leading to the military intervention of January 2026. Economic sanctions failed to pressure the regime, exacerbated the humanitarian crisis, and set a dangerous precedent for the norm of state sovereignty in international law, suggesting that this securitization process proved ineffective. By addressing temporal and conceptual gaps in previous research, this study adds to the Security Studies literature. This study also highlights implications for international law, regional stability in Latin America, and the broader debate on securitization practices in contemporary global politics and US foreign policy strategy and international security governance frameworks debates.  

Although MSMEs are crucial to the economy, the sustainability of non-franchise micro-enterprises is often hampered by suboptimal financial governance. Low utilization of financial information, lack of separation between personal and business finances, and unstructured cash flow management are challenges that can affect long-term business sustainability. This quantitative study aims to evaluate the impact of financial record keeping, capital planning, and cash cycle management on the sustainability of non-franchise micro-enterprises in Mekargalih Village, Garut Regency. Using a survey method and saturated sampling technique, data from 70 business owners were analyzed using multiple linear regression. The results of the study indicate that financial record keeping does not have a significant impact on business sustainability, indicating that recording activities are still administrative in nature and have not been optimally utilized as a basis for business decision-making. Conversely, capital planning and cash cycle management have been shown to have a positive and significant impact on business sustainability. Business owners who are able to plan capital needs and maintain smooth cash flow tend to be more able to maintain the stability of their business operations. Simultaneously, these three variables contribute 45.2% to business sustainability. This finding confirms that the ability to allocate capital andKeywords: business continuity; financial records; capital planning; cash cycle; micro-enterprises.

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.

 Toxic work environments are becoming an issue that is getting more and more attention in human resource management because of its destructive impact on the psychological well-being of employees and organizational stability. Unhealthy interpersonal relationships, authoritarian leadership, bullying, and recurrent disrespectful behavior create a work atmosphere full of stress and uncertainty. This condition not only triggers work stress, anxiety, and emotional exhaustion, it further exacerbates these challenges, as high work demands and a lack of work-life balance make employees, especially Generation Z, increasingly vulnerable to mental health disorders. This study aims to analyze the influence of toxic work environments on employees' mental health as well as its impact on the intention to quit their jobs. The method used is a literature study with a qualitative approach, analyzing relevant scientific articles. The results of the study showed that a toxic work environment characterized by violence, bullying, tyrannical leadership, unfriendliness, and exclusion had a significant effect on the increase in work stress, psychological pressure, work stress and intention to quit work. Toxic leadership is the main factor in forming an unhealthy work culture. Social support, especially from supervisors, plays a protective role as a protective factor that mediates these negative relationships. Generation Z was found to be more sensitive to injustice and rights violations in the workplace. The study concludes that organizations need to prioritize psychological safety, implement supportive leadership, and provide tangible organizational policies and support to maintain employees' mental health and reduce work stress rates for long-term organizational sustainability.

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.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

The government policy known as the Free Nutritional Meal Program (MBG) aims to improve public nutrition and reduce stunting rates in Indonesia. The purpose of this study is to examine the MBG Program from a political perspective, particularly considering political dynamics, legal risks, and fiscal issues. This research was conducted through literature review, reviewing various journals and academic sources. The results indicate that the MBG not only has social impacts but also influences political interests, poses risks to legal enforcement, and disrupts the sustainability of the state budget. Therefore, for the program to be successful and sustainable, strong regulations and oversight are required. Furthermore, this populist program is often utilized as an instrument for power legitimacy, demanding compromises between the executive and legislative branches during its budget approval process. Without a detailed legal framework, the policy's implementation is highly vulnerable to overlapping institutional authority and potential misappropriation of funds. Ultimately, technology-based monitoring strategies and accountable governance are the main keys to maintaining the stability of the State Budget (APBN).

California papaya leaves (Carica papaya L.) are known to contain various active compounds that have the potential to stimulate appetite and boost metabolism, making them a promising candidate for development as a pharmaceutical formulation. This study aims to design a capsule formulation of California papaya leaf extract with appropriate excipients and to evaluate its ability to increase body weight through preclinical testing using a zebrafish (Danio rerio). The extract was obtained via maceration with 96% ethanol and formulated into capsules using the wet granulation method in four variations (F0–F3). Physical evaluations included organoleptic properties, flowability, angle of repose, loss on drying, disintegration time, weight uniformity, and stability testing using the cycling test method. The results indicated that all formulas met the physical requirements, with disintegration times of 3–4 minutes and loss on drying <15%. Formula F2 exhibited the most optimal physical characteristics; however, stability testing revealed a decline in physical properties after extreme temperature treatment. Efficacy tests showed a significant increase in zebrafish weight (p < 0.05), with F3 yielding the best results. A high survival rate (≥80%) suggests the formulation is relatively safe. In conclusion, California papaya leaf extract capsules demonstrate significant potential as an agent to promote weight gain.

Background: Hepatocellular Carcinoma (HCC) is an abnormal cell growth in the liver characterized by increased number of dividing liver cells accompanied by malignant transformation. A common paraneoplastic phenomenon in HCC patients is hypoglycemia, which arises due to hepatic dysfunction impairing gluconeogenesis and glycogenolysis, as well as tumor-mediated IGF-II production. This condition causes hypoglycemia as a primary nursing problem requiring comprehensive nursing care. Objective: To describe the nursing care process for a patient with HCC focusing on blood glucose instability management and knowledge deficit intervention. Methods: This study used a descriptive qualitative method through a case study approach. Data were collected through interview, observation, documentation study, and literature review. Results: Two nursing diagnoses were identified: blood glucose instability related to hepatic dysfunction and knowledge deficit related to lack of information exposure. Nursing interventions performed included hypoglycemia management and disease process education. After 2x24 hours of nursing implementation, both diagnoses were partially resolved, as GDS values remained fluctuating and behavioral change had not been fully achieved. Conclusion: Comprehensive nursing management through routine blood glucose monitoring, dextrose administration, nutritional modification, and health education can improve blood glucose stability and patient knowledge in HCC patients.

Breast cancer remains a major global health challenge, with treatment effectiveness often limited by drug resistance and the toxic side effects of chemotherapy on normal cells. The exploration of bioactive compounds from natural sources through a medicinal chemistry approach offers a promising alternative strategy. This study aims to examine the molecular mechanisms of action and Structure-Activity Relationships (SAR) of various natural compound scaffolds as potential breast anticancer agents. The method employed was a systematic narrative literature review of 15 recent scientific articles evaluating computational parameters, including molecular docking, as well as in vitro and in vivo activities. The results indicate that polyphenols, flavonoids such as quercetin and EGCG, and curcumin possess strong cytotoxic activity and high binding affinity toward cancer-related target macromolecules. SAR analysis demonstrates that key structural features, including the number and position of free phenolic hydroxyl groups, the presence of gallate ester groups, and conjugated diketone systems, play a crucial role in determining ligand receptor complex stability. These interactions are supported by hydrogen bonding, hydrophobic interactions, and favorable steric compatibility within receptor binding sites. Computational findings further suggest that structural optimization can enhance ligand selectivity and improve pharmacokinetic properties. This study concludes that natural phytochemical scaffolds have significant potential as lead compounds and provide a rational basis for Computer-Aided Drug Design in developing more potent, selective, multi-target, and safer breast anticancer therapies.

Cutaneous fungal infections caused by Malassezia furfur remain a significant health concern in tropical regions, highlighting the need for safe and effective alternative therapies. Moringa oleifera L. leaves are reported to contain various secondary metabolites, including flavonoids, tannins, and saponins, which exhibit potential antifungal activity. This study aimed to develop a topical suspension formulation of Moringa oleifera leaf extract and to evaluate the effect of varying extract concentrations on the physical characteristics of the preparation. An experimental method was employed using four formulations: F0 as the control, and F1, F2, and F3 containing 9%, 10%, and 11% extract, respectively. Evaluation parameters included organoleptic properties, homogeneity, pH, viscosity, and adhesiveness, as well as stability testing using a cycling test method for 12 days. The results demonstrated that all formulations exhibited good organoleptic characteristics, homogeneity, and viscosity. The pH values remained within the acceptable range for skin preparations, although slight fluctuations were observed during storage. Adhesiveness also showed variations across several testing cycles. Overall, the formulations met acceptable physical quality criteria and demonstrated potential for further development as topical suspensions; however, formulation optimization is still required to enhance stability during storage.

Cutaneous fungal infections caused by Malassezia furfur remain a significant health concern in tropical regions, highlighting the need for safe and effective alternative therapies. Moringa oleifera L. leaves are reported to contain various secondary metabolites, including flavonoids, tannins, and saponins, which exhibit potential antifungal activity. This study aimed to develop a topical suspension formulation of Moringa oleifera leaf extract and to evaluate the effect of varying extract concentrations on the physical characteristics of the preparation. An experimental method was employed using four formulations: F0 as the control, and F1, F2, and F3 containing 9%, 10%, and 11% extract, respectively. Evaluation parameters included organoleptic properties, homogeneity, pH, viscosity, and adhesiveness, as well as stability testing using a cycling test method for 12 days. The results demonstrated that all formulations exhibited good organoleptic characteristics, homogeneity, and viscosity. The pH values remained within the acceptable range for skin preparations, although slight fluctuations were observed during storage. Adhesiveness also showed variations across several testing cycles. Overall, the formulations met acceptable physical quality criteria and demonstrated potential for further development as topical suspensions; however, formulation optimization is still required to enhance stability during storage.

This study examines the influence of interest rates and the rupiah exchange rate on the money supply in Indonesia during the 2023–2025 period. A quantitative research approach was employed using monthly secondary data obtained from Statistics Indonesia (BPS) and Bank Indonesia (BI). The data were analyzed through multiple linear regression with the assistance of SPSS software. Several statistical procedures were applied, including classical assumption tests, partial significance tests (t-tests), simultaneous significance tests (F-tests), and coefficient of determination (R²) analysis. The findings reveal that interest rates have a significant negative effect on the money supply, while the rupiah exchange rate exerts a significant positive influence. Furthermore, the simultaneous test indicates that both variables collectively have a significant impact on the money supply. The coefficient of determination shows that 85.4% of the variation in the money supply can be explained by changes in interest rates and the rupiah exchange rate. These results highlight the importance of maintaining stable interest rates and exchange rates as essential components of monetary policy aimed at regulating the money supply and preserving monetary stability in Indonesia.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.